Squeeze of Economic Activity by Carry Trades Induced by Zero Interest Rates, Financial Instability, World Inflation Waves, Collapse of United States Dynamism of Income Growth and Employment Creation, World Cyclical Slow Growth and Global Recession Risk
Carlos M. Pelaez
© Carlos M. Pelaez, 2009, 2010, 2011, 2012, 2013, 2014
Executive Summary
I World Inflation Waves
IA Appendix: Transmission of Unconventional Monetary Policy
IB1 Theory
IB2 Policy
IB3 Evidence
IB4 Unwinding Strategy
IB United States Inflation
IC Long-term US Inflation
ID Current US Inflation
IE Theory and Reality of Economic History, Cyclical Slow Growth Not Secular Stagnation and Monetary Policy Based on Fear of Deflation
II Collapse of United States Dynamism of Income Growth and Employment Creation
III World Financial Turbulence
IIIA Financial Risks
IIIE Appendix Euro Zone Survival Risk
IIIF Appendix on Sovereign Bond Valuation
IV Global Inflation
V World Economic Slowdown
VA United States
VB Japan
VC China
VD Euro Area
VE Germany
VF France
VG Italy
VH United Kingdom
VI Valuation of Risk Financial Assets
VII Economic Indicators
VIII Interest Rates
IX Conclusion
References
Appendixes
Appendix I The Great Inflation
IIIB Appendix on Safe Haven Currencies
IIIC Appendix on Fiscal Compact
IIID Appendix on European Central Bank Large Scale Lender of Last Resort
IIIG Appendix on Deficit Financing of Growth and the Debt Crisis
IIIGA Monetary Policy with Deficit Financing of Economic Growth
IIIGB Adjustment during the Debt Crisis of the 1980s
V World Economic Slowdown. Table V-1 is constructed with the database of the IMF (http://www.imf.org/external/pubs/ft/weo/2013/02/weodata/index.aspx) to show GDP in dollars in 2012 and the growth rate of real GDP of the world and selected regional countries from 2013 to 2016. The data illustrate the concept often repeated of “two-speed recovery” of the world economy from the recession of 2007 to 2009. The IMF has lowered its forecast of the world economy to 2.9 percent in 2013 but accelerating to 3.6 percent in 2014, 4.0 percent in 2015 and 4.1 percent in 2016. Slow-speed recovery occurs in the “major advanced economies” of the G7 that account for $34,560 billion of world output of $72,216 billion, or 47.9 percent, but are projected to grow at much lower rates than world output, 2.1 percent on average from 2013 to 2016 in contrast with 3.6 percent for the world as a whole. While the world would grow 15.4 percent in the four years from 2013 to 2016, the G7 as a whole would grow 8.6 percent. The difference in dollars of 2012 is rather high: growing by 15.4 percent would add $11.1 trillion of output to the world economy, or roughly, two times the output of the economy of Japan of $5,960 billion but growing by 8.6 percent would add $6.2 trillion of output to the world, or about the output of Japan in 2012. The “two speed” concept is in reference to the growth of the 150 countries labeled as emerging and developing economies (EMDE) with joint output in 2012 of $27,221 billion, or 37.7 percent of world output. The EMDEs would grow cumulatively 21.9 percent or at the average yearly rate of 5.1 percent, contributing $6.0 trillion from 2013 to 2016 or the equivalent of somewhat less than the GDP of $8,221 billion of China in 2012. The final four countries in Table V-1 often referred as BRIC (Brazil, Russia, India, China), are large, rapidly growing emerging economies. Their combined output in 2012 adds to $14,346 billion, or 19.9 percent of world output, which is equivalent to 41.5 percent of the combined output of the major advanced economies of the G7.
Table V-1, IMF World Economic Outlook Database Projections of Real GDP Growth
GDP USD 2012 | Real GDP ∆% | Real GDP ∆% | Real GDP ∆% | Real GDP ∆% | |
World | 72,216 | 2.9 | 3.6 | 4.0 | 4.1 |
G7 | 34,560 | 1.2 | 2.0 | 2.5 | 2.6 |
Canada | 1,821 | 1.6 | 2.2 | 2.4 | 2.5 |
France | 2,614 | 0.2 | 1.0 | 1.5 | 1.7 |
DE | 3,430 | 0.5 | 1.4 | 1.4 | 1.3 |
Italy | 2,014 | -1.8 | 0.7 | 1.1 | 1.4 |
Japan | 5,960 | 1.9 | 1.2 | 1.1 | 1.2 |
UK | 2,477 | 1.4 | 1.9 | 2.0 | 2.0 |
US | 16,245 | 1.6 | 2.6 | 3.4 | 3.5 |
Euro Area | 12,199 | -0.4 | 1.0 | 1.4 | 1.5 |
DE | 3,430 | 0.5 | 1.4 | 1.4 | 1.3 |
France | 2,614 | 0.2 | 1.0 | 1.5 | 1.7 |
Italy | 2,014 | -1.8 | 0.7 | 1.1 | 1.4 |
POT | 212 | -1.8 | 0.8 | 1.5 | 1.8 |
Ireland | 211 | 0.6 | 1.8 | 2.5 | 2.5 |
Greece | 249 | -4.2 | 0.6 | 2.9 | 3.7 |
Spain | 1,324 | -1.3 | 0.2 | 0.5 | 0.7 |
EMDE | 27,221 | 4.5 | 5.1 | 5.3 | 5.4 |
Brazil | 2,253 | 2.5 | 2.5 | 3.2 | 3.3 |
Russia | 2,030 | 1.5 | 3.0 | 3.5 | 3.5 |
India | 1,842 | 3.8 | 5.1 | 6.3 | 6.5 |
China | 8,221 | 7.6 | 7.3 | 7.0 | 7.0 |
Notes; DE: Germany; EMDE: Emerging and Developing Economies (150 countries); POT: Portugal
Source: IMF World Economic Outlook databank http://www.imf.org/external/pubs/ft/weo/2013/02/weodata/index.aspx
Continuing high rates of unemployment in advanced economies constitute another characteristic of the database of the WEO (http://www.imf.org/external/pubs/ft/weo/2013/02/weodata/index.aspx). Table V-2 is constructed with the WEO database to provide rates of unemployment from 2012 to 2016 for major countries and regions. In fact, unemployment rates for 2012 in Table V-2 are high for all countries: unusually high for countries with high rates most of the time and unusually high for countries with low rates most of the time. The rates of unemployment are particularly high for the countries with sovereign debt difficulties in Europe: 15.7 percent for Portugal (POT), 14.7 percent for Ireland, 24.2 percent for Greece, 25.0 percent for Spain and 10.6 percent for Italy, which is lower but still high. The G7 rate of unemployment is 7.4 percent. Unemployment rates are not likely to decrease substantially if slow growth persists in advanced economies.
Table V-2, IMF World Economic Outlook Database Projections of Unemployment Rate as Percent of Labor Force
% Labor Force 2012 | % Labor Force 2013 | % Labor Force 2014 | % Labor Force 2015 | % Labor Force 2016 | |
World | NA | NA | NA | NA | NA |
G7 | 7.4 | 7.3 | 7.3 | 7.0 | 6.6 |
Canada | 7.3 | 7.2 | 7.1 | 7.0 | 6.9 |
France | 10.3 | 11.0 | 11.1 | 10.9 | 10.5 |
DE | 5.5 | 5.6 | 5.5 | 5.5 | 5.5 |
Italy | 10.7 | 12.5 | 12.4 | 12.0 | 11.2 |
Japan | 4.4 | 4.2 | 4.3 | 4.3 | 4.3 |
UK | 8.0 | 7.7 | 7.5 | 7.3 | 7.0 |
US | 8.1 | 7.6 | 7.4 | 6.9 | 6.4 |
Euro Area | 11.4 | 12.3 | 12.2 | 12.0 | 11.5 |
DE | 5.5 | 5.6 | 5.5 | 5.5 | 5.5 |
France | 10.3 | 11.0 | 11.1 | 10.9 | 10.5 |
Italy | 10.7 | 12.5 | 12.4 | 12.0 | 11.2 |
POT | 15.7 | 17.4 | 17.7 | 17.3 | 16.8 |
Ireland | 14.7 | 13.7 | 13.3 | 12.8 | 12.4 |
Greece | 24.2 | 27.0 | 26.1 | 24.0 | 21.0 |
Spain | 25.0 | 26.9 | 26.7 | 26.5 | 26.2 |
EMDE | NA | NA | NA | NA | NA |
Brazil | 5.5 | 5.8 | 6.0 | 6.5 | 6.5 |
Russia | 6.0 | 5.7 | 5.7 | 5.5 | 5.5 |
India | NA | NA | NA | NA | NA |
China | 4.1 | 4.1 | 4.1 | 4.1 | 4.1 |
Notes; DE: Germany; EMDE: Emerging and Developing Economies (150 countries)
Source: IMF World Economic Outlook databank http://www.imf.org/external/pubs/ft/weo/2013/02/weodata/index.aspx
Table V-3 provides the latest available estimates of GDP for the regions and countries followed in this blog from IQ2012 to IIQ2013 available now for all countries. There are preliminary estimates for all countries for IVQ2013. Growth is weak throughout most of the world.
- Japan. The GDP of Japan increased 0.9 percent in IQ2012 and 3.2 percent relative to a year earlier but part of the jump could be the low level a year earlier because of the Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011. Japan is experiencing difficulties with the overvalued yen because of worldwide capital flight originating in zero interest rates with risk aversion in an environment of softer growth of world trade. Japan’s GDP fell 0.4 percent in IIQ2012 at the seasonally adjusted annual rate (SAAR) of minus 1.7 percent, which is much lower than 3.7 percent in IQ2012. Growth of 3.2 percent in IIQ2012 in Japan relative to IIQ2011 has effects of the low level of output because of Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011. Japan’s GDP contracted 0.8 percent in IIIQ2012 at the SAAR of minus 3.1 percent and decreased 0.2 percent relative to a year earlier. Japan’s GDP contracted percent in IVQ2012 at the SAAR of minus 0.2 percent and decreased 0.3 percent relative to a year earlier. Japan grew 1.2 percent in IQ2013 at the SAAR of 4.0 percent and changed 0.0 percent relative to a year earlier. Japan’s GDP increased 1.0 percent in IIQ2013 at the SAAR of 3.9 percent and increased 1.2 percent relative to a year earlier. Japan’s GDP grew 0.3 percent in IIIQ2013 at the SAAR of 1.1 percent and increased 2.3 percent relative to a year earlier. In IVQ2013, Japan’s GDP increased 0.3 percent at the SAAR of 1.0 percent, increasing 2.7 percent relative to a year earlier.
- China. The GDP of China grew at 2.1 percent in IIQ2012, which annualizes to 8.7 percent and 7.6 percent relative to a year earlier. China grew at 2.0 percent in IIIQ2012, which annualizes at 8.2 percent and 7.4 percent relative to a year earlier. In IVQ2012, China grew at 1.9 percent, which annualizes at 7.8 percent, and 7.9 percent in IVQ2012 relative to IVQ2011. In IQ2013, China grew at 1.5 percent, which annualizes at 6.1 percent and 7.7 percent relative to a year earlier. In IIQ2013, China grew at 1.8 percent, which annualizes at 7.4 percent and 7.5 percent relative to a year earlier. China grew at 2.2 percent in IIIQ2013, which annualizes at 9.1 percent and 7.8 percent relative to a year earlier. China grew at 1.8 percent in IVQ2013, which annualized to 7.4 percent and 7.7 percent relative to a year earlier. There is decennial change in leadership in China (http://www.xinhuanet.com/english/special/18cpcnc/index.htm). Growth rates of GDP of China in a quarter relative to the same quarter a year earlier have been declining from 2011 to 2013.
- Euro Area. GDP fell 0.1 percent in the euro area in IQ2012 and decreased 0.2 in IQ2012 relative to a year earlier. Euro area GDP contracted 0.3 percent IIQ2012 and fell 0.5 percent relative to a year earlier. In IIIQ2012, euro area GDP fell 0.2 percent and declined 0.7 percent relative to a year earlier. In IVQ2012, euro area GDP fell 0.5 percent relative to the prior quarter and fell 1.0 percent relative to a year earlier. In IQ2013, the GDP of the euro area fell 0.2 percent and decreased 1.2 percent relative to a year earlier. The GDP of the euro area increased 0.3 percent in IIQ2013 and fell 0.6 percent relative to a year earlier. In IIIQ2013, euro area GDP increased 0.1 percent and fell 0.3 percent relative to a year earlier. The GDP of the euro area increased 0.3 percent in IVQ2013 and increased 0.5 percent relative to a year earlier.
- Germany. The GDP of Germany increased 0.7 percent in IQ2012 and 1.8 percent relative to a year earlier. In IIQ2012, Germany’s GDP decreased 0.1 percent and increased 0.6 percent relative to a year earlier but 1.1 percent relative to a year earlier when adjusted for calendar (CA) effects. In IIIQ2012, Germany’s GDP increased 0.2 percent and 0.4 percent relative to a year earlier. Germany’s GDP contracted 0.5 percent in IVQ2012 and increased 0.0 percent relative to a year earlier. In IQ2013, Germany’s GDP increased 0.0 percent and fell 1.6 percent relative to a year earlier. In IIQ2013, Germany’s GDP increased 0.7 percent and 0.9 percent relative to a year earlier. The GDP of Germany increased 0.3 percent in IIIQ2013 and 1.1 percent relative to a year earlier. In IVQ2013, Germany’s GDP increased 0.4 percent and 1.3 percent relative to a year earlier.
- United States. Growth of US GDP in IQ2012 was 0.9 percent, at SAAR of 3.7 percent and higher by 3.3 percent relative to IQ2011. US GDP increased 0.3 percent in IIQ2012, 1.2 percent at SAAR and 2.8 percent relative to a year earlier. In IIIQ2012, US GDP grew 0.7 percent, 2.8 percent at SAAR and 3.1 percent relative to IIIQ2011. In IVQ2012, US GDP grew 0.0 percent, 0.1 percent at SAAR and 2.0 percent relative to IVQ2011. In IQ2013, US GDP grew at 1.1 percent SAAR, 0.3 percent relative to the prior quarter and 1.3 percent relative to the same quarter in 2013. In IIQ2013, US GDP grew at 2.5 percent in SAAR, 0.6 percent relative to the prior quarter and 1.6 percent relative to IIQ2012. US GDP grew at 4.1 percent in SAAR in IIIQ2013, 1.0 percent relative to the prior quarter and 2.0 percent relative to the same quarter a year earlier (http://cmpassocregulationblog.blogspot.com/2014/02/mediocre-cyclical-united-states.html and earlier http://cmpassocregulationblog.blogspot.com/2013/12/tapering-quantitative-easing-mediocre.html) with weak hiring (http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.htmland earlier http://cmpassocregulationblog.blogspot.com/2014/01/capital-flows-exchange-rates-and.html). In IVQ2013, US GDP grew 0.8 percent at 3.2 percent SAAR and 2.7 percent relative to a year earlier.
- United Kingdom. In IQ2012, UK GDP changed 0.0 percent, increasing 0.6 percent relative to a year earlier. UK GDP fell 0.4 percent in IIQ2012 and changed 0.0 percent relative to a year earlier. UK GDP increased 0.8 percent in IIIQ2012 and increased 0.2 percent relative to a year earlier. UK GDP fell 0.1 percent in IVQ2012 relative to IIIQ2012 and increased 0.2 percent relative to a year earlier. UK GDP increased 0.5 percent in IQ2013 and 0.7 percent relative to a year earlier. UK GDP increased 0.8 percent in IIQ2013 and 2.0 percent relative to a year earlier. In IIIQ2013, UK GDP increased 0.8 percent and 1.9 percent relative to a year earlier. UK GDP increased 0.7 percent in IVQ2013 and 2.8 percent relative to a year earlier.
- Italy. Italy has experienced decline of GDP in nine consecutive quarters from IIIQ2011 to IIIQ2013. Italy’s GDP fell 1.1 percent in IQ2012 and declined 1.7 percent relative to IQ2011. Italy’s GDP fell 0.6 percent in IIQ2012 and declined 2.6 percent relative to a year earlier. In IIIQ2012, Italy’s GDP fell 0.4 percent and declined 2.8 percent relative to a year earlier. The GDP of Italy contracted 0.9 percent in IVQ2012 and fell 3.0 percent relative to a year earlier. In IQ2013, Italy’s GDP contracted 0.6 percent and fell 2.6 percent relative to a year earlier. Italy’s GDP fell 0.3 percent in IIQ2013 and 2.3 percent relative to a year earlier. The GDP of Italy changed 0.0 percent in IIIQ2013 and declined 1.9 percent relative to a year earlier. Italy’s GDP increased 0.1 percent in IVQ2013 and decreased 0.8 percent relative to a year earlier.
- France. France’s GDP changed 0.0 percent in IQ2012 and increased 0.4 percent relative to a year earlier. France’s GDP decreased 0.3 percent in IIQ2012 and increased 0.1 percent relative to a year earlier. In IIIQ2012, France’s GDP increased 0.2 percent and changed 0.0 percent relative to a year earlier. France’s GDP fell 0.2 percent in IVQ2012 and declined 0.3 percent relative to a year earlier. In IQ2013, France GDP changed 0.0 percent and declined 0.4 percent relative to a year earlier. The GDP of France increased 0.6 percent in IIQ2013 and 0.5 percent relative to a year earlier. France’s GDP changed 0.0 percent in IIIQ2013 and increased 0.3 percent relative to a year earlier. The GDP of France increased 0.3 percent in IVQ2013 and 0.8 percent relative to a year earlier.
Table V-3, Percentage Changes of GDP Quarter on Prior Quarter and on Same Quarter Year Earlier, ∆%
IQ2012/IVQ2011 | IQ2012/IQ2011 | |
United States | QOQ: 0.9 SAAR: 3.7 | 3.3 |
Japan | QOQ: 0.9 SAAR: 3.7 | 3.2 |
China | 1.4 | 8.1 |
Euro Area | -0.1 | -0.2 |
Germany | 0.7 | 1.8 |
France | 0.0 | 0.4 |
Italy | -1.1 | -1.7 |
United Kingdom | 0.0 | 0.6 |
IIQ2012/IQ2012 | IIQ2012/IIQ2011 | |
United States | QOQ: 0.3 SAAR: 1.2 | 2.8 |
Japan | QOQ: -0.4 | 3.2 |
China | 2.1 | 7.6 |
Euro Area | -0.3 | -0.5 |
Germany | -0.1 | 0.6 1.1 CA |
France | -0.3 | 0.1 |
Italy | -0.6 | -2.6 |
United Kingdom | -0.4 | 0.0 |
IIIQ2012/ IIQ2012 | IIIQ2012/ IIIQ2011 | |
United States | QOQ: 0.7 | 3.1 |
Japan | QOQ: –0.8 | -0.2 |
China | 2.0 | 7.4 |
Euro Area | -0.2 | -0.7 |
Germany | 0.2 | 0.4 |
France | 0.2 | 0.0 |
Italy | -0.4 | -2.8 |
United Kingdom | 0.8 | 0.2 |
IVQ2012/IIIQ2012 | IVQ2012/IVQ2011 | |
United States | QOQ: 0.0 | 2.0 |
Japan | QOQ: -0.1 SAAR: -0.2 | -0.3 |
China | 1.9 | 7.9 |
Euro Area | -0.5 | -1.0 |
Germany | -0.5 | 0.0 |
France | -0.2 | -0.3 |
Italy | -0.9 | -3.0 |
United Kingdom | -0.1 | 0.2 |
IQ2013/IVQ2012 | IQ2013/IQ2012 | |
United States | QOQ: 0.3 | 1.3 |
Japan | QOQ: 1.2 SAAR: 4.8 | 0.0 |
China | 1.5 | 7.7 |
Euro Area | -0.2 | -1.2 |
Germany | 0.0 | -1.6 |
France | 0.0 | -0.4 |
Italy | -0.6 | -2.6 |
UK | 0.5 | 0.7 |
IIQ2013/IQ2013 | IIQ2013/IIQ2012 | |
United States | QOQ: 0.6 SAAR: 2.5 | 1.6 |
Japan | QOQ: 1.0 SAAR: 3.9 | 1.2 |
China | 1.8 | 7.5 |
Euro Area | 0.3 | -0.6 |
Germany | 0.7 | 0.9 |
France | 0.6 | 0.5 |
Italy | -0.3 | -2.3 |
UK | 0.8 | 2.0 |
IIIQ2013/IIQ2013 | III/Q2013/ IIIQ2012 | |
USA | QOQ: 1.0 | 2.0 |
Japan | QOQ: 0.3 SAAR: 1.1 | 2.3 |
China | 2.2 | 7.8 |
Euro Area | 0.1 | -0.3 |
Germany | 0.3 | 1.1 |
France | 0.0 | 0.3 |
Italy | 0.0 | -1.9 |
UK | 0.8 | 1.9 |
IVQ2013/IIIQ2013 | IVQ2013/IVQ2012 | |
USA | QOQ: 0.8 SAAR: 3.2 | 2.7 |
Japan | QOQ: 0.3 SAAR: 1.0 | 2.7 |
China | 1.8 | 7.7 |
Euro Area | 0.3 | 0.5 |
Germany | 0.4 | 1.3 |
France | 0.3 | 0.8 |
Italy | 0.1 | -0.8 |
UK | 0.7 | 2.8 |
QOQ: Quarter relative to prior quarter; SAAR: seasonally adjusted annual rate
Source: Country Statistical Agencies http://www.census.gov/aboutus/stat_int.html
Table V-4 provides two types of data: growth of exports and imports in the latest available months and in the past 12 months; and contributions of net trade (exports less imports) to growth of real GDP.
- Japan. Japan provides the most worrisome data (Section VB and earlier http://cmpassocregulationblog.blogspot.com/2014/02/mediocre-cyclical-united-states.html and earlier http://cmpassocregulationblog.blogspot.com/2013/12/tapering-quantitative-easing-mediocre.html and earlier http://cmpassocregulationblog.blogspot.com/2013/11/risks-of-zero-interest-rates-world.html http://cmpassocregulationblog.blogspot.com/2013/11/global-financial-risk-world-inflation.html http://cmpassocregulationblog.blogspot.com/2013/09/duration-dumping-and-peaking-valuations_8763.html http://cmpass ocregulationblog.blogspot.com/2013/08/interest-rate-risks-duration-dumping.html and earlier http://cmpassocregulationblog.blogspot.com/2013/07/duration-dumping-steepening-yield-curve.html and earlier http://cmpassocregulationblog.blogspot.com/2013/06/paring-quantitative-easing-policy-and_4699.html and earlier at http://cmpassocregulationblog.blogspot.com/2013/05/united-states-commercial-banks-assets.html and earlier http://cmpassocregulationblog.blogspot.com/2013/04/world-inflation-waves-squeeze-of.html and earlier http://cmpassocregulationblog.blogspot.com/2013/03/united-states-commercial-banks-assets.html and earlier at http://cmpassocregulationblog.blogspot.com/2013/02/world-inflation-waves-united-states.html and earlier at http://cmpassocregulationblog.blogspot.com/2013/02/thirty-one-million-unemployed-or.html and earlier http://cmpassocregulationblog.blogspot.com/2012/12/mediocre-and-decelerating-united-states_24.html and earlier http://cmpassocregulationblog.blogspot.com/2012/11/contraction-of-united-states-real_25.html and for GDP http://cmpassocregulationblog.blogspot.com/2013/09/recovery-without-hiring-ten-million.html and earlier http://cmpassocregulationblog.blogspot.com/2013/08/duration-dumping-and-peaking-valuations.html and earlier http://cmpassocreulationblog.blogspot.com/2013/02/recovery-without-hiring-united-states.html). In Jan 2014, Japan’s exports grew 9.5 percent in 12 months while imports increased 25.0 percent. The second part of Table V-4 shows that net trade deducted 1.3 percentage points from Japan’s growth of GDP in IIQ2012, deducted 2.2 percentage points from GDP growth in IIIQ2012 and deducted 0.5 percentage points from GDP growth in IVQ2012. Net trade added 0.4 percentage points to GDP growth in IQ2012, 1.7 percentage points in IQ2013 and 0.5 percentage points in IIQ2013. In IIIQ2013, net trade deducted 2.0 percentage points from GDP growth in Japan. Net trade ducted 2.2 percentage points from GDP growth in Japan in IVQ2013.
- China. In Jan 2014, China exports increased 10.6 percent relative to a year earlier and imports increased 10.0 percent.
- Germany. Germany’s exports decreased 0.9 percent in the month of Dec 2013 and increased 4.6 percent in the 12 months ending in Dec 2013. Germany’s imports decreased 0.6 percent in the month of Dec and increased 2.0 percent in the 12 months ending in Dec. Net trade contributed 0.8 percentage points to growth of GDP in IQ2012, contributed 0.4 percentage points in IIQ2012, contributed 0.3 percentage points in IIIQ2012, deducted 0.5 percentage points in IVQ2012, deducted 0.2 percentage points in IQ2013 and added 0.3 percentage points in IIQ2013. Net traded deducted 0.4 percentage points from Germany’s GDP growth in IIIQ2013.
- United Kingdom. Net trade deducted 0.8 percentage points from UK value added in IQ2012, deducted 0.8 percentage points in IIQ2012, added 0.7 percentage points in IIIQ2012 and subtracted 0.5 percentage points in IVQ2012. In IQ2013, net trade added 0.5 percentage points to UK’s growth of value added and contributed 0.2 percentage points in IIQ2013. In IIIQ2013, net trade deducted 1.2 percentage points from UK GDP growth.
- France. France’s exports increased 3.5 percent in Dec 2013 while imports increased 1.9 percent. Net traded added 0.1 percentage points to France’s GDP in IIIQ2012 and 0.1 percentage points in IVQ2012. Net trade deducted 0.1 percentage points from France’s GDP growth in IQ2013 and added 0.2 percentage points in IIQ2013, deducting 0.7 percentage points in IIIQ2013. Net trade added 0.2 percentage points to France’s GDP in IVQ2013.
- United States. US exports decreased 1.8 percent in Dec 2013 and goods exports increased 2.1 percent in Jan-Dec 2013 relative to a year earlier but net trade deducted 0.03 percentage points from GDP growth in IIIQ2012 and added 0.68 percentage points in IVQ2012. Net trade deducted 0.28 percentage points from US GDP growth in IQ2013 and deducted 0.07 percentage points in IIQ2013. Net traded added 0.14 percentage points to US GDP growth in IIIQ2013. Net trade added 1.33 percentage points to US GDP growth in IVQ2013. Industrial production decreased 0.3 percent in Jan 2014 after increasing 0.3 percent in Dec 2013 and increasing 0.7 percent in Nov 2013, with all data seasonally adjusted. The report of the Board of Governors of the Federal Reserve System states (http://www.federalreserve.gov/releases/g17/Current/default.htm):
“Industrial production decreased 0.3 percent in January after having risen 0.3 percent in December. In January, manufacturing output fell 0.8 percent, partly because of the severe weather that curtailed production in some regions of the country. Additionally, manufacturing production is now reported to have been lower in the fourth quarter; the index is now estimated to have advanced at an annual rate of 4.6 percent in the fourth quarter rather than 6.2 percent. The output of utilities rose 4.1 percent in January, as demand for heating was boosted by unseasonably cold temperatures. The production at mines declined 0.9 percent following a gain of 1.8 percent in December. At 101.0 percent of its 2007 average, total industrial production in January was 2.9 percent above its level of a year earlier. The capacity utilization rate for total industry decreased in January to 78.5 percent, a rate that is 1.6 percentage points below its long-run (1972–2013) average.”
In the six months ending in Jan 2014, United States national industrial production accumulated increase of 2.1 percent at the annual equivalent rate of 4.3 percent, which is higher than growth of 2.9 percent in the 12 months ending in Jan 2014. Excluding growth of -0.3 percent in Jan 2014, growth in the remaining five months from Aug to Dec 2013 accumulated to 2.4 percent or 5.9 percent annual equivalent. Industrial production fell in one of the past six months. Business equipment accumulated growth of 0.6 percent in the six months from Aug 2013 to Jan 2014 at the annual equivalent rate of 1.2 percent, which is lower than growth of 2.4 percent in the 12 months ending in Jan 2014. The Fed analyzes capacity utilization of total industry in its report (http://www.federalreserve.gov/releases/g17/Current/default.htm): “The capacity utilization rate for total industry decreased in January to 78.5 percent, a rate that is 1.6 percentage points below its long-run (1972–2013) average.” United States industry apparently decelerated to a lower growth rate with possible acceleration in the past few months.
Manufacturing decreased 0.8 percent in Jan 2014 after increasing 0.3 percent in Dec 2013 and increasing 0.3 percent in Nov 2013 seasonally adjusted, increasing 1.3 percent not seasonally adjusted in 12 months ending in Jan 2014. Manufacturing grew cumulatively 1.2 percent in the six months ending in Jan 2014 or at the annual equivalent rate of 2.4 percent. Excluding the decrease of 0.3 percent in Jan 2014, manufacturing accumulated growth of 2.0 percent from Aug 2013 to Dec 2013 or at the annual equivalent rate of 4.9 percent. There has been evident deceleration of manufacturing growth in the US from 2010 and the first three months of 2011 into more recent months as shown by 12 months rates of growth. Growth rates appeared to be increasing again closer to 5 percent in Apr-Jun 2012 but deteriorated. The rates of decline of manufacturing in 2009 are quite high with a drop of 18.2 percent in the 12 months ending in Apr 2009. Manufacturing recovered from this decline and led the recovery from the recession. Rates of growth appeared to be returning to the levels at 3 percent or higher in the annual rates before the recession but the pace of manufacturing fell steadily in the past six months with some strength at the margin. Manufacturing increased 21.9 from the peak in Jun 2007 to the trough in Apr 2009 and increased by 19.1 percent from the trough in Apr 2009 to Dec 2013. Manufacturing grew 17.2 percent from the trough in Apr 2009 to Jan 2014. Manufacturing output in Jan 2013 is 8.5 percent below the peak in Jun 2007.
