IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i17p8064-d1744289.html
   My bibliography  Save this article

Collaborative Mechanism of Soil and Water Ecological Governance Under Public–Private Partnership Model Considering Carbon Trading

Author

Listed:
  • Junhua Zhang

    (College of Surveying and Geo-Information, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Xiaodan Yun

    (School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Yaohong Yang

    (School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Ran Jing

    (School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China)

  • Wenchao Jin

    (Construction Administration Bureau of the Xixiayuan Water Control Complex Water Conveyance and Irrigation Project, Zhengzhou 450000, China)

Abstract

In the current soil erosion control efforts, the lack of collaboration among multiple stakeholders is a major problem that restricts governance performance. Based on carbon trading and the Public–Private Partnership model, this paper constructs a tripartite differential game model involving the government, enterprises, and farmers, focusing on the government subsidy and the enterprise–farmer benefit-sharing mechanism. It systematically analyzes the dynamic evolution process of multi-stakeholder collaborative governance behavior under the collaborative mechanism. Through numerical simulation, the impacts of key variables such as benefit-sharing ratio, synergy effect of measures, and unit carbon sequestration on the optimization of enterprise governance measures, effort level, government fiscal expenditure, and tripartite benefits were analyzed. The results indicate that (1) the benefit-sharing ratio has a significant bidirectional regulatory effect on the system, with both excessively high and excessively low ratios weakening the collaborative governance effect; (2) the synergistic effect between governance measures significantly enhances the enthusiasm of enterprise governance and promotes the allocation of resources towards measure with better carbon sequestration benefits; and (3) the unit carbon sequestration significantly affects governance structure and government subsidy strategies, with the government being more sensitive to carbon sink responses of afforestation measures. The research results provide a theoretical basis for optimizing the ecological governance system under the “dual carbon” goal and also provide policy references for promoting the transformation of governance model from “government-led” to “multi-stakeholder collaboration”.

