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Environmental performance indicators of China's coal mining industry: A bootstrapping Malmquist index analysis

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  • Zhang, Lina
  • Gao, Wanting
  • Chiu, Yung-ho
  • Pang, Qinghua
  • Shi, Zhen
  • Guo, Zhiqin

Abstract

This research develops a bootstrapped Malmquist environmental performance indicator for exploring the operating efficiency and variability of productivity estimates in China's coal mining industry, as it is the world's largest coal producer with massive undesirable outputs of degraded mining lands and carbon emissions. Taking these undesirable outputs into account, we set up a new value system, called the coal mining environmental performance indicator (CMEPI), by integrating the DEA-based Malmquist production index with a bootstrap method for the first time. We further investigate the bias-corrected CMEPI estimates and their decompositions in coal provinces during 2012–2017 at the regional, areal, and provincial levels and further reveal the characteristic and dynamic evolution of CMEPI estimates and their decompositions by using the Kernel density estimation. The results are as follows. The bias-corrected CMEPI estimates at the regional level as a whole increased by 5.20% during the period due to inferior technological change effects. Low-yield area with a smaller increase rate of technological change needs to be improved. Thus, decision-makers should urgently enhance efficiency change in places such as Hunan, Chongqing, and Jiangxi. Among the low-yield area, Jiangxi and Hubei must alter their path of technological change. Finally, greater attention should focus on promoting the catch-up effect for better regional synergy development.

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  • Zhang, Lina & Gao, Wanting & Chiu, Yung-ho & Pang, Qinghua & Shi, Zhen & Guo, Zhiqin, 2021. "Environmental performance indicators of China's coal mining industry: A bootstrapping Malmquist index analysis," Resources Policy, Elsevier, vol. 71(C).
    • Handle: RePEc:eee:jrpoli:v:71:y:2021:i:c:s0301420721000088
    DOI: 10.1016/j.resourpol.2021.101991
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    Cited by:

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    2. Cun Zhang & Xiaojie Wang & Shangxin Fang & Xutao Shi, 2022. "Construction and Application of VR-AR Teaching System in Coal-Based Energy Education," Sustainability, MDPI, vol. 14(23), pages 1-14, December.
    3. Yujian Jin & Lihong Yu & Yan Wang, 2022. "Green Total Factor Productivity and Its Saving Effect on the Green Factor in China’s Strategic Minerals Industry from 1998–2017," IJERPH, MDPI, vol. 19(22), pages 1-20, November.
    4. Zhao, Lu-Tao & Liu, Zhao-Ting & Cheng, Lei, 2021. "How will China's coal industry develop in the future? A quantitative analysis with policy implications," Energy, Elsevier, vol. 235(C).
    5. O.A. Chernova, 2021. "Relative Break-Even as a Determinant of the Dynamic Balance of the Russian Coal Industry," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(2), pages 194-216.
    6. Xuefeng Zheng & Xiufan Zhang & Decheng Fan, 2023. "Research on the Coordinated Development of Innovation Ability and Regional Integration in Guangdong–Hong Kong–Macao Greater Bay Area," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    7. Zhang, Rui & Qie, Xiaotong & Hu, Yanyong & Chen, Xue, 2022. "Does de-capacity policy promote the efficient and green development of the coal industry? –Based on the evidence of China," Resources Policy, Elsevier, vol. 77(C).

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