Table V-4, Growth of Trade and Contributions of Net Trade to GDP Growth, ∆% and % Points
Exports | Exports 12 M ∆% | Imports | Imports 12 M ∆% | |
USA | -1.8 Dec | 2.1 Jan-Dec | 0.3 Dec | -0.3 Jan-Dec |
Japan | Jan 2014 9.5 Dec 2013 15.3 Nov 2013 18.4 Oct 2013 18.6 Sep 2013 11.5 Aug 2013 14.7 Jul 2013 12.2 Jun 2013 7.4 May 2013 10.1 Apr 2013 3.8 Mar 2013 1.1 Feb 2013 -2.9 Jan 2013 6.4 Dec -5.8 Nov -4.1 Oct -6.5 Sep -10.3 Aug -5.8 Jul -8.1 | Jan 2014 25.0 Dec 2013 24.7 Nov 2013 21.1 Oct 2013 26.1 Sep 2013 16.5 Aug 2013 16.0 Jul 2013 19.6 Jun 2013 11.8 May 2013 10.0 Apr 2013 9.4 Mar 2013 5.5 Feb 2013 7.3 Jan 2013 7.3 Dec 1.9 Nov 0.8 Oct -1.6 Sep 4.1 Aug -5.4 Jul 2.1 | ||
China | 2014 10.6 Jan 2013 4.3 Dec 12.7 Nov 5.6 Oct -0.3 Sep 7.2 Aug 5.1 Jul -3.1 Jun 1.0 May 14.7 Apr 10.0 Mar 21.8 Feb 25.0 Jan | 2014 10.0 Jan 2013 8.3 Dec 5.3 Nov 7.6 Oct 7.4 Sep 7.0 Aug 10.9 Jul -0.7 Jun -0.3 May 16.8 Apr 14.1 Mar -15.2 Feb 28.8 Jan | ||
Euro Area | 3.8 12-M Dec | 0.8 Jan-Dec | 1.0 12-M Dec | -3.3 Jan-Dec |
Germany | -0.9 Dec CSA | 4.6 Dec | -0.6 Nov CSA | 2.0 Dec |
France Dec | 3.5 | -0.5 | 1.9 | -1.3 |
Italy Dec | 5.1 | 4.9 | 3.6 | 0.6 |
UK | 2.1 Dec | -0.1 Oct-Dec 13 /Dec-Oct 12 | -3.8 Dec | -0.4 Oct-Dec 13/Oct-Dec 12 |
Net Trade % Points GDP Growth | % Points | |||
USA | IVQ2013 1.33 IIIQ2013 0.14 IIQ2013 -0.07 IQ2013 -0.28 IVQ2012 +0.68 IIIQ2012 -0.03 IIQ2012 +0.10 IQ2012 +0.44 | |||
Japan | 0.4 IQ2012 -1.3 IIQ2012 -2.2 IIIQ2012 -0.5 IVQ2012 1.7 IQ2013 0.5 IIQ2013 -2.0 IIIQ2013 -2.2 IVQ2013 | |||
Germany | IQ2012 0.8 IIQ2012 0.4 IIIQ2012 0.3 IVQ2012 -0.5 IQ2013 -0.2 IIQ2013 0.3 IIIQ2013 -0.4 | |||
France | 0.1 IIIQ2012 0.1 IVQ2012 -0.1 IQ2013 0.2 IIQ2013 -0.7 IIIQ2013 0.2 IVQ2013 | |||
UK | -0.8 IQ2012 -0.8 IIQ2012 +0.7 IIIQ2012 -0.5 IVQ2012 0.5 IQ2013 0.2 IIQ2013 -1.2 IIIQ2013 |
Sources: Country Statistical Agencies http://www.census.gov/foreign-trade/ http://www.bea.gov/iTable/index_nipa.cfm
The geographical breakdown of exports and imports of Japan with selected regions and countries is provided in Table V-5 for Jan 2014. The share of Asia in Japan’s trade is more than one-half for 51.5 percent of exports and 45.6 percent of imports. Within Asia, exports to China are 16.4 percent of total exports and imports from China 23.7 percent of total imports. While exports to China increased 13.1 percent in the 12 months ending in Jan 2014, imports from China increased 27.2 percent. The largest export market for Japan in Jan 2014 is the US with share of 15.5 percent of total exports, which is close to that of China, and share of imports from the US of 8.2 percent in total imports. Japan’s exports to the US grew 21.9 percent in the 12 months ending in Jan 2014 and imports from the US grew 25.9 percent. Western Europe has share of 11.8 percent in Japan’s exports and of 9.5 percent in imports. Rates of growth of exports of Japan in Jan 2014 are relatively high for several countries and regions with growth of 21.9 percent for exports to the US, 6.6 percent for exports to Brazil and 31.0 percent for exports to Germany. Comparisons relative to 2011 may have some bias because of the effects of the Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011. Deceleration of growth in China and the US and threat of recession in Europe can reduce world trade and economic activity. Growth rates of imports in the 12 months ending in Jan 2014 are positive for all trading partners. Imports from Asia increased 27.2 percent in the 12 months ending in Jan 2014 while imports from China increased 34.4 percent. Data are in millions of yen, which may have effects of recent depreciation of the yen relative to the United States dollar (USD).
Table V-5, Japan, Value and 12-Month Percentage Changes of Exports and Imports by Regions and Countries, ∆% and Millions of Yen
Jan 2014 | Exports | 12 months ∆% | Imports Millions Yen | 12 months ∆% |
Total | 5,252,882 | 9.5 | 8,042,855 | 25.0 |
Asia | 2,702,690 | 5.8 | 3,669,120 | 27.2 |
China | 862,565 | 13.1 | 1,907,358 | 34.4 |
USA | 1,023,579 | 21.9 | 656,382 | 25.9 |
Canada | 64,763 | 3.7 | 88,666 | 0.0 |
Brazil | 38,084 | 6.6 | 100,655 | 8.2 |
Mexico | 72,503 | 14.5 | 35,975 | 9.8 |
Western Europe | 620,992 | 18.5 | 766,988 | 24.3 |
Germany | 159,764 | 31.0 | 228,694 | 36.3 |
France | 48,803 | 27.8 | 98,920 | 11.4 |
UK | 87,871 | -8.3 | 53,700 | 5.3 |
Middle East | 204,313 | 24.9 | 1,657,065 | 31.6 |
Australia | 110,155 | 15.2 | 476,640 | 21.9 |
Source: Japan, Ministry of Finance http://www.customs.go.jp/toukei/info/index_e.htm
World trade projections of the IMF are in Table V-6. There is increasing growth of the volume of world trade of goods and services from 2.9 percent in 2013 to 5.4 percent in 2015 and 5.1 percent on average from 2013 to 2018. World trade would be slower for advanced economies while emerging and developing economies (EMDE) experience faster growth. World economic slowdown would more challenging with lower growth of world trade.
Table V-6, IMF, Projections of World Trade, USD Billions, USD/Barrel and ∆%
2013 | 2014 | 2015 | Average ∆% 2013-2018 | |
World Trade Volume (Goods and Services) | 2.9 | 4.9 | 5.4 | 5.1 |
Exports Goods & Services | 3.0 | 5.1 | 5.4 | 5.1 |
Imports Goods & Services | 2.8 | 4.7 | 5.4 | 5.0 |
Oil Price USD/Barrel | 104.49 | 101.35 | NA | NA |
Value of World Exports Goods & Services $B | 23,164 | 24,367 | NA | NA |
Value of World Exports Goods $B | 18,709 | 19,632 | NA | NA |
Exports Goods & Services | ||||
EMDE | 3.5 | 5.8 | 6.3 | 5.9 |
G7 | 2.3 | 4.6 | 4.4 | 4.4 |
Imports Goods & Services | ||||
EMDE | 5.0 | 5.9 | 6.7 | 6.2 |
G7 | 1.3 | 3.9 | 4.2 | 4.0 |
Terms of Trade of Goods & Services | ||||
EMDE | -0.5 | -0.4 | -0.6 | -0.5 |
G7 | 0.1 | -0.1 | 0.1 | 0.1 |
Terms of Trade of Goods | ||||
EMDE | -0.6 | -0.9 | -0.9 | -0.8 |
G7 | -0.5 | 0.2 | 0.2 | -0.007 |
Notes: Commodity Price Index includes Fuel and Non-fuel Prices; Commodity Industrial Inputs Price includes agricultural raw materials and metal prices; Oil price is average of WTI, Brent and Dubai
Source: International Monetary Fund World Economic Outlook databank
http://www.imf.org/external/pubs/ft/weo/2013/02/weodata/index.aspx
The JP Morgan Global All-Industry Output Index of the JP Morgan Manufacturing and Services PMI™, produced by JP Morgan and Markit in association with ISM and IFPSM, with high association with world GDP, increased to 53.9 in Jan from 53.8 in Dec, indicating expansion at almost unchanged rate (http://www.markiteconomics.com/Survey/PressRelease.mvc/2dbfcfb799994f3fb94f1a224708ae76). This index has remained above the contraction territory of 50.0 during 54 consecutive months. The employment index decreased from 52.2 in Dec to 51.9 in Jn with input prices rising at a faster rate, new orders increasing at slower rate and output increasing at faster rate (http://www.markiteconomics.com/Survey/PressRelease.mvc/2dbfcfb799994f3fb94f1a224708ae76). David Hensley, Director of Global Economics Coordination at JP Morgan finds expectations of continuing growth in 2014 with world GDP expanding quarter-on-quarter at a rate above 3.0 percent in annual equivalent (http://www.markiteconomics.com/Survey/PressRelease.mvc/2dbfcfb799994f3fb94f1a224708ae76). The JP Morgan Global Manufacturing PMI™, produced by JP Morgan and Markit in association with ISM and IFPSM, was almost unchanged at 52.9 in Jan from 53.0 in Dec (http://www.markiteconomics.com/Survey/PressRelease.mvc/2abe878b5055447b89a369e17c8f4b8b). New export orders expanded at the lowest rate since Sep 2013 (http://www.markiteconomics.com/Survey/PressRelease.mvc/2abe878b5055447b89a369e17c8f4b8b). David Hensley, Director of Global Economic Coordination at JP Morgan finds continuing growth of output and new orders at rates above average in the expansion period (http://www.markiteconomics.com/Survey/PressRelease.mvc/2abe878b5055447b89a369e17c8f4b8b). The HSBC Brazil Composite Output Index, compiled by Markit, decreased from 51.7 in Dec to 49.9 in Jan, indicating unchanged activity of Brazil’s private sector (http://www.markiteconomics.com/Survey/PressRelease.mvc/30abb6a91285494d98cf5a24e2cad184). The HSBC Brazil Services Business Activity index, compiled by Markit, decreased from 51.7 in Dec to 49.6 in Jan, indicating contraction of services activity (http://www.markiteconomics.com/Survey/PressRelease.mvc/30abb6a91285494d98cf5a24e2cad184). André Loes, Chief Economist, Brazil, at HSBC, finds slower services activity together with faster inflation of inputs and outputs (http://www.markiteconomics.com/Survey/PressRelease.mvc/30abb6a91285494d98cf5a24e2cad184). The HSBC Brazil Purchasing Managers’ IndexTM (PMI™) increased marginally from 50.5 in Dec to 50.8 in Jan, indicating marginal improvement in manufacturing (http://www.markiteconomics.com/Survey/PressRelease.mvc/5dd1bda2fcb741929f8b24b035b07cef). André Loes, Chief Economist, Brazil at HSBC, finds improvement with slower growth of production compensated by stronger growth of new orders (http://www.markiteconomics.com/Survey/PressRelease.mvc/5dd1bda2fcb741929f8b24b035b07cef).
VA United States. The Markit Flash US Manufacturing Purchasing Managers’ Index™ (PMI™) seasonally adjusted increased to 56.7 in Feb from 53.7 in Jan, which is the highest rate of improvement since May 2010 (http://www.markiteconomics.com/Survey/PressRelease.mvc/c7542a2e11a34e0eb2dc6d0da06fef6e). New export orders registered 50.9 in Feb, increasing from 48.4 in Jan, indicating marginal expansion. Chris Williamson, Chief Economist at Markit, finds that manufacturing hiring is growing with creation of about 15,000 jobs in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/c7542a2e11a34e0eb2dc6d0da06fef6e). The Markit Flash US Services PMI™ Business Activity Index increased from 55.7 in Dec to 56.6 in Jan (http://www.markiteconomics.com/Survey/PressRelease.mvc/979201249645452086dde674d0d375e0). Chris Williamson, Chief Economist at Markit, finds that the surveys are consistent with growth of jobs at monthly rate of 200,000 (http://www.markiteconomics.com/Survey/PressRelease.mvc/979201249645452086dde674d0d375e0). The Markit US Composite PMI™ Output Index of Manufacturing and Services increased marginally to 56.2 in Jan from 56.1 in Dec (http://www.markiteconomics.com/Survey/PressRelease.mvc/2c3bb316dbb44b348a768fcc4a9713cc). The Markit US Services PMI™ Business Activity Index increased marginally from 55.7 in Dec to 56.7 in Jan (http://www.markiteconomics.com/Survey/PressRelease.mvc/2c3bb316dbb44b348a768fcc4a9713cc). Chris Williamson, Chief Economist at Markit, finds monthly growth of jobs around 200,000 with 10,000 in manufacturing (http://www.markiteconomics.com/Survey/PressRelease.mvc/2c3bb316dbb44b348a768fcc4a9713cc). The Markit US Manufacturing Purchasing Managers’ Index™ (PMI™) decreased to 53.7 in Jan from 55.0 in Dec, which indicates expansion at slower rate (http://www.markiteconomics.com/Survey/PressRelease.mvc/5519007b6dce46c9929b534d255298fd). The index of new exports orders decreased from 51.4 in Dec to 48.4 in Jan while total new orders decreased from 56.1 in Dec to 53.9 in Jan. Chris Williamson, Chief Economist at Markit, finds that the index suggests slowest growth in three months with respondents mentioning weather but underlying strength with no effects on the economy from Fed tapering of quantitative easing (http://www.markiteconomics.com/Survey/PressRelease.mvc/5519007b6dce46c9929b534d255298fd). The purchasing managers’ index (PMI) of the Institute for Supply Management (ISM) Report on Business® decreased 5.2 percentage points from 56.5 in Dec to 51.3 in Jan, which indicates growth at a slower rate (http://www.ism.ws/ISMReport/MfgROB.cfm?navItemNumber=12942). The index of new orders increased 3.0 percentage points from 60.6 in Oct to 63.6 in Nov. The index of exports decreased 13.2 percentage point from 64.4 in Dec to 51.2 in Nov, growing at a slower rate. The Non-Manufacturing ISM Report on Business® PMI increased 1.0 percentage points from 53.0 in Dec to 54.0 in Jan, indicating growth of business activity/production during 54 consecutive months, while the index of new orders increased 0.5 percentage points from 50.4 in Dec to 50.9 in Jan (http://www.ism.ws/ISMReport/NonMfgROB.cfm?navItemNumber=12943). Table USA provides the country economic indicators for the US.
Table USA, US Economic Indicators
Consumer Price Index | Jan 12 months NSA ∆%: 1.6; ex food and energy ∆%: 1.6 Jan month SA ∆%: 0.1; ex food and energy ∆%: 0.1 |
Producer Price Index | Finished Goods Jan 12-month NSA ∆%: 1.5; ex food and energy ∆% 1.7 Final Demand Jan 12-month NSA ∆%: 1.2; ex food and energy ∆% 1.3 |
PCE Inflation | Dec 12-month NSA ∆%: headline 1.1; ex food and energy ∆% 1.2 |
Employment Situation | Household Survey: Dec Unemployment Rate SA 6.6% |
Nonfarm Hiring | Nonfarm Hiring fell from 63.8 million in 2006 to 52.0 million in 2012 or by 11.8 million |
GDP Growth | BEA Revised National Income Accounts IIQ2012/IIQ2011 2.8 IIIQ2012/IIIQ2011 3.1 IVQ2012/IVQ2011 2.0 IQ2013/IQ2012 1.3 IIQ2013/IIQ2012 1.6 IIIQ2013/IIIQ2012 2.0 IVQ2013/IVQ2012 2.7 IQ2012 SAAR 3.7 IIQ2012 SAAR 1.2 IIIQ2012 SAAR 2.8 IVQ2012 SAAR 0.1 IQ2013 SAAR 1.1 IIQ2013 SAAR 2.5 IIIQ2013 SAAR 4.1 IVQ2013 SAAR 3.2 |
Real Private Fixed Investment | SAAR IIIQ2013 0.9 ∆% IVQ2007 to IIIQ2013: minus 3.4% Blog 2/2/14 |
Personal Income and Consumption | Dec month ∆% SA Real Disposable Personal Income (RDPI) SA ∆% minus 0.2 |
Quarterly Services Report | IIIQ13/IIQ12 NSA ∆%: Financial & Insurance 0.6 |
Employment Cost Index | Compensation Private IVQ2013 SA ∆%: 0.5 |
Industrial Production | Jan month SA ∆%: -0.3 Manufacturing Jan SA ∆% minus 0.8 Jan 12 months SA ∆% 1.3, NSA 1.3 |
Productivity and Costs | Nonfarm Business Productivity IVQ2013∆% SAAE 3.3; IVQ2013/IVQ2012 ∆% 1.7; Unit Labor Costs SAAE IVQ2013 ∆% -1.6; IVQ2013/IVQ2012 ∆%: -1.3 Blog 2/9/2014 |
New York Fed Manufacturing Index | General Business Conditions From Jan 12.51 to Feb 4.48 |
Philadelphia Fed Business Outlook Index | General Index from Jan 9.4 to Feb -6.3 |
Manufacturing Shipments and Orders | New Orders SA Dec ∆% -1.5 Ex Transport 0.2 Jan-Dec NSA New Orders ∆% 2.5 Ex transport 1.5 |
Durable Goods | Dec New Orders SA ∆%: minus 4.3; ex transport ∆%: minus 1.6 |
Sales of New Motor Vehicles | Jan 2014 1,012,582; Jan 2013 1,044,655. Jan 14 SAAR 15.24 million, Dec 13 SAAR 15.40 million, Jan 2013 SAAR 15.23 million Blog 2/9/14 |
Sales of Merchant Wholesalers | Jan-Dec 2013/Jan-Dec 2012 NSA ∆%: Total 4.2; Durable Goods: 4.4; Nondurable |
Sales and Inventories of Manufacturers, Retailers and Merchant Wholesalers | Dec 13 12-M NSA ∆%: Sales Total Business 5.2; Manufacturers 2.9 |
Sales for Retail and Food Services | Jan 2014/Jan 2012 ∆%: Retail and Food Services 3.0; Retail ∆% 3.0 |
Value of Construction Put in Place | Dec SAAR month SA ∆%: 0.1 Dec 12-month NSA: 3.1 Jan-Dec 2013 ∆% 4.8 |
Case-Shiller Home Prices | Nov 2013/Nov 2012 ∆% NSA: 10 Cities 13.8; 20 Cities: 13.7 |
FHFA House Price Index Purchases Only | Nov SA ∆% 0.1; |
New House Sales | Dec 2013 month SAAR ∆%: minus 7.0 |
Housing Starts and Permits | Jan Starts month SA ∆% minus16.0; Permits ∆%: minus 5.4 |
Trade Balance | Balance Nov SA -$24,252 million versus Oct -$39,328 million |
Export and Import Prices | Jan 12-month NSA ∆%: Imports -1.5; Exports -1.2 |
Consumer Credit | Dec ∆% annual rate: Total 7.3; Revolving 7.0; Nonrevolving 7.4 |
Net Foreign Purchases of Long-term Treasury Securities | Dec Net Foreign Purchases of Long-term US Securities: -$45.9 billion |
Treasury Budget | Fiscal Year 2014/2013 ∆% Jan: Receipts 8.2; Outlays minus 2.8; Individual Income Taxes 1.6 Deficit Fiscal Year 2012 $1,087 billion Deficit Fiscal Year 2013 $680 billion Blog 2/16/2014 |
CBO Budget and Economic Outlook | 2012 Deficit $1087 B 6.8% GDP Debt 11,281 B 70.1% GDP 2013 Deficit $680 B, 4.1% GDP Debt 11,982 B 72.1% GDP Blog 8/26/12 11/18/12 2/10/13 9/22/13 2/16/14 |
Commercial Banks Assets and Liabilities | Dec 2013 SAAR ∆%: Securities 11.7 Loans 3.7 Cash Assets -9.0 Deposits 9.4 Blog 1/26/14 |
Flow of Funds | IIIQ2013 ∆ since 2007 Assets +$8554.2 MM Nonfinancial -$1228.7 MM Real estate -$1838.9 MM Financial +9782.9 MM Net Worth +$9269.0 MM Blog 12/29/13 |
Current Account Balance of Payments | IIIQ2013 -110,055 MM %GDP 2.2 Blog 12/22/13 |
Links to blog comments in Table USA:
2/16/14 http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.html
2/9/14 http://cmpassocregulationblog.blogspot.com/2014/02/financial-instability-rules.html
2/2/14 http://cmpassocregulationblog.blogspot.com/2014/02/mediocre-cyclical-united-states.html
1/26/14 http://cmpassocregulationblog.blogspot.com/2014/01/capital-flows-exchange-rates-and.html
1/19/14 http://cmpassocregulationblog.blogspot.com/2014/01/world-inflation-waves-interest-rate.html
1/12/14 http://cmpassocregulationblog.blogspot.com/2014/01/twenty-nine-million-unemployed-or.html
12/29/13 http://cmpassocregulationblog.blogspot.com/2013/12/collapse-of-united-states-dynamism-of.html
12/22/13 http://cmpassocregulationblog.blogspot.com/2013/12/tapering-quantitative-easing-mediocre.html
12/15/13 http://cmpassocregulationblog.blogspot.com/2013/12/theory-and-reality-of-secular.html
9/22/13 http://cmpassocregulationblog.blogspot.com/2013/09/duration-dumping-and-peaking-valuations.html
2/10/13 http://cmpassocregulationblog.blogspot.com/2013/02/united-states-unsustainable-fiscal.html
The Empire State Manufacturing Survey Index in Table I-1 provides continuing deterioration that started in Jun 2012 well before Hurricane Sandy in Oct 2012. The current general index has been in negative contraction territory from minus 3.86 in Aug 2012 to minus 7.93 in Jan 2012 and 0.27 in May 2013. The current general index deteriorated to 4.48 in Feb 2014. The index of current orders has also been in negative contraction territory from minus 3.24 in Aug 2012 to minus 8.48 in Jan 2013 and minus 4.32 in Jun 2013. The index of current new orders decreased to minus 0.21 in Feb 2014. Number of workers and hours worked have registered negative or declining readings since Sep 2012 with improvement to 11.25 for number of workers in Feb 2014 and 3.75 for average workweek. There is improvement in the general index for the next six months at 38.99 in Feb 2015 and strengthening new orders at 45.31.
Table I-1, US, New York Federal Reserve Bank Empire State Manufacturing Survey Index SA
Current | General Index | New Orders | Shipment | # Workers | Average Work Week |
Sep-11 | -4.55 | -4.13 | -5.6 | -5.43 | -2.17 |
Oct-11 | -6.07 | 0.64 | 1.48 | 3.37 | -4.49 |
Nov-11 | 4.09 | 0.66 | 13.22 | -3.66 | 2.44 |
Dec-11 | 10.7 | 8.03 | 22.09 | 2.33 | -2.33 |
Jan-12 | 11.63 | 10.42 | 19.7 | 12.09 | 6.59 |
Feb-12 | 16.36 | 5.28 | 17.16 | 11.76 | 7.06 |
Mar-12 | 15.97 | 4.67 | 13.76 | 13.58 | 18.52 |
Apr-12 | 5.92 | 4.21 | 4.24 | 19.28 | 6.02 |
May-12 | 15.85 | 9.29 | 22.95 | 20.48 | 12.05 |
Jun-12 | 3.48 | 4.75 | 11.39 | 12.37 | 3.09 |
Jul-12 | 6.64 | -2.2 | 11 | 18.52 | 0 |
Aug-12 | -3.86 | -3.24 | 8.41 | 16.47 | 3.53 |
Sep-12 | -7.41 | -10.41 | 6.4 | 4.26 | -1.06 |
Oct-12 | -4.91 | -8.25 | -7.44 | -1.08 | -4.3 |
Nov-12 | -1.8 | 5.02 | 17.01 | -14.61 | -7.87 |
Dec-12 | -6.35 | -1.9 | 10.04 | -9.68 | -10.75 |
Jan-13 | -7.93 | -8.48 | -2.13 | -4.3 | -5.38 |
Feb-13 | 7.25 | 9.84 | 9.72 | 8.08 | -4.04 |
Mar-13 | 6.45 | 5.8 | 5.39 | 3.23 | 0 |
Apr-13 | 2.46 | 1.4 | 0.51 | 6.82 | 5.68 |
May-13 | 0.27 | -0.67 | -0.36 | 5.68 | -1.14 |
Jun-13 | 7.09 | -4.32 | -6.3 | 0 | -11.29 |
Jul-13 | 8.88 | 3.99 | 8.26 | 3.26 | -7.61 |
Aug-13 | 8.3 | 1.88 | 4 | 10.84 | 4.82 |
Sep-13 | 6.78 | 2.62 | 15.69 | 7.53 | 1.08 |
Oct-13 | 3.24 | 6.6 | 12.98 | 3.61 | 3.61 |
Nov-13 | 0.83 | -3.46 | 1.46 | 0 | -5.26 |
Dec-13 | 2.22 | -1.69 | 4.69 | 0 | -10.84 |
Jan-14 | 12.51 | 10.98 | 15.52 | 12.2 | 1.22 |
Feb-14 | 4.48 | -0.21 | 2.13 | 11.25 | 3.75 |
Future | General Index | New Orders | Shipments | # Workers | Average Workweek |
Sep-11 | 22.77 | 23.38 | 22.66 | 0.00 | -6.52 |
Oct-11 | 14.41 | 18.95 | 23.42 | 6.74 | -2.25 |
Nov-11 | 35.91 | 30.35 | 32.7 | 14.63 | 8.54 |
Dec-11 | 46.81 | 45.01 | 41.56 | 24.42 | 22.09 |
Jan-12 | 51.83 | 45.4 | 44.3 | 28.57 | 17.58 |
Feb-12 | 45.6 | 38.41 | 41.41 | 29.41 | 18.82 |
Mar-12 | 42.56 | 37.16 | 39.87 | 32.1 | 20.99 |
Apr-12 | 40.21 | 36.97 | 38.62 | 27.71 | 10.84 |
May-12 | 33.49 | 30.86 | 25.03 | 12.05 | 8.43 |
Jun-12 | 26.78 | 28.74 | 23.59 | 16.49 | 2.06 |
Jul-12 | 22.79 | 20.36 | 21.46 | 6.17 | -4.94 |
Aug-12 | 20.15 | 15.26 | 22.39 | 3.53 | -8.24 |
Sep-12 | 27.17 | 27.74 | 23.17 | 8.51 | 2.13 |
Oct-12 | 20.23 | 22.03 | 18.34 | 0 | -11.83 |
Nov-12 | 18.53 | 15.49 | 25.5 | -1.12 | 0 |
Dec-12 | 21.18 | 21.43 | 23.86 | 10.75 | 5.38 |
Jan-13 | 22.54 | 24.4 | 24.1 | 7.53 | 3.23 |
Feb-13 | 30.39 | 28.04 | 27.94 | 15.15 | 11.11 |
Mar-13 | 33.2 | 32.59 | 39.59 | 19.35 | 2.15 |
Apr-13 | 30.42 | 34.02 | 37 | 25 | 7.95 |
May-13 | 27.3 | 28.85 | 24.72 | 11.36 | 1.14 |
Jun-13 | 26.85 | 22.9 | 22.13 | 1.61 | -9.68 |
Jul-13 | 32.59 | 31.53 | 33.97 | 1.09 | -1.09 |
Aug-13 | 37 | 31.33 | 31.71 | 8.43 | -6.02 |
Sep-13 | 40.39 | 37.71 | 37.66 | 4.3 | -2.15 |
Oct-13 | 40.86 | 36.94 | 33.74 | 7.23 | 2.41 |
Nov-13 | 38.32 | 39.31 | 37.09 | 22.37 | -3.95 |
Dec-13 | 38.96 | 30.15 | 33.31 | 9.64 | 1.2 |
Jan-14 | 37.51 | 39.1 | 30.58 | 20.73 | 9.76 |
Feb-14 | 38.99 | 45.31 | 43.33 | 25 | 7.5 |
Source: Federal Reserve Bank of New York
http://www.newyorkfed.org/survey/empire/empiresurvey_overview.html
Chart VA-1 of the Federal Reserve Bank of New York provides indexes of current and expected economic activity. There were multiple contractions in current activity after the global recession shown in shade. Current activity is weakening.
Chart VA-1, US, US, Federal Reserve Bank of New York, Diffusion Index of Current and Expected Activity, Seasonally Adjusted
Source: Federal Reserve Bank of New York
http://www.newyorkfed.org/survey/empire/empiresurvey_overview.html
The Business Outlook Survey Diffusion Index of the Federal Reserve Bank of Philadelphia in Table VA-2 also shows improvement after prior deterioration followed by current deterioration. The general index moved out contraction at 1.7 in May 2013 to minus 6.3 in Feb 2014 together with contraction at minus 5.2 for new orders. Expectations for the next six months are brighter with the general index at 40.2 in Feb 2014 and the index of new orders at 35.4.