Suggested Citation

  • Junhua Zhang & Xiaodan Yun & Yaohong Yang & Ran Jing & Wenchao Jin, 2025. "Collaborative Mechanism of Soil and Water Ecological Governance Under Public–Private Partnership Model Considering Carbon Trading," Sustainability, MDPI, vol. 17(17), pages 1-31, September.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:17:p:8064-:d:1744289
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/17/8064/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/17/8064/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Prager, Katrin & Schuler, Johannes & Helming, Katharina & Zander, Peter & Ratinger, Tomas & Hagedorn, Konrad, 2011. "An analytical framework for soil degradation, farming practices, institutions and policy responses," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114773, European Association of Agricultural Economists.
    2. Rui Sun & Dayi He & Jingjing Yan & Li Tao, 2021. "Mechanism Analysis of Applying Blockchain Technology to Forestry Carbon Sink Projects Based on the Differential Game Model," Sustainability, MDPI, vol. 13(21), pages 1-18, October.
    3. Yaohong Yang & Ying Liu & Jing Dai & Yi Zeng & Jun Peng, 2022. "Cost-Sharing Mechanism of Water Pollution Control in Main and Subbasins Based on Stackelberg Game Model," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-14, June.
    4. Zhang, Ren-Jie & Tai, Hsing-Wei & Cao, Zheng-Xu & Cheng, Kuo-Tai & Wei, Chia-Chen, 2025. "Innovation ecosystem based on low-carbon technology: Value co-creation mechanism and differential game analysis," Technological Forecasting and Social Change, Elsevier, vol. 210(C).
    5. Tong Yang & Ruyin Long & Wenbo Li & Saif UR Rehman, 2016. "Innovative Application of the Public–Private Partnership Model to the Electric Vehicle Charging Infrastructure in China," Sustainability, MDPI, vol. 8(8), pages 1-18, August.
    6. Dockner,Engelbert J. & Jorgensen,Steffen & Long,Ngo Van & Sorger,Gerhard, 2000. "Differential Games in Economics and Management Science," Cambridge Books, Cambridge University Press, number 9780521637329, November.
    7. Yongxi Yi & Zhongjun Wei & Chunyan Fu, 2020. "A Differential Game of Transboundary Pollution Control and Ecological Compensation in a River Basin," Complexity, Hindawi, vol. 2020, pages 1-13, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Masahiko Hattori & Yasuhito Tanaka, 2019. "General analysis of dynamic oligopoly with sticky price," Economics Bulletin, AccessEcon, vol. 39(4), pages 2990-2998.
    2. Régis Chenavaz & Corina Paraschiv & Gabriel Turinici, 2017. "Dynamic Pricing of New Products in Competitive Markets: A Mean-Field Game Approach," Working Papers hal-01592958, HAL.
    3. Reinhard Neck & Dmitri Blueschke, 2014. "“Haircuts” for the EMU periphery: virtue or vice?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(2), pages 153-175, May.
    4. A. J. Novak & G. Feichtinger & G. Leitmann, 2010. "A Differential Game Related to Terrorism: Nash and Stackelberg Strategies," Journal of Optimization Theory and Applications, Springer, vol. 144(3), pages 533-555, March.
    5. Gerhard Sorger, 2005. "A dynamic common property resource problem with amenity value and extraction costs," International Journal of Economic Theory, The International Society for Economic Theory, vol. 1(1), pages 3-19, March.
    6. Denis Claude & Charles Figuières & Mabel Tidball, 2008. "Short-run stick and long-run carrot policy: the role of initial conditions," Working Papers 08-04, LAMETA, Universtiy of Montpellier, revised Feb 2008.
    7. Stergios Athanassoglou & Glenn Sheriff & Tobias Siegfried & Woonghee Huh, 2012. "Optimal Mechanisms for Heterogeneous Multi-Cell Aquifers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 52(2), pages 265-291, June.
    8. S. Luckraz, 2008. "Process Spillovers and Growth," Journal of Optimization Theory and Applications, Springer, vol. 139(2), pages 315-335, November.
    9. Mukherjee, Arka & Chauhan, Satyaveer S., 2021. "The impact of product recall on advertising decisions and firm profit while envisioning crisis or being hazard myopic," European Journal of Operational Research, Elsevier, vol. 288(3), pages 953-970.
    10. Laussel, Didier & Resende, Joana, 2014. "Dynamic price competition in aftermarkets with network effects," Journal of Mathematical Economics, Elsevier, vol. 50(C), pages 106-118.
    11. Hassan Benchekroun & Farnaz Taherkhani, 2014. "Adaptation and the Allocation of Pollution Reduction Costs," Dynamic Games and Applications, Springer, vol. 4(1), pages 32-57, March.
    12. Francesco Caruso & Maria Carmela Ceparano & Jacqueline Morgan, 2017. "Uniqueness of Nash Equilibrium in Continuous Weighted Potential Games," CSEF Working Papers 471, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, revised 18 Jun 2017.
    13. Niko Jaakkola & Florian Wagener, 2020. "All symmetric equilibria in differential games with public goods," Tinbergen Institute Discussion Papers 20-020/II, Tinbergen Institute.
    14. Javier Frutos & Guiomar Martín-Herrán, 2018. "Selection of a Markov Perfect Nash Equilibrium in a Class of Differential Games," Dynamic Games and Applications, Springer, vol. 8(3), pages 620-636, September.
    15. João Faria & Rajeev Goel, 2010. "Returns to networking in academia," Netnomics, Springer, vol. 11(2), pages 103-117, July.
    16. Johnson Kakeu & Gérard Gaudet, 2011. "The Quest for Hegemony Among Countries and Global Pollution," Dynamic Games and Applications, Springer, vol. 1(4), pages 498-513, December.
    17. Nair, Anand & Narasimhan, Ram, 2006. "Dynamics of competing with quality- and advertising-based goodwill," European Journal of Operational Research, Elsevier, vol. 175(1), pages 462-474, November.
    18. Arka Mukherjee & Subhadip Ghosh, 2025. "Greenwashing Risks in Environmental Quality Competition: Detection and Deterrence," Games, MDPI, vol. 16(2), pages 1-17, March.
    19. Colombo, Luca & Labrecciosa, Paola & Rusinowska, Agnieszka, 2025. "A dynamic analysis of criminal networks," Journal of Economic Theory, Elsevier, vol. 223(C).
    20. Pineau, Pierre-Olivier & Rasata, Hasina & Zaccour, Georges, 2011. "Impact of some parameters on investments in oligopolistic electricity markets," European Journal of Operational Research, Elsevier, vol. 213(1), pages 180-195, August.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:17:p:8064-:d:1744289. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.