G20 Monetary Policy, Recovery without Hiring, Ten Million Fewer Full-time Jobs, Youth an Middle Age Unemployment, Import and Export Prices, World Cyclical Slow Growth and Global Recession Risk
Carlos M. Pelaez
© Carlos M. Pelaez, 2009, 2010, 2011, 2012, 2013, 2014, 2015
I Recovery without Hiring
IA1 Hiring Collapse
IA2 Labor Underutilization
ICA3 Ten Million Fewer Full-time Jobs
IA4 Theory and Reality of Cyclical Slow Growth Not Secular Stagnation: Youth and Middle-Age Unemployment
IIB Import and Export Prices
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/ns/cs.aspx?id=28) 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 changed its forecast of the world economy to 3.3 percent in 2013 but accelerating to 3.3 percent in 2014, 3.8 percent in 2015 and 4.0 percent in 2016. Slow-speed recovery occurs in the “major advanced economies” of the G7 that account for $34,523 billion of world output of $72,688 billion, or 47.5 percent, but are projected to grow at much lower rates than world output, 1.9 percent on average from 2013 to 2016 in contrast with 3.6 percent for the world as a whole. While the world would grow 15.2 percent in the four years from 2013 to 2016, the G7 as a whole would grow 8.5 percent. The difference in dollars of 2012 is rather high: growing by 15.2 percent would add around $11.0 trillion of output to the world economy, or roughly, two times the output of the economy of Japan of $5,938 billion but growing by 8.0 percent would add $5.8 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 $27,512 billion, or 37.8 percent of world output. The EMDEs would grow cumulatively 20.7 percent or at the average yearly rate of 4.8 percent, contributing $5.7 trillion from 2013 to 2016 or the equivalent of somewhat less than the GDP of $8,387 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 $14,511 billion, or 19.9 percent of world output, which is equivalent to 42.0 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 | 72,688 | 3.3 | 3.3 | 3.8 | 4.0 |
G7 | 34,523 | 1.5 | 1.7 | 2.3 | 2.3 |
Canada | 1,709 | 2.0 | 2.3 | 2.4 | 2.4 |
France | 2,688 | 0.3 | 0.4 | 1.0 | 1.6 |
DE | 3,428 | 0.5 | 1.4 | 1.5 | 1.8 |
Italy | 2,014 | -1.9 | -0.2 | 0.9 | 1.3 |
Japan | 5,938 | 1.5 | 0.9 | 0.8 | 0.8 |
UK | 2,471 | 1.7 | 3.2 | 2.7 | 2.4 |
US | 16,163 | 2.2 | 2.2 | 3.1 | 3.0 |
Euro Area | 12,220 | -0.4 | 0.8 | 1.3 | 1.7 |
DE | 3,428 | 0.5 | 1.4 | 1.5 | 1.8 |
France | 2,688 | 0.3 | 0.4 | 1.0 | 1.6 |
Italy | 2,014 | -1.9 | -0.2 | 0.9 | 1.3 |
POT | 212 | -1.4 | 1.0 | 1.5 | 1.7 |
Ireland | 211 | -0.3 | 1.7 | 2.5 | 2.5 |
Greece | 249 | -3.9 | 0.6 | 2.9 | 3.7 |
Spain | 1,323 | -1.2 | 1.3 | 1.7 | 1.8 |
EMDE | 27,512 | 4.7 | 4.4 | 5.0 | 5.2 |
Brazil | 2,248 | 2.5 | 0.3 | 1.4 | 2.2 |
Russia | 2,017 | 1.3 | 0.2 | 0.5 | 1.5 |
India | 1,859 | 5.0 | 5.6 | 6.4 | 6.5 |
China | 8,387 | 7.7 | 7.4 | 7.1 | 6.8 |
Notes; DE: Germany; EMDE: Emerging and Developing Economies (150 countries); POT: Portugal
Source: IMF World Economic Outlook databank http://www.imf.org/external/ns/cs.aspx?id=28
Continuing high rates of unemployment in advanced economies constitute another characteristic of the database of the WEO (http://www.imf.org/external/ns/cs.aspx?id=28). 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 2013 in Table I-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 in 2013 for the countries with sovereign debt difficulties in Europe: 16.2 percent for Portugal (POT), 13.0 percent for Ireland, 27.3 percent for Greece, 26.1 percent for Spain and 12.2 percent for Italy, which is lower but still high. The G7 rate of unemployment is 7.1 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 | 7.1 | 6.5 | 6.3 | 6.1 |
Canada | 7.3 | 7.1 | 7.0 | 6.9 | 6.8 |
France | 9.8 | 10.3 | 10.0 | 10.0 | 9.9 |
DE | 5.5 | 5.3 | 5.3 | 5.3 | 5.3 |
Italy | 10.7 | 12.2 | 12.6 | 12.0 | 11.3 |
Japan | 4.3 | 4.0 | 3.7 | 3.8 | 3.8 |
UK | 8.0 | 7.6 | 6.3 | 5.8 | 5.5 |
US | 8.1 | 7.4 | 6.3 | 5.9 | 5.8 |
Euro Area | 11.3 | 11.9 | 11.6 | 11.2 | 10.7 |
DE | 5.5 | 5.3 | 5.3 | 5.3 | 5.3 |
France | 9.8 | 10.3 | 10.0 | 10.0 | 9.9 |
Italy | 10.7 | 12.2 | 12.6 | 12.0 | 11.3 |
POT | 15.5 | 16.2 | 14.2 | 13.5 | 13.0 |
Ireland | 14.7 | 13.0 | 11.2 | 10.5 | 10.1 |
Greece | 24.2 | 27.3 | 25.8 | 23.8 | 20.9 |
Spain | 24.8 | 26.1 | 24.6 | 23.5 | 22.4 |
EMDE | NA | NA | NA | NA | NA |
Brazil | 5.5 | 5.4 | 5.5 | 6.1 | 5.9 |
Russia | 5.5 | 5.5 | 5.6 | 6.5 | 6.0 |
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/ns/cs.aspx?id=28
Table V-3 provides the latest available estimates of GDP for the regions and countries followed in this blog from IQ2012 to IIIQ2014 available now for all countries. There are preliminary estimates for most countries for IVQ2014. Growth is weak throughout most of the world.
- Japan. The GDP of Japan increased 1.1 percent in IQ2012, 4.6 percent at SAAR (seasonally adjusted annual rate) and 3.5 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 4.6 percent in IQ2012. Growth of 3.5 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 0.5 percent in IIIQ2012 at the SAAR of minus 2.0 percent and increased 0.2 percent relative to a year earlier. Japan’s GDP decreased 0.2 percent in IVQ2012 at the SAAR of minus 0.9 percent and changed 0.0 percent relative to a year earlier. Japan grew 1.5 percent in IQ2013 at the SAAR of 6.0 percent and increased 0.5 percent relative to a year earlier. Japan’s GDP increased 0.7 percent in IIQ2013 at the SAAR of 3.0 percent and increased 1.4 percent relative to a year earlier. Japan’s GDP grew 0.4 percent in IIIQ2013 at the SAAR of 1.6 percent and increased 2.2 percent relative to a year earlier. In IVQ2013, Japan’s GDP decreased 0.4 percent at the SAAR of minus 1.5 percent, increasing 2.3 percent relative to a year earlier. Japan’s GDP increased 1.4 percent in IQ2014 at the SAAR of 5.8 percent and increased 2.5 percent relative to a year earlier. In IIQ2014, Japan’s GDP fell 1.7 percent at the SAAR of minus 6.7 percent and fell 0.3 percent relative to a year earlier. Japan’s GDP contracted 0.5 percent in IIIQ2014 at the SAAR of minus 1.9 percent and fell 1.3 percent relative to a year earlier.
- China. China’s GDP grew 1.4 percent in IQ2012, annualizing to 5.7 percent, and 8.1 percent relative to a year earlier. 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 1.7 percent, which annualizes at 7.0 percent and 7.8 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 2.3 percent in IIIQ2013, which annualizes at 9.5 percent and 7.9 percent relative to a year earlier. China grew at 1.8 percent in IVQ2013, which annualized to 7.4 percent and 7.6 percent relative to a year earlier. China’s GDP grew 1.6 percent in IQ2014, which annualizes to 6.6 percent, and 7.4 percent relative to a year earlier. China’s GDP grew 1.9 percent in IIQ2014, which annualizes at 7.8 percent, and 7.5 percent relative to a year earlier. China’s GDP grew 1.9 percent in IIIQ2014, which is equivalent to 7.8 percent in a year, and 7.3 percent relative to a year earlier. The GDP of China grew 1.5 percent in IVQ2014, which annualizes at 6.1 percent, and 7.3 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 2014.
- Euro Area. GDP fell 0.1 percent in the euro area in IQ2012 and decreased 0.3 in IQ2012 relative to a year earlier. Euro area GDP contracted 0.3 percent IIQ2012 and fell 0.6 percent relative to a year earlier. In IIIQ2012, euro area GDP fell 0.1 percent and declined 0.8 percent relative to a year earlier. In IVQ2012, euro area GDP fell 0.4 percent relative to the prior quarter and fell 0.9 percent relative to a year earlier. In IQ2013, the GDP of the euro area fell 0.4 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 0.2 percent and fell 0.3 percent relative to a year earlier. The GDP of the euro area increased 0.2 percent in IVQ2013 and increased 0.4 percent relative to a year earlier. In IQ2014, the GDP of the euro area increased 0.3 percent and 1.1 percent relative to a year earlier. The GDP of the euro area increased 0.1 percent in IIQ2014 and increased 0.8 percent relative to a year earlier. The euro area’s GDP increased 0.2 percent in IIIQ2014 and increased 0.8 percent relative to a year earlier. The GDP of the euro area increased 0.3 percent in IVQ2014 and increased 0.9 percent relative to a year earlier.
- Germany. The GDP of Germany increased 0.3 percent in IQ2012 and 1.5 percent relative to a year earlier. In IIQ2012, Germany’s GDP increased 0.1 percent and increased 0.3 percent relative to a year earlier but 0.8 percent relative to a year earlier when adjusted for calendar (CA) effects. In IIIQ2012, Germany’s GDP increased 0.1 percent and 0.1 percent relative to a year earlier. Germany’s GDP contracted 0.4 percent in IVQ2012 and decreased 0.3 percent relative to a year earlier. In IQ2013, Germany’s GDP decreased 0.4 percent and fell 1.8 percent relative to a year earlier. In IIQ2013, Germany’s GDP increased 0.8 percent and 0.5 percent relative to a year earlier. The GDP of Germany increased 0.3 percent in IIIQ2013 and 0.8 percent relative to a year earlier. In IVQ2013, Germany’s GDP increased 0.4 percent and 1.0 percent relative to a year earlier. The GDP of Germany increased 0.8 percent in IQ2014 and 2.6 percent relative to a year earlier. In IIQ2014, Germany’s GDP contracted 0.1 percent and increased 1.0 percent relative to a year earlier. The GDP of Germany increased 0.1 percent in IIIQ2014 and increased 1.2 percent relative to a year earlier. Germany’s GDP increased 0.7 percent in IVQ2014 and increased 1.6 percent relative to a year earlier.
- United States. Growth of US GDP in IQ2012 was 0.6 percent, at SAAR of 2.3 percent and higher by 2.6 percent relative to IQ2011. US GDP increased 0.4 percent in IIQ2012, 1.6 percent at SAAR and 2.3 percent relative to a year earlier. In IIIQ2012, US GDP grew 0.6 percent, 2.5 percent at SAAR and 2.7 percent relative to IIIQ2011. In IVQ2012, US GDP grew 0.0 percent, 0.1 percent at SAAR and 1.6 percent relative to IVQ2011. In IQ2013, US GDP grew at 2.7 percent SAAR, 0.7 percent relative to the prior quarter and 1.7 percent relative to the same quarter in 2013. In IIQ2013, US GDP grew at 1.8 percent in SAAR, 0.4 percent relative to the prior quarter and 1.8 percent relative to IIQ2012. US GDP grew at 4.5 percent in SAAR in IIIQ2013, 1.1 percent relative to the prior quarter and 2.3 percent relative to the same quarter a year earlier (http://cmpassocregulationblog.blogspot.com/2015/02/financial-and-international.html and earlier http://cmpassocregulationblog.blogspot.com/2014/11/valuations-of-risk-financial-assets.html and earlier http://cmpassocregulationblog.blogspot.com/2014/11/growth-uncertainties-mediocre-cyclical.html) with weak hiring (http://cmpassocregulationblog.blogspot.com/2014/12/global-financial-and-economic-risk.html and earlier http://cmpassocregulationblog.blogspot.com/2014/11/fluctuating-financial-variables.html). In IVQ2013, US GDP grew 0.9 percent at 3.5 percent SAAR and 3.1 percent relative to a year earlier. In IQ2014, US GDP decreased 0.5 percent, increased 1.9 percent relative to a year earlier and fell 2.1 percent at SAAR. In IIQ2014, US GDP increased 1.1 percent at 4.6 percent SAAR and increased 2.6 percent relative to a year earlier. US GDP increased 1.2 percent in IIIQ2014 at 5.0 percent SAAR and increased 2.7 percent relative to a year earlier. In IVQ2014, US GDP increased 0.7 percent at SAAR of 2.6 percent and increased 2.5 percent relative to a year earlier.
- United Kingdom. In IQ2012, UK GDP increased 0.1 percent, increasing 1.0 percent relative to a year earlier. UK GDP fell 0.2 percent in IIQ2012 and increased 0.6 percent relative to a year earlier. UK GDP increased 0.8 percent in IIIQ2012 and increased 0.7 percent relative to a year earlier. UK GDP fell 0.3 percent in IVQ2012 relative to IIIQ2012 and increased 0.4 percent relative to a year earlier. UK GDP increased 0.6 percent in IQ2013 and 0.9 percent relative to a year earlier. UK GDP increased 0.6 percent in IIQ2013 and 1.7 percent relative to a year earlier. In IIIQ2013, UK GDP increased 0.7 percent and 1.6 percent relative to a year earlier. UK GDP increased 0.4 percent in IVQ2013 and 2.4 percent relative to a year earlier. In IQ2014, UK GDP increased 0.6 percent and 2.4 percent relative to a year earlier. UK GDP increased 0.8 percent in IIQ2014 and 2.6 percent relative to a year earlier. In IIIQ2014, UK GDP increased 0.7 percent and increased 2.6 percent relative to a year earlier. UK GDP increased 0.5 percent in IVQ2014 and increased 2.7 percent relative to a year earlier.