Table VA-2, FRB of Philadelphia Business Outlook Survey Diffusion Index
Current General Index | Current New Orders | Current Ship-ments | Future General Index | Future New Orders |
| ||
11-Jan | 15.3 | 19.1 | 10.9 | 42.9 | 35.1 | 36.8 | |
11-Feb | 27 | 15.8 | 22.3 | 41.1 | 37.4 | 42.4 | |
11-Mar | 34.7 | 32.4 | 27.5 | 54.7 | 52.8 | 52.6 | |
11-Apr | 13.7 | 13.2 | 20.9 | 30.5 | 28 | 34.5 | |
11-May | 5.5 | 7.6 | 8 | 24.8 | 24.1 | 27.4 | |
11-Jun | -0.6 | -1.7 | 7.6 | 8.3 | 10.3 | 9.7 | |
11-Jul | 8.2 | 5.2 | 9.4 | 29.7 | 33.4 | 29.3 | |
11-Aug | -17.1 | -17.5 | -2.4 | 14.6 | 28.9 | 25.9 | |
11-Sep | -11.9 | -4.7 | -8 | 23.2 | 22.8 | 24.9 | |
11-Oct | 7.7 | 7 | 10 | 27.6 | 29.6 | 30.5 | |
11-Nov | 6.6 | 4.3 | 7.9 | 39.1 | 37.5 | 34.8 | |
11-Dec | 3.8 | 5 | 6 | 35.5 | 39 | 32.2 | |
12-Jan | 4.9 | 8.8 | 3.8 | 42.6 | 42.3 | 41.6 | |
12-Feb | 6.4 | 5.7 | 6 | 28.7 | 30.1 | 25.7 | |
12-Mar | 6.2 | -2.3 | -1.4 | 26.8 | 33.2 | 27.9 | |
12-Apr | 6.3 | -0.3 | -3.3 | 31.8 | 37.2 | 31.2 | |
12-May | -2.1 | 0.6 | 6.4 | 22 | 32.8 | 28.3 | |
12-Jun | -12 | -13.3 | -10.9 | 25.5 | 36.6 | 38.1 | |
12-Jul | -10.7 | -1.3 | -7.2 | 23.8 | 28.2 | 22.6 | |
12-Aug | 1.1 | 1.7 | -2.3 | 23.6 | 29.6 | 21.9 | |
12-Sep | -0.9 | 2.1 | -10.7 | 38.2 | 47.2 | 39.5 | |
12-Oct | 1 | -3.5 | -5.6 | 19.4 | 22.2 | 21.9 | |
12-Nov | -6.9 | -3.2 | -4.4 | 21.2 | 25.1 | 26.1 | |
12-Dec | 4.4 | 3.6 | 13.9 | 25.3 | 29.8 | 28.9 | |
13-Jan | -5.6 | -4.5 | -0.2 | 26.2 | 30.1 | 33.3 | |
13-Feb | -11.9 | -7.7 | -1.4 | 29.2 | 35.6 | 29.3 | |
13-Mar | -1.4 | -1.9 | 1.4 | 30.1 | 32.7 | 30 | |
13-Apr | 1 | -0.8 | 4 | 19.9 | 27.1 | 28.2 | |
13-May | -1.7 | -6.6 | -3.9 | 35.1 | 37.9 | 35 | |
13-Jun | 14.4 | 17.3 | 8.2 | 37.2 | 43 | 40.4 | |
13-Jul | 18 | 11.3 | 14.5 | 45 | 56 | 49.1 | |
13-Aug | 13.1 | 8.9 | 3.9 | 44.1 | 44.8 | 46 | |
13-Sep | 20 | 20.8 | 21.9 | 57 | 57.2 | 54.4 | |
13-Oct | 15.6 | 23.8 | 17.3 | 58.3 | 63.4 | 52.6 | |
13-Nov | 9.2 | 14 | 7.8 | 48.1 | 49.3 | 43.5 | |
13-Dec | 6.4 | 12.9 | 11.9 | 44.8 | 45.7 | 42 | |
14-Jan | 9.4 | 5.1 | 12.1 | 34.4 | 38.4 | 33.2 | |
14-Feb | -6.3 | -5.2 | -9.9 | 40.2 | 35.4 | 36 |
Source: Federal Reserve Bank of New York
http://www.newyorkfed.org/survey/empire/empiresurvey_overview.html
Chart VA-2 of the Federal Reserve Bank of Philadelphia is very useful, providing current and future general activity indexes from Jan 1995 to Jan 2014. The shaded areas are the recession cycle dates of the National Bureau of Economic Research (NBER) (http://www.nber.org/cycles.html). The Philadelphia Fed index dropped during the initial period of recession and then led the recovery, as industry overall. There was a second decline of the index into 2011 followed now by what hopefully appeared as renewed strength from late 2011 into Jan 2012 with decline to negative territory of the current activity index in Nov 2012 and return to positive territory in Dec 2012 with decline of current conditions into contraction in Jan-Feb 2013 and rebound to mild expansion in Mar-Apr 2013. The index of current activity moved into expansion in Jun-Oct 2013 with weakness in Nov-Dec 2013, improving in Jan 2014. There is renewed deterioration in Feb 2014.
Chart VA-2, Federal Reserve Bank of Philadelphia Business Outlook Survey, Current and Future Activity Indexes
Source: Federal Reserve Bank of Philadelphia
http://www.philadelphiafed.org/index.cfm
The index of current new orders of the Business Outlook Survey of the Federal Reserve Bank of Philadelphia in Chart VA-3 illustrates the weakness of the cyclical expansion. The index weakened in 2006 and 2007 and then fell sharply into contraction during the global recession. There have been twelve readings into contraction from Jan 2012 to May 2013 and generally weak readings with some exceptions. The index of new orders moved into expansion in Jun-Oct 2013 with moderation in Nov-Dec 2013 and into Jan 2014. The index fell into contraction in Feb 2014.
Chart VA-3, Federal Reserve Bank of Philadelphia Current New Orders Diffusion Index
Source: Federal Reserve Bank of Philadelphia
http://www.philadelphiafed.org/index.cfm
Seasonally adjusted annual rates (SAAR) of housing starts and permits are shown in Table VA-3. Housing starts fell 16.0 percent in Jan 2014 after wide oscillations in 2013 that included increase of 22.5 percent in Nov, decline of 15.2 percent in Apr 2013 and 9.1 percent in Jun 2013. Housing starts increased 6.6 percent from the SAAR of 983 in Dec 2012 to the SAAR of 1048 in Dec 2013. Housing permits, indicating future activity, decreased 5.4 percent in Jan 2014 also after significant oscillations in 2013 with increase of 5.1 percent from 943 SSAR in Dec 2012 to SSAR of 991 in Dec 2013. While single unit houses starts decreased 16.0 percent in Jan 2014, seasonally adjusted, structures with five units or more decreased 12.8 percent. Multifamily residential construction is increasing at a faster rate than single-family construction with wide monthly oscillations. Monthly rates in starts and permits fluctuate significantly as shown in Table VA-3.
Table VA-3, US, Housing Starts and Permits SSAR Month ∆%
Housing | Month ∆% | Housing | Month ∆% | |
Jan 2014 | 880 | -16.0 | 937 | -5.4 |
Dec 2013 | 1048 | -4.8 | 991 | -2.6 |
Nov | 1101 | 22.5 | 1017 | -2.1 |
Oct | 899 | 3.0 | 1039 | 6.7 |
Sep | 873 | -1.1 | 974 | 5.2 |
Aug | 883 | -0.9 | 926 | -2.9 |
Jul | 891 | 6.7 | 954 | 3.9 |
Jun | 835 | -9.1 | 918 | -6.8 |
May | 919 | 7.9 | 985 | -2.0 |
Apr | 852 | -15.2 | 1005 | 12.9 |
Mar | 1005 | 3.7 | 890 | -6.5 |
Feb | 969 | 7.9 | 952 | 4.0 |
Jan | 898 | -8.6 | 915 | -3.0 |
Dec 2012 | 983 | 16.7 | 943 | 1.1 |
Nov | 842 | -2.5 | 933 | 2.8 |
Oct | 864 | 1.2 | 908 | -1.4 |
Sep | 854 | 14.0 | 921 | 11.4 |
Aug | 749 | 1.1 | 827 | -1.4 |
Jul | 741 | -2.1 | 839 | 6.9 |
Jun | 757 | 6.5 | 785 | -2.6 |
May | 711 | -5.7 | 806 | 7.6 |
Apr | 754 | 6.6 | 749 | -4.6 |
Mar | 707 | -0.8 | 785 | 6.2 |
Feb | 713 | -1.4 | 739 | 3.5 |
Jan | 723 | 4.2 | 714 | 2.4 |
Dec 2011 | 694 | -2.4 | 697 | -1.3 |
Nov | 711 | 16.6 | 706 | 5.2 |
Oct | 610 | -6.2 | 671 | 10.0 |
Sep | 650 | 11.1 | 610 | -5.7 |
Aug | 585 | -6.1 | 647 | 4.2 |
Jul | 623 | 2.5 | 621 | -2.4 |
Jun | 608 | 8.4 | 636 | 2.9 |
May | 561 | 1.3 | 618 | 6.4 |
Apr | 554 | -7.7 | 581 | -0.3 |
Mar | 600 | 16.1 | 583 | 7.6 |
Feb | 517 | -17.9 | 542 | -5.9 |
Jan | 630 | 16.9 | 576 | -8.9 |
Dec 2010 | 539 | -1.1 | 632 | 12.9 |
Nov | 545 | 0.4 | 560 | 0.4 |
Oct | 543 | -8.6 | 558 | -0.9 |
Sep | 594 | -0.8 | 563 | -2.9 |
SAAR: Seasonally Adjusted Annual Rate
Source: US Census Bureau http://www.census.gov/construction/nrc/
Housing starts and permits in Jan-Dec not-seasonally adjusted are in Table VA-4. Housing starts increased 18.7 percent in Jan-Dec 2013 relative to Jan-Dec 2012 and new permits increased 17.7 percent. Construction of new houses in the US remains at very depressed levels. Housing starts fell 48.5 percent in Jan-Dec 2013 relative to Jan-Dec 2006 and fell 55.2 percent relative to Jan-Dec 2005. Housing permits fell 46.9 percent in Jan-Dec 2013 relative to Jan-Dec 2006 and fell 54.7 percent relative to Jan-Dec 2005.
Table VA-4, US, Housing Starts and New Permits, Thousands of Units, NSA, and %
Housing Starts | New Permits | |
Jan-Dec 2013 | 926.7 | 976.4 |
Jan-Dec 2012 | 780.6 | 829.7 |
∆% Jan 2014/Jan 2013 | 18.7 | 17.7 |
Jan-Dec 2006 | 1,800.9 | 1,838.9 |
∆% Jan-Dec 2013/Jan-Dec 2006 | -48.5 | -46.9 |
Jan-Dec 2005 | 2,068.3 | 2,155.3 |
∆% Jan-Dec 2013/Jan-Dec 2005 | -55.2 | -54.7 |
Source: US Census Bureau http://www.census.gov/construction/nrc/
Chart VA-4 of the US Census Bureau shows the sharp increase in construction of new houses from 2000 to 2006. Housing construction fell sharply through the recession, recovering from the trough around IIQ2009. The right-hand side of Chart VA-4 shows a mild downward trend or stagnation from mid-2010 to the present in single-family houses with a recent mild upward trend in recent months in the category of two or more units but marginal decline in recent months. While single unit houses starts increased 15.5 percent in Jan-Dec 2013 relative to a year earlier, not seasonally adjusted, structures with two to four units increased 21.1 percent and with five units or more increased 26.0 percent. Single unit houses were 66.7 percent of total housing starts in 2013 while construction of five units of more were 31.8 percent with construction of two to four units were 1.5 percent of the total.
Chart VA-4, US, Total and Single-Family New Housing Units Started in the US, SAAR (Seasonally Adjusted Annual Rate)
Source: US Census Bureau
http://www.census.gov/briefrm/esbr/www/esbr020.html
Table VA-5 provides new housing units that started in the US at seasonally adjusted annual rates (SAAR) from Jul to Dec and in Jan of the year from 2000 to 2014. SAARs have dropped from high levels around 2 million in 2005-2006 to the range of 707,000 in Mar 2012 to 983,000 in Dec 2012 and 1,005,000 in Mar 2013, which is an improvement over the range of 517,000 in Feb 2011 to 711,000 in Nov 2011. There is improvement in Jul 2013 with SAAR of 891,000 relative to 741,000 in Jul 2012 and in Aug 2013 with 883,000 relative to 749,000 in Aug 2012. Improvement continued with 1,048,000 in Dec 2013 relative to 983,000 in Dec 2012. Housing starts remained at a relatively high level of 1,048,000 in Dec 2013 compared with 983,000 in Dec 2012. The rate of housing starts fell to 880,000 in Jan 2014 relative to 898,000 in Jan 2013.
Table VA-5, US, New Housing United Started at Seasonally Adjusted Rates, Thousand Units
Jan | Jul | Aug | Sep | Oct | Nov | Dec | |
2000 | 1,636 | 1,463 | 1,541 | 1,507 | 1,549 | 1,551 | 1,532 |
2001 | 1,600 | 1,670 | 1,567 | 1,562 | 1,540 | 1,602 | 1,568 |
2002 | 1,698 | 1,655 | 1,633 | 1,804 | 1,648 | 1,753 | 1,788 |
2003 | 1,853 | 1,897 | 1,833 | 1,939 | 1,967 | 2,083 | 2,057 |
2004 | 1,911 | 2,002 | 2,024 | 1,905 | 2,072 | 1,782 | 2,042 |
2005 | 2,144 | 2,054 | 2,095 | 2,151 | 2,065 | 2,147 | 1,994 |
2006 | 2,273 | 1,737 | 1,650 | 1,720 | 1,491 | 1,570 | 1,649 |
2007 | 1,409 | 1,354 | 1,330 | 1,183 | 1,264 | 1,197 | 1,037 |
2008 | 1,084 | 923 | 844 | 820 | 777 | 652 | 560 |
2009 | 490 | 594 | 586 | 585 | 534 | 588 | 581 |
2010 | 614 | 546 | 599 | 594 | 543 | 545 | 539 |
2011 | 630 | 623 | 585 | 650 | 610 | 711 | 694 |
2012 | 723 | 741 | 749 | 854 | 864 | 842 | 983 |
2013 | 898 | 891 | 883 | 873 | 899 | 1,101 | 1,048 |
2014 | 880 | NA | NA | NA | NA | NA | NA |
Source: US Census Bureau http://www.census.gov/construction/nrc/
Chart VA-5 of the US Census Bureau provides construction of new housing units started in the US at seasonally adjusted annual rate (SAAR) from Jan 1959 to Jan 2014 that help to analyze in historical perspective the debacle of US new house construction. There are three periods in the series. (1) There is stationary behavior with wide fluctuations from 1959 to the beginning of the decade of the 1970s. (2) There is sharp upward trend from the 1990s to 2006 propelled by the US housing subsidy, politics of Fannie Mae and Freddie Mac and unconventional monetary policy of near zero interest rates from Jun 2003 to Jun 2004 and suspension of the auction of 30-year Treasury bonds intended to lower mortgage rates. The financial crisis and global recession were caused by interest rate and housing subsidies and affordability policies that encouraged high leverage and risks, low liquidity and unsound credit (Pelaez and Pelaez, Financial Regulation after the Global Recession (2009a), 157-66, Regulation of Banks and Finance (2009b), 217-27, International Financial Architecture (2005), 15-18, The Global Recession Risk (2007), 221-5, Globalization and the State Vol. II (2008b), 197-213, Government Intervention in Globalization (2008c), 182-4). Several past comments of this blog elaborate on these arguments, among which: http://cmpassocregulationblog.blogspot.com/2011/07/causes-of-2007-creditdollar-crisis.html http://cmpassocregulationblog.blogspot.com/2011/01/professor-mckinnons-bubble-economy.html http://cmpassocregulationblog.blogspot.com/2011/01/world-inflation-quantitative-easing.html http://cmpassocregulationblog.blogspot.com/2011/01/treasury-yields-valuation-of-risk.html http://cmpassocregulationblog.blogspot.com/2010/11/quantitative-easing-theory-evidence-and.html http://cmpassocregulationblog.blogspot.com/2010/12/is-fed-printing-money-what-are.html . (3) Housing construction dropped vertically during the global recession. There was initial stability followed by some recovery in recent months.
Chart VA-5, US, New Housing Units Started in the US, SAAR (Seasonally Adjusted Annual Rate), Thousands of Units, Jan 1959-Jan 2014
Source: US Census Bureau http://www.census.gov/construction/nrc/
Table VA-6 provides actual new housing units started in the US, not seasonally adjusted, from Jul to Dec and in Jan in the years from 2000 to 2014. The number of housing units started fell from the peak of 197.9 thousand in May 2005 to 69.5 thousand in Dec 2013 or decline of 64.9 percent in large part because of lower seasonal activity at the end of the year. The number of housing units started jumped from 47.2 thousand in Jan 2012 to 59.1 thousand in Jan 2014 or by 25.2 percent and increased 51.9 percent from 38.9 thousand in Jan 2010.
Table VA-6, New Housing Units Started in the US, Not Seasonally Adjusted, Thousands of Units
Jan | Jul | Aug | Sep | Oct | Nov | Dec | |
2000 | 104.0 | 135.0 | 141.4 | 128.9 | 139.7 | 117.1 | 100.7 |
2001 | 106.4 | 154.6 | 141.5 | 133.1 | 139.8 | 121.0 | 104.6 |
2002 | 110.4 | 155.9 | 147.0 | 155.6 | 146.8 | 133.0 | 123.1 |
2003 | 117.8 | 175.8 | 163.8 | 171.3 | 173.5 | 153.7 | 144.2 |
2004 | 124.5 | 182.0 | 185.9 | 164.0 | 181.3 | 138.1 | 140.2 |
2005 | 142.9 | 187.6 | 192.0 | 187.9 | 180.4 | 160.7 | 136.0 |
2006 | 153.0 | 160.9 | 146.8 | 150.1 | 130.6 | 115.2 | 112.4 |
2007 | 95.0 | 127.9 | 121.2 | 101.5 | 115.0 | 88.8 | 68.9 |
2008 | 70.8 | 86.7 | 76.4 | 73.9 | 68.2 | 47.5 | 37.7 |
2009 | 31.9 | 56.8 | 52.9 | 52.6 | 44.5 | 42.3 | 36.6 |
2010 | 38.9 | 51.5 | 56.3 | 53.0 | 45.4 | 40.6 | 33.8 |
2011 | 40.2 | 57.6 | 54.5 | 58.8 | 53.2 | 53.0 | 42.7 |
2012 | 47.2 | 69.2 | 69.0 | 75.8 | 77.0 | 62.2 | 63.2 |
2013 | 58.7 | 84.0 | 80.4 | 78.4 | 78.4 | 83.8 | 69.5 |
2014 | 59.1 | NA | NA | NA | NA | NA | NA |
Source: US Census Bureau http://www.census.gov/construction/nrc/
Chart VA-6 of the US Census Bureau provides new housing units started in the US not seasonally adjusted (NSA) from Jan 1959 to Jan 2014. There is the same behavior as in Chart VA-5 SA but with sharper fluctuations in the original series without seasonal adjustment. There are the same three periods. (1) The series is virtually stationary with wide fluctuations from 1959 to the late 1980s. (2) There is downward trend during the savings and loans crisis of the 1980s. Benston and Kaufman (1997, 139) find that there was failure of 1150 US commercial and savings banks between 1983 and 1990, or about 8 percent of the industry in 1980, which is nearly twice more than between the establishment of the Federal Deposit Insurance Corporation in 1934 through 1983. More than 900 savings and loans associations, representing 25 percent of the industry, were closed, merged or placed in conservatorships (see Pelaez and Pelaez, Regulation of Banks and Finance (2008b), 74-7). The Financial Institutions Reform, Recovery and Enforcement Act of 1989 (FIRREA) created the Resolution Trust Corporation (RTC) and the Savings Association Insurance Fund (SAIF) that received $150 billion of taxpayer funds to resolve insolvent savings and loans. The GDP of the US in 1989 was $4346.7 billion (http://www.bea.gov/iTable/index_nipa.cfm), such that the partial cost to taxpayers of that bailout was around 3.45 percent of GDP in a year. US GDP in 2013 is estimated at $16,803.0 billion, such that the bailout would be equivalent to cost to taxpayers of about $579.7 billion in current GDP terms. A major difference with the Troubled Asset Relief Program (TARP) for private-sector banks is that most of the costs were recovered with interest gains whereas in the case of savings and loans there was no recovery. (3) There is vertical drop of new housing construction in the US during the global recession from (Dec) IVQ2007 to (Jun) IIQ2009 (http://www.nber.org/cycles/cyclesmain.html). The final segment shows upward trend but it could be simply part of yet another fluctuation. Marginal improvement in housing in the US should not obscure the current depressed levels relative to earlier periods.
Chart VA-6, US, New Housing Units Started in the US, Not Seasonally Adjusted, Thousands of Units, Jan 1959-Jan 2014
Source: US Census Bureau http://www.census.gov/construction/nrc/
Chart VA-7 of the US Census Bureau provides single-family houses started without seasonal adjustment. There was sharp increase from 1992 to 2007 followed by sharp decline. The recovery is sluggish.
Chart VA-7, US, Single-family Houses Started, Thousands of Units, Jan-1959-Jan 2014, NSA
Source: US Census Bureau http://www.census.gov/construction/nrc
Chart VA-8 of the US Census Bureau provides housing units started with five units or more. Construction was stagnant before the drop in the global recession. Recovery is stronger than in the case of single-family units.
Chart VA-8, US, Housing Units Stated in Buildings with Five Units or More, Thousands of Units, Jan-1959-Jan 2014, NSA
Source: US Census Bureau http://www.census.gov/construction/nrc/
A longer perspective on residential construction in the US is provided by Table VA-7 with annual data from 1960 to 2013. Housing starts fell 55.2 percent from 2005 to 2013, 41.1 percent from 2000 to 2013 and 35.2 percent relative to the average from 1959 to 1963. Housing permits fell 54.7 percent from 2005 to 2013, 38.7 percent from 2000 to 2013 and 15.7 percent from the average of 1969-1963 to 2013. Housing starts rose 31.8 from 2000 to 2005 while housing permits grew 35.4 percent. From 1990 to 2000, housing starts increased 31.5 percent while permits increased 43.3 percent.
Table VA-7, US, Annual New Privately Owned Housing Units Authorized by Building Permits in Permit-Issuing Places and New Privately Owned Housing Units Started, Thousands
Starts | Permits | |
2013 | 926.7 | 976.4 |
2012 | 780.6 | 829.7 |
∆% 2013/2012 | 18.7 | 17.7 |
∆% 2013/2011 | 52.2 | 56.4 |
∆% 2013/2010 | 57.9 | 61.5 |
∆% 2013/2006 | -48.5 | -46.9 |
∆% 2013/2005 | -55.2 | -54.7 |
∆% 2013/2000 | -41.1 | -38.7 |
∆% 2013/Av 1959-1963 | -35.2 | -15.7 |
2011 | 608.8 | 624.1 |
∆% 2012/2005 | -62.3 | -61.5 |
∆% 2012/2000 | -50.2 | -47.9 |
∆% 2012/Av 1959-1963 | -45.4 | -28.4 |
2011 | 608.8 | 624.1 |
2010 | 586.9 | 604.6 |
2009 | 554.0 | 583.0 |
2008 | 905.5 | 905.4 |
2007 | 1,355,0 | 1,398.4 |
2006 | 1,800.9 | 1,838.9 |
2005 | 2,068.3 | 2,155.3 |
∆% 2005/2000 | 31.8 | 35.4 |
2004 | 1,955.8 | 2,070.1 |
2003 | 1,847.7 | 1,889.2 |
2002 | 1,704.9 | 1,747.7 |
2001 | 1,602.7 | 1,636.7 |
2000 | 1,568.7 | 1,592.3 |
∆% 2000/1990 | 31.5 | 43.3 |
1990 | 1,192,7 | 1,110.8 |
1980 | 1,292.2 | 1,190.6 |
1970 | 1,433.6 | 1,351.5 |
Average 1959-63 | 1,429.7 | 1,158.2 |
Source: US Census Bureau
http://www.census.gov/construction/nrc/
Risk aversion channels funds toward US long-term and short-term securities that finance the US balance of payments and fiscal deficits benefitting from risk flight to US dollar denominated assets. There are now temporary interruptions because of fear of rising interest rates that erode prices of US government securities because of mixed signals on monetary policy and exit from the Fed balance sheet of three trillion dollars of securities held outright. Net foreign purchases of US long-term securities (row C in Table VA-8) decreased from minus $28.0 billion in Nov 2013 to minus $45.3 billion in Dec 2013. Foreign (residents) purchases minus sales of US long-term securities (row A in Table VA-8) in Nov 2013 of minus $9.1 billion decreased to minus $18.6 billion in Dec 2013. Net US (residents) purchases of long-term foreign securities (row B in Table VA-8) deteriorated from minus $19.0 billion in Nov 2013 to minus $27.3 billion in Dec 2013. In Dec 2013,
C = A + B = -$18.6 billion - $27.3 billion = -$45.9 billion
There are minor rounding errors. There is slowing demand in Table VA-8 in Nov in A1 private purchases by residents overseas of US long-term securities of -$1.6 billion of which improvement in A11 Treasury securities of $29.7 billion, slowing in A12 of minus $10.3 billion in agency securities, slowing of minus $7.9 billion of corporate bonds and decrease of $13.1 billion in equities. Worldwide risk aversion causes flight into US Treasury obligations with significant oscillations. Official purchases of securities in row A2 decreased $17.0 billion with decrease of Treasury securities of $11.9 billion in Dec 2013. Official purchases of agency securities decreased $5.1 billion in Dec. Row D shows increase in Dec 2013 of 3.5 billion in purchases of short-term dollar denominated obligations. Foreign private holdings of US Treasury bills increased $19.6 billion (row D11) with foreign official holdings increasing $14.2 billion while the category “other” decreased $30.2 billion. Foreign private holdings of US Treasury bills increased $19.6 billion in what could be decrease of duration exposures. Risk aversion of default losses in foreign securities dominates decisions to accept zero interest rates in Treasury securities with no perception of principal losses. In the case of long-term securities, investors prefer to sacrifice inflation and possible duration risk to avoid principal losses with significant oscillations in risk perceptions.
Table VA-8, Net Cross-Borders Flows of US Long-Term Securities, Billion Dollars, NSA
Dec 2012 12 Months | Dec 2013 12 Months | Nov 2013 | Dec 2013 | |
A Foreign Purchases less Sales of | 634.1 | 80.3 | -9.1 | -18.6 |
A1 Private | 408.2 | 1.6 | -19.2 | -1.6 |
A11 Treasury | 206.6 | 51.4 | -10.3 | 29.7 |
A12 Agency | 134.2 | -13.1 | -2.2 | -10.3 |
A13 Corporate Bonds | -31.0 | -0.6 | -1.4 | -7.9 |
A14 Equities | 98.4 | -36.1 | -5.3 | -13.1 |
A2 Official | 225.9 | 78.7 | 10.2 | -17.0 |
A21 Treasury | 209.9 | -8.5 | 10.2 | -11.9 |
A22 Agency | -1.3 | 75.2 | 1.7 | -5.1 |
A23 Corporate Bonds | 7.0 | 16.2 | 0.8 | 0.5 |
A24 Equities | 10.3 | -4.1 | -2.6 | -0.5 |
B Net US Purchases of LT Foreign Securities | -21.2 | -217.6 | -19.0 | -27.3 |
B1 Foreign Bonds | 19.9 | -43.6 | -14.5 | -8.2 |
B2 Foreign Equities | -41.1 | -174.0 | -4.4 | -19.1 |
C Net Foreign Purchases of US LT Securities | 612.9 | -137.3 | -28.0 | -45.9 |
D Increase in Foreign Holdings of Dollar Denominated Short-term | 63.3 | -26.2 | 18.5 | 3.5 |
D1 US Treasury Bills | 16.3 | 21.1 | 21.5 | 33.7 |
D11 Private | 0.8 | -4.5 | 16.0 | 19.6 |
D12 Official | 15.5 | 25.6 | 5.5 | 14.2 |
D2 Other | 47.0 | -47.2 | -3.0 | -30.2 |
C = A + B;
A = A1 + A2
A1 = A11 + A12 + A13 + A14
A2 = A21 + A22 + A23 + A24
B = B1 + B2
D = D1 + D2
Sources: United States Treasury
http://www.treasury.gov/resource-center/data-chart-center/tic/Pages/ticpress.aspx
Table VA-9 provides major foreign holders of US Treasury securities. China is the largest holder with $1268.9 billion in Dec 2013, increasing 4.0 percent from $1220.4 billion in Dec 2012 while decreasing $47.8 billion from Nov 2013 or 3.6 percent. Japan increased its holdings from $1111.2 billion in Dec 2012 to $1182.5 billion in Dec 2013 or by 6.4 percent. Japan decreased its holdings from $1186.4 billion in Nov 2013 to $1182.5 billion in Dec 2013 by $3.9 billion or 0.0 percent. Total foreign holdings of Treasury securities rose from $5573.8 billion in Dec 2012 to $5794.9 billion in Dec 2013, or 4.0 percent. Foreign holdings of Treasury securities fell from $5740.4 in Mar 2013 to $5670.8 in Apr 2013 or 1.2 percent. Foreign holdings of US Treasury securities fell from $5600.6 billion in Jun 2013 to $5590.1 billion in Jul 2013, by $10.5 billion or 0.2 percent. The US continues to finance its fiscal and balance of payments deficits with foreign savings (see Pelaez and Pelaez, The Global Recession Risk (2007)). A point of saturation of holdings of US Treasury debt may be reached as foreign holders evaluate the threat of reduction of principal by dollar devaluation and reduction of prices by increases in yield, including possibly risk premium. Shultz et al (2012) find that the Fed financed three-quarters of the US deficit in fiscal year 2011, with foreign governments financing significant part of the remainder of the US deficit while the Fed owns one in six dollars of US national debt. Concentrations of debt in few holders are perilous because of sudden exodus in fear of devaluation and yield increases and the limit of refinancing old debt and placing new debt. In their classic work on “unpleasant monetarist arithmetic,” Sargent and Wallace (1981, 2) consider a regime of domination of monetary policy by fiscal policy (emphasis added):
“Imagine that fiscal policy dominates monetary policy. The fiscal authority independently sets its budgets, announcing all current and future deficits and surpluses and thus determining the amount of revenue that must be raised through bond sales and seignorage. Under this second coordination scheme, the monetary authority faces the constraints imposed by the demand for government bonds, for it must try to finance with seignorage any discrepancy between the revenue demanded by the fiscal authority and the amount of bonds that can be sold to the public. Suppose that the demand for government bonds implies an interest rate on bonds greater than the economy’s rate of growth. Then if the fiscal authority runs deficits, the monetary authority is unable to control either the growth rate of the monetary base or inflation forever. If the principal and interest due on these additional bonds are raised by selling still more bonds, so as to continue to hold down the growth of base money, then, because the interest rate on bonds is greater than the economy’s growth rate, the real stock of bonds will growth faster than the size of the economy. This cannot go on forever, since the demand for bonds places an upper limit on the stock of bonds relative to the size of the economy. Once that limit is reached, the principal and interest due on the bonds already sold to fight inflation must be financed, at least in part, by seignorage, requiring the creation of additional base money.”
