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Study on Regional Differences and Convergence of Green Development Efficiency of the Chemical Industry in the Yangtze River Economic Belt Based on Grey Water Footprint

Author

Listed:
  • Yunbo Xiang

    (School of Architecture and Art Design, Hunan University of Science and Technology, Xiangtan 411201, China)

  • Wen Shao

    (School of Architecture and Art Design, Hunan University of Science and Technology, Xiangtan 411201, China)

  • Shengyun Wang

    (Research Center for Economic and Social Development in Central China of Nanchang University, Nanchang University, Nanchang 330031, China)

  • Yong Zhang

    (School of Architecture and Art Design, Hunan University of Science and Technology, Xiangtan 411201, China)

  • Yaxin Zhang

    (Research Center for Economic and Social Development in Central China of Nanchang University, Nanchang University, Nanchang 330031, China)

Abstract

Grey water footprint is included in the green development efficiency evaluation index system of the chemical industry. From 2002 to 2016, the super efficiency Slack Based Measure (SBM) model was used to measure the green development efficiency of the chemical industry in the Yangtze River Economic Belt. Dagum Gini coefficient and its decomposition method were used to decompose the regional differences of green development efficiency of the chemical industry in the Economic Belt, and the coefficient of variation method and panel data regression model were used to test the convergence characteristics. The following results were obtained. (1) The total grey water footprint of the chemical industry in the Yangtze River Economic Belt showed a fluctuating downward trend from 2002 to 2016. (2) The green development efficiency of the chemical industry in the Yangtze River Economic Belt was significantly improved, and the spatial differentiation law of gradient decline in the upper, middle, and lower reaches of the Economic Belt was shown. (3) The regional difference of green development efficiency of the chemical industry in the Yangtze River Economic Belt initially showed an expanding trend and then a narrowing trend. Regional differences in the upper reaches of the Yangtze River increased while those in the middle reaches first increased and then decreased, whereas those in the lower reaches decreased significantly. The variance in green development efficiency of the chemical industry is the main cause of regional differences. (4) From 2012 to 2016, the Yangtze River Economic Belt had obvious convergence in its whole region, middle reaches, and lower reaches and an inconspicuous convergence in the upstream area. Regional difference of green development efficiency of the chemical industry in the Economic Belt was the combined effect of the results of environmental regulation, industrial structure, foreign investment intensity, and scientific and technological advancements. Our results have high theoretical reference values and practical guiding significance for implementing the green efficiency promotion strategy of the chemical industry in Yangtze River Economic Belt by region and classification.

Suggested Citation

  • Yunbo Xiang & Wen Shao & Shengyun Wang & Yong Zhang & Yaxin Zhang, 2022. "Study on Regional Differences and Convergence of Green Development Efficiency of the Chemical Industry in the Yangtze River Economic Belt Based on Grey Water Footprint," IJERPH, MDPI, vol. 19(3), pages 1-19, February.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:3:p:1703-:d:740657
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    References listed on IDEAS

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    1. Jari Lyytimäki & Riina Antikainen & Joonas Hokkanen & Sirkka Koskela & Sirpa Kurppa & Riina Känkänen & Jyri Seppälä, 2018. "Developing Key Indicators of Green Growth," Sustainable Development, John Wiley & Sons, Ltd., vol. 26(1), pages 51-64, January.
    2. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    3. Pittman, Russell W, 1983. "Multilateral Productivity Comparisons with Undesirable Outputs," Economic Journal, Royal Economic Society, vol. 93(372), pages 883-891, December.
    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. Manello, Alessandro, 2017. "Productivity growth, environmental regulation and win–win opportunities: The case of chemical industry in Italy and Germany," European Journal of Operational Research, Elsevier, vol. 262(2), pages 733-743.
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    Cited by:

    1. Ziheng Feng & Liying Sun, 2024. "Water Conservation Implications Based on Tempo-Spatial Characteristics of Water Footprint in the Water-Receiving Areas of the South-to-North Water Diversion Project, China," Sustainability, MDPI, vol. 16(3), pages 1-18, February.
    2. Qiangsheng Mai & Mengting Bai & Le Li, 2022. "Study on the Dynamic Evolution and Regional Differences of the Level of High-Quality Economic and Social Development in China," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
    3. Rui Zhang & Yong Ma & Jie Ren, 2022. "Green Development Performance Evaluation Based on Dual Perspectives of Level and Efficiency: A Case Study of the Yangtze River Economic Belt, China," IJERPH, MDPI, vol. 19(15), pages 1-24, July.
    4. Shengyun Wang & Liancheng Duan & Shuwen Jiang, 2022. "Research on Spatial Differences and Driving Effects of Ecological Well-Being Performance in China," IJERPH, MDPI, vol. 19(15), pages 1-20, July.

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