- Italy. Italy has experienced decline of GDP in nine consecutive quarters from IIIQ2011 to IIIQ2013 and in IIQ2014 and IIIQ2014. Italy’s GDP fell 0.9 percent in IQ2012 and declined 1.9 percent relative to IQ2011. Italy’s GDP fell 0.4 percent in IIQ2012 and declined 2.4 percent relative to a year earlier. In IIIQ2012, Italy’s GDP fell 0.4 percent and declined 2.5 percent relative to a year earlier. The GDP of Italy contracted 0.8 percent in IVQ2012 and fell 2.5 percent relative to a year earlier. In IQ2013, Italy’s GDP contracted 0.9 percent and fell 2.5 percent relative to a year earlier. Italy’s GDP fell 0.2 percent in IIQ2013 and 2.2 percent relative to a year earlier. The GDP of Italy changed 0.0 percent in IIIQ2013 and declined 1.8 percent relative to a year earlier. Italy’s GDP decreased 0.1 percent in IVQ2013 and decreased 1.2 percent relative to a year earlier. In IQ2014, Italy’s GDP changed 0.0 percent and fell 0.3 percent relative to a year earlier. The GDP of Italy fell 0.2 percent in IIQ2014 and declined 0.4 percent relative to a year earlier. In IIIQ2014, Italy’s GDP contracted 0.1 percent and fell 0.5 percent relative to a year earlier. The GDP of Italy changed 0.0 percent in IVQ20214 and declined 0.3 percent relative to a year earlier
- France. France’s GDP increased 0.2 percent in IQ2012 and increased 0.6 percent relative to a year earlier. France’s GDP decreased 0.3 percent in IIQ2012 and increased 0.4 percent relative to a year earlier. In IIIQ2012, France’s GDP increased 0.2 percent and increased 0.4 percent relative to a year earlier. France’s GDP fell 0.2 percent in IVQ2012 and changed 0.0 percent relative to a year earlier. In IQ2013, France’s GDP changed 0.0 percent and declined 0.2 percent relative to a year earlier. The GDP of France increased 0.7 percent in IIQ2013 and 0.7 percent relative to a year earlier. France’s GDP decreased 0.1 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. In IQ2014, France’s GDP changed 0.0 percent and increased 0.8 percent relative to a year earlier. In IIQ2014, France’s GDP contracted 0.1 percent and changed 0.0 percent relative to a year earlier. France’s GDP increased 0.3 percent in IIIQ2014 and increased 0.4 percent relative to a year earlier. The GDP of France increased 0.1 percent in IVQ2014 and increased 0.2 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: 0.6 SAAR: 2.3 | 2.6 |
Japan | QOQ: 1.1 SAAR: 4.6 | 3.5 |
China | 1.4 | 8.1 |
Euro Area | -0.1 | -0.3 |
Germany | 0.3 | 1.5 |
France | 0.2 | 0.6 |
Italy | -0.9 | -1.9 |
United Kingdom | 0.1 | 1.0 |
IIQ2012/IQ2012 | IIQ2012/IIQ2011 | |
United States | QOQ: 0.4 SAAR: 1.6 | 2.3 |
Japan | QOQ: -0.4 | 3.5 |
China | 2.1 | 7.6 |
Euro Area | -0.3 | -0.6 |
Germany | 0.1 | 0.3 0.8 CA |
France | -0.3 | 0.4 |
Italy | -0.4 | -2.4 |
United Kingdom | -0.2 | 0.6 |
IIIQ2012/ IIQ2012 | IIIQ2012/ IIIQ2011 | |
United States | QOQ: 0.6 | 2.7 |
Japan | QOQ: –0.5 | 0.2 |
China | 2.0 | 7.4 |
Euro Area | -0.1 | -0.8 |
Germany | 0.1 | 0.1 |
France | 0.2 | 0.4 |
Italy | -0.4 | -2.5 |
United Kingdom | 0.8 | 0.7 |
IVQ2012/IIIQ2012 | IVQ2012/IVQ2011 | |
United States | QOQ: 0.0 | 1.6 |
Japan | QOQ: -0.2 SAAR: -0.9 | 0.0 |
China | 1.9 | 7.9 |
Euro Area | -0.4 | -0.9 |
Germany | -0.4 | -0.3 |
France | -0.2 | 0.0 |
Italy | -0.8 | -2.5 |
United Kingdom | -0.3 | 0.4 |
IQ2013/IVQ2012 | IQ2013/IQ2012 | |
United States | QOQ: 0.7 | 1.7 |
Japan | QOQ: 1.5 SAAR: 6.0 | 0.5 |
China | 1.7 | 7.8 |
Euro Area | -0.4 | -1.2 |
Germany | -0.4 | -1.8 |
France | 0.0 | -0.2 |
Italy | -0.9 | -2.5 |
UK | 0.6 | 0.9 |
IIQ2013/IQ2013 | IIQ2013/IIQ2012 | |
United States | QOQ: 0.4 SAAR: 1.8 | 1.8 |
Japan | QOQ: 0.7 SAAR: 3.0 | 1.4 |
China | 1.8 | 7.5 |
Euro Area | 0.3 | -0.6 |
Germany | 0.8 | 0.5 |
France | 0.7 | 0.7 |
Italy | -0.2 | -2.2 |
UK | 0.6 | 1.7 |
IIIQ2013/IIQ2013 | III/Q2013/ IIIQ2012 | |
USA | QOQ: 1.1 | 2.3 |
Japan | QOQ: 0.4 SAAR: 1.6 | 2.2 |
China | 2.3 | 7.9 |
Euro Area | 0.2 | -0.3 |
Germany | 0.3 | 0.8 |
France | -0.1 | 0.3 |
Italy | 0.0 | -1.8 |
UK | 0.7 | 1.6 |
IVQ2013/IIIQ2013 | IVQ2013/IVQ2012 | |
USA | QOQ: 0.9 SAAR: 3.5 | 3.1 |
Japan | QOQ: -0.4 SAAR: -1.5 | 2.3 |
China | 1.8 | 7.6 |
Euro Area | 0.2 | 0.4 |
Germany | 0.4 | 1.0 |
France | 0.3 | 0.8 |
Italy | -0.1 | -1.2 |
UK | 0.4 | 2.4 |
IQ2014/IVQ2013 | IQ2014/IQ2013 | |
USA | QOQ -0.5 SAAR -2.1 | 1.9 |
Japan | QOQ: 1.4 SAAR: 5.8 | 2.5 |
China | 1.6 | 7.4 |
Euro Area | 0.3 | 1.1 |
Germany | 0.8 | 2.6 |
France | 0.0 | 0.8 |
Italy | 0.0 | -0.3 |
UK | 0.6 | 2.4 |
IIQ2014/IQ2014 | IIQ2014/IIQ2013 | |
USA | QOQ 1.1 SAAR 4.6 | 2.6 |
Japan | QOQ: -1.7 SAAR: -6.7 | -0.3 |
China | 1.9 | 7.5 |
Euro Area | 0.1 | 0.8 |
Germany | -0.1 | 1.0 |
France | -0.1 | 0.0 |
Italy | -0.2 | -0.4 |
UK | 0.8 | 2.6 |
IIIQ2014/IIQ2014 | IIIQ2014/IIIQ2013 | |
USA | QOQ: 1.2 SAAR: 5.0 | 2.7 |
Japan | QOQ: -0.5 SAAR: -1.9 | -1.3 |
China | 1.9 | 7.3 |
Euro Area | 0.2 | 0.8 |
Germany | 0.1 | 1.2 |
France | 0.3 | 0.4 |
Italy | -0.1 | -0.4 |
UK | 0.7 | 2.6 |
IVQ2014/IIIQ2014 | IVQ2014/IVQ2013 | |
USA | QOQ: 0.7 SAAR: 2.6 | 2.5 |
China | 1.5 | 7.3 |
Euro Area | 0.3 | 0.9 |
Germany | 0.7 | 1.6 |
France | 0.1 | 0.2 |
Italy | 0.0 | -0.3 |
UK | 0.5 | 2.7 |
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 (http://cmpassocregulationblog.blogspot.com/2015/02/financial-and-international.html and earlier http://cmpassocregulationblog.blogspot.com/2014/12/patience-on-interest-rate-increases.html and earlier (http://cmpassocregulationblog.blogspot.com/2014/11/squeeze-of-economic-activity-by-carry.html and earlier http://cmpassocregulationblog.blogspot.com/2014/09/world-inflation-waves-squeeze-of.html and earlier http://cmpassocregulationblog.blogspot.com/2014/08/monetary-policy-world-inflation-waves.html and earlier http://cmpassocregulationblog.blogspot.com/2014/07/world-inflation-waves-united-states.html and earlier (http://cmpassocregulationblog.blogspot.com/2014/06/valuation-risks-world-inflation-waves.html and earlier http://cmpassocregulationblog.blogspot.com/2014/05/united-states-commercial-banks-assets.html and earlier http://cmpassocregulationblog.blogspot.com/2014/05/financial-volatility-mediocre-cyclical.html and earlier http://cmpassocregulationblog.blogspot.com/2014/03/interest-rate-risks-world-inflation.html and earlier http://cmpassocregulationblog.blogspot.com/2014/03/financial-risks-slow-cyclical-united.html 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 Dec 2014, Japan’s exports increased 12.9 percent in 12 months while imports increased 1.9 percent. The second part of Table V-4 shows that net trade deducted 1.5 percentage points from Japan’s growth of GDP in IIQ2012, deducted 1.9 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 0.2 percentage points in IIQ2013. In IIIQ2013, net trade deducted 1.6 percentage points from GDP growth in Japan. Net trade ducted 2.4 percentage points from GDP growth in Japan in IVQ2013. Net trade deducted 0.8 percentage point from GDP growth of Japan in IQ2014. Net trade added 4.2 percentage points to GDP growth in IIQ2014. Net trade added 0.3 percentage points to GDP growth in IIIQ2014.
- China. In Jan 2015, China exports decreased 3.3 percent relative to a year earlier and imports decreased 19.9 percent.
- Germany. Germany’s exports increased 3.4 percent in the month of Dec 2014 and increased 10.0 percent in the 12 months ending in Dec 2014. Germany’s imports decreased 0.8 percent in the month of Dec 2014 and increased 4.0 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 0.3 percentage points in IQ2013 and added 0.1 percentage points in IIQ2013. Net traded deducted 0.5 percentage points from Germany’s GDP growth in IIIQ2013 and added 0.5 percentage points to GDP growth in IVQ2013. Net trade deducted 0.1 percentage points from GDP growth in IQ2014. Net trade added 0.1 percentage points to GDP growth in IIQ2014 and added 0.2 percentage points in IIIQ2014.
- United Kingdom. Net trade contributed 0.7 percentage points in IIQ2013. In IIIQ2013, net trade deducted 1.7 percentage points from UK growth. Net trade contributed 0.1 percentage points to UK value added in IVQ2013. Net trade contributed 0.6 percentage points to UK value added in IQ2014 and 0.3 percentage points in IIQ2014. Net trade deducted 0.2 percentage points to GDP growth in IIIQ2014.
- France. France’s exports increased 1.8 percent in Dec 2014 while imports increased 2.6 percent. France’s exports increased 3.7 percent in the 12 months ending in Dec 2014 and imports decreased 1.4 percent relative to a year earlier. 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 0.3 percentage points in IIQ2013, deducting 1.7 percentage points in IIIQ2013. Net trade added 0.1 percentage points to France’s GDP in IVQ2013 and deducted 0.1 percentage points in IQ2014. Net trade deducted 0.2 percentage points from France’s GDP growth in IIQ2014 and deducted 0.2 percentage points in IIIQ2014. Net trade added 0.1 percentage points to France’s GDP growth in IVQ2014.
- United States. US exports increased 0.8 percent in Dec 2014 and goods exports increased 2.8 percent in Jan-Dec 2014 relative to a year earlier. Imports increased 2.2 percent in Dec 2014 and goods imports increased 3.04 percent in Jan-Dec 2014 relative to a year earlier. Net trade deducted 0.04 percentage points from GDP growth in IIQ2012 and added 0.39 percentage points in IIIQ2012 and 0.79 percentage points in IVQ2012. Net trade deducted 0.08 percentage points from US GDP growth in IQ2013 and deducted 0.54 percentage points in IIQ2013. Net traded added 0.59 percentage points to US GDP growth in IIIQ2013. Net trade added 1.08 percentage points to US GDP growth in IVQ2013. Net trade deducted 1.66 percentage points from US GDP growth in IQ2014 and deducted 0.34 percentage points in IIQ2014. Net trade added 0.78 percentage points to IIIQ2014. Industrial production decreased 0.1 percent in Dec 2014 and increased 1.3 percent in Nov 2014 after changing 0.0 percent in Oct 2014, with all data seasonally adjusted. The Federal Reserve completed its annual revision of industrial production and capacity utilization on Mar 28, 2014 (http://www.federalreserve.gov/releases/g17/revisions/Current/DefaultRev.htm). 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 0.1 percent in December after rising 1.3 percent in November. The decrease in December reflected a sharp drop in the output of utilities, as warmer-than-usual temperatures reduced demand for heating; excluding utilities, industrial production rose 0.7 percent. Manufacturing posted a gain of 0.3 percent for its fourth consecutive monthly increase. The index for mining increased 2.2 percent after falling in the previous two months. At 106.5 percent of its 2007 average, total industrial production in December was 4.9 percent above its level of a year earlier. For the fourth quarter of 2014 as a whole, industrial production advanced at an annual rate of 5.6 percent, with widespread gains among the major market and industry groups. Capacity utilization for the industrial sector decreased 0.3 percentage point in December to 79.7 percent, a rate that is 0.4 percentage point below its long-run (1972–2013) average.”
In the six months ending in Dec 2014, United States national industrial production accumulated increase of 2.3 percent at the annual equivalent rate of 4.7 percent, which is lower than growth of 4.9 percent in the 12 months ending in Dec 2014. Excluding growth of 1.3 percent in Nov 2014, growth in the remaining five months from Jul to Dec 2014 accumulated to 1.0 percent or 2.4 percent annual equivalent. Industrial production declined in two of the past six months. Industrial production expanded at annual equivalent 4.9 percent in the most recent quarter from Oct to Dec 2014 and at 4.5 percent in the prior quarter Jul to Sep 2014. Business equipment accumulated growth of 3.3 percent in the six months from Jul to Dec 2014 at the annual equivalent rate of 6.8 percent, which is lower than growth of 7.5 percent in the 12 months ending in Dec 2014. The Fed analyzes capacity utilization of total industry in its report (http://www.federalreserve.gov/releases/g17/Current/default.htm): “Capacity utilization for the industrial sector decreased 0.3 percentage point in December to 79.7 percent, a rate that is 0.4 percentage point below its long-run (1972–2013) average.” United States industry apparently decelerated to a lower growth rate followed by possible acceleration and stronger growth in past months.
Manufacturing fell 21.9 from the peak in Jun 2007 to the trough in Apr 2009 and increased by 25.9 percent from the trough in Apr 2009 to Dec 2014. Manufacturing grew 25.9 percent from the trough in Apr 2009 to Dec 2014. Manufacturing output in Dec 2014 is 1.7 percent below the peak in Jun 2007. Growth at trend in the entire cycle from IVQ2007 to IIIQ2014 would have accumulated to 23.0 percent. GDP in IIIQ2014 would be $18,438.0 billion (in constant dollars of 2009) if the US had grown at trend, which is higher by $2,232.4 billion than actual $16,205.6 billion. There are about two trillion dollars of GDP less than at trend, explaining the 25.9 million unemployed or underemployed equivalent to actual unemployment of 15.7 percent of the effective labor force (http://cmpassocregulationblog.blogspot.com/2015/01/fluctuating-valuations-of-risk.html and earlier (http://cmpassocregulationblog.blogspot.com/2014/12/financial-risks-twenty-six-million.html). US GDP in IIIQ2014 is 12.1 percent lower than at trend. US GDP grew from $14,991.8 billion in IVQ2007 in constant dollars to $16,205.1 billion in IIIQ2014 or 8.1 percent at the average annual equivalent rate of 1.1 percent. Cochrane (2014Jul2) estimates US GDP at more than 10 percent below trend. The US missed the opportunity to grow at higher rates during the expansion and it is difficult to catch up because growth rates in the final periods of expansions tend to decline. The US missed the opportunity for recovery of output and employment always afforded in the first four quarters of expansion from recessions. Zero interest rates and quantitative easing were not required or present in successful cyclical expansions and in secular economic growth at 3.0 percent per year and 2.0 percent per capita as measured by Lucas (2011May). There is cyclical uncommonly slow growth in the US instead of allegations of secular stagnation. There is similar behavior in manufacturing. The long-term trend is growth at average 3.3 percent per year from Jan 1919 to Dec 2014. Growth at 3.3 percent per year would raise the NSA index of manufacturing output from 99.2392 in Dec 2007 to 124.5620 in Dec 2014. The actual index NSA in Dec 2014 is 101.2840, which is 18.7 percent below trend. Manufacturing output grew at average 2.4 percent between Dec 1986 and Dec 2014, raising the index at trend to 117.1610 in Dec 2014. The output of manufacturing at 101.2840 in Dec 2014 is 13.6 percent below trend under this alternative calculation.
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 | 0.8 Dec | 2.8 Jan-Dec | 2.2 Nov | 3.4 Jan-Dec |
Japan | Dec 12.9 Nov 4.9 Oct 9.6 Sep 6.9 Aug -1.3 Jul 3.9 Jun -2.0 May 2014 -2.7 Apr 2014 5.1 Mar 2014 1.8 Feb 2014 9.5 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 | Dec 1.9 Nov -1.7 Oct 2.7 Sep 6.2 Aug -1.5 Jul 2.3 Jun 8.4 May 2014 -3.6 Apr 2013 3.4 Mar 2014 18.1 Feb 2014 9.0 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 | 2015 -3.3 Jan 2014 9.7 Dec 4.7 Nov 11.6 Oct 15.3 Sep 9.4 Aug 14.5 Jul 7.2 Jun 7.0 May 0.9 Apr -6.6 Mar -18.1 Feb 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 | 2015 -19.9 Jan 2014 -2.4 Dec -6.7 Nov 4.6 Oct 7.0 Sep -2.4 Aug -1.6 Jul 5.5 Jun -1.6 May -0.8 Apr -11.3 Mar 10.1 Feb 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 | 0.6 12-M Nov | 1.8 Jan-Nov | -1.8 12-M Nov | 0.0 Jan-Nov |
Germany | 3.4 Dec CSA | 10.0 Dec | -0.8 Dec CSA | 4.0 Nov |
France Dec | 1.8 | 3.7 | 2.6 | -1.4 |
Italy Nov | -1.1 | 1.7 | -0.1 | 0.0 |
UK | -0.2 Dec | -0.1 Oct-Dec 14 /Oct-Dec 13 | -2.2 Dec | -2.2 Oct-Dec 14/Oct-Dec 13 |
Net Trade % Points GDP Growth | % Points | |||
USA | IIIQ2014 0.78 IIQ2014 -0.34 IQ2014 -1.66 IVQ2013 1.08 IIIQ2013 0.59 IIQ2013 -0.54 IQ2013 -0.08 IVQ2012 +0.79 IIIQ2012 0.39 IIQ2012 -0.04 IQ2012 -0.11 | |||
Japan | 0.4 IQ2012 -1.5 IIQ2012 -1.9 IIIQ2012 -0.5 IVQ2012 1.7 IQ2013 0.2 IIQ2013 -1.5 IIIQ2013 -2.3 IVQ2013 -0.8 IQ2014 4.2 IIQ2014 0.3 IIIQ2014 | |||
Germany | IQ2012 0.8 IIQ2012 0.4 IIIQ2012 0.3 IVQ2012 -0.5 IQ2013 -0.3 IIQ2013 0.1 IIIQ2013 -0.5 IVQ2013 0.5 IQ2014 -0.1 IIQ2014 0.1 IIIQ2014 0.2 | |||
France | 0.1 IIIQ2012 0.1 IVQ2012 -0.1 IQ2013 0.3 IIQ2013 -1.7 IIIQ2013 0.1 IVQ2013 -0.1 IQ2014 -0.2 IIQ2014 -0.2 IIIQ2014 0.1 IVQ2014 | |||
UK | 0.7 IIQ2013 -1.7 IIIQ2013 0.1 IVQ2013 0.6 IQ2014 0.3 IIQ2014 -0.2 IIIQ2014 |
Sources: Country Statistical Agencies http://www.census.gov/foreign-trade/
The geographical breakdown of exports and imports of Japan with selected regions and countries is provided in Table V-5 for Dec 2014. The share of Asia in Japan’s trade is close to one-half for 54.1 percent of exports and 46.0 percent of imports. Within Asia, exports to China are 18.4 percent of total exports and imports from China 22.6 percent of total imports. While exports to China increased 4.3 percent in the 12 months ending in Dec 2014, imports from China increased 6.8 percent. The largest export market for Japan in Dec 2014 is the US with share of 20.3 percent of total exports, which is close to that of China, and share of imports from the US of 8.7 percent in total imports. Japan’s exports to the US increased 23.7 percent in the 12 months ending in Dec 2014 and imports from the US decreased 22.4 percent. Western Europe has share of 10.5 percent in Japan’s exports and of 9.8 percent in imports. Rates of growth of exports of Japan in Dec 2014 are 23.7 percent for exports to the US, 13.6 percent for exports to Brazil and minus 3.5 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 Dec 2014 are mixed. Imports from Asia increased 7.6 percent in the 12 months ending in Dec 2014 while imports from China increased 6.8 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-5, Japan, Value and 12-Month Percentage Changes of Exports and Imports by Regions and Countries, ∆% and Millions of Yen
Dec 2014 | Exports | 12 months ∆% | Imports Millions Yen | 12 months ∆% |
Total | 6,896,467 | 12.9 | 7,557,180 | 1.9 |
Asia | 3,727,702 % Total 54.1 | 11.0 | 3,476,931 % Total 46.0 | 7.6 |
China | 1,267,729 % Total 18.4 | 4.3 | 1,710,736 % Total 22.6 | 6.8 |
USA | 1,397,957 % Total 20.3 | 23.7 | 659,331 % Total 8.7 | 22.4 |
Canada | 85,270 | 22.7 | 95,371 | 0.1 |
Brazil | 47,640 | 13.6 | 82,948 | -9.3 |
Mexico | 116,511 | 45.1 | 40,518 | 16.8 |
Western Europe | 726,827 % Total 10.5 | 6.8 | 738,401 % Total 9.8 | -4.5 |
Germany | 172,628 | -3.5 | 223,787 | -7.9 |
France | 60,967 | -2.4 | 89,727 | 0.3 |
UK | 127,481 | 17.2 | 59,662 | 7.8 |
Middle East | 306,959 | 27.1 | 1,233,711 | -18.9 |
Australia | 116,466 | -6.5 | 489,214 | 8.6 |
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 3.0 percent in 2013 to 5.0 percent in 2015 and 5.6 percent on average from 2016 to 2019. World trade would be slower for advanced economies while emerging and developing economies (EMDE) experience faster growth. World economic slowdown would be more challenging with lower growth of world trade.