Table VA-9, US, Major Foreign Holders of Treasury Securities $ Billions at End of Period
Dec 2013 | Nov 2013 | Dec 2012 | |
Total | 5794.9 | 5716.9 | 5573.8 |
China | 1268.9 | 1316.7 | 1220.4 |
Japan | 1182.5 | 1186.4 | 1111.2 |
Caribbean Banking Centers | 290.9 | 290.9 | 268.3 |
Belgium | 256.8 | 200.6 | 138.8 |
Brazil | 245.4 | 246.9 | 253.3 |
Oil Exporters | 238.3 | 236.2 | 262.0 |
Taiwan | 182.2 | 183.7 | 195.4 |
Switzerland | 175.1 | 176.7 | 195.4 |
United Kingdom | 163.6 | 161.5 | 132.6 |
Hong Kong | 158.8 | 141.7 | 141.9 |
Russia | 138.6 | 139.9 | 161.5 |
Luxembourg | 134.4 | 130.4 | 154.7 |
Ireland | 125.1 | 116.9 | 103.1 |
Foreign Official Holdings | 4054.4 | 4074.2 | 4032.2 |
A. Treasury Bills | 398.3 | 384.1 | 372.7 |
B. Treasury Bonds and Notes | 3656.1 | 3690.1 | 3659.5 |
Source: United States Treasury
http://www.treasury.gov/resource-center/data-chart-center/tic/Pages/index.aspx
VB Japan. Table VB-BOJF provides the forecasts of economic activity and inflation in Japan by the majority of members of the Policy Board of the Bank of Japan, which is part of their Outlook for Economic Activity and Prices (http://www.boj.or.jp/en/announcements/release_2013/k130711a.pdf). For fiscal 2013, the forecast is of growth of GDP between 2.5 and 2.9 percent, with the all items CPI less fresh food of 0.7 to 0.9 percent (http://www.boj.or.jp/en/announcements/release_2014/k140122a.pdf). The critical difference is forecast of the CPI excluding fresh food of 2.9 to 3.6 percent in 2014 and 1.7 to 2.9 percent in 2015. Consumer price inflation in Japan excluding fresh food was 0.0 percent in Nov 2013 and 1.2 percent in 12 months (http://www.stat.go.jp/english/data/cpi/1581.htm). The new monetary policy of the Bank of Japan aims to increase inflation to 2 percent. These forecasts are biannual in Apr and Oct. The Cabinet Office, Ministry of Finance and Bank of Japan released on Jan 22, 2013, a “Joint Statement of the Government and the Bank of Japan on Overcoming Deflation and Achieving Sustainable Economic Growth” (http://www.boj.or.jp/en/announcements/release_2013/k130122c.pdf) with the important change of increasing the inflation target of monetary policy from 1 percent to 2 percent:
“The Bank of Japan conducts monetary policy based on the principle that the policy shall be aimed at achieving price stability, thereby contributing to the sound development of the national economy, and is responsible for maintaining financial system stability. The Bank aims to achieve price stability on a sustainable basis, given that there are various factors that affect prices in the short run.
The Bank recognizes that the inflation rate consistent with price stability on a sustainable basis will rise as efforts by a wide range of entities toward strengthening competitiveness and growth potential of Japan's economy make progress. Based on this recognition, the Bank sets the price stability target at 2 percent in terms of the year-on-year rate of change in the consumer price index.
Under the price stability target specified above, the Bank will pursue monetary easing and aim to achieve this target at the earliest possible time. Taking into consideration that it will take considerable time before the effects of monetary policy permeate the economy, the Bank will ascertain whether there is any significant risk to the sustainability of economic growth, including from the accumulation of financial imbalances.”
The Bank of Japan also provided explicit analysis of its view on price stability in a “Background note regarding the Bank’s thinking on price stability” (http://www.boj.or.jp/en/announcements/release_2013/data/rel130123a1.pdf http://www.boj.or.jp/en/announcements/release_2013/rel130123a.htm/). The Bank of Japan also amended “Principal terms and conditions for the Asset Purchase Program” (http://www.boj.or.jp/en/announcements/release_2013/rel130122a.pdf): “Asset purchases and loan provision shall be conducted up to the maximum outstanding amounts by the end of 2013. From January 2014, the Bank shall purchase financial assets and provide loans every month, the amount of which shall be determined pursuant to the relevant rules of the Bank.”
Financial markets in Japan and worldwide were shocked by new bold measures of “quantitative and qualitative monetary easing” by the Bank of Japan (http://www.boj.or.jp/en/announcements/release_2013/k130404a.pdf). The objective of policy is to “achieve the price stability target of 2 percent in terms of the year-on-year rate of change in the consumer price index (CPI) at the earliest possible time, with a time horizon of about two years” (http://www.boj.or.jp/en/announcements/release_2013/k130404a.pdf). The main elements of the new policy are as follows:
- Monetary Base Control. Most central banks in the world pursue interest rates instead of monetary aggregates, injecting bank reserves to lower interest rates to desired levels. The Bank of Japan (BOJ) has shifted back to monetary aggregates, conducting money market operations with the objective of increasing base money, or monetary liabilities of the government, at the annual rate of 60 to 70 trillion yen. The BOJ estimates base money outstanding at “138 trillion yen at end-2012) and plans to increase it to “200 trillion yen at end-2012 and 270 trillion yen at end 2014” (http://www.boj.or.jp/en/announcements/release_2013/k130404a.pdf).
- Maturity Extension of Purchases of Japanese Government Bonds. Purchases of bonds will be extended even up to bonds with maturity of 40 years with the guideline of extending the average maturity of BOJ bond purchases from three to seven years. The BOJ estimates the current average maturity of Japanese government bonds (JGB) at around seven years. The BOJ plans to purchase about 7.5 trillion yen per month (http://www.boj.or.jp/en/announcements/release_2013/rel130404d.pdf). Takashi Nakamichi, Tatsuo Ito and Phred Dvorak, wiring on “Bank of Japan mounts bid for revival,” on Apr 4, 2013, published in the Wall Street Journal (http://online.wsj.com/article/SB10001424127887323646604578401633067110420.html ), find that the limit of maturities of three years on purchases of JGBs was designed to avoid views that the BOJ would finance uncontrolled government deficits.
- Seigniorage. The BOJ is pursuing coordination with the government that will take measures to establish “sustainable fiscal structure with a view to ensuring the credibility of fiscal management” (http://www.boj.or.jp/en/announcements/release_2013/k130404a.pdf).
- Diversification of Asset Purchases. The BOJ will engage in transactions of exchange traded funds (ETF) and real estate investment trusts (REITS) and not solely on purchases of JGBs. Purchases of ETFs will be at an annual rate of increase of one trillion yen and purchases of REITS at 30 billion yen.
- Bank Lending Facility and Growth Supporting Funding Facility. At the meeting on Feb 18, the Bank of Japan doubled the scale of these lending facilities to prevent their expiration in the near future (http://www.boj.or.jp/en/announcements/release_2014/k140218a.pdf).
Table VB-BOJF, Bank of Japan, Forecasts of the Majority of Members of the Policy Board, % Year on Year
Fiscal Year | Real GDP | CPI All Items Less Fresh Food | Excluding Effects of Consumption Tax Hikes |
2013 | |||
Jan 2014 | +2.5 to +2.9 [+2.7] | +0.7 to +0.9 [+0.7] | |
Oct 2013 | +2.6 to +3.0 [+2.7] | +0.6 to +1.0 [+0.7] | |
Jul 2013 | +2.5 to +3.0 [+2.8] | +0.5 to +0.8 [+0.6] | |
2014 | |||
Jan 2014 | +0.9 to 1.5 [+1.4] | +2.9 to +3.6 [+3.3] | +0.9 to +1.6 [+1.3] |
Oct 2013 | +0.9 to +1.5 [+1.5] | +2.8 to +3.6 [+3.3] | +0.8 to +1.6 [+1.3] |
Jul 2013 | +0.8 to +1.5 [+1.3] | +2.7 to +3.6 [+3.3] | +0.7 to +1.6 [+1.3] |
2015 | |||
Jan 2014 | +1.2 to +1.8 [+1.5] | +1.7 to +2.9 [+2.6] | +1.0 to +2.2 [+1.9] |
Oct 2013 | +1.3 to +1.8 [+1.5] | +1.6 to +2.9 [+2.6] | +0.9 to +2.2 [+1.9] |
Jul 2013 | +1.3 to +1.9 [+1.5] | +1.6 to +2.9 [+2.6] | +0.9 to +2.2 [+1.9] |
Figures in brackets are the median of forecasts of Policy Board members
Source: Policy Board, Bank of Japan
http://www.boj.or.jp/en/mopo/outlook/gor1310b.pdf
Private-sector activity in Japan expanded with the Markit Composite Output PMI™ Index increasing from 54.0 in Dec to 54.1 in Jan, indicating strong growth (http://www.markiteconomics.com/Survey/PressRelease.mvc/cad438c99cbe46cb87a9d4c4467a6d58). Claudia Tillbrooke, Economist at Markit and author of the report, finds that the survey data suggest continuing strong growth of the economy of Japan with strength in manufacturing (http://www.markiteconomics.com/Survey/PressRelease.mvc/cad438c99cbe46cb87a9d4c4467a6d58). The Markit Business Activity Index of Services decreased from the record of 51.8 in Nov to 52.1 in Dec and 51.2 in Jan (http://www.markiteconomics.com/Survey/PressRelease.mvc/cad438c99cbe46cb87a9d4c4467a6d58). Claudia Tillbrooke, Economist at Markit and author of the report, finds growth in services diverging from manufacturing (http://www.markiteconomics.com/Survey/PressRelease.mvc/cad438c99cbe46cb87a9d4c4467a6d58). The Markit/JMMA Purchasing Managers’ Index™ (PMI™), seasonally adjusted, increased from 55.2 in Dec to 55.6 in Jan, which is the highest level since Feb 2006 (http://www.markiteconomics.com/Survey/PressRelease.mvc/1c224403252848b1be511ebfc5f94cc2). New orders grew at a high rate for the eleventh consecutive month at the fastest since Feb 2006. New export orders increased for the fifth consecutive month at the slowest pace in this sequence. Claudia Tillbrooke, Economist at Markit and author of the report, finds improving manufacturing conditions at the highest levels since 2006 with some concerns about the sales tax increase in Apr and employment expanding (http://www.markiteconomics.com/Survey/PressRelease.mvc/1c224403252848b1be511ebfc5f94cc2).Table JPY provides the country data table for Japan.
Table JPY, Japan, Economic Indicators
Historical GDP and CPI | 1981-2010 Real GDP Growth and CPI Inflation 1981-2010 |
Corporate Goods Prices | Jan ∆% 0.1 |
Consumer Price Index | Dec NSA ∆% 0.1; Dec 12 months NSA ∆% 1.6 |
Real GDP Growth | IVQ2013 ∆%: 0.3 on IIIQ2013; IVQ2013 SAAR 1.0; |
Employment Report | Dec Unemployed 2.25 million Change in unemployed since last year: minus 340 thousand |
All Industry Indices | Dec month SA ∆% -0.1 Blog 2/23/14 |
Industrial Production | Dec SA month ∆%: 1.1 |
Machine Orders | Total Dec ∆% -3.1 Private ∆%: -9.2 Dec ∆% Excluding Volatile Orders -15.7 |
Tertiary Index | Dec month SA ∆% -0.4 |
Wholesale and Retail Sales | Dec 12 months: |
Family Income and Expenditure Survey | Dec 12-month ∆% total nominal consumption 2.7, real 0.7 Blog 2/2/14 |
Trade Balance | Exports Jan 12 months ∆%: 9.5 Imports Dec 12 months ∆% 25.0 Blog 2/23/14 |
Links to blog comments in Table JPY:
2/16/14 http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.html
2/2/14 http://cmpassocregulationblog.blogspot.com/2014/02/mediocre-cyclical-united-states.html
12/15/13 http://cmpassocregulationblog.blogspot.com/2013/12/theory-and-reality-of-secular.html
11/17/13 http://cmpassocregulationblog.blogspot.com/2013/11/risks-of-unwinding-monetary-policy.html
9/15/13 http://cmpassocregulationblog.blogspot.com/2013/09/recovery-without-hiring-ten-million.html
8/18/13 http://cmpassocregulationblog.blogspot.com/2013/08/duration-dumping-and-peaking-valuations.html
The economy of Japan grew 0.3 percent in IVQ2013 after 0.3 percent in IIIQ2013, 1.0 percent in IIQ2013 and 1.2 percent in IQ2013, seasonally adjusted, as shown in Table VB-1, incorporating the latest estimates and revisions. Japan’s GDP decreased 0.1 percent in IVQ2012 relative to IIIQ2012. IQ2012 GDP growth was revised to 0.9 percent; IIQGDP growth was revised to -0.4 percent; and IIIQ2012 growth was revised to -0.8 percent. The economy of Japan had already weakened in IVQ2010 when GDP fell revised 0.5 percent. As in other advanced economies, Japan’s recovery from the global recession has not been robust. GDP fell 1.9 percent in IQ2011 and fell again 0.7 percent in IIQ2011 because of the disruption of the tragic Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011. Recovery was robust in the first two quarters of 2010 but GDP grew at 1.4 percent in IIIQ2010 and fell 0.5 percent in IVQ2010. The deepest quarterly contractions in the recession were 3.3 percent in IVQ2008 and 4.0 percent in IQ2009.
Table VB-1, Japan, Real GDP ∆% Changes from the Previous Quarter Seasonally Adjusted ∆%
IQ | IIQ | IIIQ | IVQ | |
2013 | 1.2 | 1.0 | 0.3 | 0.3 |
2012 | 0.9 | -0.4 | -0.8 | -0.1 |
2011 | -1.9 | -0.6 | 2.6 | 0.2 |
2010 | 1.4 | 1.1 | 1.4 | -0.5 |
2009 | -4.0 | 1.8 | 0.1 | 1.7 |
2008 | 0.6 | -1.1 | -1.1 | -3.3 |
2007 | 1.0 | 0.2 | -0.4 | 0.9 |
2006 | 0.4 | 0.4 | -0.1 | 1.3 |
2005 | 0.2 | 1.3 | 0.4 | 0.2 |
2004 | 0.9 | 0.1 | 0.1 | -0.3 |
2003 | -0.6 | 1.3 | 0.4 | 1.0 |
2002 | -0.2 | 1.0 | 0.6 | 0.4 |
2001 | 0.6 | -0.2 | -1.1 | -0.1 |
2000 | 1.7 | 0.2 | -0.3 | 0.7 |
1999 | -0.9 | 0.4 | -0.1 | 0.4 |
Source: Japan Economic and Social Research Institute, Cabinet Office
http://www.esri.cao.go.jp/index-e.html
http://www.esri.cao.go.jp/en/sna/sokuhou/sokuhou_top.html
Table VB-2 provides contributions to real GDP at seasonally adjusted annual rates (SAAR). Japan grew at 1.0 percent in IVQ2013 with contribution of 1.2 percentage points of personal consumption expenditures, 1.7 percentage points of gross fixed capital formation and 0.4 percent of government consumption. Trade deducted 2.2 percentage points from GDP growth in IVQ2013 and private inventory divestment deducted 0.1 percentage points. Japan grew at 1.1 percent in IIIQ 2013 with contribution of 0.5 percentage points by personal consumption and 1.9 percentage points by GFCF. Trade deducted 2.0 percentage points. Japan grew at 3.9 percent SAAR in IIQ2013 driven by contributions of 1.6 percent of personal consumption (PC) and 0.5 percent of net trade and gross fixed capital formation (GFCF) at 1.9 percent. In IQ2013, Japan’s GDP increased at the SAAR of 4.8 percent in large part because of 2.6 percent in personal consumption and 1.7 percent in trade. The SAAR of GDP in IVQ2012 was minus 0.2 percent: 1.0 percentage points from growth of personal consumption expenditures (PC) less 0.5 percentage points of net trade (exports less imports) less 1.0 percentage points of private inventory investment (PINV) plus 0.6 percentage points of government consumption and minus 0.2 percentage points of gross fixed capital formation (GFCF). The SAAR of GDP in IIIQ2011 was revised to a high 10.7 percent. Net trade deducted from GDP growth in three quarters of 2011 and provided the growth impulse of 3.8 percentage points in IIIQ2011. Growth in 2011 and IQ2012 was driven by personal consumption expenditures that deducted 1.2 percentage points from GDP growth in IIIQ2012 but added 1.0 percentage points to GDP growth in IVQ2012.
Table VB-2, Japan, Contributions to Changes in Real GDP, Seasonally Adjusted Annual Rates (SAAR), %
GDP | PC | GFCF | Trade | PINV | GOVC | |
2013 | ||||||
I | 4.8 | 2.6 | 0.3 | 1.7 | -0.3 | 0.6 |
II | 3.9 | 1.6 | 1.9 | 0.5 | -0.7 | 0.5 |
III | 1.1 | 0.5 | 1.9 | -2.0 | 0.5 | 0.2 |
IV | 1.0 | 1.2 | 1.7 | -2.2 | -0.1 | 0.4 |
2012 | ||||||
I | 3.7 | 0.9 | 0.1 | 0.4 | 1.1 | 1.1 |
II | -1.7 | 1.0 | 0.3 | -1.3 | -1.2 | -0.4 |
III | -3.1 | -1.1 | -1.2 | -2.2 | 1.0 | 0.4 |
IV | -0.2 | 1.0 | -0.2 | -0.5 | -1.0 | 0.6 |
2011 | ||||||
I | -7.2 | -4.1 | 0.1 | -1.1 | -2.0 | 0.0 |
II | -2.4 | 2.4 | 0.0 | -4.4 | -0.8 | 0.3 |
III | 10.7 | 4.0 | 1.2 | 3.8 | 1.4 | 0.1 |
IV | 0.7 | 1.4 | 3.1 | -3.0 | -0.9 | 0.2 |
2010 | ||||||
I | 5.8 | 1.7 | 0.3 | 2.1 | 2.1 | -0.5 |
II | 4.6 | -0.1 | 1.1 | 0.1 | 2.4 | 1.2 |
III | 5.9 | 3.3 | 0.9 | 0.5 | 1.0 | 0.3 |
IV | -2.2 | -0.9 | -1.2 | -0.4 | 0.0 | 0.3 |
2009 | ||||||
I | -15.2 | -1.9 | -1.9 | -4.4 | -7.7 | 0.8 |
II | 7.3 | 4.0 | -3.1 | 7.4 | -1.7 | 0.7 |
III | 0.2 | 0.0 | -1.4 | 2.2 | -1.7 | 1.0 |
IV | 7.0 | 3.5 | -0.1 | 2.7 | 0.6 | 0.3 |
2008 | ||||||
I | 2.6 | 1.5 | 0.4 | 1.1 | -0.5 | -0.1 |
II | -4.5 | -3.2 | -2.3 | 0.5 | 1.3 | -0.8 |
III | -4.2 | -0.5 | -1.0 | 0.1 | -2.8 | 0.0 |
IV | -12.5 | -2.8 | -4.6 | -11.5 | 5.8 | 0.3 |
2007 | ||||||
I | 4.0 | 0.9 | 0.6 | 1.1 | 1.2 | 0.4 |
II | 0.6 | 0.5 | -1.5 | 0.7 | 0.1 | 0.5 |
III | -1.5 | -1.0 | -1.7 | 2.1 | -0.7 | -0.2 |
IV | 3.5 | 0.3 | 0.2 | 1.4 | 1.0 | 0.6 |
Note: PC: Private Consumption; GFCF: Gross Fixed Capital Formation; PINV: Private Inventory; Trade: Net Exports; GOVC: Government Consumption
Source: Japan Economic and Social Research Institute, Cabinet Office
http://www.esri.cao.go.jp/index-e.html
http://www.esri.cao.go.jp/en/sna/sokuhou/sokuhou_top.html
Long-term economic growth in Japan significantly improved by increasing competitiveness in world markets. Net trade of exports and imports is an important component of the GDP accounts of Japan. Table VB-3 provides quarterly data for net trade, exports and imports of Japan. Net trade had strong positive contributions to GDP growth in Japan in all quarters from IQ2007 to IIQ2009 with exception of IVQ2008, IIIQ2008 and IQ2009. The US recession is dated by the National Bureau of Economic Research (NBER) as beginning in IVQ2007 (Dec) and ending in IIQ2009 (Jun) (http://www.nber.org/cycles/cyclesmain.html). Net trade contributions helped to cushion the economy of Japan from the global recession. Net trade deducted from GDP growth in seven of the nine quarters from IVQ2010 IQ2012. The only strong contribution of net trade was 3.8 percent in IIIQ2011. Net trade added 1.7 percentage points to GDP growth in IQ2013 and 0.5 percentage points in IIQ2013 but deducted 2.0 percentage points in IIIQ2013 and deducted 2.2 percentage points in IVQ2013. Private consumption assumed the role of driver of Japan’s economic growth but should moderate as in most mature economies.
Table VB-3, Japan, Contributions to Changes in Real GDP, Seasonally Adjusted Annual Rates (SAAR), %
Net Trade | Exports | Imports | |
2013 | |||
I | 1.7 | 2.4 | -0.7 |
II | 0.5 | 1.7 | -1.2 |
III | -2.0 | -0.4 | -1.6 |
IV | -2.2 | 0.2 | -2.4 |
2012 | |||
I | 0.4 | 1.7 | -1.3 |
II | -1.3 | -0.3 | -1.0 |
III | -2.2 | -2.5 | 0.2 |
IV | -0.5 | -1.7 | 1.3 |
2011 | |||
I | -1.1 | -0.4 | -0.7 |
II | -4.4 | -4.7 | 0.3 |
III | 3.8 | 5.7 | -1.9 |
IV | -3.0 | -1.9 | -1.1 |
2010 | |||
I | 2.1 | 3.5 | -1.4 |
II | 0.1 | 2.6 | -2.6 |
III | 0.5 | 1.4 | -0.9 |
IV | -0.4 | 0.1 | -0.5 |
2009 | |||
I | -4.4 | -16.4 | 12.0 |
II | 7.4 | 4.7 | 2.7 |
III | 2.2 | 5.3 | -3.0 |
IV | 2.7 | 4.1 | -1.4 |
2008 | |||
I | 1.1 | 2.1 | -1.0 |
II | 0.5 | -1.6 | 2.1 |
III | 0.1 | 0.2 | -0.1 |
IV | -11.5 | -10.2 | -1.2 |
2007 | |||
I | 1.1 | 1.7 | -0.5 |
II | 0.7 | 1.6 | -0.8 |
III | 2.1 | 1.5 | 0.6 |
IV | 1.4 | 2.0 | -0.7 |
Source: Japan Economic and Social Research Institute, Cabinet Office
http://www.esri.cao.go.jp/index-e.html
http://www.esri.cao.go.jp/en/sna/sokuhou/sokuhou_top.html
Japan’s percentage growth of GDP not seasonally adjusted in a quarter relative to the same quarter a year earlier is shown in Table VB-4. Contraction of GDP in a quarter relative to the same quarter a year earlier extended over seven quarters from IIQ2008 through IVQ2009. Contraction was sharpest in IQ2009 with output declining 9.4 percent relative to a year earlier. Yearly quarterly rates of growth of Japan were relatively high for a mature economy through the decade with the exception of the contractions from IVQ2001 to IIQ2002 and after 2007. The Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011 caused flat GDP in IQ2011 at 0.0 percent relative to the same quarter a year earlier and decline of 1.5 percent in IIQ2011. GDP fell 0.5 percent in IIIQ2011 relative to a year earlier and increased 0.1 percent in IVQ2011 relative to a year earlier. Growth resumed with 3.2 percent in IQ2012 relative to a year earlier. Growth of 3.2 percent in IIQ2012 is largely caused by the low level in IIQ2011 resulting from the Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011. GDP decreased 0.2 percent in IIIQ2012 relative to a year earlier and 0.3 percent in IVQ2012 relative to a year earlier. GDP changed 0.0 percent in IQ2013 relative to a year earlier and 1.2 percent in IIQ2013. Growth of 2.3 percent in IIIQ2013 relative to a year earlier is partly due to the decline of 0.8 percent in GDP in IIIQ2012. Japan faces the challenge of recovery from the devastation of the Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011 in an environment of declining world trade and bouts of risk aversion that cause appreciation of the Japanese yen that erode the country’s competitiveness in world markets.
Table VB-4, Japan, Real GDP ∆% Changes from Same Quarter Year Earlier, NSA ∆%
IQ | IIQ | IIIQ | IVQ | |
2013 | 0.0 | 1.2 | 2.3 | 2.7 |
2012 | 3.2 | 3.2 | -0.2 | -0.3 |
2011 | 0.0 | -1.5 | -0.5 | 0.1 |
2010 | 4.9 | 4.4 | 6.0 | 3.3 |
2009 | -9.4 | -6.6 | -5.6 | -0.5 |
2008 | 1.4 | -0.1 | -0.6 | -4.7 |
2007 | 2.8 | 2.3 | 2.0 | 1.6 |
2006 | 2.6 | 1.3 | 0.9 | 2.0 |
2005 | 0.4 | 1.4 | 1.5 | 1.9 |
2004 | 4.0 | 2.6 | 2.2 | 0.7 |
2003 | 1.7 | 1.8 | 1.5 | 1.8 |
2002 | -1.6 | -0.2 | 1.4 | 1.6 |
2001 | 1.6 | 0.9 | 0.0 | -1.0 |
2000 | 2.7 | 2.4 | 2.2 | 1.8 |
1999 | -0.3 | 0.1 | -0.1 | -0.5 |
Source: Japan Economic and Social Research Institute, Cabinet Office
http://www.esri.cao.go.jp/index-e.html
http://www.esri.cao.go.jp/en/sna/sokuhou/sokuhou_top.html
The indices of all industry activity of Japan, which approximates GDP or economic activity, fell to levels close to the worst point of the recession, showing the brutal impact of the Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011. Table VB-5 with the latest revisions shows the quarterly index, which permits comparison with the movement of real GDP. The first row provides weights of the various components of the index: AG (agriculture) 1.4 percent (not shown), CON (construction) 5.7 percent, IND (industrial production) 18.3 percent, TERT (services) 63.2 percent, and GOVT (government) 11.4 percent. GDP increased 0.3 percent in IVQ2013 (Table VB-1 and earlier http://cmpassocregulationblog.blogspot.com/2013/12/theory-and-reality-of-secular.html), industry increased 1.7 percent, the tertiary sector decreased 0.3 percent, government increased 0.1 percent and construction increased 3.4 percent. The report shows that the all industry index increased 0.2 percent in IVQ2013. Industry added 0.30 percentage points to growth of the all industry index and the tertiary index deducted 0.20 percentage points. Japan had already experienced a very weak quarter in IVQ2010, with decline of GDP of 0.5 percent (Table VB-1 and earlier http://cmpassocregulationblog.blogspot.com/2013/12/theory-and-reality-of-secular.html), when it was unexpectedly hit by the Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011. GDP fell 1.9 percent in IQ2011 and 0.6 percent in IIQ2011. GDP chnaged 0.1 percent in IQ2011 relative to a year earlier and fell 1.5 percent in IIQ2011 relative to a year earlier (Tables VB-1 and VB-4 and earlier http://cmpassocregulationblog.blogspot.com/2013/12/theory-and-reality-of-secular.html). The all industry activity index fell in all quarters of 2012 with exception of growth of 0.1 percent in IQ2012. Weakness in industry was the driver of decline.
Table VB-5, Japan, Indices of All Industry Activity Percentage Change from Prior Quarter SA ∆%
CON | IND | TERT | GOVT | ALL IND | REAL | |
Weight | 5.7 | 18.3 | 63.2 | 11.4 | 100.0 | |
2013 | ||||||
IVQ2013 | 3.4 | 1.7 | -0.3 | 0.1 | 0.2 | 0.3 |
Cont to IVQ % Change | 0.18 | 0.30 | -0.20 | 0.01 | ||
IIIQ2013 | 5.4 | 1.8 | -0.1 | -0.4 | 0.6 | 0.3 |
IIQ2013 | 4.7 | 1.5 | 0.7 | -0.5 | 1.0 | 1.0 |
IQ2013 | -0.5 | 0.6 | 0.2 | 0.1 | 0.0 | 1.2 |
2012 | ||||||
IVQ2012 | 3.0 | -1.8 | 0.3 | 0.1 | -0.1 | -0.1 |
IIIQ | 1.6 | -3.3 | 0.0 | 0.0 | -0.4 | -0.8 |
IIQ | 1.3 | -2.1 | 0.0 | 0.0 | -0.2 | -0.4 |
IQ | 2.0 | 1.6 | 0.0 | 0.2 | 0.1 | 0.9 |
AG: indices of agriculture, forestry and fisheries has weight of 1.4% and is not included in official report or in this table; CON: indices of construction industry activity; IND: indices of industrial production; TERT: indices of tertiary industry activity; GOVT: indices of government services, etc.; ALL IND: indices of all industry activity
Source: Japan, Ministry of Economy, Trade and Industry (METI)
http://www.meti.go.jp/english/statistics/index.html
http://www.esri.cao.go.jp/index-e.html
http://www.esri.cao.go.jp/en/sna/sokuhou/sokuhou_top.html
There are more details in Table VB-6. In Dec 2013, the all industry activity index decreased 0.1 percent with industry increasing 1.0 percent and services decreasing 0.4 percent while construction decreased 0.7 percent and government increased 0.5 percent. Industry added 0.17 percentage points and services deducted 0.26 percentage points while construction deducted 0.04 percentage points and government added 0.06 percentage points. The all industry activity index is stronger in 2013 with growth of 0.5 percent in Dec 2012, 0.4 percent in Feb 2013, 0.4 percent in Mar 2013, 0.1 percent in Apr 2013 and 1.1 percent in May 2013. After decline of 0.8 percent in Jun 2013, the all industry index rose 0.4 percent in Jul 2013, 0.3 percent in Aug 2013 and 0.5 percent in Sep 2013. The index fell 0.4 percent in Oct 2013 but increased 0.4 percent in Nov 2013. Industry is recovering with growth of 1.4 percent in Dec 2012, 0.9 percent in Feb 2013, 0.1 percent in Mar 2013, 0.9 percent in Apr 2013 and 1.9 percent in May 2013. After decline of 3.0 percent in Jun 2003, industry grew 3.4 percent in Jul 2013 and declined 0.9 percent in Aug 2013. Industry rebounded with 1.3 percent in Sep 2013 and 1.0 percent in Oct 2013. The highest risk to Japan is if weakening world growth would affect Japanese exports.
