What Drives Long-Run Economic Growth?

June 01, 2015
By  YiLi Chien

There are three main factors that drive economic growth:

  • Accumulation of capital stock
  • Increases in labor inputs, such as workers or hours worked
  • Technological advancement

Growth accounting measures the contribution of each of these three factors to the economy. Thus, a country’s growth can be broken down by accounting for what percentage of economic growth comes from capital, labor and technology.

It has been shown, both theoretically and empirically, that technological progress is the main driver of long-run growth. The explanation is actually quite straightforward. Holding other input factors constant, the additional output obtained when adding one extra unit input of capital or labor will eventually decline, according to the law of diminishing returns. As a result, a country cannot maintain its long-run growth by simply accumulating more capital or labor. Therefore, the driver of long-run growth has to be technological progress.

This post further investigates the relationship between sources of past economic growth and future performances, especially the periods after the Great Recession, among developed countries. We collected data from the Conference Board’s Total Economy Database for nine major advanced economiesThe countries are Germany, Italy, France, the United States, Japan, Australia, Canada, Great Britain and Spain. from 1990 to 2013 and performed the following growth accounting exercise:

For each country, per capita output growth is first broken down into the respective contributions from capital stock, labor inputs and technological advancements (represented by total factor productivity, or TFP).The labor inputs are measured by the total labor hours adjusted by quality of labor (human capital). Next, we divide our sample into two periods: before and after the financial crisis. This allows us to check if drivers of growth relate to the economic performance of a country, especially during or after the recession. Finally, we plot average gross domestic product (GDP) growth after the financial crisis against the average contribution to output growth of labor, capital and TFP before 2007, as shown in the figures below.

Labor’s Contribution to Economic Growth

Scatter plot showing a negative correlation between average labor contribution to GDP growth (1990-2007) on the x-axis and average GDP growth (2008-2013) on the y-axis for nine countries. Germany and Japan show low labor contribution with positive post-crisis growth, while Spain shows high labor contribution (about 1.5%) with the lowest post-crisis growth (about -1.75%). A downward-sloping blue trend line indicates a correlation coefficient of -0.68. Other countries plotted include Australia, USA, Canada, France, Great Britain, and Italy.

SOURCES: Conference Board’s Total Economy Database and authors’ calculations.

NOTE: The blue line shows the correlation, which was -0.68.

Total Factor Productivity’s Contribution to Economic Growth

Scatter plot showing a positive correlation between average TFP contribution to GDP growth (1990-2007) on the x-axis and average GDP growth (2008-2013) on the y-axis for nine countries. Germany shows high TFP contribution (about 1%) with strong post-crisis growth (about 1%), while Spain shows negative TFP contribution with the lowest post-crisis growth (about -1.75%). An upward-sloping blue trend line indicates a correlation coefficient of 0.59. Other countries plotted include Australia, Canada, Japan, USA, France, Great Britain, and Italy.

SOURCES: Conference Board’s Total Economy Database and authors’ calculations.

NOTE: The blue line shows the correlation, which was -0.59.

Capital’s Contribution to Economic Growth

Scatter plot titled showing a negative correlation between average capital contribution to GDP growth (1990-2007) on the x-axis and average GDP growth (2008-2013) on the y-axis for nine countries. Germany shows lower capital contribution (about 0.65%) with strong post-crisis growth (about 1%), while Spain shows the highest capital contribution (about 1.5%) with the lowest post-crisis growth (about -1.75%). A downward-sloping blue trend line indicates a correlation coefficient of -0.30. Other countries plotted include Australia, USA, Japan, Canada, France, Great Britain, and Italy.

SOURCES: Conference Board’s Total Economy Database and authors’ calculations.

NOTE: The blue line shows the correlation, which was -0.30.

The result shows a positive correlation between past TFP and future growth among developed economies. The correlation coefficient was close to 0.60. Namely, those countries whose growth was driven by TFP before the crisis tended to have higher output growth afterward. However, the relationships between GDP growth after the crisis and the contribution to GDP from capital or labor were both negative. The correlation between output growth and labor was -0.68 and between output growth and capital was -0.30. The negative correlations suggest that countries with growth driven by capital or labor accumulation are less likely to do well in the future, especially during economic downturns. Our simple exercise also implies that the health of an economy depends on the source of growth instead of the growth itself.

In addition to the role TFP plays in driving long-run growth, this simple exercise shows that a country with robust TFP-driven growth prior to the Great Recession tended to do well relative to other countries following the recession.

Notes

  1. The countries are Germany, Italy, France, the United States, Japan, Australia, Canada, Great Britain and Spain.
  2. The labor inputs are measured by the total labor hours adjusted by quality of labor (human capital).

Additional Resources

ABOUT THE AUTHOR
YiLi Chien
YiLi Chien

YiLi Chien is an economist and senior economic policy advisor at the Federal Reserve Bank of St. Louis. His areas of research include macroeconomics, household finance and asset pricing. He joined the St. Louis Fed in 2012. Read more about the author and his research.

YiLi Chien
YiLi Chien

YiLi Chien is an economist and senior economic policy advisor at the Federal Reserve Bank of St. Louis. His areas of research include macroeconomics, household finance and asset pricing. He joined the St. Louis Fed in 2012. Read more about the author and his research.

This blog offers commentary, analysis and data from our economists and experts. Views expressed are not necessarily those of the St. Louis Fed or Federal Reserve System.


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