Table V-6, IMF, Projections of World Trade, USD Billions, USD/Barrel and Annual ∆%
2013 | 2014 | 2015 | Average ∆% 2016-2019 | |
World Trade Volume (Goods and Services) | 3.0 | 3.8 | 5.0 | 5.6 |
Exports Goods & Services | 3.2 | 3.7 | 5.0 | 5.5 |
Imports Goods & Services | 2.8 | 3.9 | 5.0 | 5.6 |
World Trade Value of Exports Goods & Services USD Billion | 23,114 | 23,928 | 24,948 | Average ∆% 2006-2015 20,259 |
Value of Exports of Goods USD Billion | 18,671 | 19,299 | 20,107 | Average ∆% 2006-2015 16,312 |
Average Oil Price USD/Barrel | 104.07 | 102.76 | 99.36 | Average ∆% 2006-2015 88.85 |
Average Annual ∆% Export Unit Value of Manufactures | -1.1 | -0.2 | -0.5 | Average ∆% 2006-2015 -0.6 |
Exports of Goods & Services | 2013 | 2014 | 2015 | Average ∆% 2016-2019 |
Euro Area | 1.8 | 3.5 | 4.3 | 4.7 |
EMDE | 4.4 | 3.9 | 5.8 | 6.1 |
G7 | 1.8 | 2.9 | 4.2 | 4.9 |
Imports Goods & Services | ||||
Euro Area | 0.5 | 3.4 | 3.9 | 4.7 |
EMDE | 5.3 | 4.4 | 6.1 | 6.3 |
G7 | 1.2 | 3.6 | 4.1 | 4.9 |
Terms of Trade of Goods & Services | ||||
Euro Area | 0.8 | -0.4 | -0.3 | -0.1 |
EMDE | -0.2 | -0.02 | -0.6 | -0.4 |
G7 | 0.8 | 0.7 | -0.2 | 0.0 |
Terms of Trade of Goods | ||||
Euro Area | 1.2 | 0.03 | -0.02 | -0.2 |
EMDE | -0.2 | 0.2 | -0.4 | -0.3 |
G7 | 0.9 | 0.3 | -0.1 | -0.1 |
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/ns/cs.aspx?id=28
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 52.8 in Jan from 52.4 in Dec, indicating expansion at slightly higher rate (http://www.markiteconomics.com/Survey/PressRelease.mvc/aa9e75bbcfac4fea8622b22632b5d42c). This index has remained above the contraction territory of 50.0 during 66 consecutive months. The employment index increased from 51.1 in Dec to 51.6 in Jan with input prices rising at slower rate, new orders increasing at slower rate and output increasing at faster rate (http://www.markiteconomics.com/Survey/PressRelease.mvc/aa9e75bbcfac4fea8622b22632b5d42c). David Hensley, Director of Global Economic Coordination at JP Morgan, finds moderate world economic growth (http://www.markiteconomics.com/Survey/PressRelease.mvc/aa9e75bbcfac4fea8622b22632b5d42c). The JP Morgan Global Manufacturing PMI™, produced by JP Morgan and Markit in association with ISM and IFPSM, increased to 51.7 in Jan from 51.5 in Dec (http://www.markiteconomics.com/Survey/PressRelease.mvc/52b184024a1446779fe747f37d5df0ef). New export orders expanded for the eighteenth consecutive month. David Hensley, Director of Global Economics Coordination at JP Morgan Chase, finds continuing growth in global manufacturing with output increasing at around annual 3.5 percent (http://www.markiteconomics.com/Survey/PressRelease.mvc/52b184024a1446779fe747f37d5df0ef). The HSBC Brazil Composite Output Index, compiled by Markit, was unchanged from 49.2 in Dec to 49.2 in Jan, indicating moderate contraction in activity of Brazil’s private sector (http://www.markiteconomics.com/Survey/PressRelease.mvc/480418ba2f0d48e0a716f5737527d8d8). The HSBC Brazil Services Business Activity index, compiled by Markit, decreased from 49.1 in Dec to 48.4 in Jan, indicating marginally contracting services activity (http://www.markiteconomics.com/Survey/PressRelease.mvc/480418ba2f0d48e0a716f5737527d8d8). André Loes, Chief Economist, Brazil, at HSBC, finds faster pace of contraction (http://www.markiteconomics.com/Survey/PressRelease.mvc/480418ba2f0d48e0a716f5737527d8d8). The HSBC Brazil Purchasing Managers’ IndexTM (PMI™) increased from 50.2 in Dec to 50.7 in Jan, indicating moderate improvement in manufacturing (http://www.markiteconomics.com/Survey/PressRelease.mvc/76ee5ab696c44271ac7eaa6e6da02cea). André Loes, Chief Economist, Brazil at HSBC, finds increasing output and cost-push pressures perhaps because of currency depreciation (http://www.markiteconomics.com/Survey/PressRelease.mvc/76ee5ab696c44271ac7eaa6e6da02cea).
VA United States. The Markit Flash US Manufacturing Purchasing Managers’ Index™ (PMI™) seasonally adjusted decreased to 53.7 in Jan from 53.9 in Dec (http://www.markiteconomics.com/Survey/PressRelease.mvc/80042dee6d574c69b28052f0ba16d999). New export orders increased moderately. Chris Williamson, Chief Economist at Markit, finds that manufacturing is growing with weakness in new orders (http://www.markiteconomics.com/Survey/PressRelease.mvc/80042dee6d574c69b28052f0ba16d999). The Markit Flash US Services PMI™ Business Activity Index increased from 53.3 in Dec to 54.0 in Jan (http://www.markiteconomics.com/Survey/PressRelease.mvc/3b941f12d3724e4cb923968e1f814a36). The Markit Flash US Composite PMI™ Output Index in from 53.5 in Dec to 54.2 in Jan. Chris Williamson, Chief Economist at Markit, finds that the surveys are consistent with growth of GDP around 2.5 percent (http://www.markiteconomics.com/Survey/PressRelease.mvc/3b941f12d3724e4cb923968e1f814a36). The Markit US Composite PMI™ Output Index of Manufacturing and Services increased to 54.4 in Jan from 53.5 in Dec (http://www.markiteconomics.com/Survey/PressRelease.mvc/4df1e15f72dc47a89ba23d0f062c1360). The Markit US Services PMI™ Business Activity Index increased from 53.3 in Dec to 54.2 in Jan (http://www.markiteconomics.com/Survey/PressRelease.mvc/4df1e15f72dc47a89ba23d0f062c1360). Chris Williamson, Chief Economist at Markit, finds the indexes consistent with US growth at around 2.0 percent annual in IQ2015 (http://www.markiteconomics.com/Survey/PressRelease.mvc/4df1e15f72dc47a89ba23d0f062c1360). The Markit US Manufacturing Purchasing Managers’ Index™ (PMI™) did not change to 53.9 in Jan from 53.9 in Dec, which indicates expansion at the same rate (http://www.markiteconomics.com/Survey/PressRelease.mvc/dce95357995b45edbcf2bd17561b8f94). New foreign orders expanded at moderate rate. Chris Williamson, Chief Economist at Markit, finds that the index suggests slowing but strong manufacturing with GDP growth possibly lower in IQ2015 than 2.6 percent SAAR in IVQ2014 (http://www.markiteconomics.com/Survey/PressRelease.mvc/dce95357995b45edbcf2bd17561b8f94). The purchasing managers’ index (PMI) of the Institute for Supply Management (ISM) Report on Business® decreased 1.6 percentage points from 55.1 in Dec to 53.5 in Jan, which indicates growth at slower rate (http://www.ism.ws/ISMReport/MfgROB.cfm?navItemNumber=12942). The index of new orders decreased 4.9 percentage points from 57.8 in Dec to 52.9 in Jan. The index of new export orders decreased 2.5 percentage points from 52.0 in Dec to 49.5 in Jan, contracting at moderate rate. The Non-Manufacturing ISM Report on Business® PMI increased 0.2 percentage points from 56.5 in Dec to 56.7 in Jan, indicating growth of business activity/production during 66 consecutive months, while the index of new orders increased 0.3 percentage points from 59.2 in Dec to 59.5 in Jan (http://www.ism.ws/ISMReport/NonMfgROB.cfm?navItemNumber=28744). Table USA provides the country economic indicators for the US.
Table USA, US Economic Indicators
Consumer Price Index | Dec 12 months NSA ∆%: 0.8; ex food and energy ∆%: 1.6 Dec month SA ∆%: -0.4; ex food and energy ∆%: 0.0 |
Producer Price Index | Finished Goods Dec 12-month NSA ∆%: -0.5; ex food and energy ∆% 1.8 Final Demand Dec 12-month NSA ∆%: 1.1; ex food and energy ∆% 2.1 |
PCE Inflation | Dec 12-month NSA ∆%: headline 0.7; ex food and energy ∆% 1.3 |
Employment Situation | Household Survey: Jan Unemployment Rate SA 5.7% |
Nonfarm Hiring | Nonfarm Hiring fell from 63.3 million in 2006 to 54.2 million in 2013 or by 9.1 million |
GDP Growth | BEA Revised National Income Accounts IIQ2012/IIQ2011 2.3 IIIQ2012/IIIQ2011 2.7 IVQ2012/IVQ2011 1.6 IQ2013/IQ2012 1.7 IIQ2013/IIQ2012 1.8 IIIQ2013/IIIQ2012 2.3 IVQ2013/IVQ2012 3.1 IQ2014/IQ2013 1.9 IIQ2014/IIQ2013 2.6 IIIQ2014/IIIQ2013 2.7 IVQ2014/IVQ2013 2.5 IQ2012 SAAR 2.3 IIQ2012 SAAR 1.6 IIIQ2012 SAAR 2.5 IVQ2012 SAAR 0.1 IQ2013 SAAR 2.7 IIQ2013 SAAR 1.8 IIIQ2013 SAAR 4.5 IVQ2013 SAAR 3.5 IQ2014 SAAR -2.1 IIQ2014 SAAR 4.6 IIIQ2014 SAAR 5.0 IVQ2014 SAAR 2.6 |
Real Private Fixed Investment | SAAR IVQ2014 2.3 ∆% IVQ2007 to IVQ2014: 2.8% Blog 2/1/15 |
Corporate Profits | IIIQ2014 SAAR: Corporate Profits 3.1; Undistributed Profits 12.4 Blog 12/28/14 |
Personal Income and Consumption | Dec month ∆% SA Real Disposable Personal Income (RDPI) SA ∆% 0.5 |
Quarterly Services Report | IIIQ14/IIIQ13 NSA ∆%: Financial & Insurance 4.8 |
Employment Cost Index | Compensation Private IVQ2014 SA ∆%: 0.6 |
Industrial Production | Dec month SA ∆%: -0.1 Manufacturing Dec SA 0.3 ∆% Dec 12 months SA ∆% 4.9, NSA 5.0 |
Productivity and Costs | Nonfarm Business Productivity IVQ2014∆% SAAE -1.8; IVQ2014/IVQ2013 ∆% 0.0; Unit Labor Costs SAAE IVQ2014 ∆% 2.7; IVQ2014/IVQ2013 ∆%: 1.9 Blog 2/8/15 |
New York Fed Manufacturing Index | General Business Conditions From Dec-1.23 to Jan 9.95 |
Philadelphia Fed Business Outlook Index | General Index from Dec 24.3 to Jan 6.3 |
Manufacturing Shipments and Orders | New Orders SA Dec ∆% -3.4 Ex Transport -2.3 Jan-Dec NSA New Orders ∆% 2.8 Ex transport 1.9 |
Durable Goods | Dec New Orders SA ∆%: minus 3.4; ex transport ∆%: minus 0.8 |
Sales of New Motor Vehicles | Jan 2015 1,151.123; Jan 2014 1,012,582. Jan 15 SAAR 16.66 million, Dec 14 SAAR 16.92 million, Jan 2014 SAAR 15.29 million Blog 2/8/15 |
Sales of Merchant Wholesalers | Jan-Dec 2014/Jan-Dec 2013 NSA ∆%: Total 5.1; Durable Goods: 5.8; Nondurable |
Sales and Inventories of Manufacturers, Retailers and Merchant Wholesalers | Dec 14 12-M NSA ∆%: Sales Total Business 2.8; Manufacturers 0.1 |
Sales for Retail and Food Services | Jan 2015/Jan 2014 ∆%: Retail and Food Services 2.8; Retail ∆% 1.6 |
Value of Construction Put in Place | Dec SAAR month SA ∆%: minus 0.4 Dec 12-month NSA: 3.3 |
Case-Shiller Home Prices | Nov 2014/Nov 2013 ∆% NSA: 10 Cities 4.7; 20 Cities: 4.3; National: 4.7 |
FHFA House Price Index Purchases Only | Nov SA ∆% 0.8; |
New House Sales | Dec 2014 month SAAR ∆%: minus 11.6 |
Housing Starts and Permits | Dec Starts month SA ∆% 4.4; Permits ∆%: -1.9 |
Trade Balance | Balance Dec SA -$46,557 million versus Nov -$39,751 million |
Export and Import Prices | Jan 12-month NSA ∆%: Imports -8.0; Exports -5.4 |
Consumer Credit | Dec ∆% annual rate: Total 5.4; Revolving 7.9; Nonrevolving 4.5 |
Net Foreign Purchases of Long-term Treasury Securities | Nov Net Foreign Purchases of Long-term US Securities: $33.5 billion |
Treasury Budget | Fiscal Year 2015/2014 ∆% Jan: Receipts 8.7; Outlays 8.3; Individual Income Taxes 8.2 Deficit Fiscal Year 2012 $1,087 billion Deficit Fiscal Year 2013 $680 billion Deficit Fiscal Year 2014 $483 billion Blog 2/15/2015 |
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 $11,983 B 72.0% GDP 2024 Deficit $960B, 3.6% GDP Debt $20,554B 77.2% GDP 2039: Long-term Debt/GDP 106% Blog 8/26/12 11/18/12 2/10/13 9/22/13 2/16/14 8/24/14 9/14/14 |
Commercial Banks Assets and Liabilities | Dec 2014 SAAR ∆%: Securities 24.2 Loans 7.1 Cash Assets -52.4 Deposits 7.6 Blog 1/25/15 |
Flow of Funds Net Worth of Families and Nonprofits | IIIQ2014 ∆ since 2007 Assets +$14,260.8 BN Nonfinancial $477.8 BN Real estate -$1,215.2 BN Financial +13,783.0 BN Net Worth +$14,595.3 BN Blog 12/28/14 |
Current Account Balance of Payments | IIIQ2014 -202,280 MM % GDP 2.3 Blog 12/21/14 |
Collapse of United States Dynamism of Income Growth and Employment Creation | Blog 1/25/15 |
Links to blog comments in Table USA:
2/8/15 http://cmpassocregulationblog.blogspot.com/2015/02/job-creation-and-monetary-policy-twenty.html
2/1/15 http://cmpassocregulationblog.blogspot.com/2015/02/financial-and-international.html
1/25/15 http://cmpassocregulationblog.blogspot.com/2015/01/competitive-currency-conflicts-world.html
1/18/15 http://cmpassocregulationblog.blogspot.com/2015/01/exchange-rate-conflicts-squeeze-of.html
1/11/15 http://cmpassocregulationblog.blogspot.com/2015/01/fluctuating-valuations-of-risk.html
12/28/14 http://cmpassocregulationblog.blogspot.com/2014/12/valuations-of-risk-financial-assets.html
12/21/14 http://cmpassocregulationblog.blogspot.com/2014/12/patience-on-interest-rate-increases.html
12/14/14 http://cmpassocregulationblog.blogspot.com/2014/12/global-financial-and-economic-risk.html
12/7/14 http://cmpassocregulationblog.blogspot.com/2014/12/financial-risks-twenty-six-million.html
9/14/14 http://cmpassocregulationblog.blogspot.com/2014/09/geopolitics-monetary-policy-and.html
8/24/14 http://cmpassocregulationblog.blogspot.com/2014/08/monetary-policy-world-inflation-waves.html
8/3/14 http://cmpassocregulationblog.blogspot.com/2014/08/fluctuating-financial-valuations.html
2/16/14 http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.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
Sales of manufacturers decreased 1.1 percent in Dec 2014 after decreasing 0.3 percent in Nov and increased 0.1 percent in the 12 months ending in Dec, as shown in Table VA-1. Retailers’ sales decreased 1.1 percent in Dec 2014 after increasing 0.5 percent in Nov and increased 4.3 percent in 12 months ending in Dec 2014. Sales of merchant wholesalers decreased 0.4 percent in Dec, increased 0.1 percent in Nov and increased 4.3 percent in 12 months ending in Dec. Sales of total business decreased 0.9 percent in Dec after increasing 0.1 percent in Nov and increased 2.8 percent in 12 months.