Table VB-6, Japan, Indices of All Industry Activity Percentage Change from Prior Month SA ∆%
CON | IND | TERT | GOVT | ALL IND | |
Dec 2013 | -0.7 | 1.0 | -0.4 | 0.5 | -0.1 |
Cont to Dec % Change | -0.04 | 0.17 | -0.26 | 0.06 | |
Nov | 2.6 | -0.1 | 0.8 | -1.2 | 0.4 |
Oct | 1.1 | 1.0 | -1.0 | 1.0 | -0.4 |
Sep | 1.3 | 1.3 | 0.1 | -0.3 | 0.5 |
Aug | 0.0 | -0.9 | 0.6 | -0.2 | 0.3 |
Jul | 0.7 | 3.4 | -0.4 | -0.2 | 0.4 |
Jun | 3.9 | -3.0 | -0.7 | 0.1 | -0.8 |
May | 5.2 | 1.9 | 1.2 | -0.1 | 1.1 |
Apr | -0.1 | 0.9 | -0.5 | 0.2 | 0.1 |
Mar | 0.6 | 0.1 | 0.2 | -0.9 | 0.4 |
Feb | -1.3 | 0.9 | 1.3 | -0.2 | 0.4 |
Jan | -1.4 | -0.7 | -0.8 | 0.6 | -0.7 |
Dec 2012 | 0.9 | 1.4 | 0.2 | -0.3 | 0.5 |
Nov | 3.0 | -0.9 | -0.1 | 0.3 | -0.2 |
Oct | -0.1 | 0.3 | 0.2 | 0.2 | 0.2 |
Sep | 1.2 | -2.2 | 0.0 | -0.3 | -0.4 |
Aug | 0.1 | -1.4 | 0.2 | 0.1 | 0.0 |
Jul | -1.0 | -0.5 | -0.3 | -0.1 | -0.3 |
Jun | 1.7 | -0.9 | 0.0 | 0.1 | 0.1 |
May | 3.0 | -1.8 | 0.5 | 0.0 | -0.1 |
Apr | -1.1 | -0.4 | -0.2 | 0.0 | -0.1 |
Mar | -0.5 | -0.2 | -0.3 | 0.1 | -0.2 |
Feb | 0.7 | -0.2 | 0.2 | -0.2 | 0.1 |
Jan | 2.6 | 0.8 | -0.8 | 0.4 | -0.7 |
AG: indices of agriculture, forestry and fisheries has weight of 1.4% and is not included in official report or in this table; CON: indices of construction industry activity; IND: indices of industrial production; TERT: indices of tertiary industry activity; GOVT: indices of government services, etc.; ALL IND: indices of all industry activity
Sources: Japan, Ministry of Economy, Trade and Industry (METI)
http://www.meti.go.jp/english/statistics/index.html
Percentage changes from a year earlier in calendar years and relative to the same quarter a year earlier of the all industry activity indices are provided in Table VB-7. The first row shows that services contribute 63.2 percent of the total index and industry contributes 18.3 percent for joint contribution of 81.5 percent. The all industry activity index increased 1.8 percent in IVQ2013 relative to a year earlier and GDP increased 2.7 percent relative to a year earlier (Table VB-4 and earlier http://cmpassocregulationblog.blogspot.com/2013/12/theory-and-reality-of-secular.html). Industry increased 5.7 percent relative to a year earlier while the tertiary sector increased 0.5 percent, adding combined 1.30 percentage points to growth of the all industry activity index of 1.8 percent while construction added 0.70 percentage points and government deducted 0.08 percentage points. The fall of industrial production in 2009 was by a catastrophic 21.9 percent. Japan emerged from the crisis with industrial growth of 16.4 percent in 2010. Quarterly data show that industry is the most dynamic sector of the Japanese economy. The all-industry index increased 0.7 percent in 2013 and real GDP increased 1.6 percent. Industry decreased 0.9 percent, deducting 0.15 percentage points, while the tertiary sector increased 0.6 percent, adding 0.40 percentage points. The Tōhoku or Great East Earthquake and Tsunami of Mar 11, 201, declining world trade and revaluation of the yen in fear of world financial risks interrupted the recovery of the Japanese economy from the global recession.
Table VB-7, Japan, Indices of All Industry Activity Percentage Change from Earlier Calendar Year and Same Quarter Year Earlier NSA ∆%
CON | IND | TERT | GOVT | ALL IND | REAL | |
Weight | 5.7 | 18.3 | 63.2 | 11.4 | 100.0 | |
Calendar Year | ||||||
2013 | 10.4 | -0.9 | 0.6 | -0.3 | 0.7 | 1.6 |
Cont to 2013 % Change | 0.48 | -0.15 | 0.40 | -0.04 | ||
2012 | 3.2 | 0.1 | 1.4 | 0.3 | 1.2 | 1.4 |
2011 | -2.0 | -2.3 | 0.1 | -0.2 | -0.5 | -0.5 |
2010 | -7.0 | 16.4 | 1.3 | -0.7 | 3.1 | 4.7 |
2009 | -5.6 | -21.9 | -5.2 | 0.1 | -7.7 | -5.5 |
2008 | -7.6 | -3.4 | -1.0 | -1.4 | -1.9 | -1.0 |
2013 | ||||||
IVQ | 13.6 | 5.7 | 0.5 | -0.7 | 1.8 | 2.7 |
Cont to IVQ % Change | 0.70 | 0.97 | 0.33 | -0.08 | ||
IIIQ | 13.0 | 2.2 | 1.1 | -0.8 | 1.6 | 2.3 |
IIQ | 8.8 | -3.1 | 1.2 | -0.3 | 0.5 | 1.2 |
IQ2013 | 5.4 | -7.8 | -0.2 | 0.7 | -1.2 | 0.0 |
2012 | ||||||
IVQ | 6.7 | -5.9 | 0.7 | -0.1 | -0.3 | -0.3 |
IIIQ | 3.1 | -4.2 | 0.5 | 0.4 | -0.2 | -0.2 |
IIQ | 4.9 | 5.5 | 2.1 | 0.6 | 2.6 | 3.2 |
IQ | -1.1 | 6.2 | 2.4 | 0.3 | 2.6 | 3.2 |
AG: indices of agriculture, forestry and fisheries has weight of 1.4% and is not included in official report or in this table; CON: indices of construction industry activity; IND: indices of industrial production; TERT: indices of tertiary industry activity; GOVT: indices of government services, etc.; ALL IND: indices of all industry activity
Source: Japan, Ministry of Economy, Trade and Industry (METI)
http://www.meti.go.jp/english/statistics/index.html
http://www.esri.cao.go.jp/index-e.html
http://www.esri.cao.go.jp/en/sna/sokuhou/sokuhou_top.html
Percentage changes of a month relative to the same month a year earlier for the indices of all industry activity of Japan are shown in Table VB-8. The all industry activity index increased 2.2 percent in Dec 2013 relative to Dec 2012. Industry increased 7.0 percent in Dec 2013 relative to a year earlier, adding 1.15 percentage points to growth of the all industry activity index. The tertiary sector increased 0.9 percent, adding 0.57 percentage points. Construction added 0.65 percentage points to the index and government deducted 0.15 percentage points.
Table VB-8, Japan, Indices of All Industry Activity Percentage Change from Same Month Year Earlier NSA ∆%
CON | IND | TERT | GOVT | ALL IND | |
Dec 2013 | 12.4 | 7.0 | 0.9 | -1.3 | 2.2 |
Cont to Nov % Change | 0.65 | 1.15 | 0.57 | -0.15 | |
Nov | 14.2 | 4.8 | 0.5 | -0.9 | 1.8 |
Oct | 14.4 | 5.3 | 0.1 | 0.0 | 1.7 |
Sep | 12.8 | 5.1 | 1.4 | -1.2 | 2.3 |
Aug | 13.0 | -0.5 | 0.7 | -0.1 | 0.9 |
Jul | 13.2 | 1.8 | 1.3 | -1.1 | 1.5 |
Jun | 11.2 | -4.6 | 0.5 | 0.3 | 0.0 |
May | 8.9 | -1.0 | 1.7 | -0.4 | 1.2 |
Apr | 6.3 | -3.4 | 1.3 | -0.9 | 0.4 |
Mar | 5.4 | -7.1 | 0.7 | 0.1 | -0.7 |
Feb | 4.3 | -10.1 | -1.6 | 1.9 | -2.4 |
Jan | 6.8 | -6.1 | 0.1 | -0.1 | -0.7 |
Dec 2012 | 8.7 | -7.5 | -0.1 | 0.6 | -0.9 |
Nov | 7.6 | -5.7 | 1.0 | 0.3 | 0.0 |
Oct | 3.5 | -4.7 | 1.3 | -1.1 | 0.1 |
Sep | 2.9 | -7.7 | 0.1 | 0.7 | -1.2 |
Aug | 2.6 | -4.4 | 0.6 | 0.9 | -0.1 |
Jul | 3.8 | -0.2 | 0.8 | -0.3 | 0.6 |
Jun | 6.7 | -1.5 | 0.8 | 0.9 | 0.6 |
May | 5.3 | 6.1 | 3.1 | -0.4 | 3.3 |
Apr | 2.6 | 13.6 | 2.4 | 1.3 | 4.1 |
Mar | 3.0 | 16.2 | 4.2 | 0.5 | 5.8 |
Feb | -2.5 | 2.8 | 2.4 | -0.7 | 1.8 |
Jan | -3.4 | -1.6 | 0.4 | 0.4 | -0.1 |
AG: indices of agriculture, forestry and fisheries has weight of 1.4% and is not included in official report or in this table; CON: indices of construction industry activity; IND: indices of industrial production; TERT: indices of tertiary industry activity; GOVT: indices of government services, etc.; ALL IND: indices of all industry activity
Source: Japan, Ministry of Economy, Trade and Industry (METI)
http://www.meti.go.jp/english/statistics/index.html
The structure of exports and imports of Japan is in Table VB-9. Japan imports all types of raw materials and fuels at rapidly increasing prices caused by the carry trade from zero interest rates to commodities, oscillating under shocks of risk aversion. Mineral fuels account for 34.5 percent of Japan’s imports and increased 22.6 percent in the 12 months ending in Jan 2014 because of alternating carry trades into commodity futures in accordance with risk aversion together with yen devaluation. Weakness of world demand depresses prices of industrial goods. Manufactured products contribute 13.0 percent of Japan’s exports with increase of 7.3 percent in the 12 months ending in Jan 2014. Machinery contributes 18.8 percent of Japan’s exports with increase of 13.6 percent in the 12 months ending in Jan 2014. Electrical machinery contributes 16.3 percent of Japan’s exports with increase of 10.1 percent in the 12 months ending in Jan 2014. Exports of transport equipment with share of 24.2 percent in total exports increased 13.9 percent in the 12 months ending in Jan 2014 but had been increasing sharply largely because of the low level after the Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011. The breakdown of transport equipment in Table VB-5 shows increase of the major categories of motor vehicles of 13.9 percent: cars increased 16.1 percent with increase of 7.5 percent in the minor category of buses and trucks, increase of 7.7 percent for parts of motor vehicles, increase of 25.3 percent for motorcycles and decrease of 37.7 percent for ships. The result of rising commodity prices and stable or declining prices of industrial products is pressure on Japan’s terms of trade with oscillations when risk aversion causes reversal of carry trades from zero interest rates to commodity prices. Data in Table VB-9 are in millions of yen that have been affected by recent depreciation of the yen relative to the USD with invoicing of many products in dollars.
Table VB-9, Japan, Structure and Growth of Exports and Imports % and ∆% Millions Yens
Jan 2014 | Value JPY Millions | % of Total | 12 Months ∆% | Contribution Degree % |
Exports | 5,252,882 | 100.0 | 9.5 | 9.5 |
Foodstuffs | 30,814 | 0.6 | 10.8 | 0.1 |
Raw Materials | 82,405 | 1.6 | -4.3 | -0.1 |
Mineral Fuels | 122,052 | 2.3 | 55.1 | 0.9 |
Chemicals | 627,294 | 11.9 | 14.6 | 1.7 |
Manufactured Goods | 682,991 | 13.0 | 7.3 | 1.0 |
Machinery | 985,364 | 18.8 | 13.6 | 2.5 |
Electrical Machinery | 858,623 | 16.3 | 10.1 | 1.6 |
Transport Equipment | 1,272,096 | 24.2 | 6.0 | 1.5 |
Motor Vehicles | 779,082 | 14.8 | 13.9 | 2.0 |
Cars | 685,023 | 13.0 | 16.1 | 2.0 |
Buses & Trucks | 89,078 | 1.7 | 7.5 | 0.1 |
Parts of Motor Vehicles | 235,011 | 4.8 | 7.7 | 0.4 |
Motorcycles | 28,770 | 0.5 | 25.3 | 0.1 |
Ships | 129,363 | 2.5 | -37.7 | -1.6 |
Other | 591,244 | 11.3 | 2.8 | 0.3 |
Imports | 8,042,855 | 100.0 | 25.0 | 25.0 |
Foodstuffs | 559,846 | 7.0 | 14.0 | 1.1 |
Raw Materials | 504,073 | 6.3 | 18.5 | 1.2 |
Mineral Fuels | 2,771,808 | 34.5 | 22.6 | 7.9 |
Chemicals | 604,441 | 7.5 | 16.6 | 1.3 |
Manufactured Goods | 625,060 | 7.8 | 29.0 | 2.2 |
Machinery | 646,044 | 8.0 | 37.4 | 2.7 |
Electrical Machinery | 1,050,429 | 13.1 | 33.7 | 4.1 |
Transport Equipment | 277,969 | 3.5 | 41.0 | 1.3 |
Other | 1,003,184 | 12.5 | 25.6 | 3.2 |
Source: Japan, Ministry of Finance http://www.customs.go.jp/toukei/info/index_e.htm
Table VB-10 provides Japan’s exports, imports and trade balance in five-year intervals from 1950 to 1975 and then yearly from 1979 to 2013. Exports grew at the average yearly rate of 3.4 percent while imports grew at 3.6 percent per year in the years from 1979 to 2013. Abstracting from the global recession and the Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011, exports grew at the average annual rate of 4.8 percent between 1979 and 2007 and imports at 4.0 percent. The global recession had a brutal impact on Japan’s trade. Exports fell 35.5 percent from 2007 to 2009 while imports fell 29.6 percent. Japan had the first trade deficit in 2011 since 1980 and the highest deficits in 2012 and 2013.
Table VB-10, Japan, Exports and Imports Calendar Year 1979-2010 Billion Yen
Years | Exports | Imports | Balance |
1950 | 298 | 348 | -50 |
1955 | 723 | 889 | -166 |
1960 | 1,459 | 1,616 | -157 |
1965 | 3,042 | 2,940 | 102 |
1970 | 6,954 | 6,797 | 157 |
1975 | 16,545 | 17,170 | -625 |
1979 | 22,531 | 24,245 | -1,714 |
1980 | 29,382 | 31,995 | -2,613 |
1981 | 33,468 | 31,464 | 2,004 |
1982 | 34,432 | 32,656 | 1,776 |
1983 | 34,909 | 30,014 | 4,895 |
1984 | 40,325 | 32,321 | 8,004 |
1985 | 41,955 | 31,084 | 10,871 |
1986 | 35,289 | 21,550 | 13,739 |
1987 | 33,315 | 21,736 | 11,579 |
1988 | 33,939 | 24,006 | 9,933 |
1989 | 37,822 | 28,978 | 8,844 |
1990 | 41,456 | 33,855 | 7,601 |
1991 | 42,359 | 31,900 | 10,459 |
1992 | 43,012 | 29,527 | 13,485 |
1993 | 40,202 | 26,826 | 13,376 |
1994 | 40,497 | 28,104 | 12,393 |
1995 | 41,530 | 31,548 | 9,982 |
1996 | 44,731 | 37,993 | 6,738 |
1997 | 50,937 | 40,956 | 9,981 |
1998 | 50,645 | 36,653 | 13,992 |
1999 | 47,547 | 35,268 | 12,279 |
2000 | 51,654 | 40,938 | 10,716 |
2001 | 48,979 | 42,415 | 6,564 |
2002 | 52,108 | 42,227 | 9,881 |
2003 | 54,548 | 44,362 | 10,186 |
2004 | 61,169 | 49,216 | 11,953 |
2005 | 65,656 | 56,949 | 8,707 |
2006 | 75,246 | 67,344 | 7,902 |
2007 | 83,931 | 73,135 | 10,796 |
2008 | 81,018 | 78,955 | 2,063 |
2009 | 54,170 | 51,499 | 2,671 |
2010 | 67,399 | 60,764 | 6,635 |
2011 | 65,546 | 68,111 | -2,565 |
2012 | 63,748 | 70,689 | -6,941 |
2013 | 69,788 | 81,267 | -11,479 |
Source: Japan, Ministry of Finance
http://www.customs.go.jp/toukei/info/index_e.htm
The geographical breakdown of exports and imports of Japan with selected regions and countries is provided in Table VB-11 for Jan 2014. The share of Asia in Japan’s trade is more than one-half for 51.5 percent of exports and 45.6 percent of imports. Within Asia, exports to China are 16.4 percent of total exports and imports from China 23.7 percent of total imports. While exports to China increased 13.1 percent in the 12 months ending in Jan 2014, imports from China increased 27.2 percent. The largest export market for Japan in Jan 2014 is the US with share of 15.5 percent of total exports, which is close to that of China, and share of imports from the US of 8.2 percent in total imports. Japan’s exports to the US grew 21.9 percent in the 12 months ending in Jan 2014 and imports from the US grew 25.9 percent. Western Europe has share of 11.8 percent in Japan’s exports and of 9.5 percent in imports. Rates of growth of exports of Japan in Jan 2014 are relatively high for several countries and regions with growth of 21.9 percent for exports to the US, 6.6 percent for exports to Brazil and 31.0 percent for exports to Germany. Comparisons relative to 2011 may have some bias because of the effects of the Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011. Deceleration of growth in China and the US and threat of recession in Europe can reduce world trade and economic activity. Growth rates of imports in the 12 months ending in Jan 2014 are positive for all trading partners. Imports from Asia increased 27.2 percent in the 12 months ending in Jan 2014 while imports from China increased 34.4 percent. Data are in millions of yen, which may have effects of recent depreciation of the yen relative to the United States dollar (USD).
Table VB-11, Japan, Value and 12-Month Percentage Changes of Exports and Imports by Regions and Countries, ∆% and Millions of Yen
Jan 2014 | Exports | 12 months ∆% | Imports Millions Yen | 12 months ∆% |
Total | 5,252,882 | 9.5 | 8,042,855 | 25.0 |
Asia | 2,702,690 | 5.8 | 3,669,120 | 27.2 |
China | 862,565 | 13.1 | 1,907,358 | 34.4 |
USA | 1,023,579 | 21.9 | 656,382 | 25.9 |
Canada | 64,763 | 3.7 | 88,666 | 0.0 |
Brazil | 38,084 | 6.6 | 100,655 | 8.2 |
Mexico | 72,503 | 14.5 | 35,975 | 9.8 |
Western Europe | 620,992 | 18.5 | 766,988 | 24.3 |
Germany | 159,764 | 31.0 | 228,694 | 36.3 |
France | 48,803 | 27.8 | 98,920 | 11.4 |
UK | 87,871 | -8.3 | 53,700 | 5.3 |
Middle East | 204,313 | 24.9 | 1,657,065 | 31.6 |
Australia | 110,155 | 15.2 | 476,640 | 21.9 |
Source: Japan, Ministry of Finance http://www.customs.go.jp/toukei/info/index_e.htm
Table VB-12 provides the trade balance of Japan by countries and regions in Jan 2014. The significantly large deficits of JPY 1,452,752 million with the Middle East, JPY 1,044,793 million with China, JPY 366,485 million with Australia and JPY 145,996 million with Western Europe do not compensate surpluses of JPY 376,197 million with the US, JPY 36,528 million with Mexico and JPY 34,171 million with the UK.
Table VB-12, Japan, Trade Balance, Millions of Yen
Jan 2014 | Millions of Yen |
Total | -2,789,973 |
Asia | -966,430 |
China | -1,044,793 |
USA | 376,197 |
Canada | -23,903 |
Brazil | -62,571 |
Mexico | 36,528 |
Western Europe | -145,996 |
Germany | -68,930 |
France | -50,117 |
UK | 34,171 |
Middle East | -1,452,752 |
Australia | -366,485 |
Source: Japan, Ministry of Finance
http://www.customs.go.jp/toukei/info/index_e.htm
VC China. China estimates an index of nonmanufacturing purchasing managers based on a sample of 1200 nonmanufacturing enterprises across the country (http://www.stats.gov.cn/english/pressrelease/t20121009_402841094.htm). Table CIPMNM provides this index and components. The total index increased from 55.7 in Mar 2012 to 58.0 in Mar 2012, decreasing to 53.9 in Aug 2013. The index decreased from 56.0 in Nov 2013 to 54.6 in Dec 2013, easing to 53.4 in Jan 2014. The index of new orders increased from 52.2 in Jan 2012 to 54.3 in Dec 2012 but fell to 50.1 in May 2013, barely above the neutral frontier of 50.0. The index of new orders stabilized at 51.0 in Nov-Dec 2013, easing to 50.9 in Jan 2014.
Table CIPMNM, China, Nonmanufacturing Index of Purchasing Managers, %, Seasonally Adjusted
Total Index | New Orders | Interm. | Subs Prices | Exp | |
Jan 2014 | 53.4 | 50.9 | 54.5 | 50.1 | 58.1 |
Dec 2013 | 54.6 | 51.0 | 56.9 | 52.0 | 58.7 |
Nov | 56.0 | 51.0 | 54.8 | 49.5 | 61.3 |
Oct | 56.3 | 51.6 | 56.1 | 51.4 | 60.5 |
Sep | 55.4 | 53.4 | 56.7 | 50.6 | 60.1 |
Aug | 53.9 | 50.9 | 57.1 | 51.2 | 62.9 |
Jul | 54.1 | 50.3 | 58.2 | 52.4 | 63.9 |
Jun | 53.9 | 50.3 | 55.0 | 50.6 | 61.8 |
May | 54.3 | 50.1 | 54.4 | 50.7 | 62.9 |
Apr | 54.5 | 50.9 | 51.1 | 47.6 | 62.5 |
Mar | 55.6 | 52.0 | 55.3 | 50.0 | 62.4 |
Feb | 54.5 | 51.8 | 56.2 | 51.1 | 62.7 |
Jan | 56.2 | 53.7 | 58.2 | 50.9 | 61.4 |
Dec 2012 | 56.1 | 54.3 | 53.8 | 50.0 | 64.6 |
Nov | 55.6 | 53.2 | 52.5 | 48.4 | 64.6 |
Oct | 55.5 | 51.6 | 58.1 | 50.5 | 63.4 |
Sep | 53.7 | 51.8 | 57.5 | 51.3 | 60.9 |
Aug | 56.3 | 52.7 | 57.6 | 51.2 | 63.2 |
Jul | 55.6 | 53.2 | 49.7 | 48.7 | 63.9 |
Jun | 56.7 | 53.7 | 52.1 | 48.6 | 65.5 |
May | 55.2 | 52.5 | 53.6 | 48.5 | 65.4 |
Apr | 56.1 | 52.7 | 57.9 | 50.3 | 66.1 |
Mar | 58.0 | 53.5 | 60.2 | 52.0 | 66.6 |
Feb | 57.3 | 52.7 | 59.0 | 51.2 | 63.8 |
Jan | 55.7 | 52.2 | 58.2 | 51.1 | 65.3 |
Notes: Interm.: Intermediate; Subs: Subscription; Exp: Business Expectations
Source: National Bureau of Statistics of China
http://www.stats.gov.cn/english/
Chart CIPMNM provides China’s nonmanufacturing purchasing managers’ index. The index fell from 56.1 in Dec 2012 to 53.9 in Jun 2013. The index recovered to 56.3 in Oct 2013, decreasing marginally to 54.6 in Dec 2013. The index fell to 43.4 in Jan 2014.
Chart CIPMNM, China, Nonmanufacturing Index of Purchasing Managers, Seasonally Adjusted
Source: National Bureau of Statistics of China
http://www.stats.gov.cn/english/
Table CIPMMFG provides the index of purchasing managers of manufacturing seasonally adjusted of the National Bureau of Statistics of China. The general index (IPM) rose from 50.5 in Jan 2012 to 53.3 in Apr 2012, falling to 49.2 in Aug 2012, rebounding to 50.6 in Dec 2012. The index fell to 50.1 in Jun 2013, barely above the neutral frontier at 50.0, recovering to 51.4 in Nov 2013 but falling to 51.0 in Dec 2013. The index fell to 50.5 in Jan 2014. The index of new orders fell from 57.2 in Apr 2012 to 52.0 in Dec 2012. The index of new orders fell from 54.5 in Nov 2013 to 53.9 in Dec 2013. The index fell to 53.0 in Jan 2014.
Table CIPMMFG, China, Manufacturing Index of Purchasing Managers, %, Seasonally Adjusted
IPM | PI | NOI | INV | EMP | SDEL | |
Jan 2014 | 50.5 | 53.0 | 50.9 | 47.8 | 48.2 | 49.8 |
Dec 2013 | 51.0 | 53.9 | 52.0 | 47.6 | 48.7 | 50.5 |
Nov | 51.4 | 54.5 | 52.3 | 47.8 | 49.6 | 50.6 |
Oct | 51.4 | 54.4 | 52.5 | 48.6 | 49.2 | 50.8 |
Sep | 51.1 | 52.9 | 52.8 | 48.5 | 49.1 | 50.8 |
Aug | 51.0 | 52.6 | 52.4 | 48.0 | 49.3 | 50.4 |
Jul | 50.3 | 52.4 | 50.6 | 47.6 | 49.1 | 50.1 |
Jun | 50.1 | 52.0 | 50.4 | 47.4 | 48.7 | 50.3 |
May | 50.8 | 53.3 | 51.8 | 47.6 | 48.8 | 50.8 |
Apr | 50.6 | 52.6 | 51.7 | 47.5 | 49.0 | 50.8 |
Mar | 50.9 | 52.7 | 52.3 | 47.5 | 49.8 | 51.1 |
Feb | 50.1 | 51.2 | 50.1 | 49.5 | 47.6 | 48.3 |
Jan | 50.4 | 51.3 | 51.6 | 50.1 | 47.8 | 50.0 |
Dec 2012 | 50.6 | 52.0 | 51.2 | 47.3 | 49.0 | 48.8 |
Nov | 50.6 | 52.5 | 51.2 | 47.9 | 48.7 | 49.9 |
Oct | 50.2 | 52.1 | 50.4 | 47.3 | 49.2 | 50.1 |
Sep | 49.8 | 51.3 | 49.8 | 47.0 | 48.9 | 49.5 |
Aug | 49.2 | 50.9 | 48.7 | 45.1 | 49.1 | 50.0 |
Jul | 50.1 | 51.8 | 49.0 | 48.5 | 49.5 | 49.0 |
Jun | 50.2 | 52.0 | 49.2 | 48.2 | 49.7 | 49.1 |
May | 50.4 | 52.9 | 49.8 | 45.1 | 50.5 | 49.0 |
Apr | 53.3 | 57.2 | 54.5 | 48.5 | 51.0 | 49.6 |
Mar | 53.1 | 55.2 | 55.1 | 49.5 | 51.0 | 48.9 |
Feb | 51.0 | 53.8 | 51.0 | 48.8 | 49.5 | 50.3 |
Jan | 50.5 | 53.6 | 50.4 | 49.7 | 47.1 | 49.7 |
IPM: Index of Purchasing Managers; PI: Production Index; NOI: New Orders Index; EMP: Employed Person Index; SDEL: Supplier Delivery Time Index
Source: National Bureau of Statistics of China
http://www.stats.gov.cn/english/
China estimates the manufacturing index of purchasing managers on the basis of a sample of 820 enterprises (http://www.stats.gov.cn/english/pressrelease/t20121009_402841094.htm). Chart CIPMMFG provides the manufacturing index of purchasing managers. The index fell to 50.1 in Feb 2013 and in Jun 2013. The index decreased from 51.4 in Nov 2013 to 51.0 in Dec 2013. The index fell to 50.5 in Jan 2014.
Chart CIPMMFG, China, Manufacturing Index of Purchasing Managers, Seasonally Adjusted
Source: National Bureau of Statistics of China
http://www.stats.gov.cn/english/
Cumulative growth of China’s GDP in IVQ2013 relative to the same period in 2012 was 7.7 percent, as shown in Table VC-GDP. Secondary industry accounts for 43.9 percent of GDP in IVQ2013. In IVQ2013, industry alone accounts for 37.0 percent in IVQ2013 and construction with the remaining 6.9 percent in the four quarters of 2013. Tertiary industry accounts for 46.1 percent of cumulative GDP in IVQ2013 and primary industry for 10.0 percent. China’s growth strategy consisted of rapid increases in productivity in industry to absorb population from agriculture where incomes are lower (Pelaez and Pelaez, The Global Recession Risk (2007), 56-80). The bottom block of Table VC-GDP provides quarter-on-quarter growth rates of GDP and their annual equivalent. China’s GDP growth decelerated significantly from annual equivalent 10.4 percent in IIQ2011 to 7.4 percent in IVQ2011 and 5.7 percent in IQ2012, rebounding to 8.7 percent in IIQ2012, 8.2 percent in IIIQ2012 and 7.8 percent in IVQ2012. Annual equivalent growth in IQ2013 fell to 6.1 percent and to 7.4 percent in IIQ2013, rebounding to 9.1 percent in IIIQ2013. Annual equivalent growth was 7.4 percent in IVQ2013.
