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Towards Sustainable Development: Investigating the Heterogeneity and Driving Factors of Green Total Factor Productivity in Coal Enterprises

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  • Qing Yang

    (School of Management, Xi’an University of Science and Technology, Xi’an 710054, China
    Energy Economy and Management Research Center, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Jinbo Qiao

    (School of Management, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Shaohui Zou

    (School of Management, Xi’an University of Science and Technology, Xi’an 710054, China
    Energy Economy and Management Research Center, Xi’an University of Science and Technology, Xi’an 710054, China)

  • Delu Wang

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Jiayi Hao

    (School of Management, Xi’an University of Science and Technology, Xi’an 710054, China)

Abstract

Understanding the heterogeneity and driving factors of green total factor productivity (GTFP) in coal enterprises can provide guidance for policy design regarding the sustainable development of coal in the future. In contrast to previous research at the macro level, we adopt and extend the data envelopment analysis method to measure and quantitatively decompose the GTFP of coal enterprises, examine inter-enterprise heterogeneity at multiple levels, explain the effects of the key driving factors and moderating factors of GTFP in theory, and subsequently conduct empirical testing using data obtained from 639 coal enterprises in China. The results indicate that there is significant inter-enterprise heterogeneity in GTFP in terms of enterprise scale, enterprise growth stage, government–enterprise collusion (GEC), and regional differences. The enterprise scale and enterprise growth stage have significantly positive effects on GTFP, while GEC has a significantly negative effect on GTFP. Technological progress, scale efficiency, and pure technical efficiency have moderating effects on enterprise scale, enterprise growth stage, and GEC. The results have valuable policy implications; it is necessary for the government to allocate significant resources towards thoroughly examining the potential effects arising from the heterogeneity of GTFP among coal enterprises, to weaken control over the aggregate target, and to strengthen the use of market-oriented policy instruments.

Suggested Citation

  • Qing Yang & Jinbo Qiao & Shaohui Zou & Delu Wang & Jiayi Hao, 2023. "Towards Sustainable Development: Investigating the Heterogeneity and Driving Factors of Green Total Factor Productivity in Coal Enterprises," Sustainability, MDPI, vol. 15(19), pages 1-18, October.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:19:p:14626-:d:1256076
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    References listed on IDEAS

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    1. Yuxin Fang & Hongjun Cao, 2022. "Environmental Decentralization, Heterogeneous Environmental Regulation, and Green Total Factor Productivity—Evidence from China," Sustainability, MDPI, vol. 14(18), pages 1-20, September.
    2. Quanqi Liu & Li Li, 2019. "Spatial Heterogeneity of Government Regulation, Spatial Distance and Enterprise Carbon Information Disclosure: An Analysis Based on the Heavy Pollution Industry in China," IJERPH, MDPI, vol. 16(23), pages 1-15, November.
    3. Cuixia Gao & Ying Zhong & Isaac Adjei Mensah & Simin Tao & Yuyang He, 2022. "Spatio-Temporal Impact of Global Migration on Carbon Transfers Based on Complex Network and Stepwise Regression Analysis," Sustainability, MDPI, vol. 14(2), pages 1-19, January.
    4. Biswaranjita Mahapatra & Chandan Bhar & Sandeep Mondal, 2020. "Performance Assessment Based on the Relative Efficiency of Indian Opencast Coal Mines Using Data Envelopment Analysis and Malmquist Productivity Index," Energies, MDPI, vol. 13(18), pages 1-21, September.
    5. Xu, Hangtian & Nakajima, Kentaro, 2016. "Did China's coal mine regulation positively affect economic growth?," Resources Policy, Elsevier, vol. 50(C), pages 160-168.
    6. Ming Zhang & Wensheng Wang & Xialing Sun, 2023. "Measurement and Multiple Decomposition of Total Factor Productivity Growth in China’s Coal Industry," Sustainability, MDPI, vol. 15(3), pages 1-19, January.
    7. Zhu, Xuehong & Chen, Ying & Feng, Chao, 2018. "Green total factor productivity of China's mining and quarrying industry: A global data envelopment analysis," Resources Policy, Elsevier, vol. 57(C), pages 1-9.
    8. Pu, Xiaohong & Zeng, Ming & Zhang, Weike, 2023. "Corporate sustainable development driven by high-quality innovation: Does fiscal decentralization really matter?," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 273-289.
    9. Yufang Shi & Tianlun Zhang & Yufeng Jiang, 2023. "Digital Economy, Technological Innovation and Urban Resilience," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
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