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The government's subsidy strategy of carbon-sink fishery based on evolutionary game

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  • Zheng, Shan
  • Yu, Lianghong

Abstract

It is necessary to give ecological compensation to promote carbon-sink fishery better serve the carbon neutrality goal. This paper constructs a three-party evolutionary game model of fishermen, consumers and the government, analyzes the influence of each subject's behavior probability on the strategies of other subjects and the stability of the system. Then we simulate the effects of government subsidy on the evolutionary outcomes based on field survey data. The results are as follows. (1) Government subsidies can produce a dual incentive effect from the production side and the consumption side. The probability of government subsidies positively affects both fishermen's carbon-sink fisheries farming behavior and consumers' decision to purchase carbon-sink fishery products. (2) Under certain conditions, the game system can achieve a steady state, in this case, Fishermen will spontaneously engage in farming marine carbon-sink fishery, consumers will spontaneously purchase carbon-sink fishery products, and the government provides subsidies to fishermen and consumers. (3) The amount of government subsidies has a negative impact on the stability of the evolutionary game system, the government subsidies for fishermen has a positive impact on the stability of the evolutionary game system, and the government subsidies for consumers has a negative impact on the stability of the evolutionary game system.

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  • Zheng, Shan & Yu, Lianghong, 2022. "The government's subsidy strategy of carbon-sink fishery based on evolutionary game," Energy, Elsevier, vol. 254(PB).
    • Handle: RePEc:eee:energy:v:254:y:2022:i:pb:s0360544222011859
    DOI: 10.1016/j.energy.2022.124282
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    as
    1. Fathi, Fatemeh & Bakhshoodeh, Mohammad, 2021. "Economic and environmental strategies against targeting energy subsidy in Iranian meat market: A game theory approach," Energy Policy, Elsevier, vol. 150(C).
    2. Sibande, Lonester & Bailey, Alastair & Davidova, Sophia, 2017. "The impact of farm input subsidies on maize marketing in Malawi," Food Policy, Elsevier, vol. 69(C), pages 190-206.
    3. Fan, Ruguo & Dong, Lili, 2018. "The dynamic analysis and simulation of government subsidy strategies in low-carbon diffusion considering the behavior of heterogeneous agents," Energy Policy, Elsevier, vol. 117(C), pages 252-262.
    4. Li, Junqiang & Ren, Hao & Wang, Mingyue, 2021. "How to escape the dilemma of charging infrastructure construction? A multi-sectorial stochastic evolutionary game model," Energy, Elsevier, vol. 231(C).
    5. Olszewski, Robert & Pałka, Piotr & Wendland, Agnieszka & Majdzińska, Karolina, 2021. "Application of cooperative game theory in a spatial context: An example of the application of the community-led local development instrument for the decision support system of biogas plants constructi," Land Use Policy, Elsevier, vol. 108(C).
    6. Machado, Fábio Luiz Vargas & Halmenschlager, Vinícius & Abdallah, Patrízia Raggi & Teixeira, Gibran da Silva & Sumaila, Ussif Rashid, 2021. "The relation between fishing subsidies and CO2 emissions in the fisheries sector," Ecological Economics, Elsevier, vol. 185(C).
    7. Rehdanz, Katrin & Tol, Richard S.J. & Wetzel, Patrick, 2006. "Ocean carbon sinks and international climate policy," Energy Policy, Elsevier, vol. 34(18), pages 3516-3526, December.
    8. Zhao, Dan & Ji, Shou-feng & Wang, He-ping & Jiang, Li-wen, 2021. "How do government subsidies promote new energy vehicle diffusion in the complex network context? A three-stage evolutionary game model," Energy, Elsevier, vol. 230(C).
    9. Liu, Yajie & Dong, Feng, 2022. "What are the roles of consumers, automobile production enterprises, and the government in the process of banning gasoline vehicles? Evidence from a tripartite evolutionary game model," Energy, Elsevier, vol. 238(PC).
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