Table VC-GDP, China, Quarterly Growth of GDP, Current CNY 100 Million and Inflation Adjusted ∆%
Cumulative GDP IIIQ2013 | Value Current CNY Billion | 2013 Year-on-Year Constant Prices ∆% |
GDP | 56,884.5 | 7.7 |
Primary Industry | 5,695.7 | 4.0 |
Farming | 5,695.7 | 4.0 |
Secondary Industry | 24,968.4 | 7.8 |
Industry | 21,068.9 | 7.6 |
Construction | 3899.5 | 9.5 |
Tertiary Industry | 26,220.4 | 8.3 |
Transport, Storage, Post | 2728.3 | 7.2 |
Wholesale, Retail Trades | 5,567.2 | 10.3 |
Hotel & Catering Services | 1149.4 | 5.3 |
Financial Intermediation | 3353.5 | 10.1 |
Real Estate | 3329.5 | 6.6 |
Other | 10,092.5 | 7.7 |
Growth in Quarter Relative to Prior Quarter | ∆% on Prior Quarter | ∆% Annual Equivalent |
2013 | ||
IVQ2013 | 1.8 | 7.4 |
IIIQ2013 | 2.2 | 9.1 |
IIQ2013 | 1.8 | 7.4 |
IQ2013 | 1.5 | 6.1 |
2012 | ||
IVQ2012 | 1.9 | 7.8 |
IIIQ2012 | 2.0 | 8.2 |
IIQ2012 | 2.1 | 8.7 |
IQ2012 | 1.4 | 5.7 |
2011 | ||
IVQ2011 | 1.8 | 7.4 |
IIIQ2011 | 2.2 | 9.1 |
IIQ2011 | 2.5 | 10.4 |
IQ2011 | 2.3 | 9.5 |
Source: National Bureau of Statistics of China http://www.stats.gov.cn/english/
Growth of China’s GDP in IVQ2013 relative to the same period in 2012 was 7.7 percent, as shown in Table VC-GDPA. Secondary industry accounts for 43.9 percent of GDP of which industry alone for 37.0 percent in cumulative IVQ2013 and construction with the remaining 6.9 percent in the four quarters of 2013. Tertiary industry accounts for 45.1 percent of GDP in the cumulative to IVQ2013 and primary industry for 10.0 percent. China’s growth strategy consisted of rapid increases in productivity in industry to absorb population from agriculture where incomes are lower (Pelaez and Pelaez, The Global Recession Risk (2007), 56-80). GDP growth decelerated from 12.1 percent in IQ2010 and 11.2 percent in IIQ2010 to 7.7 percent in IQ2013, 7.5 percent in IIQ2013 and 7.8 percent in IIIQ2013. GDP grew 7.7 percent in IVQ2013 relative to a year earlier and 1.8 percent relative to IIIQ2013, which is equivalent to 7.4 percent per year.
Table VC-GDPA, China, Growth Rate of GDP, ∆% Relative to a Year Earlier and ∆% Relative to Prior Quarter
IQ 2013 | IIQ 2013 | IIIQ 2013 | IVQ 2013 | |||||
GDP | 7.7 | 7.5 | 7.8 | 7.7 | ||||
Primary Industry | 3.4 | 3.0 | 3.4 | 4.0 | ||||
Secondary Industry | 7.8 | 7.6 | 7.8 | 7.8 | ||||
Tertiary Industry | 8.3 | 8.3 | 8.4 | 8.3 | ||||
GDP ∆% Relative to a Prior Quarter | 1.5 | 1.8 | 2.2 | 1.8 | ||||
IQ 2011 | IIQ 2011 | IIIQ 2011 | IVQ 2011 | IQ 2012 | IIQ 2012 | IIIQ 2012 | IVQ 2012 | |
GDP | 9.7 | 9.5 | 9.1 | 8.9 | 8.1 | 7.6 | 7.4 | 7.9 |
Primary Industry | 3.5 | 3.2 | 3.8 | 4.5 | 3.8 | 4.3 | 4.2 | 4.5 |
Secondary Industry | 11.1 | 11.0 | 10.8 | 10.6 | 9.1 | 8.3 | 8.1 | 8.1 |
Tertiary Industry | 9.1 | 9.2 | 9.0 | 8.9 | 7.5 | 7.7 | 7.9 | 8.1 |
GDP ∆% Relative to a Prior Quarter | 2.3 | 2.5 | 2.2 | 1.8 | 1.4 | 2.1 | 2.0 | 1.9 |
IQ 2010 | IIQ 2010 | IIIQ 2010 | IVQ 2010 | |||||
GDP | 12.1 | 11.2 | 10.7 | 12.1 | ||||
Primary Industry | 3.8 | 3.6 | 4.0 | 3.8 | ||||
Secondary Industry | 14.5 | 13.3 | 12.6 | 14.5 | ||||
Tertiary Industry | 10.5 | 9.9 | 9.7 | 10.5 |
Source: National Bureau of Statistics of China http://www.stats.gov.cn/english/
Chart VC-GDP of the National Bureau of Statistics of China provides annual value and growth rates of GDP. China’s GDP growth in 2012 is still high at 7.8 percent but at the lowest rhythm in five years.
Chart VC-GDP, China, Gross Domestic Product, Million Yuan and ∆%, 2008-2012
Source: National Bureau of Statistics of China http://www.stats.gov.cn/english/
The HSBC Flash China Manufacturing Purchasing Managers’ Index™ (PMI™) compiled by Markit (http://www.markiteconomics.com/Survey/PressRelease.mvc/f7b00646382b4353a878a645cbbebf9c) is slowing. The overall Flash HSBC China Manufacturing PMI™ decreased from 49.5 in Jan to 48.3 in Jan, which is the lowest in seven months, while the Flash HSBC China Manufacturing Output Index decreased from 50.8 in Jan to 49.2 in Feb, indicating moderate contraction. Hongbin Qu, Chief Economist, China and Co-Head of Asian Economic Research at HSBC, finds that the index is consistent with weakening manufacturing with policy required to maintain growth in the rest of the year (http://www.markiteconomics.com/Survey/PressRelease.mvc/f7b00646382b4353a878a645cbbebf9c). The HSBC China Services PMI™, compiled by Markit, shows marginal improvement in business activity in China with the HSBC Composite Output, combining manufacturing and services, decreasing from 51.2 in Dec to 50.8 in Jan, indicating moderate growth (http://www.markiteconomics.com/Survey/PressRelease.mvc/f1499939038f4e74b0144c13ac725218). Hongbin Qu, Chief Economist, China and Co-Head of Asian Economic Research at HSBC, finds need of faster manufacturing expansion to support growth (http://www.markiteconomics.com/Survey/PressRelease.mvc/f1499939038f4e74b0144c13ac725218). The HSBC Business Activity index decreased from 50.9 in Dec to 50.7 in Jan (http://www.markiteconomics.com/Survey/PressRelease.mvc/f1499939038f4e74b0144c13ac725218). Hongbin Qu, Chief Economist, China & Co-Head of Asian Economic Research at HSBC, finds that services could pick up in future months (http://www.markiteconomics.com/Survey/PressRelease.mvc/f1499939038f4e74b0144c13ac725218). The HSBC Purchasing Managers’ Index™ (PMI™), compiled by Markit, decreased marginally to 49.5 in Jan from 50.5 in Dec, indicating marginally deteriorating manufacturing (http://www.markiteconomics.com/Survey/PressRelease.mvc/c7b61a78e6454a91a38a5ab84e9846df). New export orders decreased for the second month with uncganged growth of total new orders. Hongbin Qu, Chief Economist, China and Co-Head of Asian Economic Research at HSBC, finds soft manufacturing in China with weakness in export orders and decelerating domestic demand (http://www.markiteconomics.com/Survey/PressRelease.mvc/c7b61a78e6454a91a38a5ab84e9846df). Table CNY provides the country data table for China.
Table CNY, China, Economic Indicators
Price Indexes for Industry | Jan 12-month ∆%: minus 1.6 Jan month ∆%: -0.1 |
Consumer Price Index | Jan month ∆%: 1.0 Jan 12 months ∆%: 2.5 |
Value Added of Industry | Dec month ∆%: 0.71 Jan-Dec 2013/Jan-Dec 2012 ∆%: 9.7 Dec 12-Month ∆%: 9.7 |
GDP Growth Rate | Year IVQ2013 ∆%: 7.7 |
Investment in Fixed Assets | Total Jan-Dec 2013 ∆%: 19.6 Real estate development: 19.8 |
Retail Sales | Dec month ∆%: 1.24 Jan-Dec ∆%: 13.1 |
Trade Balance | Jan balance $31.86 billion Cumulative Jan: $31.86 billion |
Links to blog comments in Table CNY:
2/16/14 http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.html
1/26/14 http://cmpassocregulationblog.blogspot.com/2014/01/capital-flows-exchange-rates-and.html
VD Euro Area. Table VD-EUR provides yearly growth rates of the combined GDP of the members of the European Monetary Union (EMU) or euro area since 1996. Growth was very strong at 3.3 percent in 2006 and 3.0 percent in 2007. The global recession had strong impact with growth of only 0.4 percent in 2008 and decline of 4.4 percent in 2009. Recovery was at lower growth rates of 2.0 percent in 2010 and 1.6 percent in 2011. EUROSTAT estimates growth of GDP of the euro area of minus 0.7 percent in 2012 and minus 0.4 percent in 2013 but 1.1 percent in 2014 and 1.7 percent in 2015.
Table VD-EUR, Euro Area, Yearly Percentage Change of Harmonized Index of Consumer Prices, Unemployment and GDP ∆%
Year | HICP ∆% | Unemployment | GDP ∆% |
1999 | 1.2 | 9.6 | 2.9 |
2000 | 2.2 | 8.7 | 3.8 |
2001 | 2.4 | 8.1 | 2.0 |
2002 | 2.3 | 8.5 | 0.9 |
2003 | 2.1 | 9.0 | 0.7 |
2004 | 2.2 | 9.3 | 2.2 |
2005 | 2.2 | 9.2 | 1.7 |
2006 | 2.2 | 8.5 | 3.3 |
2007 | 2.1 | 7.6 | 3.0 |
2008 | 3.3 | 7.6 | 0.4 |
2009 | 0.3 | 9.6 | -4.4 |
2010 | 1.6 | 10.1 | 2.0 |
2011 | 2.7 | 10.1 | 1.6 |
2012 | 2.5 | 11.4 | -0.7 |
2013* | 1.4 | 12.1 | -0.4 |
2014* | 1.1 | ||
2015* | 1.7 |
*EUROSTAT forecast Source: EUROSTAT
http://epp.eurostat.ec.europa.eu/portal/page/portal/eurostat/home/
http://epp.eurostat.ec.europa.eu/portal/page/portal/statistics/search_database
The GDP of the euro area in 2012 in current US dollars in the dataset of the World Economic Outlook (WEO) of the International Monetary Fund (IMF) is $12,199.1 billion or 16.9 percent of world GDP of $72,216.4 billion (http://www.imf.org/external/pubs/ft/weo/2012/02/weodata/index.aspx). The sum of the GDP of France $2613.9 billion with the GDP of Germany of $3429.5 billion, Italy of $2014.1 billion and Spain $1323.5 billion is $9381.0 billion or 76.9 percent of total euro area GDP and 13.0 percent of World GDP. The four largest economies account for slightly more than three quarters of economic activity of the euro area. Table VD-EUR1 is constructed with the dataset of EUROSTAT, providing growth rates of the euro area as a whole and of the largest four economies of Germany, France, Italy and Spain annually from 1996 to 2011 with the estimate of 2012 and forecasts for 2013, 2014 and 2015 by EUROSTAT. The impact of the global recession on the overall euro area economy and on the four largest economies was quite strong. There was sharp contraction in 2009 and growth rates have not rebounded to earlier growth with exception of Germany in 2010 and 2011.
Table VD-EUR1, Euro Area, Real GDP Growth Rate, ∆%
Euro Area | Germany | France | Italy | Spain | |
2015* | 1.7 | 1.9 | 1.7 | 1.2 | 1.7 |
2014* | 1.1 | 1.7 | 0.9 | 0.7 | 0.5 |
2013* | -0.4 | 0.5 | 0.2 | -1.8 | -1.3 |
2012 | -0.7 | 0.7 | 0.0 | -2.5 | -1.6 |
2011 | 1.6 | 3.3 | 2.0 | 0.5 | 0.1 |
2010 | 2.0 | 4.0 | 1.7 | 1.7 | -0.2 |
2009 | -4.4 | -5.1 | -3.1 | -5.5 | -3.8 |
2008 | 0.4 | 1.1 | -0.1 | -1.2 | 0.9 |
2007 | 3.0 | 3.3 | 2.3 | 1.7 | 3.5 |
2006 | 3.3 | 3.7 | 2.5 | 2.2 | 4.1 |
2005 | 1.7 | 0.7 | 1.8 | 0.9 | 3.6 |
2004 | 2.2 | 1.2 | 2.5 | 1.7 | 3.3 |
2003 | 0.7 | -0.4 | 0.9 | 0.0 | 3.1 |
2002 | 0.9 | 0.0 | 0.9 | 0.5 | 2.7 |
2001 | 2.0 | 1.5 | 1.8 | 1.9 | 3.7 |
2000 | 3.8 | 3.1 | 3.7 | 3.7 | 5.0 |
1999 | 2.9 | 1.9 | 3.3 | 1.5 | 4.7 |
1998 | 2.8 | 1.9 | 3.4 | 1.4 | 4.5 |
1997 | 2.6 | 1.7 | 2.2 | 1.9 | 3.9 |
1996 | 1.5 | 0.8 | 1.1 | 1.1 | 2.5 |
Source: EUROSTAT
http://epp.eurostat.ec.europa.eu/portal/page/portal/eurostat/home/
http://epp.eurostat.ec.europa.eu/portal/page/portal/statistics/search_database
The Flash Eurozone PMI Composite Output Index of the Markit Flash Eurozone PMI®, combining activity in manufacturing and services, decreased from 52.9 in Jan to 52.7 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/61e35865d2de4a309411277f211a1046). Chris Williamson, Chief Economist at Markit, finds that the Markit Flash Eurozone PMI index suggests that the index is consistent with growth of GDP as high as 0.5 percent in IQ2014 (http://www.markiteconomics.com/Survey/PressRelease.mvc/61e35865d2de4a309411277f211a1046). The Markit Eurozone PMI® Composite Output Index, combining services and manufacturing activity with close association with GDP, increased from 52.1 in Dec to 52.9 in Jan, which is the second highest since Jun 2011 (http://www.markiteconomics.com/Survey/PressRelease.mvc/8234c73e83714049a57e79337b91f438). Chris Williamson, Chief Economist at Markit, finds growth of GDP at 0.5 percent in IQ2014 if Jan activity is sustained (http://www.markiteconomics.com/Survey/PressRelease.mvc/8234c73e83714049a57e79337b91f438). The Markit Eurozone Services Business Activity Index increased from 52.1 in Dec to 52.9 in Jan (http://www.markiteconomics.com/Survey/PressRelease.mvc/8234c73e83714049a57e79337b91f438). The Markit Eurozone Manufacturing PMI® increased to 54.0 in Jan from 52.7 in Dec with the reading at the highest since May 2011 (http://www.markiteconomics.com/Survey/PressRelease.mvc/fa8005f424084e018d665383c341ef75). New orders increased and export orders grew at the fastest rate since Apr 2011. Chris Williamson, Chief Economist at Markit, finds industrial growth in the euro area at a quarterly rate exeeding 1.0 percent. (http://www.markiteconomics.com/Survey/PressRelease.mvc/fa8005f424084e018d665383c341ef75). Table EUR provides the data table for the euro area.
Table EUR, Euro Area Economic Indicators
GDP | IVQ2013 ∆% 0.3; IVQ2013/IVQ2012 ∆% 0.5 Blog 2/16/14 |
Unemployment | Dec 2013: 12.0 % unemployment rate; Dec 2013: 19.010 million unemployed Blog 2/2/14 |
HICP | Dec month ∆%: 0.3 12 months Dec ∆%: 0.8 |
Producer Prices | Euro Zone industrial producer prices Dec ∆%: 0.2 |
Industrial Production | Dec month ∆%: -0.7; Dec 12 months ∆%: 0.5 |
Retail Sales | Dec month ∆%: minus 1.6 |
Confidence and Economic Sentiment Indicator | Sentiment 100.9 Jan 2014 Consumer minus 11.7 Jan 2014 Blog 2/2/14 |
Trade | Jan-Dec 2013/Jan-Dec 2012 Exports ∆%: 0.8 Dec 2013 12-month Exports ∆% 3.8 Imports ∆% 1.0 |
Links to blog comments in Table EUR:
2/16/14 http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.html
2/9/14 http://cmpassocregulationblog.blogspot.com/2014/02/financial-instability-rules.html
2/2/14 http://cmpassocregulationblog.blogspot.com/2014/02/mediocre-cyclical-united-states.html
1/19/14 http://cmpassocregulationblog.blogspot.com/2014/01/world-inflation-waves-interest-rate.html
VE Germany. Table VE-DE provides yearly growth rates of the German economy from 1992 to 2012, price adjusted chain-linked and price and calendar-adjusted chain-linked. Germany’s GDP fell 5.1 percent in 2009 after growing below trend at 1.1 percent in 2008. Recovery has been robust in contrast with other advanced economies. The German economy grew at 4.0 percent in 2010, 3.3 percent in 2011 and 0.7 percent in 2012. Growth decelerated to 0.4 percent in 2013.
The Federal Statistical Agency of Germany analyzes the fall and recovery of the German economy (http://www.destatis.de/jetspeed/portal/cms/Sites/destatis/Internet/EN/Content/Statistics/VolkswirtschaftlicheGesamtrechnungen/Inlandsprodukt/Aktuell,templateId=renderPrint.psml):
“The German economy again grew strongly in 2011. The price-adjusted gross domestic product (GDP) increased by 3.0% compared with the previous year. Accordingly, the catching-up process of the German economy continued during the second year after the economic crisis. In the course of 2011, the price-adjusted GDP again exceeded its pre-crisis level. The economic recovery occurred mainly in the first half of 2011. In 2009, Germany experienced the most serious post-war recession, when GDP suffered a historic decline of 5.1%. The year 2010 was characterised by a rapid economic recovery (+3.7%).”
Table VE-DE, Germany, GDP Year ∆%
Price Adjusted Chain-Linked | Price- and Calendar-Adjusted Chain Linked | |
2013 | 0.4 | 0.5 |
2012 | 0.7 | 0.9 |
2011 | 3.3 | 3.4 |
2010 | 4.0 | 3.8 |
2009 | -5.1 | -5.1 |
2008 | 1.1 | 0.8 |
2007 | 3.3 | 3.4 |
2006 | 3.7 | 3.9 |
2005 | 0.7 | 0.8 |
2004 | 1.2 | 0.7 |
2003 | -0.4 | -0.4 |
2002 | 0.0 | 0.0 |
2001 | 1.5 | 1.6 |
2000 | 3.1 | 3.3 |
1999 | 1.9 | 1.8 |
1998 | 1.9 | 1.7 |
1997 | 1.7 | 1.8 |
1996 | 0.8 | 0.8 |
1995 | 1.7 | 1.8 |
1994 | 2.5 | 2.5 |
1993 | -1.0 | -1.0 |
1992 | 1.9 | 1.5 |
Source: Statistisches Bundesamt Deutschland (Destatis)
https://www.destatis.de/EN/PressServices/Press/pr/2014/02/PE14_048_811.html
https://www.destatis.de/EN/PressServices/Press/pr/2013/08/PE13_278_811.html https://www.destatis.de/EN/PressServices/Press/pr/2013/11/PE13_381_811.html
https://www.destatis.de/EN/PressServices/Press/pr/2014/01/PE14_016_811.html
The Flash Germany Composite Output Index of the Markit Flash Germany PMI®, combining manufacturing and services, increased from 55.5 in Jan to 56.1 in Feb for a 32-month high. The index of manufacturing output reached 657.6 in Feb, declining from a 33-month high of 60.4 in Jan, while the index of services increased to 55.4 in Feb from 53.1 in Jan. The overall Flash Germany Manufacturing PMI® decreased from 56.5 in Jan, which is a 32-month high, to 54.7 in Feb (http://www.markiteconomics.com/Survey/PressRelease.mvc/b85e0a161b9f4998be8a2378f57ab4af). New export work volumes increased at the second fastest pace in about three years with business originating in the US, Asia, Middle East, Poland and Russia. Oliver Kolodseike, Economist at Markit, finds expansion of Germany’s private sector at the fastest rate in 32 months (http://www.markiteconomics.com/Survey/PressRelease.mvc/b85e0a161b9f4998be8a2378f57ab4af). The Markit Germany Composite Output Index of the Markit Germany Services PMI®, combining manufacturing and services with close association with Germany’s GDP, increased from 55.0 in Dec to 55.5 in Jan (http://www.markiteconomics.com/Survey/PressRelease.mvc/2705803f88894a45939f4c46a6b60727). Oliver Kolodseike, Senior Economist at Markit and author of the report, finds improving expectations by German private sector companies with activity at the highest since Jun 2011 (http://www.markiteconomics.com/Survey/PressRelease.mvc/2705803f88894a45939f4c46a6b60727). The Germany Services Business Activity Index decreased from 53.5 in Dec to 53.1 in Jan (http://www.markiteconomics.com/Survey/PressRelease.mvc/2705803f88894a45939f4c46a6b60727). The Markit/BME Germany Purchasing Managers’ Index® (PMI®), showing close association with Germany’s manufacturing conditions, increased from 54.3 in Dec to 56.5 in Jan, in the best reading in thirty two months (http://www.markiteconomics.com/Survey/PressRelease.mvc/73deb353a6e84484975bd015f3774e0f). New export orders increased for the seventh consecutive month at accelerated rate with demand from Asia and the US. Oliver Kolodseike, Senior Economist at Markit and author of the report, finds the highest growth of manufacturing production and new orders in three years (http://www.markiteconomics.com/Survey/PressRelease.mvc/73deb353a6e84484975bd015f3774e0f).Table DE provides the country data table for Germany.
Table DE, Germany, Economic Indicators
GDP | IVQ2013 0.4 ∆%; IV/Q2013/IVQ2012 ∆% 1.3 2013/2012: 0.4% GDP ∆% 1992-2013 Blog 8/26/12 5/27/12 11/25/12 2/24/13 5/19/13 5/26/13 8/18/13 8/25/13 11/17/13 11/24/13 1/26/14 2/16/14 |
Consumer Price Index | Jan month NSA ∆%: -0.6 |
Producer Price Index | Jan month ∆%: -0.1 CSA, minus 0.4 |
Industrial Production | MFG Dec month CSA ∆%: minus 0.5 |
Machine Orders | MFG Dec month ∆%: -0.5 |
Retail Sales | Nov Month ∆% 0.8 12-Month ∆% 1.1 Blog 2/2/14 |
Employment Report | Unemployment Rate SA Dec 5.1% |
Trade Balance | Exports Dec 12-month NSA ∆%: 4.6 Blog 2/9/14 |
Links to blog comments in Table DE:
2/16/14 http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.html
2/9/14 http://cmpassocregulationblog.blogspot.com/2014/02/financial-instability-rules.html
2/2/14 http://cmpassocregulationblog.blogspot.com/2014/02/mediocre-cyclical-united-states.html
1/26/14 http://cmpassocregulationblog.blogspot.com/2014/01/capital-flows-exchange-rates-and.html
11/24/13 http://cmpassocregulationblog.blogspot.com/2013/11/risks-of-zero-interest-rates-world.html
11/17/13 http://cmpassocregulationblog.blogspot.com/2013/11/risks-of-unwinding-monetary-policy.html
8/25/13 http://cmpassocregulationblog.blogspot.com/2013/08/interest-rate-risks-duration-dumping.html
8/18/13 http://cmpassocregulationblog.blogspot.com/2013/08/duration-dumping-and-peaking-valuations.html
http://cmpassocregulationblog.blogspot.com/2013/07/twenty-nine-million-unemployed-or.html
5/26/13 http://cmpassocregulationblog.blogspot.com/2013/05/united-states-commercial-banks-assets.html
VF France. Table VF-FR provides growth rates of GDP of France with the estimates of Institut National de la Statistique et des Études Économiques (INSEE). The long-term rate of GDP growth of France from IVQ1949 to IVQ2012 is quite high at 3.2 percent. France’s growth rates were quite high in the four decades of the 1950s, 1960, 1970s and 1980s with an average growth rate of 4.0 percent compounding the average rates in the decades and discounting to one decade. The growth impulse diminished with 1.9 percent in the 1990s and 1.7 percent from 2000 to 2007. The average growth rate from 2000 to 2012, using fourth quarter data, is 1.0 percent because of the sharp impact of the global recession from IVQ2007 to IIQ2009. The growth rate from 2000 to 2012 is 1.0 percent. Cobet and Wilson (2002) provide estimates of output per hour and unit labor costs in national currency and US dollars for the US, Japan and Germany from 1950 to 2000 (see Pelaez and Pelaez, The Global Recession Risk (2007), 137-44). The average yearly rate of productivity change from 1950 to 2000 was 2.9 percent in the US, 6.3 percent for Japan and 4.7 percent for Germany while unit labor costs in USD increased at 2.6 percent in the US, 4.7 percent in Japan and 4.3 percent in Germany. From 1995 to 2000, output per hour increased at the average yearly rate of 4.6 percent in the US, 3.9 percent in Japan and 2.6 percent in Germany while unit labor costs in US fell at minus 0.7 percent in the US, 4.3 percent in Japan and 7.5 percent in Germany. There was increase in productivity growth in the G7 in Japan and France in the second half of the 1990s but significantly lower than the acceleration of 1.3 percentage points per year in the US. Lucas (2011May) compares growth of the G7 economies (US, UK, Japan, Germany, France, Italy and Canada) and Spain, finding that catch-up growth with earlier rates for the US and UK stalled in the 1970s.
Table VF-FR, France, Average Growth Rates of GDP Fourth Quarter, 1949-2012
Period | Average ∆% |
1949-2013 | 3.2 |
2000-2013 | 1.0 |
2000-2012 | 1.0 |
2000-2007 | 1.7 |
1990-1999 | 1.9 |
1980-1989 | 2.5 |
1970-1979 | 3.8 |
1960-1969 | 5.7 |
1950-1959 | 4.2 |
Source: Institut National de la Statistique et des Études Économiques
http://www.insee.fr/en/themes/info-rapide.asp?id=26&date=20140214
The Markit Flash France Composite Output Index decreased from 48.9 in Jan to 47.6 in Feb for a two-month low (http://www.markiteconomics.com/Survey/PressRelease.mvc/585c6448d40f4edc9370242b2832df48). Jack Kennedy, Senior Economist at Markit and author of the report, finds continuing economic weakness in the French private sector with favorable growth in manufacturing but moderate increase in new export orders (http://www.markiteconomics.com/Survey/PressRelease.mvc/585c6448d40f4edc9370242b2832df48). The Markit France Composite Output Index, combining services and manufacturing with close association with French GDP, increased from 47.3 in Dec to 48.9 in Jan, indicating milder contraction (http://www.markiteconomics.com/Survey/PressRelease.mvc/faa120777f894df7a50f2fa2ddbe02c4). Jack Kennedy, Senior Economist at Markit and author of the France Services PMI®, finds continuing weakness with log business confidence (http://www.markiteconomics.com/Survey/PressRelease.mvc/faa120777f894df7a50f2fa2ddbe02c4). The Markit France Services Activity index decreased from 48.0 in Nov to 47.9 in Dec (http://www.markiteconomics.com/Survey/PressRelease.mvc/faa120777f894df7a50f2fa2ddbe02c4). The Markit France Manufacturing Purchasing Managers’ Index® increased to 49.3 in Jan from 47.0 in Dec for the highest reading in four months (http://www.markiteconomics.com/Survey/PressRelease.mvc/dc5e49104c5147e089d08e7351a59309). Jack Kennedy, Senior Economist at Markit and author of the France Manufacturing PMI®, finds slower decline of output (http://www.markiteconomics.com/Survey/PressRelease.mvc/dc5e49104c5147e089d08e7351a59309). Table FR provides the country data table for France.
Table FR, France, Economic Indicators
CPI | Jan month ∆% -0.6 |
PPI | Dec month ∆%: 0.2 Blog 2/2/14 |
GDP Growth | IVQ2013/IIIQ2013 ∆%:0.3 |
Industrial Production | Dec ∆%: |
Consumer Spending | Manufactured Goods |
Employment | Unemployment Rate: IIIQ2013 10.5% |
Trade Balance | Dec Exports ∆%: month 3.5, 12 months -0.5 Dec Imports ∆%: month 1.9, 12 months -1.3 Blog 2/9/14 |
Confidence Indicators | Historical averages 100 Jan Mfg Business Climate 100 Blog 1/26/14 |
Links to blog comments in Table FR:
2/16/14 http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.html
2/9/14 http://cmpassocregulationblog.blogspot.com/2014/02/financial-instability-rules.html
2/2/14 http://cmpassocregulationblog.blogspot.com/2014/02/mediocre-cyclical-united-states.html
1/26/14 http://cmpassocregulationblog.blogspot.com/2014/01/capital-flows-exchange-rates-and.html
12/29/13 http://cmpassocregulationblog.blogspot.com/2013/12/collapse-of-united-states-dynamism-of.html
12/8/13 http://cmpassocregulationblog.blogspot.com/2013/12/exit-risks-of-zero-interest-rates-world.html
11/17/13 http://cmpassocregulationblog.blogspot.com/2013/11/risks-of-unwinding-monetary-policy.html
9/29/13 http://cmpassocregulationblog.blogspot.com/2013/09/mediocre-and-decelerating-united-states.html
6/30/13 http://cmpassocregulationblog.blogspot.com/2013/06/tapering-quantitative-easing-policy-and.html
5/19/13 http://cmpassocregulationblog.blogspot.com/2013/05/word-inflation-waves-squeeze-of.html
VG Italy. Table VG-IT provides percentage changes in a quarter relative to the same quarter a year earlier of Italy’s expenditure components in chained volume measures. GDP has been declining at sharper rates from minus 0.6 percent in IVQ2011 to minus 3.0 percent in IVQ2012, minus 2.5 percent in IQ2013, minus 2.2 percent in IIQ2013 and minus 1.8 percent in IIIQ2013. The aggregate demand components of consumption and gross fixed capital formation (GFCF) have been declining at faster rates. The rates of decline of GDP, consumption and GFCF were somewhat milder in IIIQ2013, IIQ2013 than in IQ2013 and the final three quarters of 2012.