Table VA-1, US, Percentage Changes for Sales of Manufacturers, Retailers and Merchant Wholesalers
Dec 14/Nov 14 | Dec 2014 | Nov 14/ Oct 14 ∆% SA | Dec 14/ Dec 13 | |
Total Business | -0.9 | 1,397,007 | 0.1 | 2.8 |
Manufacturers | -1.1 | 480,639 | -0.3 | 0.1 |
Retailers | -1.1 | 455,745 | 0.5 | 4.3 |
Merchant Wholesalers | -0.4 | 460,623 | 0.1 | 4.3 |
Source: US Census Bureau http://www.census.gov/mtis/
Chart VA-1 of the US Census Bureau provides total US sales of manufacturing, retailers and wholesalers seasonally adjusted (SA) in millions of dollars. The series with adjustment evens fluctuations following seasonal patterns. There is sharp recovery from the global recession in a robust trend, which is mixture of price and quantity effects because data are not adjusted for price changes. There is stability in the final segment.
Chart VA-1, US, Total Business Sales of Manufacturers, Retailers and Merchant Wholesalers, SA, Millions of Dollars, Jan 1992-Dec 2014
US Census Bureau http://www.census.gov/mtis/
Chart VA-2 of the US Census Bureau provides total US sales of manufacturing, retailers and wholesalers not seasonally adjusted (NSA) in millions of dollars. The series without adjustment shows sharp jagged behavior because of monthly fluctuations following seasonal patterns. There is sharp recovery from the global recession in a robust trend, which is mixture of price and quantity effects because data are not adjusted for price changes. There is stability in the final segment with monthly marginal weakness.
Chart VA-2, US, Total Business Sales of Manufacturers, Retailers and Merchant Wholesalers, NSA, Millions of Dollars, Jan 1992-Dec 2014
US Census Bureau
Businesses added cautiously to inventories to replenish stocks. Retailers’ inventories increased 0.5 percent in Dec 2014 and decreased 0.3 percent in Nov with growth of 2.8 percent in 12 months, as shown in Table VA-2. Total business increased inventories by 0.1 percent in Dec, 0.2 percent in Nov and 3.9 percent in 12 months. Inventories sales/ratios of total business continued at a level close to 1.30 under careful management to avoid costs and risks. Inventory/sales ratios of manufacturers and retailers are higher than for merchant wholesalers. There is stability in inventory/sales ratios in individual months and relative to a year earlier.
Table VA-2, US, Percentage Changes for Inventories of Manufacturers, Retailers and Merchant Wholesalers and Inventory/Sales Ratios
Inventory Change | Dec 14 | Dec 14/ Nov 14 ∆% SA | Nov 14/ Oct 14 ∆% SA | Dec 14/ Dec 13 ∆% NSA |
Total Business | 1,739,926 | 0.1 | 0.2 | 3.9 |
Manufacturers | 634,786 | -0.3 | 0.0 | 2.5 |
Retailers | 557,008 | 0.5 | -0.3 | 2.8 |
Merchant | 548,132 | 0.1 | 0.8 | 6.7 |
Inventory/ | Dec 14 | Nov 2014 SA | Oct 2014 SA | Sep 2013 SA |
Total Business | 1,739,926 | 1.33 | 1.31 | 1.29 |
Manufacturers | 634,786 | 1.34 | 1.33 | 1.29 |
Retailers | 557,008 | 1.43 | 1.41 | 1.43 |
Merchant Wholesalers | 548,132 | 1.22 | 1.21 | 1.16 |
US Census Bureau
Chart VA-3 of the US Census Bureau provides total business inventories of manufacturers, retailers and merchant wholesalers seasonally adjusted (SA) in millions of dollars from Jan 1992 to Dec 2014. The impact of the two recessions of 2001 and IVQ2007 to IIQ2009 is evident in the form of sharp reductions in inventories. Inventories have surpassed the peak before the global recession. Data are not adjusted for price changes.
Chart VA-3, US, Total Business Inventories of Manufacturers, Retailers and Merchant Wholesalers, SA, Millions of Dollars, Jan 1992-Dec 2014
US Census Bureau http://www.census.gov/mtis/
Chart VA-4 provides total business inventories of manufacturers, retailers and merchant wholesalers not seasonally adjusted (NSA) from Jan 1992 to Dec 2014 in millions of dollars. The recessions of 2001 and IVQ2007 to IIQ2009 are evident in the form of sharp reductions of inventories. There is sharp upward trend of inventory accumulation after both recessions. Total business inventories are higher than in the peak before the global recession.
Chart VA-4, US, Total Business Inventories of Manufacturers, Retailers and Merchant Wholesalers, NSA, Millions of Dollars, Jan 1992-Dec 2014
US Census Bureau http://www.census.gov/mtis/
Inventories follow business cycles. When recession hits sales inventories pile up, declining with expansion of the economy. In a fascinating classic opus, Lloyd Meltzer (1941, 129) concludes:
“The dynamic sequences (i) through (6) were intended to show what types of behavior are possible for a system containing a sales output lag. The following conclusions seem to be the most important:
(i) An economy in which business men attempt to recoup inventory losses will always undergo cyclical fluctuations when equilibrium is disturbed, provided the economy is stable.
This is the pure inventory cycle.
(2) The assumption of stability imposes severe limitations upon the possible size of the marginal propensity to consume, particularly if the coefficient of expectation is positive.
(3) The inventory accelerator is a more powerful de-stabilizer than the ordinary acceleration principle. The difference in stability conditions is due to the fact that the former allows for replacement demand whereas the usual analytical formulation of the latter does not. Thus, for inventories, replacement demand acts as a de-stabilizer. Whether it does so for all types of capital goods is a moot question, but I believe cases may occur in which it does not.
(4) Investment for inventory purposes cannot alter the equilibrium of income, which depends only upon the propensity to consume and the amount of non-induced investment.
(5) The apparent instability of a system containing both an accelerator and a coefficient of expectation makes further investigation of possible stabilizers highly desirable.”
Chart VA-5 shows the increase in the inventory/sales ratios during the recession of 2007-2009. The inventory/sales ratio fell during the expansions. The inventory/sales ratio declined to a trough in 2011, climbed and then stabilized at current levels in 2012, 2013 and 2014.
Chart VA-5, Total Business Inventories/Sales Ratios 2005 to 2014
Source: US Census Bureau
http://www2.census.gov/mtis/historical/img/mtisbrf.gif
Sales and inventories of merchant wholesalers except manufacturers’ sales branches and offices are shown in Table VA-3 for Jan-Dec 2014 NSA and percentage changes from the prior month SA and for Jan-Dec 2014 relative to Jan-Dec 2013. These data are volatile, aggregating diverse categories of durable and nondurable goods without adjustment for price changes. Total sales for the US rose 5.1 percent in Jan-Dec 2014 relative to Jan-Dec 2013 and decreased 0.4 percent in Dec 2014 relative to Nov 2014. The value of total sales is quite high at $5396.5 billion, approaching five trillion dollars in a year. Value in the breakdown is useful in identifying relative importance of individual categories. Sales of durable goods in Jan-Dec 2014 reached $2504.1 billion, over two trillion dollars for a year, increasing 1.1 percent in Dec 2014 relative to Nov 2014 and increasing 5.8 percent in Jan-Dec 2014 relative to Jan-Dec 2013. Sales of automotive products reached $413.9 billion in Jan-Dec 2014, increasing 0.4 percent in the month and increasing 4.9 percent relative to a year earlier. There is strong performance of 10.7 percent in machinery but lower of 5.2 percent in electrical products. Sales of nondurable goods rose 4.5 percent over a year earlier. The influence of commodity prices returned as suggested by icrease of 1.54 percent in Dec 2014 and decrease of 3.0 percent in Jan-Dec 2014 relative to a year earlier in farm products with decrease of 1.3 percent in petroleum products in Dec 2014 and increase of 1.3 percent relative to a year earlier. The final three columns in Table VA-5 provide the value of inventories and percentage changes from the prior month and relative to the same month a year earlier. US total inventories of wholesalers increased 0.1 percent in Dec 2014 and increased 6.7 percent relative to a year earlier. Inventories of durable goods of $337.7 billion are 60.9 percent of total inventories of $548.1 billion and rose 7.8 percent relative to a year earlier. Automotive inventories increased 8.9 percent relative to a year earlier. Machinery inventories of $97.5 billion rose 8.0 percent relative to a year earlier. Inventories of nondurable goods of $214.4 billion are 39.1 percent of the total and increased 4.9 percent relative to a year earlier. Inventories of farm products increased 0.8 percent in Dec relative to Nov and decreased 0.3 percent relative to a year earlier. Inventories of petroleum products decreased 6.2 percent in Dec and decreased 19.9 percent relative to a year earlier.
Table VA-3, US, Sales and Inventories of Merchant Wholesalers except Manufacturers’ Sales Branches and Offices, Month ∆%
2014 | Sales $ Billions Jan-Dec 2014 | Sales Dec ∆% SA | Sales∆% Jan-Dec 2014 from Jan-Dec 2013 NSA | INV $ Billions Dec 2014 NSA | INV Dec ∆% SA | INV ∆% Dec 2014 from Dec 2013 NSA |
US Total | 5396.5 | -0.4 | 5.1 | 548.1 | 0.1 | 6.7 |
Durable | 2504.1 | 1.1 | 5.8 | 333.7 | 0.2 | 7.8 |
Automotive | 413.9 | 0.4 | 4.9 | 54.8 | 0.3 | 8.9 |
Prof. Equip. | 473.1 | -1.0 | 4.7 | 42.9 | 0.8 | 9.6 |
Computer Equipment | 267.7 | -2.1 | 3.8 | 19.2 | 2.6 | 13.3 |
Electrical | 440.9 | 3.4 | 5.2 | 37.3 | -1.7 | 4.8 |
Machinery | 470.7 | 1.5 | 10.7 | 97.5 | 0.3 | 8.0 |
Not Durable | 2892.4 | -1.7 | 4.5 | 214.4 | -0.1 | 4.9 |
Drugs | 492.9 | 4.8 | 12.7 | 49.8 | -0.6 | 19.3 |
Apparel | 155.1 | -1.5 | 9.5 | 24.5 | -0.6 | 5.5 |
Groceries | 630.2 | 0.3 | 6.9 | 35.7 | 1.1 | 6.1 |
Farm Products | 244.7 | 1.4 | -3.0 | 26.9 | 0.8 | -0.3 |
Petroleum | 762.1 | -13.7 | 1.3 | 16.7 | -6.2 | -19.9 |
Note: INV: inventories
Source: US Census Bureau
http://www.census.gov/wholesale/index.html
Chart VA-6 of the US Census Bureau provides sales of wholesale trade NSA from Jan 1992 to Dec 2014. The jagged curve of wholesale trade sales without adjustment shows strong seasonal variations. There is a strong long-term trend interrupted by sharp drop during the global recession. Growth resumed along a stronger upward trend and the level surpasses the peak before the global recession with stability in the final segment.
Chart VA-6, US, Wholesale Trade Sales, Monthly, NSA, Jan 1992-Dec 2014, Millions of Dollars
Source: US Census Bureau
http://www.census.gov/wholesale/index.html
Chart VA-7 of the US Census Bureau provides US wholesale trade sales with seasonal adjustment from Jan 1992 to Dec 2014. The elimination of seasonality permits enhanced comparison of adjacent sales. The final segment identifies another drop followed by increase to a higher level with stability.
Chart VA-7, US, Wholesale Trade Sales, Monthly, SA, Jan 1992-Dec 2014, Millions of Dollars
Source: US Census Bureau
http://www.census.gov/wholesale/index.html
Inventory/sales ratios of merchant wholesalers except manufacturers’ sales branches and offices are shown in Table VA-4. The total for the US has remained almost without change at 1.22 in Dec 2014, 1.21 in Nov 2014 and 1.16 in Dec 2013. Inventory/sales ratios are higher in durable goods industries but remain relatively stable with 1.57 in Dec 2014, 1.58 in Nov 2014 and 1.56 in Dec 2013. Computer equipment operates with low inventory/sales ratios of 0.88 in Dec 2014, 0.84 in Nov 2014 and 0.79 in Dec 2013 because of the capacity to fill orders on demand. As expected because of perishable nature, nondurable inventory/sales ratios are quite low with 0.89 in Dec 2014 and 0.88 in Nov 2014, which are close to 0.82 in Dec 2013. There are exceptions such as 1.90 in Dec 2014 in apparel that is close to 1.88 in Nov 2014 and close to 1.93 in Dec 2013.
Table VA-4, Inventory/Sales Ratios of Merchant Wholesalers except Manufacturers’ Sales Branches and Offices, % SA
Dec 2014 | Nov 2014 | Dec 2013 | |
US Total | 1.22 | 1.21 | 1.16 |
Durable | 1.57 | 1.58 | 1.56 |
Automotive | 1.56 | 1.56 | 1.52 |
Prof. Equip. | 1.09 | 1.07 | 1.03 |
Comp. Equip. | 0.88 | 0.84 | 0.79 |
Electrical | 0.94 | 0.99 | 1.02 |
Machinery | 2.47 | 2.50 | 2.46 |
Not Durable | 0.89 | 0.88 | 0.82 |
Drugs | 1.06 | 1.12 | 1.04 |
Apparel | 1.90 | 1.88 | 1.93 |
Groceries | 0.65 | 0.65 | 0.66 |
Farm Products | 1.09 | 1.09 | 1.04 |
Petroleum | 0.34 | 0.31 | 0.30 |
Source: US Census Bureau
http://www.census.gov/wholesale/index.html
Inventories of merchant wholesalers except manufacturers’ sales branches in millions of dollars NSA are provided in Chart VA-8 of the US Census Bureau. There is evident acceleration in inventory building in the final segment at a sharper slope than before the global recession with recent downward turn followed by increase/stability.
Chart VA-8, US, Inventories of Merchant Wholesalers, Millions of Dollars, NSA, Jan 1992-Nov 2014
Source: US Census Bureau
http://www.census.gov/wholesale/index.html
Inventories of merchant wholesalers except manufacturers’ sales branches in millions of dollars SA are provided in Chart VA-9 of the US Census Bureau. There is evident acceleration in inventory building in the final segment at a sharper slope than before the global recession with recent downward turn followed by increase.
Chart VA-9, US, Inventories of Merchant Wholesalers, Millions of Dollars, SA, Jan 1992-Dec 2014
Source: US Census Bureau
http://www.census.gov/wholesale/index.html
Chart VA-10 provides the chart of the US Census Bureau with inventories/sales ratios of merchant wholesalers from 2004 to 2014 seasonally adjusted. Inventory/sales ratios rise during contractions as merchants are caught with increasing inventories because of weak sales and fall during expansions as merchants attempt to fill sales with existing stocks. There is an increase in the inventory/sales ratio in 2012 but not yet significantly higher with declining trend in the final segment followed by an increase and new decline/stability.
