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Multi-directional efficiency analysis-based regional industrial environmental performance evaluation of China

Author

Listed:
  • Ke Wang
  • Shiwei Yu
  • Mo-Jie Li
  • Yi-Ming Wei

Abstract

This study evaluates the environmental efficiency of industrial sectors of Chinese major cities. The multi-directional efficiency analysis (MEA) approach is utilized for evaluation; thus, both the integrated MEA efficiency levels and the efficiency patterns, which are represented by the variable-specific MEA efficiency according to each type of the industrial pollutant emission or discharge, of Chinese major city are detected. In addition, the industrial energy conservation and pollutant reduction potentials are measured, and the relationship between environmental pressure and income is explored at the regional level of China. The main findings include the following: (1) The MEA environmental efficiency increases in the economically less developed cities were faster than the cities in the well-developed region, which indicates that the inequitable nationwide industrial developments of Chinese cities have started to alleviate. (2) Although some Chinese cities show similar environmental efficiency levels, the undesirable output variable-specific efficiency patterns of these cities are diversified, and according to the variable-specific efficiency, the most possible efficiency increase potential of each Chinese major city can be identified. (3) An N-shaped environmental Kuznets curve exists in the industrial sectors of Chinese major cities. (4) Different Chinese cities should have different industrial pollutant reduction priorities: East China cities should pay more attention to their industrial waste gas emissions and industrial waste water discharges, while west China cities should mainly focus on their industrial soot and dust emissions, and solid waste discharges. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Ke Wang & Shiwei Yu & Mo-Jie Li & Yi-Ming Wei, 2015. "Multi-directional efficiency analysis-based regional industrial environmental performance evaluation of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 273-299, February.
  • Handle: RePEc:spr:nathaz:v:75:y:2015:i:2:p:273-299
    DOI: 10.1007/s11069-014-1097-4
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    Cited by:

    1. Qianwen Li & Ruyin Long & Hong Chen & Feiyu Chen & Xiu Cheng, 2019. "Chinese urban resident willingness to pay for green housing based on double-entry mental accounting theory," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 129-153, January.
    2. Jiawei Yang, 2023. "Disentangling the sources of bank inefficiency: a two-stage network multi-directional efficiency analysis approach," Annals of Operations Research, Springer, vol. 326(1), pages 369-410, July.
    3. Jia-Yin Yin & Yun-Fei Cao & Bao-Jun Tang, 2019. "Fairness of China’s provincial energy environment efficiency evaluation: empirical analysis using a three-stage data envelopment analysis model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 343-362, January.
    4. Manevska-Tasevska, Gordana & Hansson, Helena & Asmild, Mette & Surry, Yves, 2021. "Exploring the regional efficiency of the Swedish agricultural sector during the CAP reforms ‒ multi-directional efficiency analysis approach," Land Use Policy, Elsevier, vol. 100(C).
    5. Zhu, Ning & Wu, Yanrui & Wang, Bing & Yu, Zhiqian, 2019. "Risk preference and efficiency in Chinese banking," China Economic Review, Elsevier, vol. 53(C), pages 324-341.

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    More about this item

    Keywords

    Environmental performance; Industrial sector; Pollutant reduction potential; Multi-directional efficiency analysis (MEA);
    All these keywords.

    JEL classification:

    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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