Influences and transmission mechanisms of advanced human capital structure on air pollution: evidence from China

Xiangxiang Zhang (), Hong Liu () and Qiaoyi Peng ()
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Xiangxiang Zhang: Henan University of Technology
Hong Liu: Zhongnan University of Economics and Law
Qiaoyi Peng: Zhongnan University of Economics and Law

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2024, vol. 26, issue 11, No 47, 28317-28333

Abstract: Abstract In last few years, air pollution has caused many issues in China. With the flourishing of education, the relationship between advanced human capital structure (AHCS) and air pollution deserves thoughtful consideration. Therefore, this article uses a dynamic panel model to analyze the effect of AHCS on air pollution with data from 31 Chinese provinces from 2014 to 2020. Considering the potential endogenous problem of AHCS affecting air pollution, the system generalized method of moments method is employed to overcome endogenous bias. Empirical results reveal that, in China, AHCS significantly worsens air pollution. By comparing the dynamic panel model with the traditional static panel model, traditional mean regression was found to overestimate the impact of AHCS on air pollution. Then we explored the mechanism by which AHCS affects air pollution and found that industry structure, urbanization, per capita disposable income, and industry cluster mediate the effect of AHCS on air pollution. Finally, some policy implications are proposed to improve AHCS and air pollution control.

Keywords: Advanced human capital structure; Air pollution; China; Influences; Transmission mechanisms; Heterogeneity (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10668-023-03813-w

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