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Multilevel Governments’ Decision-Making Process and Its Influencing Factors in Watershed Ecological Compensation

Author

Listed:
  • Xin Gao

    (Business School, Hohai University, Nanjing 211100, China)

  • Juqin Shen

    (Business School, Hohai University, Nanjing 211100, China)

  • Weijun He

    (College of Economics & Management, China Three Gorges University, Yichang 443002, China)

  • Fuhua Sun

    (Business School, Hohai University, Nanjing 211100, China)

  • Zhaofang Zhang

    (Business School, Hohai University, Nanjing 211100, China)

  • Xin Zhang

    (International Economic &Technical Cooperation and Exchange Center, Ministry of Water Resources, Beijing 100038, China)

  • Liang Yuan

    (College of Economics & Management, China Three Gorges University, Yichang 443002, China)

  • Min An

    (College of Economics & Management, China Three Gorges University, Yichang 443002, China)

Abstract

Transboundary water pollution is a long-standing problem in China, although the Chinese government has been committed to the protection of water resources. Due to the different interests of multilevel governments and the regionalization of management, there is still no unified plan to solve the transboundary water pollution in China. Watershed ecological compensation as a holistic plan to deal with transboundary water pollution is being promoted currently. Taking the South-to-North Water Transfer Project’ eastern route as an example, this paper firstly analyses stakeholders’ strategies and establishes a tripartite game model based on evolutionary game theory. Secondly, by introducing Cobb Douglas production function creatively, the supervision level of the central government is refined into supervisory attitude and supervisory skills. Thirdly, the numerical simulation is used to analyze the sensitivity of influencing factors. The results show that: (1) whether the central government supervises the local governments mainly depends on the benefits of water environment improvement and supervision costs; (2) the initial negotiation plan of the stakeholders has a significant impact on their optimum strategies; (3) the fines imposed by the central government on the local governments have a small impact on the stable state of the system; (4) the higher the eco-compensation fee, the lower their likelihood of cooperation; (5) the central government’s supervisory attitude and supervisory skills have significant effect on the sustainability of the optimum arrangement, even when willingness of upstream and downstream governments to cooperate is low; (6) the initial ecological benefits of downstream governments have no effect on the optimum strategy. Therefore, considering these insights is helpful to improve the watershed ecological compensation mechanism in order to solve transboundary water pollution and achieve the sustainability of water resources.

Suggested Citation

  • Xin Gao & Juqin Shen & Weijun He & Fuhua Sun & Zhaofang Zhang & Xin Zhang & Liang Yuan & Min An, 2019. "Multilevel Governments’ Decision-Making Process and Its Influencing Factors in Watershed Ecological Compensation," Sustainability, MDPI, vol. 11(7), pages 1-28, April.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:7:p:1990-:d:219708
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    as
    1. Engel, Stefanie & Pagiola, Stefano & Wunder, Sven, 2008. "Designing payments for environmental services in theory and practice: An overview of the issues," Ecological Economics, Elsevier, vol. 65(4), pages 663-674, May.
    2. Bomze Immanuel M. & Weibull Jorgen W., 1995. "Does Neutral Stability Imply Lyapunov Stability?," Games and Economic Behavior, Elsevier, vol. 11(2), pages 173-192, November.
    3. Kai Xiong & Fanbin Kong & Ning Zhang & Ni Lei & Chuanwang Sun, 2018. "Analysis of the Factors Influencing Willingness to Pay and Payout Level for Ecological Environment Improvement of the Ganjiang River Basin," Sustainability, MDPI, vol. 10(7), pages 1-17, June.
    4. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
    5. Ritzberger, Klaus & Weibull, Jorgen W, 1995. "Evolutionary Selection in Normal-Form Games," Econometrica, Econometric Society, vol. 63(6), pages 1371-1399, November.
    6. Zhao, Laijun & Li, Changmin & Huang, Rongbing & Si, Steven & Xue, Jian & Huang, Wei & Hu, Yue, 2013. "Harmonizing model with transfer tax on water pollution across regional boundaries in a China’s lake basin," European Journal of Operational Research, Elsevier, vol. 225(2), pages 377-382.
    7. Xie, Hualin & Wang, Wei & Zhang, Xinmin, 2018. "Evolutionary game and simulation of management strategies of fallow cultivated land: A case study in Hunan province, China," Land Use Policy, Elsevier, vol. 71(C), pages 86-97.
    8. Hongbin Li & Li-An Zhou, 2003. "Political Turnover and Economic Performance: The Disciplinary Role of Personnel Control in China," Discussion Papers 00002, Chinese University of Hong Kong, Department of Economics.
    9. Christian Schmidt, 2004. "Are evolutionary games another way of thinking about game theory?," Journal of Evolutionary Economics, Springer, vol. 14(2), pages 249-262, June.
    10. Silva, Emilson C. D. & Caplan, Arthur J., 1997. "Transboundary Pollution Control in Federal Systems," Journal of Environmental Economics and Management, Elsevier, vol. 34(2), pages 173-186, October.
    11. Sun, Xiang & Xiong, Shu & Zhu, Xiaojing & Zhu, Xiaodong & Li, Yangfan & Li, B. Larry, 2015. "A new indices system for evaluating ecological-economic-social performances of wetland restorations and its application to Taihu Lake Basin, China," Ecological Modelling, Elsevier, vol. 295(C), pages 216-226.
    12. Dagmawi Mulugeta Degefu & Weijun He & Liang Yuan & Jian Hua Zhao, 2016. "Water Allocation in Transboundary River Basins under Water Scarcity: a Cooperative Bargaining Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4451-4466, September.
    13. Kaniovski Yuri M. & Young H. Peyton, 1995. "Learning Dynamics in Games with Stochastic Perturbations," Games and Economic Behavior, Elsevier, vol. 11(2), pages 330-363, November.
    14. Zhang, Chao & Anadon, Laura Diaz, 2014. "A multi-regional input–output analysis of domestic virtual water trade and provincial water footprint in China," Ecological Economics, Elsevier, vol. 100(C), pages 159-172.
    15. Sheng, Jichuan & Webber, Michael, 2017. "Incentive-compatible payments for watershed services along the Eastern Route of China’s South-North Water Transfer Project," Ecosystem Services, Elsevier, vol. 25(C), pages 213-226.
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