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| 1 |
ID:
106236
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2011.
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| Summary/Abstract |
This paper examines whether industrial growth during economic development is associated with a high workplace fatality rate by using panel data from China. Controlling for provincial and year fixed effects, our estimations show that provincial industrial growth has a positive impact on the workplace fatality rate. We also find that both the growth of industrial labor productivity and the growth of industrial employment have an impact on workplace fatalities. Our instrumental variable fixed effects estimations, which control for simultaneity, show an even greater effect of industrial growth on the fatality rate. Our empirical findings suggest that the Chinese government ought to reconsider its growth-centered policies to save lives.
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| 2 |
ID:
113006
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| Publication |
2012.
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| Summary/Abstract |
The present paper calculates 35 industrial sectors' similarity matrices for the period of 1997-2008 using China's input-output tables for 1997, 2002 and 2007, and uses these to measure inter-industry technology spillover to analyze the spillover effects on industrial sectors' labor productivity. The empirical analysis shows that inter-industry technology spillover has a significant positive effect on the labor productivity of each industry. The elasticity of productivity effects of inter-industry technology spillover is not only larger than that of direct R&D input, but also increases over time. We group the industries into four major categories and find that the inter-industry technology spillover effect within the categories is, on average, greater than that between the four categories, indicating that technology spillover occurs more easily between similar industries. This research shows that the interindustry technology spillover effect in China has begun to increase, and the government should take advantage of this effect.
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| 3 |
ID:
116520
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2012.
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| Summary/Abstract |
This paper investigates the spatial structure of the provincial economic growth and the spatial spillover in China from 1998 to 2008. First, we apply Moran's index to detect the positive spatial autocorrelations across the provinces of China. Second, we build a new economic geography model and the role of market potential in promoting regional income growth is highlighted. Third, two measures of market potential are constructed and a spatial error model is adopted to obtain the estimations, considering spatial autocorrelation. Controlling for major inputs, such as labor, capital, and human capital, the market potential continues to promote substantial regional growth. On average, an increase of 10 percentage points in the market potential increases the regional GDP per capita growth by 3-5 percentage points.
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