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The Evolutionary Game Analysis of Multiple Stakeholders in the Low-Carbon Agricultural Innovation Diffusion

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  • Lixia Liu
  • Yuchao Zhu
  • Shubing Guo

Abstract

Encouraging the adoption and diffusion of low-carbon agricultural technology innovation is an important measure to cope with climate change, reduce environmental pollution, and achieve sustainable agricultural development. Based on evolutionary game theory, this paper establishes a game model among agricultural enterprises, government, and farmers and analyzes the dynamic evolutionary process and evolutionary stable strategies of the major stakeholders. The impact of innovation subsidies, carbon taxes, and adoption subsidies on low-carbon agricultural innovation diffusion is simulated using Matlab software. The results show that the government’s reasonable subsidies and carbon taxes for agricultural enterprises and farmers can increase the enthusiasm of agricultural enterprises and farmers to participate in low-carbon agriculture. This study can be used as a basis for the government to formulate more targeted policies to promote the diffusion of low-carbon agricultural innovation.

Suggested Citation

  • Lixia Liu & Yuchao Zhu & Shubing Guo, 2020. "The Evolutionary Game Analysis of Multiple Stakeholders in the Low-Carbon Agricultural Innovation Diffusion," Complexity, Hindawi, vol. 2020, pages 1-12, February.
    • Handle: RePEc:hin:complx:6309545
    DOI: 10.1155/2020/6309545
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    Cited by:

    1. Tan, Yiheng & Huang, Xiying & Li, Wei, 2023. "Does blockchain-based traceability system guarantee information authenticity? An evolutionary game approach," International Journal of Production Economics, Elsevier, vol. 264(C).
    2. Yayan Xie & Yang Su & Feng Li, 2022. "The Evolutionary Game Analysis of Low Carbon Production Behaviour of Farmers, Government and Consumers in Food Safety Source Governance," IJERPH, MDPI, vol. 19(19), pages 1-16, September.
    3. Zhi-Hua Hu & Shu-Wen Wang, 2022. "An Evolutionary Game Model Between Governments and Manufacturers Considering Carbon Taxes, Subsidies, and Consumers’ Low-Carbon Preference," Dynamic Games and Applications, Springer, vol. 12(2), pages 513-551, June.
    4. Jiali Wang & Xue Peng & Yunan Du & Fulin Wang, 2022. "A tripartite evolutionary game research on information sharing of the subjects of agricultural product supply chain with a farmer cooperative as the core enterprise," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(1), pages 159-177, January.
    5. Li, Fangyi & Cao, Xin & Ou, Rui, 2021. "A network-based evolutionary analysis of the diffusion of cleaner energy substitution in enterprises: The roles of PEST factors," Energy Policy, Elsevier, vol. 156(C).
    6. Hu, Min & Chen, Wei, 2024. "Collective-risk social dilemma on the risk-driven dynamic networks," Chaos, Solitons & Fractals, Elsevier, vol. 184(C).

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