Human Capital, Economic Growth, and Regional Inequality in China

We study the dispersion in rates of provincial economic- and TFP growth in China. Our results show that regional growth patterns can be understood as a function of several interrelated factors, which include investment in physical capital, human capital, and infrastructure capital; the infusion of new technology and its regional spread; and market reforms, with a major step forward occurring following Deng Xiaoping’s “South Trip” in 1992. We find that FDI had much larger effect on TFP growth before 1994 than after, and we attribute this to emergence of other channels of technology transfer when marketization accelerated. We find that human capital positively affects output per worker and productivity growth. In particular, in terms of its direct contribution to production, educated labor has a much higher marginal product. Moreover, we estimate a positive, direct effect of human capital on TFP growth. This direct effect is hypothesized to come from domestic innovation activities. The estimated spillover effect of human capital on TFP growth is positive and statistically significant, which is very robust to model specifications and estimation methods. The spillover effect appears to be much stronger before 1994. We conduct cost-benefit analysis and a policy “experiment,” in which we project the impact increases in human capital and infrastructure capital on regional inequality. We conclude that investing in human capital will be an effective policy to reduce regional gaps in China as well as an efficient means to promote economic growth.http://deepblue.lib.umich.edu/bitstream/2027.42/57237/1/wp857 .pd

Human Capital, Economic Growth, and Regional Inequality in China

We study the dispersion in rates of provincial economic- and TFP growth in China. Our results show that regional growth patterns can be understood as a function of several interrelated factors, which include investment in physical capital, human capital, and infrastructure capital; the infusion of new technology and its regional spread; and market reforms, with a major step forward occurring following Deng Xiaoping’s “South Trip” in 1992. We find that FDI had much larger effect on TFP growth before 1994 than after, and we attribute this to emergence of other channels of technology transfer when marketization accelerated. We find that human capital positively affects output per worker and productivity growth. In particular, in terms of its direct contribution to production, educated labor has a much higher marginal product. Moreover, we estimate a positive, direct effect of human capital on TFP growth. This direct effect is hypothesized to come from domestic innovation activities. The estimated spillover effect of human capital on TFP growth is positive and statistically significant, which is very robust to model specifications and estimation methods. The spillover effect appears to be much stronger before 1994. We conduct cost-benefit analysis and a policy “experiment,” in which we project the impact increases in human capital and infrastructure capital on regional inequality. We conclude that investing in human capital will be an effective policy to reduce regional gaps in China as well as an efficient means to promote economic growth.Regional Inequality, China, Human Capital, Foreign Direct Investment, Spillovers, Technology Transmission

Human Capital, Economic Growth, and Regional Inequality in China

We show how regional growth patterns in China depend on physical,, human, and infrastructure capital; foreign direct investment (FDI); and market reforms, especially the reforms that followed Deng Xiaoping’s South Trip in 1992 those that resulted from serious hardening of budget constraints of state enterprises around 1997. We find that FDI had a much larger effect on TFP growth before 1994 than after, and we attribute this to the encouragement of and increasing success of private and quasi-private enterprises. We find that human capital positively affects output per worker and productivity growth in our cross-provincial study. Moreover, we find both direct and indirect effects of human capital on TFP growth. The direct effect is hypothesized to come from domestic innovation activities, while the indirect impact is a spillover effect of human capital on TFP growth. We conduct cost-benefit analysis of hypothetical investments in human capital and infrastructure. We find that, while investment in infrastructure generates higher returns in the developed, eastern regions than in the interior, investing in human capital generates slightly higher or comparable returns in the interior regions. We conclude that human capital investment in less-developed areas can improve economic efficiency, neither investment strategy is a magic bullet for reducing China’s regional income disparities.

Modelling knowledge and innovation spillovers in China

The papers in this special issue focus on modelling knowledge and innovation spillovers with an emphasis on the context of China. The first paper decomposes the relative importance of economic growth into knowledge spillovers and technical diffusion, using cross-country data on a worldwide scale, as well as provincial data at the regional scale of China. The second paper investigates whether the economic and financial performances of reformed state-owned enterprises are affected by the presence of non-state-owned enterprises from related industries. The final paper examines how the spatial spillovers from inward and outward foreign direct investment affect the innovation activities of domestic firms in China's Shandong province. This special issue contributes to a better understanding of the channels for transferring knowledge and innovation spillovers in China.</p

Modelling knowledge and innovation spillovers in China

The papers in this special issue focus on modelling knowledge and innovation spillovers with an emphasis on the context of China. The first paper decomposes the relative importance of economic growth into knowledge spillovers and technical diffusion, using cross-country data on a worldwide scale, as well as provincial data at the regional scale of China. The second paper investigates whether the economic and financial performances of reformed state-owned enterprises are affected by the presence of non-state-owned enterprises from related industries. The final paper examines how the spatial spillovers from inward and outward foreign direct investment affect the innovation activities of domestic firms in China's Shandong province. This special issue contributes to a better understanding of the channels for transferring knowledge and innovation spillovers in China

Innovation, Wages, and Polarization in China

Using data from CHIPS 1995-2013, we find polarization of employment from middle-income Skilled jobs to work in the Unskilled and Self-Employment job categories. This redistribution of employment is consistent with the automation of routine noncognitive tasks in the skilled sector as analyzed in a number of papers on advanced economies and some work on the Chinese economy. While the Unskilled and Self-Employment jobs remain below median income, the redistribution of employment has not been associated with a commensurate polarization of labor income. We find no evidence of polarization of either employment or income at the upper end of the job-skill spectrum

Innovation, Wages, and Polarization in China

Using data from CHIPS 1995-2013, we find polarization of employment from middle-income Skilled jobs to work in the Unskilled and Self-Employment job categories. This redistribution of employment is consistent with the automation of routine noncognitive tasks in the skilled sector as analyzed in a number of papers on advanced economies and some work on the Chinese economy. While the Unskilled and Self-Employment jobs remain below median income, the redistribution of employment has not been associated with a commensurate polarization of labor income. We find no evidence of polarization of either employment or income at the upper end of the job-skill spectrum

Biphenyl-3,3′-dicarb­oxy­lic acid

The asymmetric unit of the title compound, C14H10O4, contains one half mol­ecule, the complete mol­ecule being generated by a twofold axis. The two benzene rings form a dihedral angle of 43.11 (5)°. Inter­molecular O—H⋯O hydrogen bonds link the mol­ecules into one-dimensional zigzag chains. These chains are further connected into two-dimensional supra­molecular layers by weak π–π stacking inter­actions between neighbouring benzene rings, with centroid–centroid distances of 3.7648 (8) Å