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Analysis of Strategy Selection in Third-Party Governance of Rural Environmental Pollution

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  • Qianwen Wu

    (School of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    Enterprise Management Research Center, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Qiangqiang Wang

    (School of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    Enterprise Management Research Center, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Yongwu Dai

    (School of Economics and Management, Fujian Agriculture and Forestry University, Fuzhou 350002, China
    Enterprise Management Research Center, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

Abstract

In the context of increasingly prominent rural environmental problems, the third-party pollution governance model has become an important initiative for the comprehensive governance of rural environmental problems in China. However, the current third-party governance initiatives continue to suffer from governance failures caused by unclear responsibility sharing and opportunistic behavior. To analyze the reasons behind the behavioral choices of the various stakeholders involved in rural environmental third-party governance and to provide policy insights for formulating more reasonable rural environmental third-party governance solutions, a game model was constructed between local governments and third-party governance institutions. Specifically, the model examined the different evolutionary game strategies that appear between local governments and third-party governance institutions in different institutional design contexts when responsibility disputes arise in third-party governance. These disputes involve the re-governing of pollution control responsibility, which can be borne either by the local governments or the party causing the damage. The results shown are as follows: It is crucial to define the boundaries of re-governance responsibility in the third-party governance of rural environmental pollution. When local governments bear the primary responsibility for governance, regardless of whether they provide regulatory oversight, third-party governance institutions tend to adopt a passive approach. In such cases, the third-party governance market fails to effectively fulfill its role in governance. By reconstructing the third-party governance market model and dividing the main responsibility for pollution governance among the damaging parties, it is possible to achieve active governance by third-party governance institutions without the need for regulation by local governments.

Suggested Citation

  • Qianwen Wu & Qiangqiang Wang & Yongwu Dai, 2023. "Analysis of Strategy Selection in Third-Party Governance of Rural Environmental Pollution," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8746-:d:1158499
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    References listed on IDEAS

    as
    1. Levine, David K. & Pesendorfer, Wolfgang, 2007. "The evolution of cooperation through imitation," Games and Economic Behavior, Elsevier, vol. 58(2), pages 293-315, February.
    2. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
    3. Ritzberger, Klaus & Weibull, Jorgen W, 1995. "Evolutionary Selection in Normal-Form Games," Econometrica, Econometric Society, vol. 63(6), pages 1371-1399, November.
    4. Qiao Peng & Yao Xiao, 2020. "Will Third-Party Treatment Effectively Solve Issues Related to Industrial Pollution in China?," Sustainability, MDPI, vol. 12(18), pages 1-15, September.
    5. Carlos Alós-Ferrer & Ana Ania, 2005. "The evolutionary stability of perfectly competitive behavior," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 26(3), pages 497-516, October.
    6. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    7. Zenglian Zhang & Wenju Zhao, 2018. "Research on Financial Pressure, Poverty Governance, and Environmental Pollution in China," Sustainability, MDPI, vol. 10(6), pages 1-24, June.
    8. Yingxin Chen & Jing Zhang & Pandu R. Tadikamalla & Xutong Gao, 2019. "The Relationship among Government, Enterprise, and Public in Environmental Governance from the Perspective of Multi-Player Evolutionary Game," IJERPH, MDPI, vol. 16(18), pages 1-17, September.
    9. Slavíková, Lenka & Kluvánková-Oravská, Tatiana & Jílková, Jirina, 2010. "Bridging theories on environmental governance: Insights from free-market approaches and institutional ecological economics perspectives," Ecological Economics, Elsevier, vol. 69(7), pages 1368-1372, May.
    10. Li, Huiquan & Guo, Genlong, 2019. "A differential game analysis of multipollutant transboundary pollution in river basin," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    11. Vatn, Arild, 2018. "Environmental Governance – From Public to Private?," Ecological Economics, Elsevier, vol. 148(C), pages 170-177.
    12. Pargal, Sheoli & Wheeler, David, 1996. "Informal Regulation of Industrial Pollution in Developing Countries: Evidence from Indonesia," Journal of Political Economy, University of Chicago Press, vol. 104(6), pages 1314-1327, December.
    13. Laura Raynolds & Douglas Murray & Andrew Heller, 2007. "Regulating sustainability in the coffee sector: A comparative analysis of third-party environmental and social certification initiatives," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 24(2), pages 147-163, June.
    14. Caihua Zhou & Hualin Xie & Xinmin Zhang, 2019. "Does Fiscal Policy Promote Third-Party Environmental Pollution Control in China? An Evolutionary Game Theoretical Approach," Sustainability, MDPI, vol. 11(16), pages 1-18, August.
    15. van der Kamp, Denise & Lorentzen, Peter & Mattingly, Daniel, 2017. "Racing to the Bottom or to the Top? Decentralization, Revenue Pressures, and Governance Reform in China," World Development, Elsevier, vol. 95(C), pages 164-176.
    16. Yigang Zhang & Xiaoyan Guo, 2023. "The Dilemma and Path of Rural Environmental Governance in China: From the Perspective of a Community with a Shared Future," IJERPH, MDPI, vol. 20(2), pages 1-12, January.
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