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Evolutionary Game Analysis of Fallow Farmland Behaviors of Different Types of Farmers and Local Governments

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  • Xie, Hualin
  • Jin, Shengtian

Abstract

The fallowing of farmland is a basic system in China that allows the degraded farmland to recuperate and restore the ecological environment. However, during the implementation of the fallow policy, the fallow farmers may not be subsidized, the farmers may be subsidized but they are not fallowing, or the area of fallow may not have reached the expected target. To solve these problems, under the conditions of bounded rationality and information asymmetry, this paper constructs evolutionary game models of different types of farmers and local governments, studies evolutionarily stable equilibrium strategies, and conducts simulation analysis. The results showed that (1) pure farmers and local governments cannot achieve ideal equilibrium through independent games, and the central government needs to supervise both sides. The fines need to be greater than the pure income of the farmers' crops and subsidies of local governments. (2) Only when part-time farmers use all their time to engage in other industries and earn more than the income from other industries while planting crops, the independent game can achieve an ideal balance. Otherwise, it is necessary to introduce the central government to supervise both parties. The fines need to be greater than the difference between the income of part-time farmers with or without fallows and the subsidies of the local government. (3) In the absence of external constraints, any nonfarmers' strategy is evolutionary and stable. The local governments' evolutionarily stable equilibrium strategy are nonsubsidized. To ensure that nonfarmers choose the fallow policy, the central government needs to supervise the fallow subsidies of local governments, and the fines need to be greater than the subsidies of local governments. (4) Some relevant policy implications are put forward. Including implementing differentiated fallow farmland supervision and punishment strategies, improving the performance appraisal system and accelerating the construction of township enterprises.

Suggested Citation

  • Xie, Hualin & Jin, Shengtian, 2019. "Evolutionary Game Analysis of Fallow Farmland Behaviors of Different Types of Farmers and Local Governments," Land Use Policy, Elsevier, vol. 88(C).
  • Handle: RePEc:eee:lauspo:v:88:y:2019:i:c:s026483771930688x
    DOI: 10.1016/j.landusepol.2019.104122
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Qianru Chen & Hualin Xie & Qunli Zhai, 2022. "Management Policy of Farmers’ Cultivated Land Abandonment Behavior Based on Evolutionary Game and Simulation Analysis," Land, MDPI, vol. 11(3), pages 1-23, February.
    2. Qianru Chen, 2022. "Analyzing Farmers’ Cultivated-Land-Abandonment Behavior: Integrating the Theory of Planned Behavior and a Structural Equation Model," Land, MDPI, vol. 11(10), pages 1-17, October.
    3. Jia Gao & Ge Song & Shuhan Liu, 2022. "Factors influencing farmers’ willingness and behavior choices to withdraw from rural homesteads in China," Growth and Change, Wiley Blackwell, vol. 53(1), pages 112-131, March.
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    5. Xie, Xianxiong & Cui, Yu & Yao, Liuyang & Ni, Qi & Khan, Sufyan Ullah & Zhao, Minjuan, 2022. "Does fallow policy affect rural household income in poor areas? A quasi-experimental evidence from fallow pilot area in Northwest China," Land Use Policy, Elsevier, vol. 120(C).
    6. 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.
    7. Linlin Wang & Zhuo Li & Chengcheng Yuan & Liming Liu, 2024. "Exploration on the reasons for low efficiency of arable land protection policy in China: an evolutionary game theoretic model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 25173-25198, October.
    8. Yanwei Zhang & Xinhai Lu & Yucheng Zou & Tiangui Lv, 2022. "Nudging Strategies for Arable Land Protection Behavior in China," IJERPH, MDPI, vol. 19(19), pages 1-20, October.
    9. Xie, Hualin & Huang, Yingqian & Choi, Yongrok & Shi, Jiaying, 2021. "Evaluating the sustainable intensification of cultivated land use based on emergy analysis," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    10. Tiangui Lv & Hualin Xie & Hua Lu & Xinmin Zhang & Lei Yang, 2019. "A Game Theory-Based Approach for Exploring Water Resource Exploitation Behavior in the Poyang Lake Basin, China," Sustainability, MDPI, vol. 11(22), pages 1-14, November.
    11. Hualin Xie & Yanwei Zhang & Yongrok Choi & Fengqin Li, 2020. "A Scientometrics Review on Land Ecosystem Service Research," Sustainability, MDPI, vol. 12(7), pages 1-23, April.
    12. Hong Chen & Sha Chen & Runjia Yang & Liping Shan & Jinmin Hao & Yanmei Ye, 2023. "Optimizing the Cropland Fallow for Water Resource Security in the Groundwater Funnel Area of China," Land, MDPI, vol. 12(2), pages 1-15, February.
    13. Yun Teng & Peiwen Lin, 2022. "Research on Behavioral Decision-Making of Subjects on Cultivated Land Conservation under the Goal of Carbon Neutrality," Land, MDPI, vol. 11(10), pages 1-25, September.
    14. He, Yafen & Xie, Hualin & Peng, Chaozhong, 2020. "Analyzing the behavioural mechanism of farmland abandonment in the hilly mountainous areas in China from the perspective of farming household diversity," Land Use Policy, Elsevier, vol. 99(C).
    15. Sadooghi, Seyed Ehsan & Taleai, Mohammad & Abolhasani, Somaie, 2022. "Simulation of urban growth scenarios using integration of multi-criteria analysis and game theory," Land Use Policy, Elsevier, vol. 120(C).
    16. Danling Chen & Wenbo Hu, 2023. "Temporal and Spatial Effects of Heavy Metal-Contaminated Cultivated Land Treatment on Agricultural Development Resilience," Land, MDPI, vol. 12(5), pages 1-16, April.

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