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Evolutionary Game Analysis for Grassland Degradation Management, Considering the Livelihood Differentiation of Herders

Author

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  • Yong Sun

    (School of Public Administration, Guangzhou University, Guangzhou 510006, China)

  • Hongyan Du

    (Institute of Data Science and Agricultural Economics, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China)

  • Baoyin Liu

    (Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China)

  • Yingluck Kanchanaroek

    (College of Interdisciplinary Studies, Thammasat University, Lampang 52190, Thailand)

  • Junfeng Zhang

    (Institute of Data Science and Agricultural Economics, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China)

  • Pei Zhang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

Grassland degradation has become one of the most important ecological and environmental problems in the world, affecting the ecological balance of grassland and the welfare of residents. To reveal the impact mechanism of herders’ livelihood constraints on grassland degradation, and to explore the comprehensive management methods to ensure herders’ livelihoods and grassland ecological restoration, this paper constructed an evolutionary game model considering local governments and herders. It is found that the ideal stable equilibrium game can be achieved when certain conditions are met, that is, when the local governments actively regulate and herders moderate grazing, the grassland degradation caused by overgrazing can be reduced. The livelihood differentiation of herders significantly affects the stable equilibrium state of the evolutionary game. The local government’s regulation is the key to promoting moderate grazing of herders. The effect of incentive measures on the moderate grazing of herders is limited, while punishment measures can significantly restrict the excessive grazing behavior of herders. Policy support for household livelihood differentiation can effectively motivate herders to moderate grazing and achieve their survival and development needs to a greater extent through a non-grazing livelihood. The research results help decision-makers to formulate policies to combat grassland degradation, and promote the improvement of herders’ lives.

Suggested Citation

  • Yong Sun & Hongyan Du & Baoyin Liu & Yingluck Kanchanaroek & Junfeng Zhang & Pei Zhang, 2022. "Evolutionary Game Analysis for Grassland Degradation Management, Considering the Livelihood Differentiation of Herders," Land, MDPI, vol. 11(10), pages 1-18, October.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:10:p:1776-:d:940296
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    as
    1. Junguo Liu & Hong Yang & H. H. G. Savenije, 2008. "China's move to higher-meat diet hits water security," Nature, Nature, vol. 454(7203), pages 397-397, July.
    2. 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.
    3. Gbemisola Oseni & Paul Winters, 2009. "Rural nonfarm activities and agricultural crop production in Nigeria," Agricultural Economics, International Association of Agricultural Economists, vol. 40(2), pages 189-201, March.
    4. Shackleton, Charlie M. & Shackleton, Sheona E. & Buiten, Erik & Bird, Neil, 2007. "The importance of dry woodlands and forests in rural livelihoods and poverty alleviation in South Africa," Forest Policy and Economics, Elsevier, vol. 9(5), pages 558-577, January.
    5. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    6. Xinhai Lu & Yanwei Zhang & Chaoran Lin & Feng Wu, 2021. "Evolutionary Overview and Prediction of Themes in the Field of Land Degradation," Land, MDPI, vol. 10(3), pages 1-23, March.
    7. Pan, Ying & Wu, Junxi & Zhang, Yanjie & Zhang, Xianzhou & Yu, Chengqun, 2021. "Simultaneous enhancement of ecosystem services and poverty reduction through adjustments to subsidy policies relating to grassland use in Tibet, China," Ecosystem Services, Elsevier, vol. 48(C).
    8. Moses Fayiah & ShiKui Dong & Sphiwe Wezzie Khomera & Syed Aziz Ur Rehman & Mingyue Yang & Jiannan Xiao, 2020. "Status and Challenges of Qinghai–Tibet Plateau’s Grasslands: An Analysis of Causes, Mitigation Measures, and Way Forward," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    9. Ransom, J. K. & Paudyal, K. & Adhikari, K., 2003. "Adoption of improved maize varieties in the hills of Nepal," Agricultural Economics, Blackwell, vol. 29(3), pages 299-305, December.
    10. Lise, Wietze & Hess, Sebastiaan & Purev, Byamba, 2006. "Pastureland degradation and poverty among herders in Mongolia: Data analysis and game estimation," Ecological Economics, Elsevier, vol. 58(2), pages 350-364, June.
    11. Huilong Lin & Yuting Zhao & Ghulam Mujtaba Kalhoro, 2022. "Ecological Response of the Subsidy and Incentive System for Grassland Conservation in China," Land, MDPI, vol. 11(3), pages 1-23, February.
    12. Liu, Min & Dries, Liesbeth & Huang, Jikun & Min, Shi & Tang, Jianjun, 2019. "The impacts of the eco-environmental policy on grassland degradation and livestock production in Inner Mongolia, China: An empirical analysis based on the simultaneous equation model," Land Use Policy, Elsevier, vol. 88(C).
    13. Wang, Gang & Chao, Yuechao & Chen, Zeshao, 2021. "Promoting developments of hydrogen powered vehicle and solar PV hydrogen production in China: A study based on evolutionary game theory method," Energy, Elsevier, vol. 237(C).
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