IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i11p1208-d562967.html
   My bibliography  Save this article

Equilibrium Resolution Mechanism for Multidimensional Conflicts in Farmland Expropriation Based on a Multistage Van Damme’s Model

Author

Listed:
  • Yang Tang

    (Department of Economy and Trade, School of Business, Central South University, Changsha 410083, China)

  • Kairong Hong

    (Department of Economy and Trade, School of Business, Central South University, Changsha 410083, China)

  • Yucheng Zou

    (Department of Economy and Trade, School of Business, Central South University, Changsha 410083, China)

  • Yanwei Zhang

    (Department of Land Management, College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

Multidimensional conflicts in farmland expropriation originate from the game of multidimensional interests between the local government and farmers. The strategy choices and equilibrium results of the two sides have evolved with changes to the situation and policy adjustments. Focusing on different types of farmland expropriation conflicts, this paper constructs a multistage Van Damme’s model of multidimensional conflicts in farmland expropriation, analyzes the stable equilibrium point of the behavior evolution of the local government and farmers under litigation settlement and nonlitigation settlement, and conducts simulation analysis on the behavior evolution and conflict resolution of both sides at different stages through MATLAB numerical simulation. The results show that (1) the interests’ game between the local government and farmers has changed periodically due to the evolution of the farmland expropriation system; (2) under litigation settlement, there is only the “government rent-seeking” conflict: in order to resolve the conflict, the cost of litigation for farmers can be reduced, while other policy interventions, such as controlling the rent-seeking ceiling of the local government and increasing the rent-seeking costs of the local government, can be implemented; (3) under nonlitigation settlement, there are three types of conflicts: to resolve the “government rent-seeking” conflict, we should control the rent-seeking ceiling of the local government and increase the rent-seeking costs of the local government or its positive social externality benefits under reasonable expropriation; to resolve the “nail household dilemma” conflict, we should increase the rent-seeking costs of farmers or their positive social externality benefits under reasonable compensation; to resolve the “extreme controversy” conflict, on the one hand, we should control the rent-seeking ceiling of farmers, and on the other hand, while controlling the rent-seeking ceiling of the local government, we should increase the farmers’ positive social externality benefits under reasonable compensation or negative social externality losses of both sides under rent seeking.

