IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i2p1650-d1035994.html
   My bibliography  Save this article

Research on Strategy Evolution of Contractor and Resident in Construction Stage of Old Community Renovation Project

Author

Listed:
  • Yingxia Xue

    (Business College, Southwest University, Chongqing 402460, China
    Department of Construction Management and Real Estate, School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Fang Liu

    (Management Science and Engineering, School of Economics and Management, Tongji University, 4800 Caoan Rd., Shanghai 201804, China)

  • Guangbin Wang

    (Department of Construction Management and Real Estate, School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Jungang Shao

    (School of Economics & Management, Shanghai Maritime University, Shanghai 201306, China)

Abstract

In order to improve the living environment and meet the daily needs of residents, the Chinese government is vigorously promoting the policy of old community renovation, which is closely related to the life quality and happiness of the residents. However, conflicts often occur between residents and contractors in the construction stage of old community renovation projects as a result of failing to satisfy residents’ demands. This paper uses evolutionary game theory to explore this issue. An evolutionary game model between contractor and resident is established, and then nine different strategy evolution scenarios are derived based on it. Numerical simulation is conducted to analyze the influencing factors of conflict between resident and contractor in the construction stage. It is found that construction cost, reputation, and loss caused by resident’s protest are important factors for the contractor to consider resident’s demand. Protesting cost, probability of winning the protest, and increase in benefit of winning protest exert great impact on the evolution of resident’s strategy decision on whether to protest. The paper can help to predict and affect the strategy evolution of the two parties, which will promote smooth progress of old community renovation.

