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Evolutionary Game Analysis of Government and Residents’ Participation in Waste Separation Based on Cumulative Prospect Theory

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  • Lichi Zhang

    (School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212000, China
    School of Electronics and Information, Zhenjiang College, Zhenjiang 212028, China)

  • Yanyan Jiang

    (School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212000, China)

  • Junmin Wu

    (School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212000, China)

Abstract

Government and residents’ participation in waste separation is a complex non-cooperative game process, and the evolutionary game can explain the behavior of participating subjects well. Considering that the traditional evolutionary game cannot satisfactorily explain the irrational psychology and risk preference factors of the participating issues, this study combines the prospect theory and evolutionary game, uses the prospect value function to supplement and improve the parameters of the evolutionary game payment matrix, and analyzes the evolutionary stabilization strategy. To verify the theoretical results, simulation experiments and impact analysis were conducted, and meaningful results were obtained: There are two stable evolutionary strategies in the system, namely higher participation benefits for residents and lower participation costs and opportunity costs, and reasonable direct benefit distribution coefficients all help to increase the participation rate of waste separation. This study can provide some scientific suggestions for the government to design and build a waste-separation system.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:21:p:14589-:d:965166
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    References listed on IDEAS

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    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. Fu Chen & Xiaoxiao Li & Jing Ma & Yongjun Yang & Gang-Jun Liu, 2018. "An Exploration of the Impacts of Compulsory Source-Separated Policy in Improving Household Solid Waste-Sorting in Pilot Megacities, China: A Case Study of Nanjing," Sustainability, MDPI, vol. 10(5), pages 1-14, April.
    3. Dongliang Zhang & Guangqing Huang & Xiaoling Yin & Qinghua Gong, 2015. "Residents’ Waste Separation Behaviors at the Source: Using SEM with the Theory of Planned Behavior in Guangzhou, China," IJERPH, MDPI, vol. 12(8), pages 1-17, August.
    4. Tadesse, Tewodros, 2009. "Environmental concern and its implication to household waste separation and disposal: Evidence from Mekelle, Ethiopia," Resources, Conservation & Recycling, Elsevier, vol. 53(4), pages 183-191.
    5. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    6. Struk, Michal, 2017. "Distance and incentives matter: The separation of recyclable municipal waste," Resources, Conservation & Recycling, Elsevier, vol. 122(C), pages 155-162.
    7. repec:hhs:iuiwop:487 is not listed on IDEAS
    8. Lin Shen & Hongyun Si & Lei Yu & Haolun Si, 2019. "Factors Influencing Young People’s Intention toward Municipal Solid Waste Sorting," IJERPH, MDPI, vol. 16(10), pages 1-19, May.
    9. Jorgen W. Weibull, 1997. "Evolutionary Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262731215, December.
    10. Boonrod, K. & Towprayoon, S. & Bonnet, S. & Tripetchkul, S., 2015. "Enhancing organic waste separation at the source behavior: A case study of the application of motivation mechanisms in communities in Thailand," Resources, Conservation & Recycling, Elsevier, vol. 95(C), pages 77-90.
    11. Hao Liu & Zhong Yao, 2018. "Research on Mixed and Classification Simulation Models of Medical Waste—A Case Study in Beijing, China," Sustainability, MDPI, vol. 10(11), pages 1-16, November.
    12. Ilaria Barletta & Jon Larborn & Mahesh Mani & Björn Johannson, 2016. "Towards an Assessment Methodology to Support Decision Making for Sustainable Electronic Waste Management Systems: Automatic Sorting Technology," Sustainability, MDPI, vol. 8(1), pages 1-20, January.
    13. Kamran Rousta & Karin M. Ekström, 2013. "Assessing Incorrect Household Waste Sorting in a Medium-Sized Swedish City," Sustainability, MDPI, vol. 5(10), pages 1-13, October.
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