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Influence of healthy human capital and environmental regulation on green total factor productivity in China

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  • Yueming Zheng
  • Yaqian Chen

Abstract

Environment affects the health of residents; to promote high‐quality economic development, their combined effect is crucial in measuring green total factor productivity (GTFP). Yet, scholars seldom consider the regulatory effect of the environment, spillover effect of healthy human capital, and synergistic effect between the environment and the health of residents. Using the panel threshold model and spatial Durbin model, along with the measurement of inter‐provincial GTFP from 2011 to 2019, we examine the effect of environmental regulation, healthy human capital, and their synergistic effect on the development of the green economy in China. The results reveal that environmental regulation inhibits the improvement of GTFP, whereas healthy human capital and interaction items promote the improvement of GTFP. There exists a threshold effect of environmental regulation on the promoting effect of healthy human capital on the GTFP in China, in general, and inland areas in particular. Moreover, environmental regulation, healthy human capital, and interaction items have significant spatial spillover effects on the GTFP in provinces with similar economic attributes.

Suggested Citation

  • Yueming Zheng & Yaqian Chen, 2023. "Influence of healthy human capital and environmental regulation on green total factor productivity in China," American Journal of Economics and Sociology, Wiley Blackwell, vol. 82(3), pages 241-261, May.
    • Handle: RePEc:bla:ajecsc:v:82:y:2023:i:3:p:241-261
    DOI: 10.1111/ajes.12506
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    References listed on IDEAS

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    1. Jing Chen & Liyuan Hu, 2022. "Does Environmental Regulation Drive Economic Growth through Technological Innovation: Application of Nonlinear and Spatial Spillover Effect," Sustainability, MDPI, vol. 14(24), pages 1-15, December.
    2. Anthony Strittmatter & Uwe Sunde, 2013. "Health and economic development—evidence from the introduction of public health care," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(4), pages 1549-1584, October.
    3. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
    4. Bruce Domazlicky & William Weber, 2004. "Does Environmental Protection Lead to Slower Productivity Growth in the Chemical Industry?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 28(3), pages 301-324, July.
    5. Nikos Chatzistamoulou & George Diagourtas & Kostas Kounetas, 2017. "Do pollution abatement expenditures lead to higher productivity growth? Evidence from Greek manufacturing industries," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(1), pages 15-34, January.
    6. Bruce E. Hansen, 2000. "Sample Splitting and Threshold Estimation," Econometrica, Econometric Society, vol. 68(3), pages 575-604, May.
    7. Idowu Opeoluwa Isreal Akingba & Shivee Ranjanee Kaliappan & Hanny Zurina Hamzah, 2018. "Impact of health capital on economic growth in Singapore: an ARDL approach to cointegration," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 45(2), pages 340-356, February.
    8. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    9. Yuhua Ma & Tong Lin & Qifang Xiao, 2022. "The Relationship between Environmental Regulation, Green-Technology Innovation and Green Total-Factor Productivity—Evidence from 279 Cities in China," IJERPH, MDPI, vol. 19(23), pages 1-22, December.
    10. Zhaohui Chong & Chenglin Qin & Xinyue Ye, 2016. "Environmental Regulation, Economic Network and Sustainable Growth of Urban Agglomerations in China," Sustainability, MDPI, vol. 8(5), pages 1-21, May.
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