Chart VA-10, US, Monthly Inventories/Sales Ratios of Merchant Wholesalers, SA, 2005-2014
Source: US Census Bureau
http://www2.census.gov/wholesale/img/mwtsbrf.jpg
Sales of retail and food services decreased 0.8 percent in Jan 2015 after decreasing 0.9 percent in Dec 2014 seasonally adjusted (SA), growing 2.8 percent in Jan 2015 relative to Jan 2014 not seasonally adjusted (NSA), as shown in Table VA-5. Excluding motor vehicles and parts, retail sales decreased 0.9 percent in Jan 2015, decreasing 0.9 percent in Dec 2014 SA and increasing 1.4 percent NSA in Jan 2015 relative to a year earlier. Sales of motor vehicles and parts decreased 0.5 percent in Jan 2015 after decreasing 0.8 percent in Dec 2014 SA and increasing 9.1 percent NSA in Jan 2015 relative to a year earlier. Gasoline station sales decreased 9.3 percent SA in Jan 2015 after decreasing 7.4 percent in Dec 2014 in oscillating prices of gasoline that are moderating, decreasing 23.6 percent in Jan 2015 relative to a year earlier.
Table VA-5, US, Percentage Change in Monthly Sales for Retail and Food Services, ∆%
Jan/Dec ∆% SA | Dec/Nov ∆% SA | Jan 2015 Million Dollars NSA | Jan 2015 from Jan 2014 ∆% NSA | |
Retail and Food Services | -0.8 | -0.9 | 399,338 | 2.8 |
Excluding Motor Vehicles and Parts | -0.9 | -0.9 | 319,991 | 1.4 |
Motor Vehicles & Parts Dealers | -0.5 | -0.8 | 79,347 | 9.1 |
Retail | -1.0 | -1.1 | 351,185 | 1.6 |
Building Materials | 0.6 | -0.7 | 21,516 | 5.2 |
Food and Beverage | -0.3 | 0.6 | 56,279 | 3.7 |
Grocery | -0.1 | 0.5 | 50,920 | 3.7 |
Health & Personal Care Stores | 0.2 | 0.5 | 25,464 | 5.4 |
Clothing & Clothing Accessories Stores | -0.8 | -1.2 | 15,982 | 3.8 |
Gasoline Stations | -9.3 | -7.4 | 32,088 | -23.6 |
General Merchandise Stores | 0.1 | -0.9 | 48,334 | 2.4 |
Food Services & Drinking Places | 0.8 | 1.4 | 48,153 | 13.1 |
Source: US Census Bureau http://www.census.gov/retail/
Chart VA-11 provides monthly percentage changes of sales of retail and food services. There is significant monthly volatility that prevents identification of clear trends.
Chart VA-11, US, Monthly Percentage Change of Retail and Food Services Sales, Jan 1992-Jan 2015
Source: US Census Bureau http://www.census.gov/retail/
Chart VA-12 of the US Census Bureau provides total sales of retail trade and food services seasonally adjusted (SA) from Jan 1992 to Jan 2015 in millions of dollars. The impact on sales of the shallow recession of 2001 was much milder than the sharp contraction in the global recession from IVQ2007 to IIQ2009. There is flattening in the final segment of the series followed by another increase. Data are not adjusted for price changes.
Chart VA-12, US, Total Sales of Retail Trade and Food Services, SA, Jan 1992-Jan 2015, Millions of Dollars
Source: US Census Bureau http://www.census.gov/retail/
Chart VA-13 of the US Census Bureau provides total sales of retail trade and food services not seasonally adjusted (NSA) in millions of dollars from Jan 1992 to Jan 2015. Data are not adjusted for seasonality, which explains sharp jagged behavior, or price changes. There was contraction during the global recession from IVQ2007 to IIQ2009 with strong rebound to a higher level and stability followed by strong increase in the final segment.
Chart VA-13, US, Total Sales of Retail Trade and Food Services, NSA, Jan 1992-Jan 2015, Millions of Dollars
Source: US Census Bureau http://www.census.gov/retail/
The report of consumer credit outstanding of the Board of Governors of the Federal Reserve System is provided in Table VA-6. The data are in seasonally adjusted annual rates both percentage changes and billions of dollars. The estimate of consumer credit “covers most short- and intermediate-term credit extended to individuals, excluding loans secured by real estate (http://www.federalreserve.gov/releases/g19/current/default.htm). Consumer credit is divided into two categories. (1) Revolving consumer credit (REV in Table VA-6) consists mainly of unsecured credit cards. (2) Non-revolving consumer credit (NREV in Table VA-6) “includes automobile loans and all other loans not included in revolving credit, such as loans for mobile homes, education, boats, trailers or vacations” (http://www.federalreserve.gov/releases/g19/current/default.htm). In Dec 2014, revolving credit was $888 billion, or 26.8 percent of total consumer credit of $3312 billion, and non-revolving credit was $2424 billion, or 73.2 percent of total consumer credit outstanding. Consumer credit grew at relatively high rates before the recession beginning in IVQ2007 (Dec) and extending to IIQ2009 (Jun) as dated by the National Bureau of Economic Research or NBER (http://www.nber.org/cycles/cyclesmain.html). Percentage changes of consumer credit outstanding fell already in 2009. Rates were still negative in 2010 with decline of 1.0 percent in annual data and sharp decline of 7.6 percent in revolving credit. In IVQ 2013, total consumer credit grew at 5.4 percent with increase of revolving credit at 2.0 percent and increase of non-revolving credit at 6.7 percent. Growth continued in Dec 2014 with total credit at 5.4 percent, revolving at 7.9 percent and non-revolving at 4.5 percent.
Table VA-6, US, Consumer Credit Outstanding, SA, Annual Rate and Billions of Dollars
Total ∆% | REV ∆% | NRV ∆% | Total $B | REV $B | NREV $B | |
2014 | ||||||
Dec | 5.4 | 7.9 | 4.5 | 3312 | 888 | 2424 |
Nov | 4.9 | -1.3 | 7.2 | 3297 | 882 | 2415 |
Oct | 5.8 | 2.0 | 7.2 | 3284 | 883 | 2401 |
IVQ | 5.4 | 2.9 | 6.3 | 3312 | 888 | 2424 |
IIIQ | 6.7 | 2.9 | 8.1 | 3268 | 882 | 2386 |
IIQ | 8.2 | 6.3 | 9.0 | 3214 | 875 | 2339 |
IQ | 6.6 | 1.8 | 8.5 | 3149 | 861 | 2288 |
2013 | ||||||
IVQ | 5.4 | 2.0 | 6.7 | 3097 | 857 | 2240 |
2014 | 6.9 | 3.5 | 8.2 | 3312 | 888 | 2424 |
2013 | 6.0 | 1.3 | 7.9 | 3097 | 857 | 2240 |
2012 | 6.2 | 0.6 | 8.6 | 2924 | 847 | 2077 |
2011 | 4.1 | 0.2 | 5.9 | 2756 | 842 | 1914 |
2010 | -1.0 | -7.6 | 2.7 | 2647 | 840 | 1807 |
2009 | -3.9 | -8.8 | -1.0 | 2553 | 917 | 1636 |
2008 | 1.3 | 0.2 | 2.0 | 2651 | 1005 | 1646 |
2007 | 5.9 | 8.5 | 4.3 | 2529 | 1008 | 1521 |
Note: REV: Revolving; NREV: Non-revolving; ∆%: simple annual rate from unrounded data; Total may not add exactly because of rounding
Source: Board of Governors of the Federal Reserve System
http://www.federalreserve.gov/releases/g19/current/default.htm
Chart VA-5 of the Board of Governors of the Federal Reserve System total consumer credit outstanding in millions of dollars measured in the right axis and the finance rate on 24-month personal loans at commercial banks, not seasonally adjusted, measured on the left axis. There was sharp decline of total consumer loans outstanding during the global recession followed by strong recovery. There is long-term decline of the financing rate.
Chart VA-14, US, Total Consumer Credit Owned and Securitized NSA and Financing Rate on 24-month Personal Loans at Commercial Banks NSA, Millions of Dollars and Percent, Feb 1972-Dec 2014
Source: Board of Governors of the Federal Reserve System
http://www.federalreserve.gov/releases/g19/current/default.htm
Chart VA-6 of the Board of Governors of the Federal Reserve System provides percentage changes of total consumer credit outstanding in the US and the financing rate on 24-month personal consumer loans at commercial banks, since 1972. The shaded bars are the cyclical contraction dates of the National Bureau of Economic Research (http://www.nber.org/cycles/cyclesmain.html). Consumer credit is cyclical, declining during contractions as shown by negative percentage changes during economic contractions. There is clear upward trend in 2012-2013 but with significant fluctuations and vacillation in the final segment.
Chart VA-15, US, Percent Change of Total Consumer Credit, Seasonally Adjusted at an Annual Rate and Finance Rate on 24-month Personal Loans at Commercial Banks NSA, Feb 1972-Dec 2014
Source: Board of Governors of the Federal Reserve System
http://www.federalreserve.gov/releases/g19/current/default.htm
Table VA-7 provides additional information required for understanding the deficit/debt situation of the United States. The table is divided into four parts: Treasury budget in the 2015 fiscal year beginning on Oct 1, 2014 and ending on Sep 30, 2015; federal fiscal data for the years from 2009 to 2014; federal fiscal data for the years from 2005 to 2008; and Treasury debt held by the public from 2005 to 2014. Receipts increased 8.7 percent in the cumulative fiscal year 2015 ending in Dec 2015 relative to the cumulative in fiscal year 2014. Individual income taxes increased 8.2 percent relative to the same fiscal period a year earlier. Outlays increased 8.3 percent relative to a year earlier. There are also receipts, outlays, deficit and debt for fiscal years 2013 and 2014. Total revenues of the US from 2009 to 2012 accumulate to $9021 billion, or $9.0 trillion, while expenditures or outlays accumulate to $14,109 billion, or $14.1 trillion, with the deficit accumulating to $5090 billion, or $5.1 trillion. Revenues decreased 6.5 percent from $9653 billion in the four years from 2005 to 2008 to $9021 billion in the years from 2009 to 2012. Decreasing revenues were caused by the global recession from IVQ2007 (Dec) to IIQ2009 (Jun) and also by growth of only 2.4 percent on average in the cyclical expansion from IIIQ2009 to IVQ2014. In contrast, the expansion from IQ1983 to IQ1988 was at the average annual growth rate of 4.9 percent and at 7.8 percent from IQ1983 to IVQ1983 (http://cmpassocregulationblog.blogspot.com/2015/02/financial-and-international.html). Because of mediocre GDP growth, there are 25.9 million unemployed or underemployed in the United States for an effective unemployment rate of 17.1 percent (http://cmpassocregulationblog.blogspot.com/2015/02/job-creation-and-monetary-policy-twenty.html). Weakness of growth and employment creation is analyzed in II Collapse of United States Dynamism of Income Growth and Employment Creation (http://cmpassocregulationblog.blogspot.com/2015/01/peaking-valuations-of-risk-financial.html). In contrast with the decline of revenue, outlays or expenditures increased 30.2 percent from $10,839 billion, or $10.8 trillion, in the four years from 2005 to 2008, to $14,109 billion, or $14.1 trillion, in the four years from 2009 to 2012. Increase in expenditures by 30.2 percent while revenue declined by 6.5 percent caused the increase in the federal deficit from $1186 billion in 2005-2008 to $5090 billion in 2009-2012. Federal revenue was 14.9 percent of GDP on average in the years from 2009 to 2012, which is well below 17.4 percent of GDP on average from 1973 to 2012. Federal outlays were 23.3 percent of GDP on average from 2009 to 2012, which is well above 20.4 percent of GDP on average from 1973 to 2012. The lower part of Table VA-7 shows that debt held by the public swelled from $5803 billion in 2008 to $12,779 billion in 2014, by $6976 billion or 120.2 percent. Debt held by the public as percent of GDP or economic activity jumped from 39.3 percent in 2008 to 74.1 percent in 2013, which is well above the average of 38.0 percent from 1973 to 2012. The United States faces tough adjustment because growth is unlikely to recover, creating limits on what can be obtained by increasing revenues, while continuing stress of social programs restricts what can be obtained by reducing expenditures.
Table VA-7, US, Treasury Budget in Fiscal Year to Date Million Dollars
Jan 2014 | Fiscal Year 2015 | Fiscal Year 2014 | ∆% |
Receipts | 1,046,224 | 962,418 | 8.7 |
Outlays | 1,240,433 | 1,145,258 | 8.3 |
Deficit | -194,209 | -182,840 | |
Individual Income Tax | 514,847 | 475,814 | 8.2 |
Corporation Income Tax | 104,500 | 77,407 | 35.0 |
Social Insurance | 236,543 | 228,611 | 3.5 |
Receipts | Outlays | Deficit (-), Surplus (+) | |
$ Billions | |||
Fiscal Year 2014 | 3,021 | 3,504 | -483 |
% GDP | 17.5 | 20.3 | 2.8 |
Fiscal Year 2013 | 2,775 | 3,455 | -680 |
% GDP | 16.7 | 20.8 | -4.1 |
Fiscal Year 2012 | 2,450 | 3,537 | -1,087 |
% GDP | 15.2 | 22.0 | -6.8 |
Fiscal Year 2011 | 2,304 | 3,603 | -1,300 |
% GDP | 15.0 | 23.4 | -8.4 |
Fiscal Year 2010 | 2,163 | 3,457 | -1,294 |
% GDP | 14.6 | 23.4 | -8.8 |
Fiscal Year 2009 | 2,105 | 3,518 | -1,413 |
% GDP | 14.6 | 24.4 | -9.8 |
Total 2009-2012 | 9,021 | 14,109 | -5,090 |
Average % GDP 2009-2012 | 14.9 | 23.3 | -8.4 |
Fiscal Year 2008 | 2,524 | 2,983 | -459 |
% GDP | 17.1 | 20.2 | -3.1 |
Fiscal Year 2007 | 2,568 | 2,729 | -161 |
% GDP | 17.9 | 19.0 | -1.1 |
Fiscal Year 2006 | 2,407 | 2,655 | -248 |
% GDP | 17.6 | 19.4 | -1.8 |
Fiscal Year 2005 | 2,154 | 2,472 | -318 |
% GDP | 16.7 | 19.2 | -2.5 |
Total 2005-2008 | 9,653 | 10,839 | -1,186 |
Average % GDP 2005-2008 | 17.3 | 19.5 | -2.1 |
Debt Held by the Public | Billions of Dollars | Percent of GDP | |
2005 | 4,592 | 35.6 | |
2006 | 4,829 | 35.3 | |
2007 | 5,035 | 35.1 | |
2008 | 5,803 | 39.3 | |
2009 | 7,545 | 52.3 | |
2010 | 9,019 | 61.0 | |
2011 | 10,128 | 65.8 | |
2012 | 11,281 | 70.1 | |
2013 | 11,982 | 72.0 | |
2014 | 12,779 | 74.1 |
Source: http://www.fiscal.treasury.gov/fsreports/rpt/mthTreasStmt/mthTreasStmt_home.htm CBO (2012NovMBR). CBO (2011AugBEO); Office of Management and Budget 2011. Historical Tables. Budget of the US Government Fiscal Year 2011. Washington, DC: OMB; CBO. 2011JanBEO. Budget and Economic Outlook. Washington, DC, Jan. CBO. 2012AugBEO. Budget and Economic Outlook. Washington, DC, Aug 22. CBO. 2012Jan31. Historical budget data. Washington, DC, Jan 31. CBO. 2012NovCDR. Choices for deficit reduction. Washington, DC. Nov. CBO. 2013HBDFeb5. Historical budget data—February 2013 baseline projections. Washington, DC, Congressional Budget Office, Feb 5. CBO. 2013HBDFeb5. Historical budget data—February 2013 baseline projections. Washington, DC, Congressional Budget Office, Feb 5. CBO (2013Aug12). 2013AugHBD. Historical budget data—August 2013. Washington, DC, Congressional Budget Office, Aug. CBO, Historical Budget Data—February 2014, Washington, DC, Congressional Budget Office, Feb. CBO, Historical budget data—April 2014 release. Washington, DC, Congressional Budget Office, Apr. Congressional Budget Office, August 2014 baseline: an update to the budget and economic outlook: 2014 to 2024. Washington, DC, CBO, Aug 27, 2014. CBO, Monthly budget review: summary of fiscal year 2014. Washington, DC, Congressional Budget Office, Nov 10, 2014. CBO, The budget and economic outlook: 2015 to 2025. Washington, DC, Congressional Budget Office, Jan 26, 2015.
VB Japan. The GDP of Japan grew at 1.0 percent per year on average from 1991 to 2002, with the GDP implicit deflator falling at 0.8 percent per year on average. The average growth rate of Japan’s GDP was 4 percent per year on average from the middle of the 1970s to 1992 (Ito 2004). Low growth in Japan in the 1990s is commonly labeled as “the lost decade” (see Pelaez and Pelaez, The Global Recession Risk (2007), 81-115). Table VB-GDP provides yearly growth rates of Japan’s GDP from 1995 to 2013. Growth weakened from 2.7 per cent in 1995 and 1996 to contractions of 1.5 percent in 1999 and 0.4 percent in 2001 and growth rates below 2 percent with exception of 2.3 percent in 2003. Japan’s GDP contracted sharply by 3.7 percent in 2006 and 2.0 percent in 2009. As in most advanced economies, growth was robust at 3.4 percent in 2010 but mediocre at 0.3 percent in 2011 and 0.7 percent in 2013. Japan’s GDP grew 2.3 percent in 2013.
