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Investigating the Effects of Environmental Regulation on Industrial Ecological Efficiency in China Using a Panel Smooth Transition Regression Model

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Listed:
  • Guokui Wang

    (College of Tourism, Xinyang Normal University, Xinyang 464000, China)

  • Xiaojia Guo

    (College of Geographical Science, Shanxi Normal University, Taiyuan 030031, China)

  • Guoqin Wu

    (College of Tourism, Xinyang Normal University, Xinyang 464000, China)

  • Yijia Zhu

    (College of Tourism, Xinyang Normal University, Xinyang 464000, China)

Abstract

Environmental regulation (ER) is a crucial tool used by governments to intervene in the environmental practices of enterprises, and it is recognized as a significant avenue to impact industrial ecological efficiency (IEE). This study uses the superefficiency SBM model to determine provincial IEE scores. Then, a panel smooth transition regression (PSTR) model is used to explore the effects of ER on IEE transition at different stages of economic growth. The main findings are as follows: Firstly, China’s IEE showed an overall upward trend, with small increments over the past two decades. Regions with higher IEE were mainly located in the east, while those with lower IEE were mostly in the less economically developed west. Secondly, the PSTR model revealed that ER had varying impacts on IEE at different stages of economic growth. ER positively influenced IEE in the early stages of economic growth. However, after surpassing the threshold of economic growth, ER began to contribute to reducing IEE scores. In addition to these findings, this study proposes a series of policy recommendations to strengthen IEE.

Suggested Citation

  • Guokui Wang & Xiaojia Guo & Guoqin Wu & Yijia Zhu, 2023. "Investigating the Effects of Environmental Regulation on Industrial Ecological Efficiency in China Using a Panel Smooth Transition Regression Model," Sustainability, MDPI, vol. 15(21), pages 1-18, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15408-:d:1269983
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    References listed on IDEAS

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    1. Fan Liu & Shuling Zhou & Yaliu Yang & Conghu Liu, 2022. "Research on Industrial Ecological Efficiency Evaluation and Improvement Countermeasures Based on Data-Driven Evaluations from 30 Provinces and Cities in China," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
    2. Darnall, Nicole & Henriques, Irene & Sadorsky, Perry, 2008. "Do environmental management systems improve business performance in an international setting?," Journal of International Management, Elsevier, vol. 14(4), pages 364-376, December.
    3. Oggioni, G. & Riccardi, R. & Toninelli, R., 2011. "Eco-efficiency of the world cement industry: A data envelopment analysis," Energy Policy, Elsevier, vol. 39(5), pages 2842-2854, May.
    4. 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.
    5. Xu, Jin-Jin & Wang, Hai-Jie & Tang, Kai, 2022. "The sustainability of industrial structure on green eco-efficiency in the Yellow River Basin," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 775-788.
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