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| 1 |
ID:
089548
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| Publication |
2009.
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| Summary/Abstract |
This paper examines economic returns to schooling in urban China using ordinary least square (OLS) and instrumental variable (IV) methodologies. First, we find that OLS estimates of the returns to education are lower in China than in other transition economies, whereas IV estimates are higher in China. Second, we find that OLS, a method for estimating the returns to education without control for endogeneity bias, may underestimate the true rates of return for men. In addition, if we do not control for endogeneity bias and the sample selection bias, we may further underestimate the true rates of return for women. Finally, we find that OLS estimates of the returns to education for men are slightly higher than for women. The IV estimates for women are higher than those for men, and this difference increases after correcting for selectivity biases.
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| 2 |
ID:
181615
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| Summary/Abstract |
Firms actively participate in the production of the global value chain (GVC), which is an important driving force for economic development. Using a difference-in-difference method, our research shows that industries that are relatively more human-capital intensive experienced a larger GVC position upgrading after 2003 than they had in prior years. Second, mechanism analysis shows that human capital expansion increases firms’ GVC position not only through an imported intermediate input effect but also through an innovation effect. Third, this study shows that increases in the college-educated labor force have a heterogeneous effect on a firm's GVC position across firms’ various characteristics. Human capital expansion has the largest positive effect on state-owned firms relative to foreign and domestic private firms. Human capital expansion has also significantly improved the GVC position of firms located in China's eastern and central regions. The findings of this study indicate that it helps upgrading the GVC position of Chinese firms.
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| 3 |
ID:
090109
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| Publication |
2009.
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| Summary/Abstract |
Since 2003, China's labor market has been facing two coexisting crises: a rural labor surplus and a severe shortage of migrant labor. Using data from the 2000 China Health and Nutrition Survey questionnaire, which covers 288 villages in 36 counties, this paper attempts to find a solution to this dilemma. Specifically, a multinomial logit model, a Mincer-type model and a probit model are applied to examine the effect of educational level on the employment choices for rural laborers, and on the wages and the employment status of migrants. Based on the results of our analysis, we propose the implementation of policy aimed at increasing the educational level of rural dwellers, in conjunction with other policies to eliminate all artificial barriers, to facilitate the migration of rural laborers.
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