Suggested Citation

  • Yingxia Xue & Fang Liu & Guangbin Wang & Jungang Shao, 2023. "Research on Strategy Evolution of Contractor and Resident in Construction Stage of Old Community Renovation Project," Sustainability, MDPI, vol. 15(2), pages 1-20, January.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1650-:d:1035994
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/2/1650/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/2/1650/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xueping Wu & Liping Zhang & Jianhua Huang & Wei Li & Yanhua Chen & Wenhai Qiu, 2021. "Evolutionary Game Analysis on Behavioral Strategies of Government and Residents in Municipal Household Waste Separation," Sustainability, MDPI, vol. 13(20), pages 1-19, October.
    2. Qianqian Shi & Jianbo Zhu & Qian Li, 2018. "Cooperative Evolutionary Game and Applications in Construction Supplier Tendency," Complexity, Hindawi, vol. 2018, pages 1-13, January.
    3. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
    4. Kaniovski Yuri M. & Young H. Peyton, 1995. "Learning Dynamics in Games with Stochastic Perturbations," Games and Economic Behavior, Elsevier, vol. 11(2), pages 330-363, November.
    5. Shan Gao & Shuang Ling & Wenhui Liu, 2018. "The Role of Social Media in Promoting Information Disclosure on Environmental Incidents: An Evolutionary Game Theory Perspective," Sustainability, MDPI, vol. 10(12), pages 1-19, November.
    6. Shan, Haiyan & Yang, Junliang, 2019. "Sustainability of photovoltaic poverty alleviation in China: An evolutionary game between stakeholders," Energy, Elsevier, vol. 181(C), pages 264-280.
    7. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    8. Liping Dai & Helena F. M. W. van Rijswick & Peter P. J. Driessen & Andrea M. Keessen, 2018. "Governance of the Sponge City Programme in China with Wuhan as a case study," International Journal of Water Resources Development, Taylor & Francis Journals, vol. 34(4), pages 578-596, July.
    9. Hong Shen & Ying Peng & Chunxiang Guo, 2018. "Analysis of the Evolution Game of Construction and Demolition Waste Recycling Behavior Based on Prospect Theory under Environmental Regulation," IJERPH, MDPI, vol. 15(7), pages 1-17, July.
    10. Congdong Li & Xiaoli Li & Yu Wang, 2016. "Evolutionary Game Analysis of the Supervision Behavior for Public-Private Partnership Projects with Public Participation," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-8, October.
    11. Christian Schmidt, 2004. "Are evolutionary games another way of thinking about game theory?," Journal of Evolutionary Economics, Springer, vol. 14(2), pages 249-262, June.
    12. John M. Staatz, 1983. "The Cooperative as a Coalition: A Game-Theoretic Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 65(5), pages 1084-1089.
    13. Chuansheng Wang & Fulei Shi, 2019. "An Evolutionary Game Model for Industrial Pollution Management under Two Punishment Mechanisms," IJERPH, MDPI, vol. 16(15), pages 1-15, August.
    14. Tongyao Feng & Shuangliang Tai & Chengshuang Sun & Qingpeng Man, 2017. "Study on Cooperative Mechanism of Prefabricated Producers Based on Evolutionary Game Theory," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-6, July.
    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. Yang, Kun & Wang, Wan & Xiong, Wan, 2021. "Promoting the sustainable development of infrastructure projects through responsible innovation: An evolutionary game analysis," Utilities Policy, Elsevier, vol. 70(C).
    2. Xingyi Yang & Xiaopei Dai & Zhenyu Liu, 2023. "Retailers’ Audit Strategies for Green Agriculture Based on Dynamic Evolutionary Game," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    3. 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.
    4. Yanyan Jiang & Lichi Zhang & Junmin Wu, 2023. "Evolutionary Game Study of Waste Separation Policy in the Context of the “Double Carbon” Target," Sustainability, MDPI, vol. 15(10), pages 1-22, May.
    5. Li, Ye & Yang, Tianjian & Zhang, Yu, 2022. "Evolutionary game theory-based system dynamics modeling for community solid waste classification in China," Utilities Policy, Elsevier, vol. 79(C).
    6. Xin Gao & Juqin Shen & Weijun He & Fuhua Sun & Zhaofang Zhang & Xin Zhang & Liang Yuan & Min An, 2019. "Multilevel Governments’ Decision-Making Process and Its Influencing Factors in Watershed Ecological Compensation," Sustainability, MDPI, vol. 11(7), pages 1-28, April.
    7. Yemei Li & Yanfei Shan & Ying Chen, 2021. "Analysis of Farmland Abandonment and Government Supervision Traps in China," IJERPH, MDPI, vol. 18(4), pages 1-27, February.
    8. Lichi Zhang & Yanyan Jiang & Junmin Wu, 2022. "Evolutionary Game Analysis of Government and Residents’ Participation in Waste Separation Based on Cumulative Prospect Theory," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
    9. Song Yang & Jincai Zhuang & Aifeng Wang & Yancai Zhang, 2019. "Evolutionary Game Analysis of Chinese Food Quality considering Effort Levels," Complexity, Hindawi, vol. 2019, pages 1-13, November.
    10. 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).
    11. 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).
    12. 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.
    13. 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.
    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. Guangbin Wang & Yingxia Xue & Mirosław Jan Skibniewski & Jiule Song & Hao Lu, 2018. "Analysis of Private Investors Conduct Strategies by Governments Supervising Public-Private Partnership Projects in the New Media Era," Sustainability, MDPI, vol. 10(12), pages 1-26, December.
    17. Matthew McGinty, 2010. "International Environmental Agreements as Evolutionary Games," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(2), pages 251-269, February.
    18. Hsi Tse Wang, 2020. "Discussion of the Competitive Strategies of Telecom Operators and Over-the-Top Service Providers from the Perspective of Evolutionary Game Theory," Decision Analysis, INFORMS, vol. 17(3), pages 260-275, September.
    19. Dijkstra, Bouwe R. & de Vries, Frans P., 2006. "Location choice by households and polluting firms: An evolutionary approach," European Economic Review, Elsevier, vol. 50(2), pages 425-446, February.
    20. Kuechle, Graciela, 2011. "Persistence and heterogeneity in entrepreneurship: An evolutionary game theoretic analysis," Journal of Business Venturing, Elsevier, vol. 26(4), pages 458-471, July.

    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:jsusta:v:15:y:2023:i:2:p:1650-:d:1035994. 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.