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Spatial–temporal evolution and regional difference decomposition of urban environmental governance efficiency in China

Author

Listed:
  • Geng Peng

    (Jiangsu University of Technology)

  • Xiaodan Zhang

    (Tianjin University of Finance and Economics)

  • Fang Liu

    (Jiangsu University of Technology)

  • Lijuan Ruan

    (Changzhou University)

  • Kaiyou Tian

    (Changzhou University)

Abstract

The three-stage DEA method and super-SBM are combined to measure the urban environmental governance efficiency of 30 provinces in China from 2004 to 2016. Then, ArcGIS software is used to illustrate the spatial–temporal evolution of urban environmental governance efficiency, and DagumGiniratio is calculated to show the regional difference. The results indicate that the provinces characterized by high or low environmental governance efficiency are shown to cluster in space over time, and the spatial dependence of the environmental governance behavior of government is the greatest source of the regional difference of urban environmental governance efficiency. Our findings imply that the environmental governance behavior of government is spatial dependent, which highlights that the policies for improve environmental governance efficiency should be made globally.

Suggested Citation

  • Geng Peng & Xiaodan Zhang & Fang Liu & Lijuan Ruan & Kaiyou Tian, 2021. "Spatial–temporal evolution and regional difference decomposition of urban environmental governance efficiency in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 8974-8990, June.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:6:d:10.1007_s10668-020-01007-2
    DOI: 10.1007/s10668-020-01007-2
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    Cited by:

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    2. Youshuai Sun & Demi Zhu & Zhenyu Zhang & Na Yan, 2022. "Does Fiscal Stress Improve the Environmental Efficiency? Perspective Based on the Urban Horizontal Fiscal Imbalance," IJERPH, MDPI, vol. 19(10), pages 1-23, May.
    3. Ning Zhang & Zichen Wang & Hongkai Ru & Haiyang Li, 2021. "Study on the Spatio–Temporal Evolution of China’s Smart Water Co-Governance in G–E–P Mode," IJERPH, MDPI, vol. 18(23), pages 1-25, November.
    4. Li Yang & Yung‐ho Chiu & Tzu‐Han Chang, 2023. "The impact of quality of life on industrial and agricultural production and environmental efficiency in China's provinces," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 1054-1072, March.
    5. Chen, Zhenni & Zhang, Zengkai & Feng, Tong & Liu, Diyi, 2023. "What drives the temporal dynamics and spatial differences of urban and rural household emissions in China?," Energy Economics, Elsevier, vol. 125(C).

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