Table VB-GDP, Japan, Yearly Percentage Change of GDP ∆%
Calendar Year | ∆% |
1995 | 2.7 |
1996 | 2.7 |
1997 | 0.1 |
1998 | -1.5 |
1999 | 0.5 |
2000 | 2.0 |
2001 | -0.4 |
2002 | 1.1 |
2003 | 2.3 |
2004 | 1.5 |
2005 | 1.9 |
2006 | 1.8 |
2007 | 1.8 |
2008 | -3.7 |
2009 | -2.0 |
2010 | 3.4 |
2011 | 0.3 |
2012 | 0.7 |
2013 | 2.3 |
Source: 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-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 (https://www.boj.or.jp/en/announcements/release_2015/k150121a.pdf) with changes on Jul 21, 2015 (https://www.boj.or.jp/en/announcements/release_2015/k150121a.pdf). For fiscal 2014, the forecast is of growth of GDP between minus 0.7 to minus 0.3 percent, with the all items CPI less fresh food 2.9 to 3.3 percent (https://www.boj.or.jp/en/announcements/release_2015/k150121a.pdf). The critical difference is forecast of the CPI excluding fresh food of 0.3 to 1.4 percent in 2015 and 0.9 to 2.3 percent in 2016 (https://www.boj.or.jp/en/announcements/release_2015/k150121a.pdf). Consumer price inflation in Japan excluding fresh food was minus 0.2 percent in Dec 2014 and 2.5 percent in 12 months (http://www.stat.go.jp/english/data/cpi/1581.htm), significantly because of the increase of the tax on value added of consumption in Apr 2014. 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 | |||
Apr 2014 | +2.2 to +2.3 | +0.8 | |
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 2015 | -0.6 to -0.4 [-0.5] | +2.9 to +3.2 [+2.9] | +0.9 to +1.2 [+0.9] |
Oct 2014 | +0.2 to +0.7 [+0.5] | +3.1 to +3.4 [+3.2] | +1.1 to +1.4 [+1.2] |
Jul 2014 | +0.6 to +1.3 [+1.0] | +3.2 to +3.5 [+3.3] | +1.2 to +1.5 [+1.3] |
Apr 2014 | +0.8 to +1.3 | +3.0 to +3.5 | +1.0 to +1.5 |
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 2015 | +1.8 to +2.3 [+2.1] | +0.4 to +1.3 [+1.0] | +0.4 to +1.3 [+1.0] |
Oct 2014 | +1.2 to +1.7 [+1.5] | +1.8 to 2.6 [+2.4] | +1.1 to +1.9 [+1.7] |
Jul 2014 | +1.2 to +1.6 [+1.5] | +1.9 to +2.8 [+2.6] | +1.2 to +2.1 [+1.9] |
Apr 2014 | +1.2 to +1.5 | +1.9 to +2.8 | +1.2 to +2.1 |
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] |
2016 | |||
Jan 2015 | +1.5 to +1.7 [+1.6] | +1.5 to +2.3 [+2.2] | +1.5 to +2.3 [+2.2] |
Oct 2014 | +1.0 to +1.4 [+1.2] | +1.9 to 3.0 [+2.8] | +1.2 to 2.3 [+2.1] |
Jul 2014 | +1.0 to +1.5 [+1.3] | +2.0 to +3.0 [+2.8] | +1.3 to +2.3 [+2.1] |
Apr 2014 | +1.0 to +1.5 | +2.0 to +3.0 | +1.3 to +2.3 |
Figures in brackets are the median of forecasts of Policy Board members
Source: Policy Board, Bank of Japan
https://www.boj.or.jp/en/announcements/release_2015/k150121a.pdf
https://www.boj.or.jp/en/announcements/release_2014/k140715a.pdf
The Markit/JMMA Flash Japan Manufacturing PMI Index™ with the Flash Japan Manufacturing PMI™ increased from 52.0 in Dec to 52.1 in Jan and the Flash Japan Manufacturing Output Index™ decreased from 52.5 in Dec to 53.3 in Jan (http://www.markiteconomics.com/Survey/PressRelease.mvc/a1eee3ad3cbf4ce5a4d7e8d578b33118). New export orders increased at a faster pace. Amy Brownbill, Economist at Markit, finds improving Japan’s manufacturing (http://www.markiteconomics.com/Survey/PressRelease.mvc/a1eee3ad3cbf4ce5a4d7e8d578b33118). Private-sector activity in Japan stabilized with the Markit Composite Output PMI Index decreasing from 51.9 in Dec to 51.7 in Jan, indicating modest improvement in business activity (http://www.markiteconomics.com/Survey/PressRelease.mvc/117f9bf5e5ec451ea6dc46bd00bad841). The Markit Business Activity Index of Services decreased to 51.3 in Jan from 51.7 in Dec (http://www.markiteconomics.com/Survey/PressRelease.mvc/117f9bf5e5ec451ea6dc46bd00bad841). Amy Brownbill, Ecoomist at Markit and author of the report, finds the reading consistent with growth in the beginning of 2015 (http://www.markiteconomics.com/Survey/PressRelease.mvc/117f9bf5e5ec451ea6dc46bd00bad841). The Markit/JMMA Purchasing Managers’ Index™ (PMI™), seasonally adjusted, increased marginally from 52.0 in Dec to 52.2 in Jan (http://www.markiteconomics.com/Survey/PressRelease.mvc/618efac17046436b879e5b824f41cfbf). New orders, output and foreign orders increased. Amy Brownbill, Economist at Markit, finds manufacturing improvement with prices of inputs driven by devaluation (http://www.markiteconomics.com/Survey/PressRelease.mvc/618efac17046436b879e5b824f41cfbf).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 ∆% -1.3 |
Consumer Price Index | Dec NSA ∆% 0.1; Dec 12 months NSA ∆% 2.4 |
Real GDP Growth | IIIQ2014 ∆%: -0.5 on IIQ2014; IIIQ2014 SAAR -1.9; |
Employment Report | Dec Unemployed 2.10 million Change in unemployed since last year: minus 150 thousand |
All Industry Indices | Nov month SA ∆% 0.1 Blog 1/25/15 |
Industrial Production | Dec SA month ∆%: 1.0 |
Machine Orders | Total Dec ∆% 8.6 Private ∆%: 17.5 Dec ∆% Excluding Volatile Orders 8.3 |
Tertiary Index | Dec month SA ∆% -0.3 |
Wholesale and Retail Sales | Dec 12 months: |
Family Income and Expenditure Survey | Dec 12-month ∆% total nominal consumption -0.6, real -3.4 Blog 2/1/15 |
Trade Balance | Exports Dec 12 months ∆%: 12.9 Imports Dec 12 months ∆% 1.9 Blog 2/1/15 |
Links to blog comments in Table JPY:
2/1/15 http://cmpassocregulationblog.blogspot.com/2015/02/financial-and-international.html
1/25/15 http://cmpassocregulationblog.blogspot.com/2015/01/competitive-currency-conflicts-world.html
12/14/14 http://cmpassocregulationblog.blogspot.com/2014/12/global-financial-and-economic-risk.html
11/23/14 http://cmpassocregulationblog.blogspot.com/2014/11/squeeze-of-economic-activity-by-carry.htm
9/14/14 http://cmpassocregulationblog.blogspot.com/2014/09/geopolitics-monetary-policy-and.html
8/17/2014 http://cmpassocregulationblog.blogspot.com/2014/08/weakening-world-economic-growth.html
6/15/2014 http://cmpassocregulationblog.blogspot.com/2014/06/financialgeopolitical-risks-recovery.html
5/18/14 http://cmpassocregulationblog.blogspot.com/2014/05/world-inflation-waves-squeeze-of.html
3/16/2014 http://cmpassocregulationblog.blogspot.com/2014/03/global-financial-risks-recovery-without.html
2/23/14 http://cmpassocregulationblog.blogspot.com/2014/02/squeeze-of-economic-activity-by-carry.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
Japan’s total machinery orders seasonally adjusted in Table VB-1 increased 8.6 percent seasonally adjusted in Dec 2014. Private sector orders increased 17.5 percent and increased 8.3 percent excluding volatile orders. Orders from overseas decreased 6.9 percent and manufacturing orders increased 24.1 percent. Government orders increased 16.9 percent. Industrial orders are volatile worldwide.
Table VB-1, Japan, Machinery Orders, Month ∆%, SA
2014 | Dec 14 | Nov 14 | Oct 14 | Sep 14 |
Total | 8.6 | -10.4 | -2.9 | 8.0 |
Private Sector | 17.5 | -10.6 | -7.9 | 19.2 |
Excluding Volatile Orders | 8.3 | 1.3 | -6.4 | 2.9 |
Manufacturing | 24.1 | -7.0 | -5.5 | 12.0 |
Non-Manufacturing ex Volatile | 7.2 | 0.5 | -7.5 | 1.7 |
Government | 10.8 | -7.5 | 4.8 | 21.0 |
From Overseas | -6.9 | -6.0 | -4.6 | -9.4 |
Through Agencies | 16.9 | -11.6 | 6.1 | 2.5 |
Note: Mfg: manufacturing
Source: Japan Economic and Social Research Institute, Cabinet Office
http://www.esri.cao.go.jp/index-e.html
Total orders for machinery and total private-sector orders excluding volatile orders for Japan are shown in Chart VB-1 of Japan’s Economic and Social Research Institute at the Cabinet Office. The trend of private-sector orders excluding volatile orders was showing recovery from the drop after Mar 2011 because of the earthquake/tsunami. There was reversal of the trend of increase in total orders with recent decreases and an upward movement in the final data point. Fluctuations still prevent detecting longer-term trends but recovery is still evident from the global recession. There was a major setback by the declines in May 2012 shown in the final segment of Chart VB-1 with partial recovery in Jun 2012, decline again in Jul and Aug 2012 and rebound in total orders in Nov reversed in Dec but decline in orders excluding volatile segments with increase in Nov-Dec 2012. The final segment shows growth in Feb-Mar 2013 interrupted by decline in Apr 2013 followed by increase in May 2013. Orders fell again in Jun 2013, rebounding in Jul-Sep 2013 followed by another fall in Oct 2013. Orders recovered in Nov 2013 but declined in Dec 2013. Orders increased in Jan 2014 and decreased in Feb 2014. Orders increased in Mar-Apr 2014, with decreasing trend in May-Aug 2014. Orders increased in Sep 2014 and decreased in Oct-Nov 2014. Orders rebounded in Dec 2014.
Chart VB-1, Japan, Machinery Orders
Source: Japan Economic and Social Research Institute, Cabinet Office
http://www.esri.cao.go.jp/index-e.html
Table VB-2 provides values and percentage changes from a year earlier of Japan’s machinery orders without seasonal adjustment. Total orders of JPY 2,377,578 million in Dec 2014 are divided between JPY 924,332 million overseas orders, or 38.9 percent of the total, and domestic orders of JPY 1,338,764 million, or 56.3 percent of the total, with orders through agencies of JPY 114,482 million, or 4.8 percent of the total. Orders through agencies are not in Table VB-2 because of the minor value and appear only in the note to the table. Twelve-month percentages changes in Dec 2014 were mixed with increase of 8.6 percent for domestic orders and 8.6 percent for private excluding volatile components with increase of 2.9 percent for total orders. Overseas orders decreased 5.3 percent in 12 months.
Table VB-2, Japan, Machinery Orders, 12 Months ∆% and Million Yen, Original Series
Total | Overseas | Domestic | Private ex Volatile | |
Value Dec 2014 | 2,377,578 | 924,332 | 1,338,764 | 883,449 |
% Total | 100.0 | 38.9 | 56.3 | 37.2 |
Value Dec 2013 | 2,311,470 | 976,402 | 1,233,165 | 793,039 |
% Total | 100.0 | 42.2 | 53.4 | 34.3 |
12-month ∆% | 2.9 | -5.3 | 8.6 | 11.4 |
Dec 2014 | 2.9 | -5.3 | 8.6 | 11.4 |
Nov 2014 | -6.1 | 1.0 | -11.4 | -14.6 |
Oct 2014 | -1.4 | 2.6 | -5.1 | -4.9 |
Sep 2014 | -2.4 | -4.7 | -1.6 | 7.3 |
Aug 2014 | 0.4 | 14.9 | -11.1 | -3.3 |
Jul 2014 | 6.1 | 4.4 | 6.8 | 1.1 |
Jun 2014 | 30.3 | 87.5 | -2.9 | -3.0 |
May 2014 | -2.6 | -0.2 | -5.5 | -14.3 |
Apr 2014 | 53.6 | 101.7 | 21.5 | 17.6 |
Mar 2014 | -0.3 | -4.3 | 4.1 | 16.1 |
Feb 2014 | 20.0 | 31.9 | 12.4 | 10.8 |
Jan 2014 | 28.8 | 29.8 | 29.0 | 23.6 |
Dec 2013 | 15.1 | 25.0 | 8.3 | 6.7 |
Nov 2013 | 8.9 | 1.3 | 14.4 | 16.6 |
Oct 2013 | 24.6 | 29.7 | 21.4 | 17.8 |
Sep 2013 | 30.3 | 57.4 | 18.4 | 11.4 |
Aug 2013 | 25.9 | 41.8 | 17.1 | 10.3 |
Jul 2013 | 5.3 | 4.4 | 6.9 | 6.5 |
Jun 2013 | 2.7 | 0.1 | 4.1 | 4.9 |
May 2013 | 18.1 | 17.1 | 20.8 | 16.5 |
Apr 2013 | -4.3 | 6.7 | -9.9 | -1.1 |
Mar 2013 | 11.5 | 27.5 | 3.3 | 2.4 |
Feb 2013 | -14.8 | -21.0 | -10.7 | -11.3 |
Jan 2013 | -24.8 | -36.7 | -11.8 | -9.7 |
Dec 2012 | -12.5 | -24.1 | -3.3 | -3.4 |
Nov 2012 | -8.6 | -9.6 | -8.5 | 0.3 |
Oct 2012 | -6.9 | -12.8 | -2.6 | 1.2 |
Sep 2012 | -7.8 | -18.4 | -1.8 | -7.8 |
Aug 2012 | -18.6 | -31.1 | -10.2 | -6.1 |
Jul 2012 | 2.6 | -1.9 | 3.2 | 1.7 |
Jun 2012 | -10.9 | -11.3 | -12.4 | -9.9 |
May 2012 | -6.8 | -7.0 | -8.6 | 1.0 |
Apr 2012 | 7.5 | -9.6 | 23.0 | 6.6 |
Mar 2012 | 8.1 | -10.0 | 19.0 | -1.1 |
Feb 2012 | -9.3 | -8.9 | -11.2 | 8.9 |
Jan 2012 | 9.8 | 18.3 | 0.5 | 5.7 |
Dec 2011 | 0.8 | 12.6 | -8.5 | 6.3 |
Nov 2011 | 11.0 | 8.0 | 13.5 | 12.5 |
Oct 2011 | -6.8 | -15.6 | -1.0 | 1.5 |
Dec 2010 | 9.4 | 3.5 | 14.1 | -0.6 |
Dec 2009 | 1.8 | 0.4 | 3.6 | -1.9 |
Dec 2008 | -23.3 | -29.4 | -17.4 | -24.7 |
Dec 2007 | 1.3 | 9.8 | -4.3 | -6.4 |
Dec 2006 | 0.8 | 0.9 | -0.1 | 0.1 |
Note: Total machinery orders = overseas + domestic demand + orders through agencies. Orders through agencies in Dec 2014 were JPY 114,482 million or 4.8 percent of the total and JPY 101,903 or 4.4 percent of the total in Dec 2013, and are not shown in the table. The data are the original numbers without any adjustments and differ from the seasonally adjusted data.
Source: Japan Economic and Social Research Institute, Cabinet Office http://www.esri.cao.go.jp/index-e.html
The tertiary activity index of Japan decreased 0.3 percent SA in Dec 2014 and decreased 0.8 percent NSA in the 12 months ending in Dec 2014, as shown in Table VB-3. There are effects of the increase in the tax on value added of consumption in Apr 2014. The index is showing significant volatility with increases of 0.5 percent in Feb 2013 and 0.5 percent in May 2013 but decreases in multiple months. The indexed increased 2.6 percent in Mar 2014 largely because of anticipation of expenditures to avoid the increase in the tax on consumption in Apr 2014. The index fell 5.7 percent in Apr 2014 because of the increases in the tax on consumption. The tertiary activity index fell 5.2 percent in 2009, growing 1.3 percent in 2010, 0.1 percent in 2011 and 1.4 percent in 2012. The tertiary activity index increased 0.7 percent in 2013 and fell 0.8 percent in 2014.
