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WANG, QUNYONG (2) answer(s).
 
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ID:   136269


Does religious beliefs affect economic growth: evidence from provincial-level panel data in China / Wang, Qunyong; Lin, Xinyu   Article
Wang, Qunyong Article
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Summary/Abstract More and more literature on economic growth and development has increasingly focused on long-run effects of geographic, historical, and cultural factors on productivity and income per capita. This paper investigates the effect of religious beliefs on economic growth using provincial panel data from 2001 to 2011 in China. It's very meaningful to study the role of religion playing in economic development since religion has influence on political preference, human capital and work ethic, especially in current China which is faced with income disparity, environmental pollution, and official corruption. Our results reveal that, among the different religions, Christianity has the most significant effect on economic growth. This conclusion is consistent among different estimators and robust with stability over time. However, no consistent or robust conclusions can be drawn for other religions. Different estimation methods give different signs or significance. Given the very few studies and limited data resources about China in this field, the paper as a tentative study provides a brand new viewpoint.
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2
ID:   161861


Wage penalty of overeducation: new micro-evidence from China / Wua, Na; Wang, Qunyong   Journal Article
Wang, Qunyong Journal Article
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Summary/Abstract This paper studies the wage penalty of overeducation using the World Bank's STEP (Skills Towards Employability and Productivity) survey in China. Based on the measurements of cognitive, technical, and non-cognitive skills, the overeducated have systematically lower abilities compared with the well-matched, just as the skill heterogeneity theory predicts. Endogenous switching model is adopted to estimate the effect of overeducation on wage. We find that the overeducated workers with tertiary education suffer from significant loss compared with the well-matched workers, while overeducation has no significant effect on workers with high school education. The causality inference using nearest neighbor matching and propensity score weighted regression methods reveals that our conclusions are robust.
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