Suggested Citation

  • Yang Tang & Kairong Hong & Yucheng Zou & Yanwei Zhang, 2021. "Equilibrium Resolution Mechanism for Multidimensional Conflicts in Farmland Expropriation Based on a Multistage Van Damme’s Model," Mathematics, MDPI, vol. 9(11), pages 1-25, May.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:11:p:1208-:d:562967
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/11/1208/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/9/11/1208/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
    2. Haijun Bao & Xiaoting Zhu & Yingying Cen & Yi Peng & Jibin Xue, 2018. "Effects of Social Network on Human Capital of Land-Lost Farmers: A Study in Zhejiang Province," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(1), pages 167-187, May.
    3. Kairong Hong & Yucheng Zou & Mingyuan Zhu & Yanwei Zhang, 2021. "A Game Analysis of Farmland Expropriation Conflict in China under Multi-Dimensional Preference: Cooperation or Resistance?," Land, MDPI, vol. 10(2), pages 1-29, January.
    4. Qiuxiang Li & Haijun Bao & Yi Peng & Haowen Wang & Xiaoling Zhang, 2017. "The Collective Strategies of Major Stakeholders in Land Expropriation: A Tripartite Game Analysis of Central Government, Local Governments, and Land-Lost Farmers," Sustainability, MDPI, vol. 9(4), pages 1-15, April.
    5. Reuveny, Rafael & Maxwell, John W. & Davis, Jefferson, 2011. "On conflict over natural resources," Ecological Economics, Elsevier, vol. 70(4), pages 698-712, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhongcheng Yan & Feng Wei & Xin Deng & Chuan Li & Yanbin Qi, 2021. "Does Land Expropriation Experience Increase Farmers’ Farmland Value Expectations? Empirical Evidence from the People’s Republic of China," Land, MDPI, vol. 10(6), pages 1-23, June.
    2. Zhaoyu Cao & Xu Zhao & Yucheng Zou & Kairong Hong & Yanwei Zhang, 2021. "Multidimensional Fair Fuzzy Equilibrium Evaluation of Housing Expropriation Compensation from the Perspective of Behavioral Preference: A Case Study from China," Mathematics, MDPI, vol. 9(6), pages 1-22, March.
    3. Dehai Liu & Hongyi Li & Weiguo Wang & Chuang Zhou, 2015. "Scenario forecast model of long term trends in rural labor transfer based on evolutionary games," Journal of Evolutionary Economics, Springer, vol. 25(3), pages 649-670, July.
    4. Liang Liu & Cong Feng & Hongwei Zhang & Xuehua Zhang, 2015. "Game Analysis and Simulation of the River Basin Sustainable Development Strategy Integrating Water Emission Trading," Sustainability, MDPI, vol. 7(5), pages 1-21, April.
    5. Liu, Jicheng & Sun, Jiakang & Yuan, Hanying & Su, Yihan & Feng, Shuxian & Lu, Chaoran, 2022. "Behavior analysis of photovoltaic-storage-use value chain game evolution in blockchain environment," Energy, Elsevier, vol. 260(C).
    6. Jin, Tao & Jiang, Yulian & Liu, Xingwen, 2023. "Evolutionary game analysis of the impact of dynamic dual credit policy on new energy vehicles after subsidy cancellation," Applied Mathematics and Computation, Elsevier, vol. 440(C).
    7. Xiongwei Quan & Gaoshan Zuo & Helin Sun, 2022. "Risk Perception Thresholds and Their Impact on the Behavior of Nearby Residents in Waste to Energy Project Conflict: An Evolutionary Game Analysis," Sustainability, MDPI, vol. 14(9), pages 1-20, May.
    8. Wei Wang & Yanbin Li & Jinzhong Li & Yun Li, 2024. "Can pumped-storage power stations stimulate rural revitalization? Evidence from the four-party evolutionary game," Journal of Evolutionary Economics, Springer, vol. 34(3), pages 595-645, July.
    9. Wenke Wang & Xiaoqiong You & Kebei Liu & Yenchun Jim Wu & Daming You, 2020. "Implementation of a Multi-Agent Carbon Emission Reduction Strategy under the Chinese Dual Governance System: An Evolutionary Game Theoretical Approach," IJERPH, MDPI, vol. 17(22), pages 1-21, November.
    10. He, Yong & Jiang, Ruipeng & Liao, Nuo, 2023. "How to promote the Chinese Certified Emission Reduction scheme in the carbon market? A study based on tripartite evolutionary game model," Energy, Elsevier, vol. 285(C).
    11. Yingrui Ma & Chao Wu & Xindong Wei & Weijun Gao & Lei Sun, 2024. "Evolutionary Dynamics of Passive Housing Initiatives in New Rural Construction," Sustainability, MDPI, vol. 16(13), pages 1-20, June.
    12. Zhuozhuo Gou & Yansong Deng, 2021. "Dynamic Model of Collaboration in Multi-Agent System Based on Evolutionary Game Theory," Games, MDPI, vol. 12(4), pages 1-19, October.
    13. Yi Shi & Yan Li, 2022. "An Evolutionary Game Analysis on Green Technological Innovation of New Energy Enterprises under the Heterogeneous Environmental Regulation Perspective," Sustainability, MDPI, vol. 14(10), pages 1-26, May.
    14. Fisher, Eric ON. & Kakkar, Vikas, 2004. "On the evolution of comparative advantage in matching models," Journal of International Economics, Elsevier, vol. 64(1), pages 169-193, October.
    15. Faggini, Marisa & Parziale, Anna, 2011. "Fitness landscape and tax planning: NK model for fiscal federalism," MPRA Paper 33770, University Library of Munich, Germany.
    16. Guoqiang Qiu & Yinghong Wang & Shanshan Guo & Qian Niu & Lin Qin & Di Zhu & Yunlong Gong, 2022. "Assessment and Spatial-Temporal Evolution Analysis of Land Use Conflict within Urban Spatial Zoning: Case of the Su-Xi-Chang Region," Sustainability, MDPI, vol. 14(4), pages 1-18, February.
    17. Sebastian Krapohl & Václav Ocelík & Dawid M. Walentek, 2021. "The instability of globalization: applying evolutionary game theory to global trade cooperation," Public Choice, Springer, vol. 188(1), pages 31-51, July.
    18. Yan Guo & Jiajun Lin & Weiqing Zhuang, 2024. "An Evolutionary Game-Based Regulatory Path for Algorithmic Price Discrimination in E-Commerce Platforms," Mathematics, MDPI, vol. 12(17), pages 1-30, September.
    19. Manh Hong Duong & Hoang Minh Tran & The Anh Han, 2019. "On the Expected Number of Internal Equilibria in Random Evolutionary Games with Correlated Payoff Matrix," Dynamic Games and Applications, Springer, vol. 9(2), pages 458-485, June.
    20. Yaling Deng & Daming You & Yang Zhang, 2021. "Can the Behavioural Spillover Effect Affect the Environmental Regulations Strategy Choice of Local Governments?," IJERPH, MDPI, vol. 18(9), pages 1-24, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:9:y:2021:i:11:p:1208-:d:562967. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.