Table VB-3, Japan, Tertiary Activity Index, ∆%
Month ∆% SA | 12 Months ∆% NSA | |
Dec 2014 | -0.3 | -0.8 |
Nov | 0.2 | -1.8 |
Oct | -0.2 | -0.9 |
Sep | 1.3 | -0.8 |
Aug | -0.1 | -2.7 |
Jul | -0.3 | -2.2 |
Jun | 0.0 | -1.4 |
May | 0.9 | -2.5 |
Apr | -5.7 | -2.6 |
Mar | 2.6 | 3.2 |
Feb | -0.9 | 0.9 |
Jan | 1.5 | 2.0 |
Dec 2013 | -0.1 | 0.8 |
Nov | 0.3 | 0.5 |
Oct | -0.5 | 0.1 |
Sep | 0.1 | 1.4 |
Aug | 0.2 | 0.8 |
Jul | -0.1 | 1.5 |
Jun | -0.3 | 0.6 |
May | 0.5 | 1.8 |
Apr | -0.1 | 1.5 |
Mar | 0.1 | 0.7 |
Feb | 0.5 | -1.5 |
Jan | 0.0 | 0.3 |
Dec 2012 | 0.2 | -0.1 |
Nov | -0.1 | 1.0 |
Oct | 0.2 | 1.3 |
Sep | 0.0 | 0.1 |
Aug | 0.2 | 0.6 |
Jul | -0.3 | 0.8 |
Jun | 0.0 | 0.8 |
May | 0.5 | 3.1 |
Apr | -0.2 | 2.4 |
Mar | -0.3 | 4.2 |
Feb | 0.2 | 2.4 |
Jan | -0.8 | 0.3 |
Calendar Year | ||
2014 | -0.8 | |
2013 | 0.7 | |
2012 | 1.4 | |
2011 | 0.1 | |
2010 | 1.3 | |
2009 | -5.2 | |
2008 | -1.0 | |
2007 | 1.0 | |
2006 | 1.8 | |
2005 | 1.9 | |
2004 | 1.8 |
Source: Japan, Ministry of Economy, Trade and Industry
http://www.meti.go.jp/english/statistics/index.html
Month and 12-month rates of growth of the tertiary activity index of Japan and components in Dec 2014 are provided in Table VB-4. Electricity, gas, heat supply and water increased 2.4 percent in Dec 2014 and increased 1.2 percent in the 12 months ending in Dec 2014. Wholesale and retail trade increased 0.5 percent in Dec 2014, rebounding from decline of 14.4 percent in the month of Apr because of the increase in the tax on value added of consumption. The index of wholesale and retail trade decreased 3.6 percent in 12 months ending in Dec 2014. Information and communications increased 0.3 percent in Dec and increased 0.6 percent in 12 months.
Table VB-4, Japan, Tertiary Index and Components, Month and 12-Month Percentage Changes ∆%
Dec 2014 | Weight | Month ∆% SA | 12 Months ∆% NSA |
Tertiary Index | 10,000.0 | -0.3 | -0.8 |
Electricity, Gas, Heat Supply & Water | 372.9 | 2.4 | 1.2 |
Information & Communications | 951.2 | 0.3 | 0.6 |
Wholesale & Retail Trade | 2,641.2 | 0.5 | -3.6 |
Finance & Insurance | 971.1 | -2.8 | 1.6 |
Real Estate & Goods Rental & Leasing | 903.4 | 0.6 | -0.3 |
Scientific Research, Professional & Technical Services | 551.3 | 1.5 | -2.7 |
Accommodations, Eating, Drinking | 496.0 | -1.7 | -3.4 |
Living-Related, Personal, Amusement Services | 552.7 | -2.9 | -5.8 |
Learning Support | 116.9 | 0.2 | -0.4 |
Medical, Health Care, Welfare | 921.1 | 0.0 | 3.9 |
Miscellaneous ex Government | 626.7 | -1.5 | 2.7 |
Source: Japan, Ministry of Economy, Trade and Industry (METI)
http://www.meti.go.jp/english/statistics/index.html
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 Jan 2011 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 moved to 53.7 in Jan 2015. 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. The index of new orders moved to 50.2 in Jan 2015.
Table CIPMNM, China, Nonmanufacturing Index of Purchasing Managers, %, Seasonally Adjusted
Total Index | New Orders | Interm. | Subs Prices | Exp | |
Jan 2015 | 53.7 | 50.2 | 47.6 | 46.9 | 59.6 |
Dec 2014 | 54.1 | 50.5 | 50.1 | 47.3 | 59.5 |
Nov | 53.9 | 50.1 | 50.6 | 47.7 | 59.7 |
Oct | 53.8 | 51.0 | 52.0 | 48.8 | 59.9 |
Sep | 54.0 | 49.5 | 49.8 | 47.3 | 60.9 |
Aug | 54.4 | 50.0 | 52.2 | 48.3 | 61.2 |
Jul | 54.2 | 50.7 | 53.4 | 49.5 | 61.5 |
Jun | 55.0 | 50.7 | 56.0 | 50.8 | 60.4 |
May | 55.5 | 52.7 | 54.5 | 49.0 | 60.7 |
Apr | 54.8 | 50.8 | 52.4 | 49.4 | 61.5 |
Mar | 54.5 | 50.8 | 52.8 | 49.5 | 61.5 |
Feb | 55.0 | 51.4 | 52.1 | 49.0 | 59.9 |
Jan | 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 56.0 in Oct 2013 to 53.7 in Jan 2015.
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, 50.1 in Dec 2014 and 49.8 in Jan 2015. The index of new orders fell from 54.5 in Apr 2012 to 51.2 in Dec 2012. The index of new orders fell from 52.3 in Nov 2013 to 52.0 in Dec 2013. The index fell to 50.9 in Jan 2014 and moved to 50.4 in Dec 2014. The index moved to 50.2 in Jan 2015.
Table CIPMMFG, China, Manufacturing Index of Purchasing Managers, %, Seasonally Adjusted
IPM | PI | NOI | INV | EMP | SDEL | |
2015 | ||||||
Jan | 49.8 | 51.7 | 50.2 | 47.3 | 47.9 | 50.2 |
2014 | ||||||
Dec | 50.1 | 52.2 | 50.4 | 47.5 | 48.1 | 49.9 |
Nov | 50.3 | 52.5 | 50.9 | 47.7 | 48.2 | 50.3 |
Oct | 50.8 | 53.1 | 51.6 | 48.4 | 48.4 | 50.1 |
Sep | 51.1 | 53.6 | 52.2 | 48.8 | 48.2 | 50.1 |
Aug | 51.1 | 53.2 | 52.5 | 48.6 | 48.2 | 50.0 |
Jul | 51.7 | 54.2 | 53.6 | 49.0 | 48.3 | 50.2 |
Jun | 51.0 | 53.0 | 52.8 | 48.0 | 48.6 | 50.5 |
May | 50.8 | 52.8 | 52.3 | 48.0 | 48.2 | 50.3 |
Apr | 50.4 | 52.5 | 51.2 | 48.1 | 48.3 | 50.1 |
Mar | 50.3 | 52.7 | 50.6 | 47.8 | 48.3 | 49.8 |
Feb | 50.2 | 52.6 | 50.5 | 47.4 | 48.0 | 49.9 |
Jan | 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 Jun 2013. The index decreased from 51.4 in Nov 2013 to 51.0 in Dec 2013. The index moved to 49.8 in Jan 2015.
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 IVQ2014 relative to the same period in 2013 was 7.4 percent, as shown in Table VC-GDP. Secondary industry accounts for 42.6 percent of cumulative GDP in IVQ2014. In cumulative IVQ2014, industry accounts for 35.8 percent of GDP and construction for 7.0 percent. Tertiary industry accounts for 48.2 percent of cumulative GDP in IVQ2014 and primary industry for 9.2 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 strategy is shifting to lower growth rates with improvement in living standards. 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 7.0 percent and to 7.4 percent in IIQ2013, rebounding to 9.5 percent in IIIQ2013. Annual equivalent growth was 7.4 percent in IVQ2013, declining to 6.6 percent in IQ2014 and increasing to 7.8 percent in IIQ2014. Annual equivalent growth slowed to 7.8 percent in IIIQ2014 and 6.1 percent in IVQ2014.
Table VC-GDP, China, Quarterly Growth of GDP, Current CNY 100 Million and Inflation Adjusted ∆%
Cumulative GDP IVQ2014 | Value Current CNY Billion | 2014 Year-on-Year Constant Prices ∆% |
GDP | 63,646.3 | 7.4 |
Primary Industry | 5833.2 | 4.1 |
Farming | 6015.1 | 4.2 |
Secondary Industry | 27,139.2 | 7.3 |
Industry | 22,799.1 | 7.0 |
Construction | 4472.5 | 8.9 |
Tertiary Industry | 30,673.9 | 8.1 |
Transport, Storage, Post | 2875.0 | 7.0 |
Wholesale, Retail Trades | 6221.6 | 9.5 |
Accommodation and Restaurants | 1119.9 | 6.2 |
Finance | 4695.4 | 10.2 |
Real Estate | 3816.7 | 2.3 |
Other | 11631.1 | 8.8 |
Growth in Quarter Relative to Prior Quarter | ∆% on Prior Quarter | ∆% Annual Equivalent |
2014 | ||
IVQ2014 | 1.5 | 6.1 |
IIIQ2014 | 1.9 | 7.8 |
IIQ2014 | 1.9 | 7.8 |
IQ2014 | 1.6 | 6.6 |
2013 | ||
IVQ2013 | 1.8 | 7.4 |
IIIQ2013 | 2.3 | 9.5 |
IIQ2013 | 1.8 | 7.4 |
IQ2013 | 1.7 | 7.0 |
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 IVQ2014 relative to the same period in 2013 was 7.3 percent, as shown in Table VC-GDPA. Secondary industry accounts for 42.6 percent of cumulative GDP in IVQ2014. In cumulative IVQ2014, industry accounts for 35.8 percent of GDP and construction for 7.0 percent. Tertiary industry accounts for 48.2 percent of cumulative GDP in IVQ2014 and primary industry for 9.2 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 strategy is changing to lower growth rates while improving living standards. GDP growth decelerated from 12.1 percent in IQ2010 and 11.2 percent in IIQ2010 to 7.8 percent in IQ2013, 7.5 percent in IIQ2013 and 7.9 percent in IIIQ2013. GDP grew 7.6 percent in IVQ2013 relative to a year earlier and 1.8 percent relative to IIIQ2013, which is equivalent to 7.4 percent per year. GDP grew 7.4 percent in IQ2014 relative to a year earlier and 1.6 percent in IQ2014 that is equivalent to 6.6 percent per year. GP grew 7.5 percent in IIQ2014 relative to a year earlier and 1.9 percent relative to the prior quarter, which is equivalent 7.8 percent. In IIIQ2014, GDP grew 7.3 percent relative to a year earlier and 1.9 percent relative to the prior quarter, which is 7.8 percent in annual equivalent. GDP grew 1.5 percent in IVQ2014, which is 6.1 percent in annual equivalent and 7.3 percent relative to a year earlier.
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 | IQ 2014 | IIQ 2014 | IIIQ 2014 | IVQ 2014 | |
GDP | 7.8 | 7.5 | 7.9 | 7.6 | 7.4 | 7.5 | 7.3 | 7.3 |
Primary Industry | 3.4 | 3.0 | 3.4 | 4.0 | 3.5 | 3.9 | 4.2 | 4.1 |
Secondary Industry | 7.8 | 7.6 | 7.8 | 7.8 | 7.3 | 7.4 | 7.4 | 7.3 |
Tertiary Industry | 8.3 | 8.3 | 8.4 | 8.3 | 7.1 | 8.0 | 7.9 | 8.1 |
GDP ∆% Relative to a Prior Quarter | 1.7 | 1.8 | 2.3 | 1.8 | 1.6 | 1.9 | 1.9 | 1.5 |
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 2013 is still high at 7.7 percent but at the lowest rhythm in five years.
Chart VC-GDP, China, Gross Domestic Product, Million Yuan and ∆%, 2009-2013
Source: National Bureau of Statistics of China http://www.stats.gov.cn/english/
Chart VC-FXR provides China’s foreign exchange reserves. FX reserves grew from $2399.2 billion in 2009 to $3821.3 billion in 2013 driven by high growth of China’s trade surplus.
Chart VC-FXR, China, Foreign Exchange Reserves, 2009-2013
Source: National Bureau of Statistics of China http://www.stats.gov.cn/english
Chart VC-Trade provides China’s imports and exports. Exports exceeded imports with resulting large trade balance surpluses that increased foreign exchange reserves.
Chart VC-Trade, China, Imports and Exports of Goods, 2009-2013, $100 Million US Dollars
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/b2a890cba4664da9ad061ff1a23ec780) is improving. The overall Flash HSBC China Manufacturing PMI™ increased from 49.6 in Dec to 49.8 in Jan, while the Flash HSBC China Manufacturing Output Index increased from 49.9 in Dec to 50.1 in Dec, indicating moderate growth. Exports orders indicate expansion at slower rate. Hongbin Qu, Chief Economist, China and Co-Head of Asian Economic Research at HSBC, finds need for monetary/fiscal stimulus (http://www.markiteconomics.com/Survey/PressRelease.mvc/b2a890cba4664da9ad061ff1a23ec780). The HSBC China Services PMI™, compiled by Markit, shows the HSBC Composite Output, combining manufacturing and services, decreasing from 51.4 in Dec to 51.0 in Jan (http://www.markiteconomics.com/Survey/PressRelease.mvc/7b9ad608264c4ac4b19ccf5aa289da44). Hongbin Qu, Chief Economist, China and Co-Head of Asian Economic Research at HSBC, finds need of easing policies in consolidating growth (http://www.markiteconomics.com/Survey/PressRelease.mvc/7b9ad608264c4ac4b19ccf5aa289da44). The HSBC China Services Business Activity index decreased from 53.4 in Dec to 51.8 in Jan (http://www.markiteconomics.com/Survey/PressRelease.mvc/7b9ad608264c4ac4b19ccf5aa289da44). Hongbin Qu, Chief Economist, China & Co-Head of Asian Economic Research at HSBC, finds that the services PMI shows sustained activity at slower pace (http://www.markiteconomics.com/Survey/PressRelease.mvc/7b9ad608264c4ac4b19ccf5aa289da44). The HSBC Purchasing Managers’ Index™ (PMI™), compiled by Markit, increased to 49.7 in Jan from 49.6 in Dec, indicating near neutral manufacturing (http://www.markiteconomics.com/Survey/PressRelease.mvc/957ace7aa01b4f878c48ea65443be5ea). New export orders slowed. Hongbin Qu, Chief Economist, China and Co-Head of Asian Economic Research at HSBC, finds weakening demand in China with possible need of monetary and fiscal policy enhancement (http://www.markiteconomics.com/Survey/PressRelease.mvc/957ace7aa01b4f878c48ea65443be5ea). Table CNY provides the country data table for China.
Table CNY, China, Economic Indicators
Price Indexes for Industry | Jan 12-month ∆%: minus 4.3 Jan month ∆%: -1.1 |
Consumer Price Index | Jan month ∆%: 0.3 Jan 12 months ∆%: 0.8 |
Value Added of Industry | Dec month ∆%: 0.75 Jan-Dec 2014/Jan-Dec 2013 ∆%: 8.3 |
GDP Growth Rate | Year IVQ2014 ∆%: 7.3 First Four Quarters 2014 ∆%: 7.4 |
Investment in Fixed Assets | Total Jan-Dec 2014 ∆%: 15.7 Real estate development: 10.5 |
Retail Sales | Dec month ∆%: 1.01 Jan-Dec ∆%: 12.0 |
Trade Balance | Jan balance $60.0 billion Cumulative Jan 2015: $60.0 billion |
Links to blog comments in Table CNY:
1/25/15 http://cmpassocregulationblog.blogspot.com/2015/01/competitive-currency-conflicts-world.html
Table VC-1 provides China’s exports, imports, trade balance and 12-month percentage changes from Dec 2010 to Jan 2015. China’s trade surplus was $60.0 billion in Jan 2015 with exports decreasing 3.3 percent in 12 months and imports declining 19.9 percent. The trade surplus of China was $49.61 billion in Dec 2014 with exports growing 9.7 percent in 12 months and imports falling 2.4 percent. The trade surplus of China was $54.5 billion in Nov 2014 with exports growing 4.7 percent in 12 months and imports falling 6.7 percent. The trade surplus of China in Oct 2014 was $45.4 billion with exports increasing 11.6 percent in 12 months and imports 4.6 percent. The trade surplus of China in Sep 2014 was $31.0 billion with exports growing 15.3 percent relative to a year earlier and imports increasing 7.0 percent. China’s trade surplus rose to $49.8 billion in Aug 2014 with 12-month growth of exports of 9.4 percent and decline of 2.4 percent of imports in 12 months. The trade surplus of China jumped to $47.3 billion in Jul 2014 with growth of exports by 14.5 percent and decrease of imports by 1.6 percent. China’s trade surplus decreased to $31.6 billion in Jun 2014 with growth of exports of 7.2 percent and of 5.5 percent of imports. The trade surplus of China increased to $35.92 billion in May 2014 with growth of exports of 7.0 percent relative to a year earlier and decline of imports by 1.6 percent. The trade surplus of China increased to $18.45 billion in Apr 2014 with growth of exports of 0.9 percent relative to a year earlier and of imports of 0.8 percent. China had a trade surplus of $7.71 billion in Mar 2014 with exports declining 6.6 percent in 12 months and imports decreasing 11.3 percent. China had a rare trade deficit of $22.99 billion in Feb 2014 with exports decreasing 18.1 percent in 12 months while imports increased 10.1 percent. Exports increased 10.6 percent in the 12 months ending in Jan 2014 and imports 10.0 percent for trade surplus of $31.87 billion. Exports increased 4.3 percent in the 12 months ending in Dec 2013 while imports increased 8.3 percent for trade surplus of $25.64 billion. Exports surged 12.7 percent in the 12 months ending in Nov 2013 while imports increased 5.3 percent for trade surplus of $33.8 billion. Exports rebounded with growth of 5.6 percent in the 12 months ending in Oct 2013 while imports increased 7.6 percent for trade surplus of $31.11 billion. Exports fell 0.3 percent in the 12 months ending in Sep 2013 while imports increased 7.4 for reduction of the trade surplus to $15.2 billion. Markets reacted positively to China’s trade data in Aug 2013 with exports growing 7.2 percent relative to a year earlier and imports 7.0 percent for increasing trade surplus of $28.52. Exports increased 5.1 in Jul 2013 and imports 10.9 percent for trade surplus of $17.82 billion. Exports fell 3.1 percent in Jun 2013 and imports declined 0.7 percent. The trade surplus reached $27.12 billion. Exports increased 1.0 percent in May 2013 relative to a year earlier while imports fell 0.3 percent with trade surplus of $20.43 billion. Exports increased 14.7 percent in Apr 2013 relative to a year earlier and imports 16.8 percent for trade surplus of $18.16 billion. Exports increased 10.0 percent in Mar 2013 relative to a year earlier and imports increased 14.1 percent for trade deficit of $0.88 billion. Exports increased 21.8 percent in Feb 2013 relative to a year earlier and imports fell 15.2 percent for trade surplus of $15.25 billion. China’s trade growth was stronger in Jan 2013 with growth of exports of 25.0 percent in 12 months and of imports of 28.8 percent for trade surplus of $29.15 billion. China’s trade growth strengthened in Dec 2012 with growth in 12 months of exports of 14.1 percent and of imports of 6.0 percent. China’s trade growth weakened again in Nov 2012 with growth of exports of 2.9 percent and no change in imports. China’s trade growth rebounded with growth of exports in 12 months of 11.6 percent in Oct 2012 and 9.9 percent in Sep 2012 after 2.7 percent in Aug 2012 and 1.0 percent in Jul 2012 while imports grew 2.4 percent in both Sep and Oct 2012, stagnating in Nov 2012. As a result, the monthly trade surplus increased from $25.2 billion in Jul 2012 to $31.9 billion in Oct 2012, declining to $19.6 billion in Nov 2012 but increasing to $31.62 billion in Dec 2012. China’s trade growth rebounded in Oct 2012 with growth of exports of 11.6 percent in 12 months and 2.4 percent for imports and trade surplus of $31.9 billion. The number that caught attention in financial markets was growth of 1.0 percent in exports in the 12 months ending in Jul 2012. Imports were also weak, growing 4.7 percent in 12 months ending in Jul 2012. Exports increased 11.3 percent in Jun 2012 relative to a year earlier while imports grew 6.3 percent. The rate of growth of exports fell to 4.9 percent in Apr 2012 relative to a year earlier and imports increased 0.3 percent but export growth was 15.3 percent in May and imports increased 12.7 percent. China reversed the large trade deficit of USD 31.48 billion in Feb 2012 with a surplus of $5.35 billion in Mar 2012, $18.42 billion in Apr 2012, $18.7 billion in May 2012, $31.7 billion in Jun 2012, $25.2 billion in Jul 2012, $26.7 billion in Aug 2012, $27.7 billion in Sep 2012, $31.9 billion in Oct 2012 and $19.6 billion in Nov 2012. Exports fell 0.5 percent in the 12 months ending in Jan 2012 while imports fell 15.3 percent for a still sizeable trade surplus of $27.3 billion. In Feb 2012, exports increased 18.4 percent while imports jumped 39.6 percent for a sizeable deficit of $31.48 billion. There are distortions from the Lunar New Year holidays.
