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Impact of Environmental Regulation on the Employment Effect of High-Tech Industries: Evidence from Spatial Durbin Model

Author

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  • Bin Xiong

    (School of Public Administration, Guangxi University, Nanning 530004, China
    The Research Base for Humanity Spirit and Social Development of Revolutionary Areas in Guizhou, Yunnan, Guangxi and Their Border Areas, Baise 533000, China)

  • Xingdong Xie

    (School of Public Administration, Guangxi University, Nanning 530004, China)

Abstract

To address the challenges posed by the living environment and promote sustainable development, the Chinese government implemented a new environmental protection law in 2015. Based on the provincial panel data of 30 provinces, autonomous regions, and municipalities in China from 2010 to 2019, the spatial Durbin model is used to investigate the impact of environmental regulation on the employment effect of high-tech industries, and the spatial effect decomposition is used to further clarify the specific impact of environmental regulation on the employment of high-tech industries. The research finds that: Firstly, at the present stage, environmental regulation in China remains at a relatively low level. The employment generation effect of environmental regulation on high-tech industries is insufficient to offset the employment loss effect. Strengthening environmental regulation in the short term is unfavorable for employment in high-tech industries. Secondly, adjacent regions adopt a strategy of competitive differential environmental regulation between governments. The local government relaxes environmental regulation to increase employment, while the neighboring government strengthens environmental regulation to promote industrial upgrading. This approach benefits local employment in high-tech industries in the short term but hinders the sustainable development of high-tech industries. Thirdly, environmental regulation exhibits significant negative spatial spillover effects. Strengthening local environmental regulation will suppress the growth of high-tech industry employment in neighboring areas, and the spatial spillover effect of environmental regulation is primarily influenced by geographic location.

Suggested Citation

  • Bin Xiong & Xingdong Xie, 2024. "Impact of Environmental Regulation on the Employment Effect of High-Tech Industries: Evidence from Spatial Durbin Model," Sustainability, MDPI, vol. 16(18), pages 1-22, September.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:18:p:7960-:d:1476404
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    References listed on IDEAS

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    1. Brian R. Copeland & M. Scott Taylor, 1994. "North-South Trade and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(3), pages 755-787.
    2. Tifani Husna Siregar, 2022. "Investigating the Effects of Minimum Wages on Employment, Unemployment and Labour Participation in Java: A Dynamic Spatial Panel Approach," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 58(2), pages 195-227, May.
    3. Yueming Zheng & Cheng Zhang & YingDong Wang, 2021. "Factors affecting employment quality in China: evidence based on spatial panel data model," Applied Economics Letters, Taylor & Francis Journals, vol. 28(11), pages 906-909, June.
    4. Xinan Gu & Lingying Pan, 2022. "The Impact of Industrial Green Transformation on Regional Economic Development in China: An Empirical Study Based on Spatial and Threshold Effects," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    5. Zhenyu Jiang & Zongjun Wang & Yanqi Zeng, 2020. "Can voluntary environmental regulation promote corporate technological innovation?," Business Strategy and the Environment, Wiley Blackwell, vol. 29(2), pages 390-406, February.
    6. Guangqing Chi & Jun Zhu, 2008. "Spatial Regression Models for Demographic Analysis," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 27(1), pages 17-42, February.
    7. Xu, Feng & Chi, Guangqing & Zhang, Zhexi & Yang, Jianxin, 2023. "How does quality regional growth affect land resources dependence in China? Evidence based on spatial Durbin panel models," Resources Policy, Elsevier, vol. 81(C).
    8. James P. LeSage & R. Kelley Pace, 2008. "Spatial Econometric Modeling Of Origin‐Destination Flows," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 941-967, December.
    9. A. Bovenberg & Frederick Van der Ploeg, 1998. "Consequences of Environmental Tax Reform for Unemployment and Welfare," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 12(2), pages 137-150, September.
    10. Yazid Dissou & Qian Sun, 2013. "GHG Mitigation Policies and Employment: A CGE Analysis with Wage Rigidity and Application to Canada," Canadian Public Policy, University of Toronto Press, vol. 39(s2), pages 53-66, August.
    11. E. Mark Curtis, 2018. "Who Loses under Cap-and-Trade Programs? The Labor Market Effects of the NOx Budget Trading Program," The Review of Economics and Statistics, MIT Press, vol. 100(1), pages 151-166, March.
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