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Research on the Optimal Energy Saving and Emission Reduction Path for Promoting High-Quality Industrial Development in Hubei Province

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  • Hongxing Tu

    (Economics and Management School, Hubei Polytechnic University, Huangshi 435003, China
    Research Center for Mining and Metallurgy Culture and Socio-Economic Development in the Middle Reachers of Yangze River, Huangshi 435003, China)

  • Lin Wang

    (School of Economics and Management, China University of Geosciences, Wuhan 430074, China)

  • Xu Xiao

    (Business School, Central South University, Changsha 410083, China)

Abstract

In December 2019, a novel coronavirus broke out in Wuhan City, Hubei Province, and, as the center of the coronavirus disease 2019 (COVID-19) epidemic, the economy and production throughout Hubei Province suffered huge temporary impacts. Based on the input–output and industrial pollution emissions data of 33 industrial industries in Hubei from 2010 to 2019, this article uses the non-parametric frontier analysis method to calculate the potential production losses and compliance costs caused by environmental regulations in Hubei’s industrial sector by year and industry. Research has found that the environmental technology efficiency of the industrial sector in Hubei is showing a trend of increasing year-on-year, but the overall efficiency level is still not high, and there is great room for improvement. The calculation results with and without environmental regulatory constraints indicate that, generally, production losses and compliance costs may be encountered in the industrial sector in Hubei, and there are significant differences by industry. The potential production losses and compliance costs in pollution-intensive industries are higher than those in clean production industries. On this basis, we propose relevant policy recommendations to improve the technological efficiency of Hubei’s industrial environment, in order to promote the high-quality development of Hubei’s industry in the post-epidemic era.

Suggested Citation

  • Hongxing Tu & Lin Wang & Xu Xiao, 2023. "Research on the Optimal Energy Saving and Emission Reduction Path for Promoting High-Quality Industrial Development in Hubei Province," Sustainability, MDPI, vol. 15(11), pages 1-13, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8786-:d:1158963
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    References listed on IDEAS

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    1. Paul Lanoie & Michel Patry & Richard Lajeunesse, 2008. "Environmental regulation and productivity: testing the porter hypothesis," Journal of Productivity Analysis, Springer, vol. 30(2), pages 121-128, October.
    2. Rubashkina, Yana & Galeotti, Marzio & Verdolini, Elena, 2015. "Environmental regulation and competitiveness: Empirical evidence on the Porter Hypothesis from European manufacturing sectors," Energy Policy, Elsevier, vol. 83(C), pages 288-300.
    3. Hongxing Tu & Wei Dai & Xu Xiao, 2022. "Study on the Environmental Efficiency of the Chinese Cement Industry Based on the Undesirable Output DEA Model," Energies, MDPI, vol. 15(9), pages 1-13, May.
    4. Virginia D. McConnell & Robert M. Schwab, 1990. "The Impact of Environmental Regulation on Industry Location Decisions: The Motor Vehicle Industry," Land Economics, University of Wisconsin Press, vol. 66(1), pages 67-81.
    5. Chen, Shiyi, 2013. "What is the potential impact of a taxation system reform on carbon abatement and industrial growth in China?," Economic Systems, Elsevier, vol. 37(3), pages 369-386.
    6. Tombe, Trevor & Winter, Jennifer, 2015. "Environmental policy and misallocation: The productivity effect of intensity standards," Journal of Environmental Economics and Management, Elsevier, vol. 72(C), pages 137-163.
    7. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    8. Atakelty Hailu & Terrence S. Veeman, 2001. "Non-parametric Productivity Analysis with Undesirable Outputs: An Application to the Canadian Pulp and Paper Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 605-616.
    9. R. G. Chambers & Y. Chung & R. Färe, 1998. "Profit, Directional Distance Functions, and Nerlovian Efficiency," Journal of Optimization Theory and Applications, Springer, vol. 98(2), pages 351-364, August.
    10. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2007. "Environmental production functions and environmental directional distance functions," Energy, Elsevier, vol. 32(7), pages 1055-1066.
    11. Zhengge Tu & Yu Cao & Botao Liu, 2023. "Can Environmental Regulations Promote Regional Industrial Transfer?," Sustainability, MDPI, vol. 15(7), pages 1-23, March.
    12. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
    13. Barbera, Anthony J. & McConnell, Virginia D., 1990. "The impact of environmental regulations on industry productivity: Direct and indirect effects," Journal of Environmental Economics and Management, Elsevier, vol. 18(1), pages 50-65, January.
    14. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
    15. Scheel, Holger, 2001. "Undesirable outputs in efficiency valuations," European Journal of Operational Research, Elsevier, vol. 132(2), pages 400-410, July.
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