Table VC-1, China, Exports, Imports and Trade Balance USD Billion and ∆%
Exports | ∆% Relative | Imports USD | ∆% Relative | Balance | |
Jan 2015 | 200.29 | -3.3 | 140.38 | -19.9 | 60.0 |
Dec 2014 | 227.51 | 9.7 | 177.9 | -2.4 | 49.61 |
Nov | 211.66 | 4.7 | 157.19 | -6.7 | 54.47 |
Oct | 206.87 | 11.6 | 161.46 | 4.6 | 45.41 |
Sep | 213.69 | 15.3 | 182.74 | 7.0 | 30.94 |
Aug | 208.46 | 9.4 | 158.63 | -2.4 | 49.84 |
Jul | 212.9 | 14.5 | 165.6 | -1.6 | 47.3 |
Jun | 186.8 | 7.2 | 155.2 | 5.5 | 31.6 |
May | 195.47 | 7.0 | 159.55 | -1.6 | 35.92 |
Apr | 188.54 | 0.9 | 170.09 | 0.8 | 18.45 |
Mar | 170.11 | -6.6 | 162.40 | -11.3 | 7.71 |
Feb | 114.09 | -18.1 | 137.08 | 10.1 | -22.99 |
Jan | 207.13 | 10.6 | 175.26 | 10.0 | 31.87 |
Dec 2013 | 207.74 | 4.3 | 182.10 | 8.3 | 25.64 |
Nov | 202.20 | 12.7 | 168.40 | 5.3 | 33.8 |
Oct | 185.41 | 5.6 | 154.30 | 7.6 | 31.11 |
Sep | 185.64 | -0.3 | 170.44 | 7.4 | 15.21 |
Aug | 190.61 | 7.2 | 162.09 | 7.0 | 28.52 |
Jul | 185.99 | 5.1 | 168.17 | 10.9 | 17.82 |
Jun | 174.32 | -3.1 | 147.19 | -0.7 | 27.12 |
May | 182.77 | 1.0 | 162.34 | -0.3 | 20.43 |
Apr | 187.06 | 14.7 | 168.90 | 16.8 | 18.16 |
Mar | 182.19 | 10.0 | 183.07 | 14.1 | -0.88 |
Feb | 139.37 | 21.8 | 124.12 | -15.2 | 15.25 |
Jan | 187.37 | 25.0 | 158.22 | 28.8 | 29.15 |
Dec 2012 | 199.23 | 14.1 | 167.61 | 6.0 | 31.62 |
Nov | 179.38 | 2.9 | 159.75 | 0.0 | 19.63 |
Oct | 175.57 | 11.6 | 143.58 | 2.4 | 31.99 |
Sep | 186.35 | 9.9 | 158.68 | 2.4 | 27.67 |
Aug | 177.97 | 2.7 | 151.31 | -2.6 | 26.66 |
Jul | 176.94 | 1.0 | 151.79 | 4.7 | 25.15 |
Jun | 180.20 | 11.3 | 148.48 | 6.3 | 31.72 |
May | 181.14 | 15.3 | 162.44 | 12.7 | 18.70 |
Apr | 163.25 | 4.9 | 144.83 | 0.3 | 18.42 |
Mar | 165.66 | 8.9 | 160.31 | 5.3 | 5.35 |
Feb | 114.47 | 18.4 | 145.95 | 39.6 | -31.48 |
Jan | 149.94 | -0.5 | 122.66 | -15.3 | 27.28 |
Dec 2011 | 174.72 | 13.4 | 158.20 | 11.8 | 16.52 |
Nov | 174.46 | 13.8 | 159.94 | 22.1 | 14.53 |
Oct | 157.49 | 15.9 | 140.46 | 28.7 | 17.03 |
Sep | 169.67 | 17.1 | 155.16 | 20.9 | 14.51 |
Aug | 173.32 | 24.5 | 155.56 | 30.2 | 17.76 |
Jul | 175.13 | 20.4 | 143.64 | 22.9 | 31.48 |
Jun | 161.98 | 17.9 | 139.71 | 19.3 | 22.27 |
May | 157.16 | 19.4 | 144.11 | 28.4 | 13.05 |
Apr | 155.69 | 29.9 | 144.26 | 21.8 | 11.42 |
Mar | 152.20 | 35.8 | 152.06 | 27.3 | 0.14 |
Feb | 96.74 | 2.4 | 104.04 | 19.4 | -7.31 |
Jan | 150.73 | 37.7 | 144.27 | 51.0 | 6.46 |
Dec 2010 | 154.15 | 17.9 | 141.07 | 25.6 | 13.08 |
Source: Ministry of Commerce, People’s Republic of China
http://english.mofcom.gov.cn/article/statistic/BriefStatistics/
Table VC-2 provides cumulative exports, imports and the trade balance of China together with percentage growth of exports and imports relative to a year earlier. Exports decreased 3.3 percent in Jan 2015 relative to a year earlier and imports fell 19.9 percent for surplus of $60.0 billion. Exports increased 6.1 percent in Jan-Dec 2014 relative to a year earlier and imports increased 0.4 percent for cumulative surplus of $382.46 billion. Exports increased 5.7 percent cumulatively in Jan-Nov 2014 relative to a year earlier while imports increased 0.8 percent for cumulative trade surplus of $332.5 billion. Exports increased 5.8 percent cumulatively in Jan-Oct 2014 relative to a year while earlier while imports increased 1.6 percent for cumulative trade surplus of $277.1 billion. Exports increased 5.1 percent cumulatively in Jan-Sep 2014 relative to a year earlier while imports increased 1.3 percent for cumulative trade surplus of $231.6 billion. Exports grew 3.8 percent cumulatively in Jan-Aug 2014 relative to a year earlier while imports increased 1.6 percent for cumulative surplus of $200 billion. Exports increased 2.9 percent in the cumulative Jan-July 2014 relative to a year earlier and imports 1.1 percent for cumulative surplus of $150.6 billion. Exports increased 0.9 percent in Jan-Jun 2014 relative to a year earlier and imports increased 1.5 percent for cumulative surplus of $102.7 billion. Exports fell 0.4 percent in Jan-May 2014 relative to a year earlier while imports increased 0.8 percent for cumulative surplus of $71.11 billion. Exports fell 2.3 percent in Jan-Apr 2014 relative to the same period a year earlier and imports increased 1.5 percent for cumulative trade surplus of $35.19 billion.
Exports fell 3.4 percent in Jan-Mar 2014 relative to a year earlier while imports increased 1.6 percent for cumulative surplus of $16.74 billion. Exports fell 1.6 percent and imports increased 10.0 percent for cumulative surplus of $8.88 billion in Jan-Feb 2014. Exports increased 10.6 percent in Jan 2014 and imports 10.0 percent for cumulative surplus of $31.87 billion. Exports increased 7.9 percent in Jan-Dec 2013 relative to the same period a year earlier while imports increased 7.3 percent for cumulative surplus of $259.75 billion. Exports grew 8.3 percent in Jan-Nov 2013 relative to a year earlier while imports increased 7.1 percent for cumulative surplus of $234.15 billion. Exports grew 7.8 percent in Jan-Oct 2013 relative to a year earlier while imports grew 7.3 percent for cumulative trade surplus of $200.46 billion. Exports increased 8.0 percent in Jan-Sep 2013 relative to a year earlier while imports increased 7.3 percent for cumulative surplus of $169.36 billion. Exports increased 9.2 percent in in Jan-Aug 2013 relative to a year earlier and imports 7.3 percent for trade surplus of $154.21 billion. Exports grew 9.5 percent in Jul 2013 relative to a year earlier and imports 7.3 percent with cumulative surplus of $125.71 billion. Exports increased 10.4 percent cumulatively in Jun 2013 and imports 6.7 for cumulative surplus of $107.95 billion. Exports increased 13.5 percent in Jan-May 2013 relative to a year earlier while imports increased 8.2 percent for cumulative surplus of $80.87 billion. Exports increased 17.4 percent in Jan-Apr 2012 relative to a year earlier while imports increased 10.6 percent for cumulative surplus of $60.98 billion. Exports increased 18.4 percent in Jan-Mar 2013 relative to a year earlier while imports increased 8.4 percent for cumulative surplus of $43.07 billion. Cumulative exports in Jan-Feb 2013 grew 23.6 percent relative to a year earlier and imports 5.0 percent for trade surplus of $44.15 billion. There is strong beginning of 2013 with trade surplus of $29.15 in Jan 2013 and growth of exports of 25.0 percent and imports of 28.8 percent. The trade balance of $231.1 billion in 2012 is stronger than the trade balance of $155.14 billion in 2011. The trade balance in 2011 of $155.14 billion is lower than those from 2008 to 2010. China’s trade balance reached $231.1 billion in Jan-Dec 2012 with cumulative growth of exports of 7.9 percent and 4.3 percent of imports, which is much lower than 20.3 percent for exports and 24.9 percent for imports in 2011 and 31.3 percent for exports and 38.7 percent for imports in 2010. There is a rare cumulative deficit of $4.2 billion in Feb 2012 reversed to a small surplus in Mar 2012 and a higher surplus of $19.3 billion in Apr 2012, increasing to $37.9 billion in May, $68.9 billion in Jun 2012, $94.1 billion in Jul 2012, $120.6 billion in Aug 2012, $148.3 billion in Sep 2012, $180.24 billion in Oct 2012, $199.54 billion in Nov 2012 and $231.1 billion in Dec 2012. More observations are required to detect trends of Chinese trade.
Table VC-2, China, Year to Date Exports, Imports and Trade Balance USD Billion and ∆%
Exports | ∆% Relative | Imports USD | ∆% Relative | Balance | |
Jan 2015 | 200.29 | -3.3 | 140.38 | -19.9 | 60.0 |
Dec 2014 | 2342.8 | 6.1 | 1960.3 | 0.4 | 382.46 |
Nov | 2115.4 | 5.7 | 1782.9 | 0.8 | 332.5 |
Oct | 1903.8 | 5.8 | 1626.7 | 1.6 | 277.1 |
Sep | 1697.1 | 5.1 | 1465.5 | 1.3 | 231.6 |
Aug | 1483.5 | 3.8 | 1282.9 | 0.6 | 200.5 |
Jul | 1275.0 | 2.9 | 1125.0 | 1.1 | 150.6 |
Jun | 1062.1 | 0.9 | 959.4 | 1.5 | 102.7 |
May | 875.32 | -0.4 | 804.21 | 0.8 | 71.11 |
Apr | 679.85 | -2.3 | 644.66 | 1.5 | 35.19 |
Mar | 491.31 | -3.4 | 474.57 | 1.6 | 16.74 |
Feb | 321.23 | -1.6 | 312.35 | 10.0 | 8.88 |
Jan | 207.13 | 10.6 | 175.26 | 10.0 | 31.87 |
Dec 2013 | 2210.04 | 7.9 | 1950.29 | 7.3 | 259.75 |
Nov | 2002.32 | 8.3 | 1768.17 | 7.1 | 234.15 |
Oct | 1800.21 | 7.8 | 1599.75 | 7.3 | 200.46 |
Sep | 1614.86 | 8.0 | 1445.50 | 7.3 | 169.36 |
Aug | 1429.26 | 9.2 | 1275.05 | 7.3 | 154.21 |
Jul | 1238.73 | 9.5 | 1113.02 | 7.3 | 125.71 |
Jun | 1052.82 | 10.4 | 944.87 | 6.7 | 107.95 |
May | 878.56 | 13.5 | 797.69 | 8.2 | 80.87 |
Apr | 695.87 | 17.4 | 634.88 | 10.6 | 60.98 |
Mar | 508.87 | 18.4 | 465.80 | 8.4 | 43.07 |
Feb | 326.73 | 23.6 | 282.58 | 5.0 | 44.15 |
Jan | 187.37 | 25.0 | 158.22 | 28.8 | 29.15 |
Dec 2012 | 2048.93 | 7.9 | 1817.83 | 4.3 | 231.11 |
Nov | 1849.91 | 7.3 | 1650.37 | 4.1 | 199.54 |
Oct | 1670.90 | 7.8 | 1490.67 | 4.6 | 180.24 |
Sep | 1495.39 | 7.4 | 1347.08 | 4.8 | 148.31 |
Aug | 1309.11 | 7.1 | 1188.51 | 5.1 | 120.61 |
Jul | 1131.24 | 7.8 | 1037.14 | 6.4 | 94.10 |
Jun | 954.38 | 9.2 | 885.46 | 6.7 | 68.91 |
May | 774.40 | 8.7 | 736.49 | 6.7 | 37.92 |
Apr | 593.24 | 6.9 | 573.94 | 5.1 | 19.3 |
Mar | 430.02 | 7.6 | 429.36 | 6.6 | 0.66 |
Feb | 264.40 | 6.9 | 268.64 | 7.7 | -4.24 |
Jan | 149.94 | -0.5 | 122.66 | -15.3 | 27.28 |
Dec 2011 | 1,898.60 | 20.3 | 1,743.46 | 24.9 | 155.14 |
Nov | 1,724.01 | 21.1 | 1585.61 | 26.4 | 138.40 |
Oct | 1,549.71 | 22.0 | 1,425.68 | 26.9 | 124.03 |
Sep | 1,392.27 | 22.7 | 1,285.17 | 26.7 | 107.10 |
Aug | 1,222.63 | 23.6 | 1,129.90 | 27.5 | 92.73 |
Jul | 1,049.38 | 23.4 | 973.17 | 26.9 | 76.21 |
Jun | 874.3 | 24.0 | 829.37 | 27.6 | 44.93 |
May | 712.37 | 25.5 | 689.41 | 29.4 | 22.96 |
Apr | 555.30 | 27.4 | 545.02 | 29.6 | 10.28 |
Mar | 399.64 | 26.5 | 400.66 | 32.6 | -1.02 |
Feb | 247.47 | 21.3 | 248.36 | 36.0 | -0.89 |
Jan | 150.7 | 37.7 | 144.27 | 51.0 | 6.46 |
Dec 2010 | 1577.93 | 31.3 | 1394.83 | 38.7 | 183.10 |
Source: Ministry of Commerce, People’s Republic of China
http://english.mofcom.gov.cn/article/statistic/BriefStatistics/
© Carlos M. Pelaez, 2009, 2010, 2011, 2012, 2013, 2014, 2015.
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