Table VG-IT, Italy, GDP and Expenditure Components, Chained Volume Measures, Quarter ∆% on Same Quarter Year Earlier
GDP | Imports | Consumption | GFCF | Exports | |
2013 | |||||
IVQ | -0.8 | ||||
IIIQ | -1.9 | -1.2 | -1.5 | -5.1 | 0.0 |
IIQ | -2.3 | -4.7 | -2.5 | -5.8 | 0.2 |
IQ | -2.6 | -4.8 | -2.6 | -7.3 | -0.6 |
2012 | |||||
IVQ | -3.0 | -6.9 | -4.0 | -8.1 | 0.8 |
IIIQ | -2.8 | -7.5 | -4.1 | -8.7 | 1.8 |
IIQ | -2.6 | -7.3 | -3.6 | -8.8 | 2.1 |
IQ | -1.7 | -8.2 | -3.4 | -8.1 | 2.8 |
2011 | |||||
IVQ | -0.6 | -6.8 | -2.0 | -3.8 | 3.5 |
IIIQ | 0.5 | 0.5 | -1.0 | -2.4 | 6.0 |
IIQ | 1.1 | 3.7 | 0.4 | -0.7 | 7.5 |
IQ | 1.4 | 9.1 | 0.7 | 0.6 | 11.0 |
2010 | |||||
IVQ | 2.3 | 15.6 | 1.1 | 1.3 | 13.4 |
IIIQ | 1.8 | 13.2 | 1.3 | 2.4 | 12.1 |
IIQ | 1.8 | 13.4 | 0.8 | 0.9 | 12.0 |
IQ | 0.9 | 7.0 | 1.0 | -2.4 | 7.1 |
2009 | |||||
IVQ | -3.5 | -6.3 | 0.2 | -8.2 | -9.3 |
IIIQ | -5.0 | -12.2 | -0.8 | -12.6 | -16.4 |
IIQ | -6.6 | -17.9 | -1.4 | -13.6 | -21.4 |
IQ | -6.9 | -17.2 | -1.8 | -12.4 | -22.8 |
2008 | |||||
IVQ | -3.0 | -8.2 | -0.9 | -8.3 | -10.3 |
IIIQ | -1.9 | -5.0 | -0.8 | -4.5 | -3.9 |
IIQ | -0.2 | -0.1 | -0.3 | -1.5 | 0.4 |
IQ | 0.5 | 1.7 | 0.1 | -1.0 | 2.9 |
GFCF: Gross Fixed Capital Formation
Source: Istituto Nazionale di Statistica
http://www.istat.it/it/archivio/106657
The Markit/ADACI Business Activity Index increased from 47.9 in Dec to 49.4 in Jan (http://www.markiteconomics.com/Survey/PressRelease.mvc/5f7e4ddd86a940cf8aacf02d30fb724a). Phil Smith, Economist at Markit and author of the Italy Services PMI®, finds the index suggesting services is not restraining overall activity (http://www.markiteconomics.com/Survey/PressRelease.mvc/5f7e4ddd86a940cf8aacf02d30fb724a). The Markit/ADACI Purchasing Managers’ Index® (PMI®), decreased marginally from 53.3 in Dec to 53.1 in Jan for continuing growth (http://www.markiteconomics.com/Survey/PressRelease.mvc/96b0cc2204e6440b8bf31f7575c03bd8). New export orders grew around the trend of the fastest rate in 32 months in Nov and Dec. Phil Smith, Economist at Markit and author of the Italian Manufacturing PMI®, finds the best conditions in more than two-and-a-half years with continuing concern on the margins of sales prices relative to input costs (http://www.markiteconomics.com/Survey/PressRelease.mvc/96b0cc2204e6440b8bf31f7575c03bd8). Table IT provides the country data table for Italy.
Table IT, Italy, Economic Indicators
Consumer Price Index | Jan month ∆%: 0.2 |
Producer Price Index | Dec month ∆%: -0.1 Blog 2/2/14 |
GDP Growth | IVQ2013/IIIQ2013 SA ∆%: 0.1 |
Labor Report | Dec 2013 Participation rate 63.5% Employment ratio 55.3% Unemployment rate 12.7% Youth Unemployment 41.6% Blog 2/2/14 |
Industrial Production | Dec month ∆%: -0.9 |
Retail Sales | Dec month ∆%: 0.0 Dec 12-month ∆%: 0.1 Blog 1/26/13 |
Business Confidence | Mfg Jan 97.7, Sep 96.8 Construction Jan 76.5, Sep 79.0 Blog 2/2/14 |
Trade Balance | Balance Dec SA €3617 million versus Nov €3034 |
Links to blog comments in Table IT:
2/16/14 http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.html
2/9/14 http://cmpassocregulationblog.blogspot.com/2014/02/financial-instability-rules.html
2/2/14 http://cmpassocregulationblog.blogspot.com/2014/02/mediocre-cyclical-united-states.html
1/26/14 http://cmpassocregulationblog.blogspot.com/2014/01/capital-flows-exchange-rates-and.html
12/15/13 http://cmpassocregulationblog.blogspot.com/2013/12/theory-and-reality-of-secular.html
11/17/13 http://cmpassocregulationblog.blogspot.com/2013/11/risks-of-unwinding-monetary-policy.html
9/15/13 http://cmpassocregulationblog.blogspot.com/2013/09/recovery-without-hiring-ten-million.html
8/11/13 http://cmpassocregulationblog.blogspot.com/2013/08/recovery-without-hiring-loss-of-full.html
6/16/13 http://cmpassocregulationblog.blogspot.com/2013/06/recovery-without-hiring-seven-million.html
3/17/13 http://cmpassocregulationblog.blogspot.com/2013/03/recovery-without-hiring-ten-million.html
Exports and imports of Italy and monthly growth rates SA are in Table VG-1. There have been significant fluctuations. Seasonally adjusted exports increased 5.1 percent in Dec 2013 while imports increased 3.6 percent. The SA trade balance increased from surplus of €3034 million in Nov 2013 to surplus of €3167 million in Dec 2013.
Table VG-1, Italy, Exports, Imports and Trade Balance SA Million Euros and Month SA ∆%
Exports | ∆% | Imports | ∆% | Balance | |
2011 | |||||
IQ | 92,633 | 4.6 | 101,975 | 3.0 | -9,342 |
IIQ | 95,086 | 2.6 | 102,563 | 0.6 | -7,477 |
IIIQ | 95,045 | 0.0 | 101,118 | -1.4 | -6,073 |
IVQ | 95,383 | 0.4 | 97,810 | -3.3 | -2,427 |
2012 | |||||
IQ | 96,266 | 0.9 | 96,885 | -0.9 | -619 |
IIQ | 97,777 | 1.6 | 96,235 | -0.7 | 1,542 |
IIIQ | 99,149 | 1.4 | 95,906 | -0.3 | 3,243 |
IVQ | 98,116 | -1.0 | 92,999 | -3.0 | 5,117 |
2013 | |||||
IQ | 97,673 | -0.5 | 91,523 | -1.6 | 6,150 |
IIQ | 97,886 | 0.2 | 89,301 | -2.4 | 8,585 |
IIIQ | 97,903 | 0.0 | 90,765 | 1.6 | 7,138 |
IVQ | 98,788 | 0.9 | 89,199 | -1.7 | 9,589 |
2011 | |||||
Dec | 32,628 | 3.1 | 32,053 | -3.2 | 575 |
2012 | |||||
Jan | 31,798 | -2.5 | 32,356 | 0.9 | -558 |
Feb | 32,062 | 0.8 | 32,676 | 1.0 | -614 |
Mar | 32,406 | 1.1 | 31,853 | -2.5 | 553 |
Apr | 32,436 | 0.1 | 32,647 | 2.5 | -211 |
May | 33,058 | 1.9 | 32,825 | 0.5 | 233 |
Jun | 32,283 | -2.3 | 30,763 | -6.3 | 1,520 |
Jul | 32,930 | 2.0 | 31,934 | 3.8 | 996 |
Aug | 33,561 | 1.9 | 32,834 | 2.8 | 727 |
Sep | 32,658 | -2.7 | 31,138 | -5.2 | 1,520 |
Oct | 32,822 | 0.5 | 31,437 | 1.0 | 1,385 |
Nov | 33,009 | 0.6 | 31,078 | -1.1 | 1,931 |
Dec | 32,285 | -2.2 | 30,484 | -1.9 | 1,801 |
2013 | |||||
Jan | 33,116 | 2.6 | 31,212 | 2.4 | 1,904 |
Feb | 32,096 | -3.1 | 30,123 | -3.5 | 1,973 |
Mar | 32,461 | 1.1 | 30,188 | 0.2 | 2,273 |
Apr | 32,380 | -0.2 | 29,724 | -1.5 | 2,656 |
May | 32,570 | 0.6 | 29,581 | -0.5 | 2,989 |
Jun | 32,936 | 1.1 | 29,996 | 1.4 | 2,940 |
Jul | 32,262 | -2.0 | 30,016 | 0.1 | 2,246 |
Aug | 32,714 | 1.4 | 30,103 | 0.3 | 2,611 |
Sep | 32,927 | 0.7 | 30,646 | 1.8 | 2,281 |
Oct | 32,748 | -0.5 | 29,810 | -2.7 | 2,938 |
Nov | 32,202 | -1.7 | 29,168 | -2.2 | 3,034 |
Dec | 33,838 | 5.1 | 30,221 | 3.6 | 3,617 |
Source: Istituto Nazionale di Statistica
http://www.istat.it/it/archivio/112780
Italy’s trade account not seasonally adjusted is in Table VG-2. Values are different because the data are original and not adjusted. Exports increased 4.9 percent in the 12 months ending in Dec 2013 while imports increased 0.6 percent with actual trade surplus of €3618 million. Twelve-month rates of growth picked up again in Aug 2011 with 15.2 percent for exports and 12.6 percent for imports. In Sep 2011, exports grew 10.2 percent relative to a year earlier while imports grew only 3.6 percent. In Oct 2011, exports grew 4.5 percent while imports fell 0.2 percent. In Nov 2011, exports grew 6.5 percent in 12 months while imports grew 0.5 percent. Exports continued to growth of 7.9 percent in the 12 months ending in Aug 2012 while imports fell 1.8 percent. The actual or not seasonally adjusted trade balance deficit fell from €2948 million in Aug 2011 to surplus of €1407 million in Dec 2011 but turned into deficit of €4691 million in Jan 2012. The deficit improved to lower deficit of €1311 million in Feb 2012 and surplus of €1831 million in Mar 2012, returning to deficit of €421 million in Apr and surplus of €833 million in May. In Jun 2012, the actual surplus was €2681 million and then €4673 million in Jul 2012, which was the highest in 2012 but deteriorated to actual deficit of €535 million in Aug 2012. Exports fell 20.9 percent and imports 22.1 percent during the global recession in 2009. Growth of exports of 12.2 percent in the 12 months ending in Oct 2012 while imports increased 1.4 percent increased the trade surplus to €2337 million. The trade surplus was €2314 million in Dec 2012 with growth of exports of minus 4.5 percent in 12 months while imports fell 7.8 percent. The trade balance deteriorated to deficit of €1810 million in Jan 2013 even with growth of exports of 8.9 percent in 12 months while imports fell 1.4 percent. The trade balance returned to surplus of €1045 million in Feb 2013 with decline of exports by 2.9 percent and decrease of exports by 9.9 percent. The surplus widened to €3081 million in Mar 2013 with exports declining 6.1 percent and imports falling 10.1 percent. The surplus shrank to €2005 million in Apr 2013 with growth of exports of 4.4 and decline of imports of 3.5 percent. The surplus increased to €3894 million in May 2013 with declines of exports of 1.9 percent and of imports of 10.8 percent. The surplus declined to €3542 million in Jun 2013 with decline of exports of 3.3 percent in 12 months and of imports of 6.3 percent.
Table VG-2, Italy, Exports, Imports and Trade Balance NSA Million Euros and Year-on-Year ∆%
Exports | ∆% | Imports | ∆% | Balance | |
2010 | 337,346 | 15.6 | 367,390 | 23.4 | -30,044 |
2011 | 375,904 | 11.4 | 401,428 | 9.3 | -25,524 |
2012 | 390,182 | 3.8 | 380,292 | -5.3 | 9,890 |
2010 | |||||
IQ | 76,310 | 7.5 | 85,238 | 12.1 | -8,928 |
IIQ | 85,783 | 17.6 | 92,633 | 27.1 | -6,850 |
IIIQ | 84,334 | 18.1 | 89,622 | 27.0 | -5,288 |
IVQ | 90,918 | 27.3 | 99,897 | 31.4 | -8,979 |
2011 | |||||
IQ | 90,128 | 18.1 | 103,760 | 21.7 | -13,632 |
IIQ | 97,274 | 13.4 | 104,303 | 12.6 | -7,029 |
IIIQ | 92,567 | 9.8 | 96,138 | 7.3 | -3,571 |
IVQ | 95,935 | 5.5 | 97,227 | -2.7 | -1,292 |
2012 | |||||
IQ | 95,398 | 5.8 | 99,568 | -4.0 | -4,170 |
IIQ | 100,172 | 3.0 | 97,079 | -6.9 | 3,093 |
IIIQ | 94,938 | 2.6 | 90,670 | -5.7 | 4,268 |
IVQ | 99,674 | 3.9 | 92,975 | -4.4 | 6,699 |
2013 | |||||
IQ | 94,695 | -0.7 | 92,379 | -7.2 | 2,316 |
IIQ | 99,724 | -0.4 | 90,283 | -7.0 | 9441 |
IIIQ | 95,094 | 0.2 | 87,209 | -3.8 | 7,885 |
IVQ | 100,272 | 0.6 | 89,507 | -3.7 | 10,765 |
2011 | |||||
Dec | 31,364 | 5.6 | 29,957 | -8.5 | 1,407 |
2012 | |||||
Jan | 27,476 | 5.0 | 32,167 | -1.2 | -4,691 |
Feb | 31,817 | 7.4 | 33,128 | 1.4 | -1,311 |
Mar | 36,105 | 5.1 | 34,274 | -11.0 | 1,831 |
Apr | 30,548 | -1.7 | 30,969 | -8.8 | -421 |
May | 35,232 | 5.0 | 34,399 | -4.1 | 833 |
Jun | 34,392 | 5.3 | 31,711 | -8.0 | 2,681 |
Jul | 37,190 | 5.3 | 32,517 | -4.5 | 4,673 |
Aug | 26,166 | 7.9 | 26,701 | -1.8 | -535 |
Sep | 31,583 | -4.3 | 31,452 | -9.8 | 131 |
Oct | 36,037 | 12.2 | 33,700 | 1.4 | 2,337 |
Nov | 33,688 | 3.8 | 31,641 | -7.0 | 2,047 |
Dec | 29,948 | -4.5 | 27,634 | -7.8 | 2,314 |
2013 | |||||
Jan | 29,913 | 8.9 | 31,723 | -1.4 | -1,810 |
Feb | 30,884 | -2.9 | 29,839 | -9.9 | 1,045 |
Mar | 33,897 | -6.1 | 30,816 | -10.1 | 3,081 |
Apr | 31,878 | 4.4 | 29,873 | -3.5 | 2,005 |
May | 34,576 | -1.9 | 30,682 | -10.8 | 3,894 |
Jun | 33,270 | -3.3 | 29,728 | -6.3 | 3,542 |
Jul | 38,136 | 2.5 | 32,156 | -1.1 | 5,980 |
Aug | 24,741 | -5.4 | 23,667 | -11.4 | 1,074 |
Sep | 32,217 | 2.0 | 31,386 | -0.2 | 831 |
Oct | 36,330 | 0.8 | 32,271 | -4.2 | 4,059 |
Nov | 32,538 | -3.4 | 29,450 | -6.9 | 3,088 |
Dec | 31,404 | 4.9 | 27,786 | 0.6 | 3,618 |
Source: Istituto Nazionale di Statistica
http://www.istat.it/it/archivio/112780
Growth rates of Italy’s trade and major products are in Table VG-3 for the period Jan-Dec 2013 relative to Jan-Dec 2012. Growth rates of cumulative imports relative to a year earlier are negative for energy with minus 15.6 percent. Exports of durable goods grew 1.9 percent and exports of capital goods increased 2.0 percent. The higher rate of growth of exports of minus 0.1 percent in Jan-Dec 2013/Jan-Dec 2012 relative to imports of minus 5.5 percent may reflect weak demand in Italy with GDP declining during nine consecutive quarters from IIIQ2011 through IIIQ2013 together with softening commodity prices. GDP increased marginally 0.1 percent in IVQ2013.
Table VG-3, Italy, Exports and Imports % Share of Products in Total and ∆%
Exports | Exports | Imports | Imports | |
Consumer | 29.3 | 5.9 | 25.6 | 0.9 |
Durable | 5.8 | 1.9 | 2.9 | -7.9 |
Non-Durable | 23.5 | 6.8 | 22.6 | 2.0 |
Capital Goods | 31.6 | 2.0 | 19.8 | -2.8 |
Inter- | 33.6 | -3.9 | 32.4 | -5.2 |
Energy | 5.5 | -20.4 | 22.2 | -15.6 |
Total ex Energy | 94.5 | 1.1 | 77.8 | -2.6 |
Total | 100.0 | -0.1 | 100.0 | -5.5 |
Note: % Share for 2012 total trade.
Source: Istituto Nazionale di Statistica
http://www.istat.it/it/archivio/112780
Table VG-4 provides Italy’s trade balance by product categories in Dec 2013 and cumulative Jan-Dec 2013. Italy’s trade balance excluding energy, generated surplus of €7911 million in Dec 2013 and €84,780 million cumulative in Jan-Dec 2013 but the energy trade balance created deficit of €4294 million in Dec 2013 and cumulative €54,373 million in Jan-Dec 2013. The overall surplus in Dec 2013 was €3618 million with cumulative surplus of €30,407 million in Jan-Dec 2013. Italy has significant competitiveness in various economic activities in contrast with some other countries with debt difficulties.
Table VG-4, Italy, Trade Balance by Product Categories, € Millions
Dec 2013 | Cumulative Jan-Dec 2013 | |
Consumer Goods | 2,010 | 22,950 |
Durable | 1,080 | 12,889 |
Nondurable | 930 | 10,061 |
Capital Goods | 4,973 | 52,769 |
Intermediate Goods | 929 | 9,062 |
Energy | -4,294 | -54,373 |
Total ex Energy | 7,911 | 84,780 |
Total | 3,618 | 30,407 |
Source: Istituto Nazionale di Statistica
http://www.istat.it/it/archivio/112780
Resolution of the European sovereign debt crisis with survival of the euro area would require success in the restructuring of Italy. Growth of the Italian economy would assure that success. A critical problem is that the common euro currency prevents Italy from devaluing the exchange to parity or the exchange rate that would permit export growth to promote internal economic activity, which could generate fiscal revenues for primary fiscal surpluses that ensure creditworthiness.
Professors Ricardo Caballero and Francesco Giavazzi (2012Jan15) find that the resolution of the European sovereign crisis with survival of the euro area would require success in the restructuring of Italy. Growth of the Italian economy would ensure that success. A critical problem is that the common euro currency prevents Italy from devaluing the exchange rate to parity or the exchange rate that would permit export growth to promote internal economic activity, which could generate fiscal revenues for primary fiscal surpluses that ensure creditworthiness. Fiscal consolidation and restructuring are important but of long-term gestation. Immediate growth of the Italian economy would consolidate the resolution of the sovereign debt crisis. Caballero and Giavazzi (2012Jan15) argue that 55 percent of the exports of Italy are to countries outside the euro area such that devaluation of 15 percent would be effective in increasing export revenue. Newly available data in Table VG-5 providing Italy’s trade with regions and countries supports the argument of Caballero and Giavazzi (2012Jan15). Italy’s exports to the European Monetary Union (EMU), or euro area, are only 40.6 percent of the total in Jan-Dec 2013. Exports to the non-European Union area with share of 45.7 percent in Italy’s total exports are growing at 1.3 percent in Jan-Dec 2013 relative to Jan-Dec 2012 while those to EMU are growing at minus 2.3 percent.
Table VG-5, Italy, Exports and Imports by Regions and Countries, % Share and 12-Month ∆%
Dec 2013 | Exports | ∆% Jan-Dec 2013/ Jan-Dec 2012 | Imports | ∆% Jan-Dec 2013/ Jan-Dec 2012 |
EU | 54.3 | -1.2 | 53.3 | -2.0 |
EMU 17 | 40.6 | -2.3 | 42.7 | -2.1 |
France | 11.1 | -2.4 | 8.3 | -4.0 |
Germany | 12.5 | -0.9 | 14.5 | -4.0 |
Spain | 4.7 | -6.4 | 4.5 | -4.7 |
UK | 4.9 | 3.3 | 2.6 | -1.5 |
Non EU | 45.7 | 1.3 | 46.7 | -9.5 |
Europe non EU | 13.4 | -3.2 | 10.9 | 5.1 |
USA | 6.8 | 1.4 | 3.3 | -8.8 |
China | 2.3 | 9.5 | 6.6 | -7.5 |
OPEC | 5.7 | 6.2 | 10.8 | -29.3 |
Total | 100.0 | -0.1 | 100.0 | -5.5 |
Notes: EU: European Union; EMU: European Monetary Union (euro zone)
Source: Istituto Nazionale di Statistica
http://www.istat.it/it/archivio/112780
Table VG-6 provides Italy’s trade balance by regions and countries. Italy had trade deficit of €908 million with the 17 countries of the euro zone (EMU 17) in Dec 2013 and cumulative deficit of €4553 million in Jan-Dec 2013. Depreciation to parity could permit greater competitiveness in improving the trade surplus of €7119 million in Jan-Dec 2013 with Europe non-European Union, the trade surplus of €15,482 million with the US and trade surplus with non-European Union of €19,997 million in Jan-Dec 2013. There is significant rigidity in the trade deficits in Jan-Dec 2013 of €13,283 million with China and €5630 million with members of the Organization of Petroleum Exporting Countries (OPEC). Higher exports could drive economic growth in the economy of Italy that would permit less onerous adjustment of the country’s fiscal imbalances, raising the country’s credit rating.
Table VG-6, Italy, Trade Balance by Regions and Countries, Millions of Euro
Regions and Countries | Trade Balance Dec 2013 Millions of Euro | Trade Balance Cumulative Jan-Dec 2013 Millions of Euro |
EU | 205 | 10,410 |
EMU 17 | -908 | -4,553 |
France | 746 | 11,894 |
Germany | -646 | -4,519 |
Spain | 106 | 970 |
UK | 781 | 10,022 |
Non EU | 3,413 | 19,997 |
Europe non EU | -112 | 7,119 |
USA | 1,435 | 15,482 |
China | -855 | -13,283 |
OPEC | 460 | -5,630 |
Total | 3,618 | 30,407 |
Notes: EU: European Union; EMU: European Monetary Union (euro zone)
Source: Istituto Nazionale di Statistica
http://www.istat.it/it/archivio/112780
VH United Kingdom. Annual data in Table VH-UK show the strong impact of the global recession in the UK with decline of GDP of 5.2 percent in 2009 after dropping 0.8 percent in 2008. Recovery of 1.7 percent in 2010 is relatively low in comparison with annual growth rates in 2007 and earlier years. Growth was only 1.1 percent in 2011 and 0.3 percent in 2012. Growth increased to 1.9 percent in 2013. The bottom part of Table VH-UK provides average growth rates of UK GDP since 1948. The UK economy grew at 2.6 percent per year on average between 1948 and 2013, which is relatively high for an advanced economy. The growth rate of GDP between 2000 and 2007 is higher at 3.0 percent. Growth in the current cyclical expansion has been only at 1.0 percent as advanced economies struggle with weak internal demand and world trade. GDP in 2013 was lower by 1.2 percent relative to 2007.
Table VH-UK, UK, Gross Domestic Product, ∆%
∆% on Prior Year | |
1998 | 3.6 |
1999 | 2.9 |
2000 | 4.4 |
2001 | 2.2 |
2002 | 2.3 |
2003 | 3.9 |
2004 | 3.2 |
2005 | 3.2 |
2006 | 2.8 |
2007 | 3.4 |
2008 | -0.8 |
2009 | -5.2 |
2010 | 1.7 |
2011 | 1.1 |
2012 | 0.3 |
2013 | 1.9 |
Average Growth Rates ∆% per Year | |
1948-2013 | 2.6 |
1950-1959 | 2.7 |
1960-1969 | 3.3 |
1970-1979 | 2.5 |
1980-1989 | 3.2 |
1990-1999 | 2.9 |
2000-2007 | 3.0 |
2007-2012* | -3.0 |
2007-2013* | -1.2 |
2000-2013 | 1.5 |
*Absolute change from 2007 to 2012
Source: UK Office for National Statistics
http://www.ons.gov.uk/ons/rel/gva/gross-domestic-product--preliminary-estimate/q4-2013/index.html
The Business Activity Index of the Markit/CIPS UK Services PMI® decreased from 58.8 in Dec to 58.3 in Jan, which is still close to high historical levels and above long-term trend (http://www.markiteconomics.com/Survey/PressRelease.mvc/06f532c69fb148b9a4f74c23bf3d1f27). Chris Williamson, Chief Economist at Markit, finds the combined indices consistent with the UK economy growing at 0.8 percent in IVQ2014 (http://www.markiteconomics.com/Survey/PressRelease.mvc/06f532c69fb148b9a4f74c23bf3d1f27). The Markit/CIPS UK Manufacturing Purchasing Managers’ Index® (PMI®) decreased to 56.7 in Jan from 57.2 in Dec with continuing strength close to the highest reading since Feb 2011 (http://www.markiteconomics.com/Survey/PressRelease.mvc/1961e83a75274808a59a2fdff2cf4579). New export orders increased for the tenth consecutive month at the highest rate of growth in about three years. New orders increased from North America, Europe, Asia, Brazil, Scandinavia and the Middle East. Rob Dobson, Senior Economist at Markit that compiles the Markit/CIPS Manufacturing PMI®, finds that manufacturing conditions continue around the levels in Nov with output and new orders close to the fastest pace in 22 years and the unemployment rate possibly falling below 7 percent (http://www.markiteconomics.com/Survey/PressRelease.mvc/1961e83a75274808a59a2fdff2cf4579). Table UK provides the economic indicators for the United Kingdom.
Table UK, UK Economic Indicators
CPI | Jan month ∆%: -0.6 |
Output/Input Prices | Output Prices: Jan 12-month NSA ∆%: 0.9; excluding food, petroleum ∆%: 1.2 |
GDP Growth | IVQ2013 prior quarter ∆% 0.7; year earlier same quarter ∆%: 2.8 |
Industrial Production | Dec 2013/Dec 2012 ∆%: Production Industries 1.8; Manufacturing 1.5 |
Retail Sales | Jan month ∆%: -1.5 |
Labor Market | Oct-Dec Unemployment Rate: 7.2%; Claimant Count 3.6%; Earnings Growth 1.1% |
GDP and the Labor Market | IVQ2013 Weekly Hours 101.8, GDP 98.7, Employment 102.2 IQ2008 =100 GDP IVQ13 98.7 IQ2008=100 Blog 2/23/14 |
Trade Balance | Balance SA Dec minus ₤1026 million |
Links to blog comments in Table UK:
2/9/14 http://cmpassocregulationblog.blogspot.com/2014/02/financial-instability-rules.html
2/2/14 http://cmpassocregulationblog.blogspot.com/2014/02/mediocre-cyclical-united-states.html
12/22/13 http://cmpassocregulationblog.blogspot.com/2013/12/tapering-quantitative-easing-mediocre.html
12/1/13 http://cmpassocregulationblog.blogspot.com/2013/12/exit-risks-of-zero-interest-rates-world.html
10/27/13 http://cmpassocregulationblog.blogspot.com/2013/10/twenty-eight-million-unemployed-or.html
9/29/13 http://cmpassocregulationblog.blogspot.com/2013/09/mediocre-and-decelerating-united-states.html
8/25/13 http://cmpassocregulationblog.blogspot.com/2013/08/interest-rate-risks-duration-dumping.html
7/28/13 http://cmpassocregulationblog.blogspot.com/2013/07/duration-dumping-steepening-yield-curve.html
5/26/13 http://cmpassocregulationblog.blogspot.com/2013/05/united-states-commercial-banks-assets.html
4/28/13 http://cmpassocregulationblog.blogspot.com/2013/04/mediocre-and-decelerating-united-states_28.html
03/31/13 http://cmpassocregulationblog.blogspot.com/2013/04/mediocre-and-decelerating-united-states.html
The UK Office for National Statistics provides important analysis of the relation of GDP and the labor market (http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/q4-2013--february-labour-market-update/index.html
http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/q4-2013--january-gdp-update/index.html http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/q3-2013--december-gdp-update/index.html http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/q3-2013--november-gdp-update/sum-nov-gdp.html http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/q3-2013--october-gdp-update/sum-october-gdp.html http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/2013-q2--august-labour-market-update/index.html
http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/2013-q1--may-labour-market-update/sum-may13-labour.html http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/2013-q1--may-labour-market-update/index.html
http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/2012-q4--january-gdp-update/sum-jan13.html http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/2012-q4--february-labour-market-update/sum-2012-q4---february-labour-update.html). The UK economy grew 0.7 percent in IVQ2013 but output is still 1.3 percent below the level before the global recession in IQ2008 (http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/q4-2013--january-gdp-update/index.html http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/q3-2013--december-gdp-update/sum-dec-gdp.html http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/q3-2013--october-gdp-update/sum-october-gdp.html). Chart VH-1 of the UK Office for National Statistics (http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/q3-2013--october-gdp-update/sum-october-gdp.html http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/2013-q1--may-labour-market-update/sum-may13-labour.html) shows weakening output but relatively faster increases in employment and hours worked. Output growth and labor market improvement are converging.
