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Explaining China’s Growth and Poverty Reduction Miracle

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The Quality of Growth and Poverty Reduction in China

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Abstract

China’s economic performance since the start of economic reform in 1978 is widely heralded as a growth miracle. Although many transitional and developing economies, such as Russia and India, have implemented similar economic reform policies over the past few decades, in the course of economic reform, many experienced economic volatility and political instability. These reforms brought only moderate economic growth to these countries. By contrast, China has managed to sustain a long period of growth at a record rate while also maintaining macroeconomic and social stability. This chapter has two focuses. First, it identifies key factors that underpin China’s growth miracle. The second focus is to explain how China achieves the poverty reduction miracle.

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Notes

  1. 1.

    The key papers include Bosworth and Collins (2008), Chow and Li (2002), Chow (1993), Dekle and Vandenbroucke (2006), Fan and Zhang (2002), Hu and Khan (1997), Holz (2006a), IMF (2011), Kuijs and Wang (2006), Kwan (2006), Riedel et al. (2007),Keefer (2007), Lin et al. (2003), Lin and Liu (2000), Naughton (2006), El-Erian and Spence (2008), Knight et al. (2011), and Wang and Yao (2003).

  2. 2.

    These include Botswana, Brazil, China, Hong Kong, Indonesia, Japan, the Republic of Korea, Malaysia, Malta, Oman, Singapore, Taiwan, and Thailand (see The Growth Report 2008).

  3. 3.

    Schumpeter (1942, p.83, his emphasis): “The fundamental impulse that sets and keeps the capitalist engine in motion comes from the new consumers’ goods, the new methods of production or transportation, the new markets,…This process incessantly revolutionizes the economic structure from within, incessantly destroying the old one, incessantly creating a new one. This process of Creative Destruction is the essential fact about capitalism.” Aghion and Howitt (1992) developed the endogenous growth models of creative destruction.

  4. 4.

    Most of China’s surge in exports has taken the form of processing manufactures operated by multinational companies taking advantage of low-cost Chinese labors. Using the combination of firm-level production data with product-level trade data, Fu (2011) shows that processing FDI has generated positive information spillover effects, such as market intelligence and marketing techniques on the export performance of indigenous firms, although the technological spillovers are found to hinder the performance of indigenous firms.

  5. 5.

    Some argue that a large component of this export growth in machinery is attributed to the growth in processing trade, i.e., assembling duty-free intermediate inputs of high skill content from developed economies such as the United States and Japan using low-cost Chinese laborers (Dean et al. 2007; Amiti and Freund 2008).

  6. 6.

    East Asia also includes Indonesia, South Korea, Malaysia, Philippines, Singapore, Taiwan, and Thailand.

  7. 7.

    Using the firm-level data, Li et al. show that the median Chinese firm is 156 % more productive than the median Indian firm.

  8. 8.

    Growth accounting approach provides an analytical framework for attributing changes in a country’s GDP into contributions from changes in its factor inputs—capital and labor, plus a residual, typically named total factor productivity (TFP). TFP is interpreted as a measure of efficiency gains from factor input usages due to technology upgrading and improvement in management and business climate in general. The Cobb-Douglas production function is widely used for estimating TFP: Y = AKα(LH) 1 − α where Y, A, K, and α are measures of output, total factor productivity, physical capital services, and capital’s share of income, respectively. The capital share α is usually assumed equal to 0.4–0.5. L and H are labor input and educational attainment (e.g., average years of schooling of the labor force). The product of L and H is adjusted labor input taking account of improvements in the level of skills. The growth per worker Δln(Y/L) can be decomposed into growth in capital per worker Δln(K/L), education per worker Δln(H), and a residual measure of the contribution of improvements in total factor productivity Δln(A) as expressed as Δln(Y/L) = α [Δln(K/L)] + (1 − α) ΔlnH + ΔlnA. In interpreting the results from growth accounting decomposition, cautions should be taken because TFP captures anything unmeasured in the production function, except capital and labor input, ranging from technical progress and the effects of other determinants of the efficiency of factor usage, such as government policy, political region, and weather shocks.

  9. 9.

    The average proportion of annual sale lost due to power outages for Chinese firms is 2 % compared with 9 % for Indian firms based on the firm-level data (Li et al.).

  10. 10.

    Hu Jintao’s report delivered at the 18th National Congress of the CPC on Nov. 8, 2012.

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Wang, X., Wang, L., Wang, Y. (2014). Explaining China’s Growth and Poverty Reduction Miracle. In: The Quality of Growth and Poverty Reduction in China. International Research on Poverty Reduction. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36346-7_3

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