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  11. Evolutionary Game Analysis Of Multi-agent Cooperation Strategy Analysis In Agricultural Water Conservancy Ppp Project Under Digitization Background

Evolutionary game analysis of multi-agent cooperation strategy analysis in agricultural water conservancy PPP project under digitization background

Wei Zhang1, Hui Liu2

  • 1School of Economics, Hunan Agricultural University, Changsha, 410128, China.

Scientific Reports
|October 2, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

Strengthening rewards, punishments, and farmer benefits are key for cooperation in agricultural water conservancy (AWC) Public-Private Partnership (PPP) projects. Digital technology further enhances participation and creates win-win outcomes for all stakeholders.

Area of Science:

  • Agricultural Economics
  • Game Theory
  • Systems Engineering

Background:

  • Agricultural water conservancy (AWC) Public-Private Partnership (PPP) projects face challenges in multi-agent cooperation.
  • Understanding the evolutionary dynamics of participant strategies is crucial for project success.
  • Digital technology's role in optimizing AWC PPP operations requires investigation.

Purpose of the Study:

  • To analyze the conditions for tripartite cooperation in AWC PPP projects using a system dynamics (SD) evolutionary game model.
  • To investigate the impact of various parameters on the evolution strategy of local governments, project enterprises, and farmers.
  • To provide theoretical support and policy recommendations for efficient AWC PPP operations in a digital context.

Main Methods:

  • Construction of a system dynamics (SD) evolutionary game model.
Keywords:
Agricultural water conservancyCooperation strategyDigitizationPPP project

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  • Numerical simulation to analyze the influence of parameters like initial willingness, rewards, punishments, and income.
  • Examination of strategies for local governments, project enterprises, and farmers.

    • Main Results:

    • Cooperation requires strengthened rewards and punishments for project enterprises and improved farmer participation benefits.
    • Increased farmer rewards and project dividend benefits effectively motivate farmer participation.
    • Incentive subsidies, reputation benefits, and government supervision significantly boost project enterprise motivation, with optimal reward levels being crucial.
    • Digital technology reduces participation costs and enhances reputation benefits, fostering a win-win situation.

    Conclusions:

    • Optimizing incentive structures and supervision mechanisms is vital for tripartite cooperation in AWC PPPs.
    • Digital technology integration offers substantial benefits, reducing costs and improving outcomes for all participants.
    • Findings provide a decision-making basis for efficient AWC PPP operations and policy recommendations for high-quality development.
    SD evolutionary game