Chart VH-1, UK, Employment Level Ages 16 and Over, Total Weekly Hours and GDP, 2008-2013
Source: UK Office for National Statistics
Table VH-L1 of the UK Office for national Statistics provides the data for GDP and the labor market (http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/q4-2013--february-labour-market-update/index.html
http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/q4-2013--january-gdp-update/index.html http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/q3-2013--december-gdp-update/sum-dec-gdp.html http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/q3-2013--november-gdp-update/sum-nov-gdp.html http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/q3-2013--october-gdp-update/sum-october-gdp.html http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/2013-q2--august-labour-market update/index.html http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/2013-q1--may-gdp-update/index.html http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/2013-q1--may-labour-market-update/sum-may13-labour.html) provides total weekly hours, output and employment quarterly from 2008 to 2013. Improving output has been accompanied recently by improvements in hours worked and employment. From IQ2008 to IVQ2013, employment increased 1.2 percent and hours worked 1.8 percent while GDP is still 1.3 percent lower.
Table VH-L1, UK, Indices of Quarterly Employment Ages 16 and Over, Total Hours Worked and GDP, 2008-2013
Index, Q1 2008 =100 | |||
GDP, CVM | Employment, Aged 16 + | Total weekly hours, Aged 16 + | |
ABMI | MGRZ | YBUS | |
2008 Q1 | 100.0 | 100.0 | 100.0 |
Q2 | 99.1 | 100.1 | 98.9 |
Q3 | 97.7 | 99.6 | 98.9 |
Q4 | 95.6 | 99.4 | 98.3 |
2009 Q1 | 93.2 | 98.9 | 96.7 |
Q2 | 92.8 | 97.9 | 96.3 |
Q3 | 92.8 | 97.8 | 95.8 |
Q4 | 93.2 | 97.9 | 95.8 |
2010 Q1 | 93.7 | 97.6 | 95.7 |
Q2 | 94.7 | 98.2 | 96.5 |
Q3 | 95.0 | 98.9 | 97.0 |
Q4 | 94.8 | 98.7 | 97.4 |
2011 Q1 | 95.3 | 99.0 | 97.4 |
Q2 | 95.4 | 99.0 | 96.3 |
Q3 | 95.9 | 98.5 | 97.1 |
Q4 | 95.8 | 98.8 | 97.3 |
2012 Q1 | 95.8 | 99.2 | 98.0 |
Q2 | 95.4 | 99.9 | 98.5 |
Q3 | 96.2 | 100.2 | 99.6 |
Q4 | 96.0 | 100.8 | 99.8 |
2013 Q1 | 96.5 | 100.7 | 100.1 |
Q2 | 97.3 | 100.9 | 100.4 |
Q2 | 98.0 | 101.5 | 101.4 |
Q4 | 98.7 | 102.2 | 101.8 |
Source: UK Office for National Statistics
Chart VH-2 of the UK Office for National Statistics provides comparison of output performance during four cycles in the 1970s, 1980s, 1990s and 2000s. Output is indexed to the pre-recession peak. For example, the index for the current economic cycles is 100 for IQ2008. Output performance was stronger in the earlier economic cycles.
Chart VH-2, UK, Index of Output in Economic Cycles
UK Office for National Statistics
http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/q4-2013--january-gdp-update/index.html
Table VH-L2 provides output in the four economic cycles. Output increased 8.8 percent in the cycle of the early 1970s, 11.7 percent in the cycle of the 1980s and 15.8 percent in the cycle of the 1990s. Output is 1.3 percent below the pre-recession peak in IQ2008.
Table VH-L2, Index of Output in Economic Cycles, Pre-Contraction = 100
Early 70s (1973 Q2=100) | Early 80s (1979 Q4=100) | Early 90s (1990 Q2=100) | Latest (2008 Q1=100) |
ABMI | ABMI | ABMI | ABMI |
100.0 | 100.0 | 100.0 | 100.0 |
99.1 | 99.0 | 99.1 | 99.1 |
99.1 | 97.3 | 98.4 | 97.6 |
96.8 | 97.1 | 98.3 | 95.6 |
98.6 | 95.8 | 97.9 | 93.2 |
99.5 | 95.4 | 97.6 | 92.8 |
98.4 | 95.4 | 97.9 | 92.8 |
98.6 | 96.6 | 98.4 | 93.2 |
97.2 | 96.6 | 98.6 | 93.7 |
97.0 | 97.1 | 99.4 | 94.6 |
98.4 | 98.3 | 100.3 | 95.0 |
100.0 | 98.3 | 101.4 | 94.8 |
99.1 | 99.0 | 102.1 | 95.3 |
100.0 | 100.4 | 103.2 | 95.4 |
102.1 | 101.3 | 104.1 | 95.9 |
102.3 | 102.5 | 105.5 | 95.8 |
101.8 | 103.8 | 107.1 | 95.7 |
102.5 | 104.8 | 108.7 | 95.4 |
104.1 | 104.2 | 109.6 | 96.1 |
104.6 | 104.6 | 110.1 | 96.0 |
105.5 | 106.3 | 110.9 | 96.5 |
106.7 | 107.5 | 112.3 | 97.3 |
107.6 | 109.2 | 112.9 | 98.0 |
106.7 | 109.2 | 114.2 | 98.7 |
111.3 | 110.1 | 114.8 | |
108.8 | 111.7 | 115.8 |
UK Office for National Statistics
http://www.ons.gov.uk/ons/rel/elmr/gdp-and-the-labour-market/q4-2013--january-gdp-update/index.html
Labor market statistics of the UK for the quarter Oct-Dec 2013 are provided in Table VH-L2. The unemployment rate increased to 7.2 percent and the number unemployed decreased 161,000 in the year, reaching 2.342 million. The employment rate is 72.1 percent. Earnings growth including bonuses increased 1.1 percent over the earlier year. The claimant count or those receiving unemployment benefits stands at 3.6 percent, down 0.1 percentage points on the month and down 1.0 percentage points on the year.
Table VH-L2, UK, Labor Market Statistics
Quarter Oct-Dec 2013 | |
Unemployment Rate | 7.2% down 0.4 on quarter and down 0.6 from year earlier |
Number Unemployed | (1) Down 125,000 on quarter and down 161,000 from year earlier to reach 2.342 million (2) Unemployment rate 16 to 24 years of age 21.0% of that age group (3) Unemployed 16 to 24 years excluding those in full-time education 637,000 (280,000 in full-time education) down 27,000 on quarter; unemployment rate 18.2% down 0.9 % Points |
Number Unemployed > one and two years | (1) Number unemployed over one year: 845,000, down 45,000 on quarter, down 34,000 on year (2) Number unemployed over two years: 451,000, down 7,000 on quarter, up 9,000 on year |
Inactivity Rate 16-64 Years of Age (Definition: Not in employment but have not been seeking employment in the past four weeks or are unable to start work in two weeks) | (1) 22.1%, little changed on quarter, little changed on year (2) Economically inactive 16-64 years up 8,000 on quarter and down 23,000 on year to 8.932 million |
Employment Rate | 72.1%, up 0.3 on quarter, up 0.6 % points on year |
Number Employed | (1) Up 193,000 on quarter, +396,000 on year to 30.146 million (2) Number of employees up 63,000 on quarter to 25.53 million (3) Self-employed rose 172,000 on quarter to 4.37 million (4) Full-time 21.868 million, up 157,000 on quarter, up 412,000 on year (5) 1.46 million working part-time and self-employed who could not find full-time jobs |
Earnings Growth Rates Year on Year | (1) Total +1.1% (including bonuses) over year earlier; regular 1.0%; private sector 1.5% on year earlier, public sector 0.2% on year earlier (2) Regular private 1.3 % (excluding bonuses); regular public 0.5% on year earlier |
Full-time and Part-time | (1) Number full-time 21.824 million, up 148,000 on quarter (2) Number part-time 8.045 million, up 38,000 on quarter |
Claimant Count (Jobseeker’s Allowance, JSA) | (1) Latest estimate: 1.216 million; down 27,600 in month, down 327,000 on year earlier (2) Claimant count 3.6%, down 0.1 on month and down 1.0 % points on year |
Labor Productivity | (1) Output per worker fell 0.3% from IIQ2013 to IIIQ2013 |
Source: UK Office for National Statistics
http://www.ons.gov.uk/ons/rel/lms/labour-market-statistics/february-2014/index.html
Table VH-L3 provides indicators of the labor force survey of the UK for Oct-Dec 2013 and earlier quarters. There has been improvement in UK labor markets with the rate of unemployment decreasing from 7.8 percent in Oct-Dec 2012 to 7.2 percent in Oct-Dec 2013.
Table VH-L3, UK, Labor Force Survey Indicators
LFHP | EMP | PART | UNE | RATE | |
Oct-Dec 2011 | 40,175 | 29,146 | 70.4 | 2,657 | 8.4 |
Oct-Dec 2012 | 40,214 | 29,751 | 71.6 | 2,503 | 7.8 |
Jan-Mar 2013 | 40,231 | 29,708 | 71.4 | 2,518 | 7.8 |
Apr-Jun 2013 | 40,248 | 29,777 | 71.5 | 2,514 | 7.8 |
Jul-Sep 2013 | 40,284 | 29,953 | 71.8 | 2,466 | 7.6 |
Oct-Dec 2013 | 40,329 | 30,146 | 72.1 | 2,342 | 7.2 |
Notes: LFHP: Labor Force Household Population Ages 16 to 64 in thousands; EMP: Employed Ages 16 and over in thousands; PART: Employment as % of Population Ages 16 to 64; UNE: Unemployed Ages 16 and over in thousands; Rate: Number Unemployed Ages 16 and over as % of Employed plus Unemployed
Source: UK Office for National Statistics
http://www.ons.gov.uk/ons/rel/lms/labour-market-statistics/february-2014/index.html
The volume of retail sales in the UK decreased 1.5 percent in Jan 2014 and increased 4.3 percent in the 12 months ending in Jan 2014, as shown in Table VH-1. Percentage changes of retail sales in 12 months had been positive in several months since Sep 2011 with exceptions such as declines of 1.8 percent in Apr 2012, 1.2 percent in Jan 2013 and 1.0 percent in Mar 2013. The quarter ending in Jul 2013 is quite strong with growth of 1.9 percent in May, 0.1 percent in Jun and 1.1 percent in Jul, interrupted by decline of 1.0 percent in Aug 2013 followed by increase of 0.9 percent in Sep 2013. The volume of retail sales fell 0.8 percent in Oct 2013, increasing 0.1 percent in Nov 2013 and jumping 2.5 percent in Dec 2013.
Table VH-1, UK, Volume of Retail Sales ∆%
Month ∆% | 12-Month ∆% | |
Jan 2014 | -1.5 | 4.3 |
Dec 2013 | 2.5 | 5.3 |
Nov | 0.1 | 1.9 |
Oct | -0.8 | 1.9 |
Sep | 0.9 | 2.2 |
Aug | -1.0 | 1.6 |
Jul | 1.1 | 2.5 |
Jun | 0.1 | 1.6 |
May | 1.9 | 1.7 |
Apr | -0.7 | 0.8 |
Mar | -0.5 | -1.0 |
Feb | 2.1 | 1.9 |
Jan | -0.5 | -1.2 |
Dec 2012 | -0.8 | -0.1 |
Nov | 0.1 | 0.4 |
Oct | -0.5 | 0.3 |
Sep | 0.3 | 2.0 |
Aug | -0.1 | 2.1 |
Jul | 0.3 | 1.7 |
Jun | 0.2 | 1.8 |
May | 1.0 | 1.5 |
Apr | -2.4 | -1.8 |
Mar | 2.4 | 2.8 |
Feb | -1.1 | 0.3 |
Jan | 0.6 | 0.6 |
Dec 2011 | -0.3 | 2.3 |
Nov | 0.0 | 0.2 |
Oct | 1.2 | 0.6 |
Sep | 0.4 | 0.1 |
Aug | -0.5 | -1.3 |
Jul | 0.3 | -1.0 |
Jun | -0.1 | -0.9 |
May | -2.4 | -0.9 |
Apr | 2.2 | 2.2 |
Mar | 0.0 | -0.2 |
Feb | -0.8 | -0.1 |
Jan | 2.3 | 3.4 |
Dec 2010 | -2.3 | -2.4 |
Source: UK Office for National Statistics
http://www.ons.gov.uk/ons/rel/rsi/retail-sales/january-2014/index.html
Retail sales in the UK struggle with oscillating and relatively high inflation. Table VH-2 provides 12-month percentage changes of the implied deflator of UK retail sales. The implied deflator of all retail sales increased 0.2 percent in the 12 months ending in Jan 2013 while that of sales excluding auto fuel increased 0.4 percent. The 12-month increase of the implied deflator of auto fuel in Jan 2014 was minus 1.4 percent. The 12-month increase of the implied deflator of auto fuel sales rose to 17.0 percent in Sep 2011, which is the highest 12-month increase in 2011, but then declined to 0.3 percent in Dec 2012 and minus 0.2 percent in Jan 2013. The 12-month implied deflator of auto fuel sales decreased 2.2 percent in May 2013, increasing 1.3 percent in Jun 2013 and 2.6 percent in Jul 2013. The percentage change of the implied deflator of sales of food stores at 1.8 percent in Dec 2013 is higher than for total retail sales of 0.2 percent. Increases in fuel prices at the retail level have occurred throughout most years since 2005 with exception of the decline of 9.7 percent in Dec 2008 when commodity carry trades were reversed in the panic of the financial crisis. UK inflation is particularly sensitive to changes in commodity prices.
Table VH-2, UK, Implied Deflator of Retail Sales, 12-Month Percentage Changes
All Retail | All Retail Ex Auto Fuel | Mostly Food Stores | Mostly Nonfood Stores | Mostly Automotive Fuel Stores | ||
2008 | Feb | 2.8 | 1.0 | 4.1 | -1.3 | 19.0 |
Mar | 2.5 | 0.7 | 3.7 | -1.7 | 19.0 | |
Apr | 3.0 | 1.2 | 4.8 | -1.5 | 17.6 | |
May | 3.6 | 1.9 | 5.9 | -1.2 | 18.5 | |
Jun | 4.6 | 2.5 | 6.9 | -1.0 | 22.5 | |
Jul | 5.8 | 3.6 | 8.7 | -0.4 | 24.2 | |
Aug | 5.4 | 3.8 | 9.4 | -0.5 | 19.5 | |
Sep | 5.1 | 3.5 | 8.3 | -0.3 | 18.6 | |
Oct | 3.6 | 2.9 | 7.4 | -0.7 | 9.2 | |
Nov | 2.2 | 2.7 | 7.5 | -1.1 | -2.6 | |
Dec | -0.2 | 0.5 | 7.1 | -3.9 | -9.7 | |
2009 | Jan | -0.2 | 1.6 | 7.3 | -2.9 | -13.4 |
Feb | 1.0 | 2.6 | 8.4 | -2.1 | -11.0 | |
Mar | 0.6 | 2.4 | 7.9 | -2.0 | -12.4 | |
Apr | 0.2 | 1.7 | 6.2 | -2.0 | -11.1 | |
May | - | 1.6 | 5.7 | -1.9 | -12.4 | |
Jun | -1.1 | 0.7 | 4.2 | -2.4 | -13.2 | |
Jul | -1.4 | 0.3 | 3.5 | -2.4 | -13.6 | |
Aug | -0.9 | 0.2 | 2.3 | -1.8 | -8.9 | |
Sep | -0.8 | - | 1.9 | -1.5 | -5.8 | |
Oct | 0.3 | 0.5 | 2.5 | -1.2 | -0.8 | |
Nov | 1.4 | 0.5 | 1.8 | -0.8 | 10.0 | |
Dec | 3.7 | 2.4 | 2.2 | 1.8 | 17.0 | |
2010 | Jan | 4.1 | 2.0 | 2.7 | 1.2 | 23.3 |
Feb | 3.0 | 1.0 | 1.5 | 0.8 | 20.5 | |
Mar | 3.6 | 1.4 | 2.2 | 0.9 | 22.7 | |
Apr | 4.0 | 2.0 | 2.9 | 1.3 | 23.3 | |
May | 3.4 | 1.5 | 2.0 | 1.1 | 20.9 | |
Jun | 2.6 | 1.3 | 2.1 | 0.8 | 14.7 | |
Jul | 2.7 | 1.6 | 3.0 | 0.5 | 13.5 | |
Aug | 2.6 | 1.7 | 3.4 | 0.4 | 11.4 | |
Sep | 3.1 | 2.6 | 4.3 | 1.2 | 8.3 | |
Oct | 3.3 | 2.5 | 4.1 | 1.1 | 10.8 | |
Nov | 3.6 | 3.0 | 4.9 | 1.3 | 9.8 | |
Dec | 3.7 | 3.2 | 5.2 | 1.4 | 12.4 | |
2011 | Jan | 4.4 | 3.3 | 5.4 | 1.4 | 14.5 |
Feb | 4.9 | 3.8 | 5.6 | 2.2 | 15.1 | |
Mar | 4.3 | 3.0 | 4.3 | 1.9 | 14.9 | |
Apr | 4.2 | 3.3 | 4.8 | 1.9 | 12.3 | |
May | 4.6 | 3.5 | 5.6 | 1.8 | 13.2 | |
Jun | 4.7 | 3.4 | 6.2 | 1.2 | 14.5 | |
Jul | 5.1 | 3.9 | 6.0 | 2.2 | 14.5 | |
Aug | 5.4 | 4.0 | 6.0 | 2.4 | 16.2 | |
Sep | 5.1 | 3.7 | 6.2 | 1.7 | 17.0 | |
Oct | 4.7 | 3.5 | 5.1 | 2.3 | 14.8 | |
Nov | 4.0 | 3.0 | 4.7 | 1.7 | 12.6 | |
Dec | 3.3 | 2.4 | 4.3 | 1.0 | 9.1 | |
2012 | Jan | 2.6 | 2.2 | 3.6 | 1.1 | 5.3 |
Feb | 2.8 | 2.4 | 4.0 | 0.9 | 5.4 | |
Mar | 3.0 | 2.7 | 4.5 | 1.1 | 4.9 | |
Apr | 2.3 | 2.0 | 3.8 | 0.4 | 5.2 | |
May | 1.4 | 1.5 | 3.1 | 0.2 | 1.2 | |
Jun | 0.6 | 0.9 | 2.3 | -0.2 | -1.2 | |
Jul | 0.4 | 0.7 | 2.0 | -0.2 | -1.4 | |
Aug | 0.5 | 0.6 | 2.1 | -0.8 | 0.4 | |
Sep | 0.9 | 0.7 | 2.1 | -0.4 | 2.9 | |
Oct | 1.1 | 1.0 | 2.8 | -0.4 | 2.6 | |
Nov | 0.7 | 0.7 | 3.1 | -1.0 | 1.3 | |
Dec | 0.9 | 1.0 | 3.0 | -0.3 | 0.3 | |
2013 | Jan | 1.1 | 1.4 | 3.8 | -0.7 | -0.2 |
Feb | 1.0 | 1.0 | 3.2 | -0.7 | 1.1 | |
Mar | 0.9 | 1.2 | 3.1 | -0.7 | 0.5 | |
Apr | 0.6 | 1.1 | 3.4 | -0.7 | -3.0 | |
May | 1.0 | 1.5 | 3.5 | -0.1 | -2.2 | |
Jun | 1.7 | 1.8 | 3.4 | 0.6 | 1.3 | |
Jul | 1.8 | 1.8 | 3.4 | 0.3 | 2.6 | |
Aug | 1.6 | 1.6 | 3.4 | 0.3 | 1.5 | |
Sep | 0.9 | 1.3 | 3.4 | -0.2 | -1.2 | |
Oct | 0.7 | 1.3 | 3.3 | -0.2 | -3.5 | |
Nov | 0.6 | 1.0 | 2.7 | -0.1 | -3.0 | |
Dec | 0.5 | 0.7 | 2.3 | -0.3 | -1.0 | |
2014 | Jan | 0.2 | 0.4 | 1.8 | -0.4 | -1.4 |
Source: UK Office for National Statistics
http://www.ons.gov.uk/ons/rel/rsi/retail-sales/january-2014/index.html
UK monthly retail volume of sales is quite volatile, as shown in Table VH-3. Total volume of sales decreased 0.7 percent in Apr 2013 and increased 1.9 percent in May 2013, 0.1 percent in Jun 2013 and 1.1 percent in Jul 2013 but declined 1.0 percent in Aug 2013. Retail sales increased 0.9 percent in Sep 2013 and fell 0.8 percent in Oct 2013. Retail sales increased 0.1 percent in Nov 2013 and 2.5 percent in Dec 2013. Total volume of retail sales fell 1.5 percent in Jan 2014. There was decrease of 1.5 percent in retail sales excluding auto fuels in Jan 2014 and decrease of 3.4 percent in food stores, increase of 0.4 percent in nonfood stores and decrease of 1.6 percent in auto fuel stores. Multiple positive and negative variations and changes in magnitudes confirm high volatility.
VH-3, UK, Growth of Retail Sales Volume by Component Groups Month SA ∆%
All Retail | All Retail Ex Auto Fuel | Mostly Food Stores | Mostly Nonfood Stores | Mostly Automotive Fuel Stores | ||
2011 | Mar | - | - | 0.5 | - | -0.8 |
Apr | 2.2 | 2.3 | 4.0 | 0.4 | 1.7 | |
May | -2.4 | -2.6 | -4.6 | -1.0 | -0.4 | |
Jun | -0.1 | -0.1 | -0.2 | -0.5 | 0.1 | |
Jul | 0.3 | 0.4 | 0.8 | 0.4 | -0.5 | |
Aug | -0.5 | -0.4 | 0.1 | -1.1 | -0.5 | |
Sep | 0.4 | 0.4 | 0.1 | 0.5 | 0.7 | |
Oct | 1.2 | 1.2 | 0.9 | 1.7 | 1.1 | |
Nov | - | -0.4 | -0.5 | -0.9 | 2.9 | |
Dec | -0.3 | -0.1 | - | 0.3 | -1.5 | |
2012 | Jan | 0.6 | 0.6 | 0.6 | 0.4 | 0.8 |
Feb | -1.1 | -0.9 | -0.4 | -1.3 | -2.6 | |
Mar | 2.4 | 2.0 | -0.5 | 4.6 | 5.8 | |
Apr | -2.4 | -1.1 | 0.3 | -3.2 | -12.6 | |
May | 1.0 | 0.5 | - | 1.1 | 5.2 | |
Jun | 0.2 | 0.5 | 0.1 | 1.0 | -2.7 | |
Jul | 0.3 | 0.1 | - | -0.4 | 2.2 | |
Aug | -0.1 | -0.2 | 0.3 | 0.5 | 0.5 | |
Sep | 0.3 | 0.2 | - | -0.6 | 1.4 | |
Oct | -0.5 | -0.2 | -0.9 | 0.1 | -3.0 | |
Nov | 0.1 | 0.4 | -0.2 | 0.8 | -2.0 | |
Dec | -0.8 | -1.1 | -0.2 | -2.1 | 1.8 | |
2013 | Jan | -0.5 | -0.3 | -0.6 | -0.7 | -2.2 |
Feb | 2.1 | 2.0 | 0.4 | 3.5 | 2.3 | |
Mar | -0.5 | -0.5 | 1.9 | -3.2 | -0.1 | |
Apr | -0.7 | -0.8 | -3.7 | 2.2 | -0.2 | |
May | 1.9 | 1.9 | 2.6 | 0.9 | 1.5 | |
Jun | 0.1 | 0.1 | 0.1 | 0.1 | -0.1 | |
Jul | 1.1 | 1.2 | 2.7 | -0.4 | 1.0 | |
Aug | -1.0 | -1.0 | -2.5 | - | -0.7 | |
Sep | 0.9 | 1.1 | -0.3 | 2.9 | -0.9 | |
Oct | -0.8 | -0.6 | -0.1 | -1.3 | -2.4 | |
Nov | 0.1 | 0.2 | 0.1 | 0.1 | -0.5 | |
Dec | 2.5 | 2.7 | 2.6 | 2.6 | 1.0 | |
2014 | Jan | -1.5 | -1.5 | -3.4 | 0.4 | -1.6 |
Source: UK Office for National Statistics
http://www.ons.gov.uk/ons/rel/rsi/retail-sales/january-2014/index.html
Percentage growth in 12 months of retail sales volume by component groups in the UK is provided in Table VH-4. Total retail sales increased 4.3 percent in the 12 months ending in Jan 2014 with increase of 4.8 percent in sales excluding auto fuel. Sales of food stores increased 0.1 percent in the 12 months ending in Jan 2014 while sales of nonfood stores increased 8.0 percent. Sales of auto fuel stores decreased 0.8 percent in Jan 2014 relative to a year earlier.
Table VH-4, UK, Growth of Retail Sales Volume by Component Groups 12-Month ∆%
All Retail | All Retail Ex Auto Fuel | Mostly Food Stores | Mostly Nonfood Stores | Mostly Automotive Fuel Stores | ||
2011 | Mar | -0.2 | -0.6 | -1.5 | -0.5 | 3.6 |
Apr | 2.2 | 1.9 | 2.2 | 0.4 | 3.9 | |
May | -0.9 | -1.3 | -3.4 | -1.0 | 2.2 | |
Jun | -0.9 | -1.4 | -4.1 | -1.1 | 3.1 | |
Jul | -1.0 | -1.3 | -1.2 | -2.8 | 1.9 | |
Aug | -1.3 | -1.7 | -0.7 | -3.9 | 1.8 | |
Sep | 0.1 | -0.3 | -0.3 | -1.8 | 3.4 | |
Oct | 0.6 | 0.3 | 0.4 | -1.0 | 2.7 | |
Nov | 0.2 | -0.4 | -1.1 | -1.8 | 5.2 | |
Dec | 2.3 | 1.1 | 1.0 | 0.3 | 13.7 | |
2012 | Jan | 0.6 | 0.3 | 0.9 | -1.4 | 3.2 |
Feb | 0.3 | 0.2 | 0.9 | -1.4 | 1.0 | |
Mar | 2.8 | 2.2 | -0.1 | 3.2 | 7.7 | |
Apr | -1.8 | -1.2 | -3.7 | -0.4 | -7.5 | |
May | 1.5 | 2.0 | 1.0 | 1.7 | -2.3 | |
Jun | 1.8 | 2.6 | 1.3 | 3.3 | -5.1 | |
Jul | 1.7 | 2.3 | 0.5 | 2.5 | -2.5 | |
Aug | 2.1 | 2.5 | 0.8 | 4.1 | -1.5 | |
Sep | 2.0 | 2.3 | 0.6 | 3.1 | -0.8 | |
Oct | 0.3 | 0.9 | -1.1 | 1.5 | -4.9 | |
Nov | 0.4 | 1.7 | -0.8 | 3.3 | -9.4 | |
Dec | -0.1 | 0.7 | -1.0 | 0.7 | -6.4 | |
2013 | Jan | -1.2 | -0.2 | -2.1 | -0.4 | -9.2 |
Feb | 1.9 | 2.7 | -1.3 | 4.5 | -4.6 | |
Mar | -1.0 | 0.2 | 1.1 | -3.3 | -9.9 | |
Apr | 0.8 | 0.5 | -2.9 | 2.1 | 2.9 | |
May | 1.7 | 1.9 | -0.4 | 2.0 | -0.7 | |
Jun | 1.6 | 1.5 | -0.4 | 1.1 | 2.0 | |
Jul | 2.5 | 2.7 | 2.3 | 1.1 | 0.8 | |
Aug | 1.6 | 1.9 | -0.6 | 0.6 | -0.5 | |
Sep | 2.2 | 2.8 | -0.9 | 4.2 | -2.8 | |
Oct | 1.9 | 2.4 | -0.1 | 2.7 | -2.1 | |
Nov | 1.9 | 2.2 | 0.3 | 2.0 | -0.6 | |
Dec | 5.3 | 6.1 | 3.1 | 6.8 | -1.4 | |
2014 | Jan | 4.3 | 4.8 | 0.1 | 8.0 | -0.8 |
Source: UK Office for National Statistics
http://www.ons.gov.uk/ons/rel/rsi/retail-sales/january-2014/index.html
Table VH-5 provides the analysis of the UK Office for National Statistics of contributions to 12-month percentage changes of value and volume of retail sales in the UK. The volume of retail sales seasonally adjusted increased 4.3 percent in the 12 months ending in Jan 2014. Sales of predominantly food stores with weight of 41.5 percent increased 0.1 percent in the 12 months ending in Jan 2014, contributing 0.1 percentage points. Mostly nonfood stores with weight of 41.3 percent increased 8.0 percent with contribution of 3.5 percentage points. Positive contribution to 12-month percentage changes of volume was made by non-store retailing with weight of 5.7 percent, growth of 12.9 percent and positive contribution of 0.8 percentage points. Automotive fuel with weight of 11.5 percent and growth of minus 0.8 percent deducted 0.1 percentage points. The value of retail sales increased 4.4 percent in the 12 months ending in Jan 2014. There were positive contributions: 3.2 percentage points for predominantly nonfood stores and 0.7 percentage points for non-store retailing. Automotive fuel stores deducted 0.3 percentage points while food stores added 0.8 percentage points.
Table VH-5, UK, Volume and Value of Retail Sales 12-month ∆% and Percentage Points Contributions by Sectors
Jan 2014 | Weight | Volume SA | PP Cont. | Value SA | PP Cont. |
All Retailing | 100.0 | 4.3 | 4.4 | ||
Mostly | 41.5 | 0.1 | 0.1 | 1.8 | 0.8 |
Mostly Nonfood Stores | 41.3 | 8.0 | 3.5 | 7.6 | 3.2 |
Non-store Retailing | 5.7 | 12.9 | 0.8 | 12.3 | 0.7 |
Automotive Fuel | 11.5 | -0.8 | -0.1 | -2.3 | -0.3 |
Cont.: Contribution
Source: UK Office for National Statistics
http://www.ons.gov.uk/ons/rel/rsi/retail-sales/january-2014/index.html
© Carlos M. Pelaez, 2009, 2010, 2011, 2012, 2013, 2014.
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