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Sustainable cooperation in the watershed ecological compensation public-private partnership project: Lessons from China's Chishui river basin

Author

Listed:
  • Jiang, Ke
  • Zhang, Jiaming
  • Zhang, Leilei
  • Wang, Die
  • Wang, Yusheng

Abstract

The public-private partnership (PPP) has emerged as a promising financing approach to effectively alleviate the financial burden on governments involved in watershed ecological compensation (WEC) projects. This study specifically focuses on the WECPPP project in China's Chishui River Basin (CSRB) and employs a tripartite evolutionary game model to examine sustainable cooperative behavior among social capital, governmental regulatory entity, and the general public. To ascertain the evolutionary stability strategy (ESS), replicated dynamic equations and equilibrium point stability analysis are then solved. Lastly, a numerical illustration grounded in the WECPPP-CSRB project is utilized as empirical evidence to validate the theoretical findings and substantiate ensuing recognitions: the game model elucidates the presence of eight equilibrium points, while delineating four potential ESSs, each discerned through stakeholder-oriented cost-benefit assessments; stringent government regulations play a pivotal role in coordinating stakeholder interests in the WECPPP-CSRB project, thereby safeguarding both ecological integrity and economic gains; and the optimization of the income distribution mechanism coupled with the augmentation of performance-linked subsidies is acknowledged as imperative measures for ensuring the long-term viability of the WECPPP-CSRB project. The findings thus not only provide a comprehensive analysis of the effective approach and insights into fostering sustainable cooperation among multiple stakeholders in the WECPPP project, but also proffer invaluable recommendations for enhancing incentives, refining regulatory frameworks, and attaining favorable market outcomes.

Suggested Citation

  • Jiang, Ke & Zhang, Jiaming & Zhang, Leilei & Wang, Die & Wang, Yusheng, 2023. "Sustainable cooperation in the watershed ecological compensation public-private partnership project: Lessons from China's Chishui river basin," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    • Handle: RePEc:eee:soceps:v:90:y:2023:i:c:s0038012123002422
    DOI: 10.1016/j.seps.2023.101730
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    References listed on IDEAS

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    1. Zhao, Jianfeng & Liu, Henry J. & Love, Peter E.D. & Greenwood, David J. & Sing, Michael C.P., 2022. "Public-private partnerships: A dynamic discrete choice model for road projects," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    2. Alireza Sharafi & Ata Allah Taleizadeh & Mohsen Sadegh Amalnick, 2018. "Fair Allocation in Financial Disputes Between Public–Private Partnership Stakeholders Using Game Theory," Service Science, INFORMS, vol. 10(1), pages 1-11, March.
    3. Leviäkangas, Pekka & Ojala, Lauri & Töyli, Juuso, 2016. "An integrated ecosystem model for understanding infrastructure PPPs," Utilities Policy, Elsevier, vol. 42(C), pages 10-19.
    4. Nizkorodov, Evgenia, 2021. "Evaluating risk allocation and project impacts of sustainability-oriented water public–private partnerships in Southern California: A comparative case analysis," World Development, Elsevier, vol. 140(C).
    5. Sun, Wenjun & Zhu, Changfeng & Li, Hui, 2022. "Evolutionary game of emergency logistics path selection under bounded rationality," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    6. Krueger, Anne O, 1974. "The Political Economy of the Rent-Seeking Society," American Economic Review, American Economic Association, vol. 64(3), pages 291-303, June.
    7. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    8. Sheng, Jichuan & Han, Xiao, 2022. "Practicing policy mobility of payment for ecosystem services through assemblage and performativity: Lessons from China's Xin'an River Basin Eco-compensation Pilot," Ecological Economics, Elsevier, vol. 191(C).
    9. Jamal Ouenniche & Aristotelis Boukouras & Mohammad Rajabi, 2016. "An Ordinal Game Theory Approach to the Analysis and Selection of Partners in Public–Private Partnership Projects," Journal of Optimization Theory and Applications, Springer, vol. 169(1), pages 314-343, April.
    10. Retallack, Matthew, 2021. "The intersection of economic demand for ecosystem services and public policy: A watershed case study exploring implications for social-ecological resilience," Ecosystem Services, Elsevier, vol. 50(C).
    11. Ferreira, D.C. & Marques, R.C., 2021. "Public-private partnerships in health care services: Do they outperform public hospitals regarding quality and access? Evidence from Portugal," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    12. Acharya, Bikram & Lee, Jongsu & Moon, HyungBin, 2022. "Preference heterogeneity of local government for implementing ICT infrastructure and services through public-private partnership mechanism," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    13. Jorgen W. Weibull, 1997. "Evolutionary Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262731215, December.
    14. Katharina Spraul & Julia Thaler, 2020. "Partnering for good? An analysis of how to achieve sustainability-related outcomes in public–private partnerships," Business Research, Springer;German Academic Association for Business Research, vol. 13(2), pages 485-511, July.
    15. Geddes, R. Richard & Reeves, Eoin, 2017. "The favourability of U.S. PPP enabling legislation and private investment in transportation infrastructure," Utilities Policy, Elsevier, vol. 48(C), pages 157-165.
    16. Surachman, Eko Nur & Perwitasari, Sevi Wening & Suhendra, Maman, 2022. "Stakeholder management mapping to improve public-private partnership success in emerging country water projects: Indonesia’s experience," Utilities Policy, Elsevier, vol. 78(C).
    17. Yongxi Yi & Min Yang & Chunyan Fu, 2021. "Analysis of multiple ecological compensation strategies for transboundary pollution control in a river basin," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(6), pages 1579-1590, September.
    18. Jean-Jacques Laffont & Jean Tirole, 1993. "A Theory of Incentives in Procurement and Regulation," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262121743, December.
    19. Bao, Fengyu & Martek, Igor & Chan, Albert P.C. & Chen, Chuan & Yang, Yang & Yu, Heng, 2023. "Assessing the public-private partnership handover: Experience from China's water sector," Utilities Policy, Elsevier, vol. 80(C).
    20. Bremer, Leah L. & Auerbach, Dan A. & Goldstein, Joshua H. & Vogl, Adrian L. & Shemie, Daniel & Kroeger, Timm & Nelson, Joanna L. & Benítez, Silvia P. & Calvache, Alejandro & Guimarães, João & Herron, , 2016. "One size does not fit all: Natural infrastructure investments within the Latin American Water Funds Partnership," Ecosystem Services, Elsevier, vol. 17(C), pages 217-236.
    21. Ruckelshaus, Mary & McKenzie, Emily & Tallis, Heather & Guerry, Anne & Daily, Gretchen & Kareiva, Peter & Polasky, Stephen & Ricketts, Taylor & Bhagabati, Nirmal & Wood, Spencer A. & Bernhardt, Joanna, 2015. "Notes from the field: Lessons learned from using ecosystem service approaches to inform real-world decisions," Ecological Economics, Elsevier, vol. 115(C), pages 11-21.
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