Abstract
In this chapter, we investigate the relationship between population size and economic growth using growth accounting and empirical studies. We begin with an explanation of the production function and growth theory. Although economic growth can be achieved by increasing the amounts of either labor or capital in the production function, it can also be realized through increased efficiency or, in other words, by improving how factors are used together. This improved efficiency, which contributes to an increase in GDP, is closely related to technological progress. Since it is generally difficult to estimate technological progress in the macroeconomy, we need to identify indicators that capture technological progress for our empirical research. We will demonstrate the significance of total factor productivity (TFP), which is a proxy variable for technological progress, by using the results of growth accounting in the OECD countries. The OECD (2013) has published growth accounting data for selected countries from 1985 to 2010. From this report, we find that the average economic growth rate was 2.58 %, and the average contribution ratio of multifactor productivity (MFP) was 45.5 %. In other words, almost half the economic growth came from the contribution of MFP. After reviewing the traditional growth theory, we present our empirical results on the relationship between population growth and economic growth. Our empirical tests confirm that the relationship between economic growth and population growth is negative, as proposed in the Solow growth model. However, theoretically, population growth should spur technological progress, as discussed in the previous chapter. We therefore conduct more direct empirical tests on the relationship between population growth and technological progress in the next chapter.
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Notes
- 1.
- 2.
The level of MFP is standardized as 100 in 2005. An old database contained MFP growth rates for 19 OECD countries for the period 1985–2007. In addition, MFP is formulated for the purpose of international comparison, and OECD statistical data cannot necessarily be considered the optimal basis for calculating MFP for individual nations.
- 3.
- 4.
Although, in the original OECD (2013) publication, the contribution of capital to GDP is broken down into Information and Communication Technologies (ICT) capital and non-ICT capital, we combined the two kinds of capital for convenience.
- 5.
Germany, Italy, Czech Republic, France, Japan, Sweden, Denmark, Finland, New Zealand, Canada, USA, Austria, Spain, Netherland, United Kingdom, Australia, Ireland, and South Korea.
- 6.
The OECD (2001) said that “conceptually, capital-labor productivity is not, in general, an accurate measure of technical change…” and MFP “reflects the combined effects of disembodied technical change, economies of scale, efficiency change, variations in capacity utilization and measurement errors” (p. 16).
References
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OECD. (2001). Measuring productivity OECD manual.
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Wölfl, A., & Hajkova, D. (2007). Measuring multifactor productivity growth. OECD Science, Technology and Industry Working Papers, 2007/05.
World Bank. (2015). World Bank Open Data. http://data.worldbank.org/ (Visit 2015.4.30).
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Kato, H. (2016). Population, Economic Growth, and TFP in Developed Countries. In: An Empirical Analysis of Population and Technological Progress. SpringerBriefs in Population Studies(). Springer, Tokyo. https://doi.org/10.1007/978-4-431-54959-8_2
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DOI: https://doi.org/10.1007/978-4-431-54959-8_2
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