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

Author

Listed:
  • Xiangxiang Zhang

    (Henan University of Technology)

  • Hong Liu

    (Zhongnan University of Economics and Law)

  • Qiaoyi Peng

    (Zhongnan University of Economics and Law)

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.

Suggested Citation

  • Xiangxiang Zhang & Hong Liu & Qiaoyi Peng, 2024. "Influences and transmission mechanisms of advanced human capital structure on air pollution: evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 28317-28333, November.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:11:d:10.1007_s10668-023-03813-w
    DOI: 10.1007/s10668-023-03813-w
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    References listed on IDEAS

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    1. Dongsheng Zhan & Mei-Po Kwan & Wenzhong Zhang & Shaojian Wang & Jianhui Yu, 2017. "Spatiotemporal Variations and Driving Factors of Air Pollution in China," IJERPH, MDPI, vol. 14(12), pages 1-18, December.
    2. Stephen Bond & Anke Hoeffler, 2001. "GMM Estimation of Empirical Growth Models," Economics Series Working Papers 2001-W21, University of Oxford, Department of Economics.
    3. Siqi Zheng & Matthew E. Kahn, 2017. "A New Era of Pollution Progress in Urban China?," Journal of Economic Perspectives, American Economic Association, vol. 31(1), pages 71-92, Winter.
    4. Stephen Bond & Anke Hoeffler & Jonathan Temple, 2001. "GMM Estimation of Empirical Growth Models," Economics Papers 2001-W21, Economics Group, Nuffield College, University of Oxford.
    5. Ke-Liang Wang & Li-Li Ding & Jian-Min Wang & Mian Yang, 2020. "Analysis of provincial total-factor air pollution efficiency in China by using context-dependent slacks-based measure considering undesirable outputs," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1899-1921, November.
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