IDEAS home Printed from https://ideas.repec.org/a/eee/juipol/v79y2022ics0957178722001151.html
   My bibliography  Save this article

Evolutionary game theory-based system dynamics modeling for community solid waste classification in China

Author

Listed:
  • Li, Ye
  • Yang, Tianjian
  • Zhang, Yu

Abstract

To increase the utilization rate of renewable resources, China will widely implement solid waste classification in the next few years. However, waste classification in many communities has been placed on hold. This study establishes a multi-player evolutionary game among the government, community, and residents to explore the real reasons for the implementation difficulties. The evolutionary game is simulated by adopting system dynamics to analyze the effectiveness of various strategies on the game process and game equilibrium to provide references for the government to formulate macro policies. We show that fluctuations in a static penalty scheme make formulating effective strategies difficult for the government. By contrast, a dynamic penalty scheme can effectively eliminate fluctuations. Furthermore, the optimal dynamic penalty-subsidy scheme features an ideal evolutionarily stable strategy where the optimal strategy for a community and its residents is to implement the waste classification system and obey the rules, respectively.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:juipol:v:79:y:2022:i:c:s0957178722001151
    DOI: 10.1016/j.jup.2022.101451
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0957178722001151
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jup.2022.101451?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ruutu, Sampsa & Casey, Thomas & Kotovirta, Ville, 2017. "Development and competition of digital service platforms: A system dynamics approach," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 119-130.
    2. 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.
    3. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
    4. Nainggolan, Doan & Pedersen, Anders Branth & Smed, Sinne & Zemo, Kahsay Haile & Hasler, Berit & Termansen, Mette, 2019. "Consumers in a Circular Economy: Economic Analysis of Household Waste Sorting Behaviour," Ecological Economics, Elsevier, vol. 166(C), pages 1-1.
    5. Mi, Zhifu & Zhang, Yunkun & Guan, Dabo & Shan, Yuli & Liu, Zhu & Cong, Ronggang & Yuan, Xiao-Chen & Wei, Yi-Ming, 2016. "Consumption-based emission accounting for Chinese cities," Applied Energy, Elsevier, vol. 184(C), pages 1073-1081.
    6. Shi, Yi & Deng, Yawen & Wang, Guoan & Xu, Jiuping, 2020. "Stackelberg equilibrium-based eco-economic approach for sustainable development of kitchen waste disposal with subsidy policy: A case study from China," Energy, Elsevier, vol. 196(C).
    7. Friedman, Daniel, 1991. "Evolutionary Games in Economics," Econometrica, Econometric Society, vol. 59(3), pages 637-666, May.
    8. Xie, Hualin & Wang, Wei & Zhang, Xinmin, 2018. "Evolutionary game and simulation of management strategies of fallow cultivated land: A case study in Hunan province, China," Land Use Policy, Elsevier, vol. 71(C), pages 86-97.
    9. Di Vaio, Assunta & Varriale, Luisa & Trujillo, Lourdes, 2019. "Management Control Systems in port waste management: Evidence from Italy," Utilities Policy, Elsevier, vol. 56(C), pages 127-135.
    10. Ricardo Azevedo Araujo & Helmar Nunes Moreira, 2014. "Lyapunov stability in an evolutionary game theory model of the labour market," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 15(1), pages 41-53.
    11. Zhang, Yue-Jun & Da, Ya-Bin, 2015. "The decomposition of energy-related carbon emission and its decoupling with economic growth in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1255-1266.
    12. Giulia Caruso & Stefano Antonio Gattone, 2019. "Waste Management Analysis in Developing Countries through Unsupervised Classification of Mixed Data," Social Sciences, MDPI, vol. 8(6), pages 1-15, June.
    13. Yujun Yuan & Tong Li & Qiang Zhai, 2020. "Life Cycle Impact Assessment of Garbage-Classification Based Municipal Solid Waste Management Systems: A Comparative Case Study in China," IJERPH, MDPI, vol. 17(15), pages 1-20, July.
    14. Cao, Jian & Lu, Bo & Chen, Yangyang & Zhang, Xuemei & Zhai, Guangshu & Zhou, Gengui & Jiang, Boxin & Schnoor, Jerald L., 2016. "Extended producer responsibility system in China improves e-waste recycling: Government policies, enterprise, and public awareness," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 882-894.
    15. Wanglin Ma & Zhongkun Zhu, 2021. "Internet use and willingness to participate in garbage classification: an investigation of Chinese residents," Applied Economics Letters, Taylor & Francis Journals, vol. 28(9), pages 788-793, May.
    16. Zhang, Yue-Jun & Peng, Yu-Lu & Ma, Chao-Qun & Shen, Bo, 2017. "Can environmental innovation facilitate carbon emissions reduction? Evidence from China," Energy Policy, Elsevier, vol. 100(C), pages 18-28.
    17. Hammerstein, Peter & Selten, Reinhard, 1994. "Game theory and evolutionary biology," Handbook of Game Theory with Economic Applications, in: R.J. Aumann & S. Hart (ed.), Handbook of Game Theory with Economic Applications, edition 1, volume 2, chapter 28, pages 929-993, Elsevier.
    18. Poles, Roberto, 2013. "System Dynamics modelling of a production and inventory system for remanufacturing to evaluate system improvement strategies," International Journal of Production Economics, Elsevier, vol. 144(1), pages 189-199.
    19. Ghalehkhondabi, Iman & Maihami, Reza & Ahmadi, Ehsan, 2020. "Optimal pricing and environmental improvement for a hazardous waste disposal supply chain with emission penalties," Utilities Policy, Elsevier, vol. 62(C).
    20. Zhang, Suopeng & Zhang, Mingli & Yu, Xueying & Ren, Hao, 2016. "What keeps Chinese from recycling: Accessibility of recycling facilities and the behavior," Resources, Conservation & Recycling, Elsevier, vol. 109(C), pages 176-186.
    21. Takehiro Usui & Mitsuko Chikasada & Kazuhiko Kakamu, 2017. "Does garbage pricing increase the immoral disposal of household waste?," Applied Economics, Taylor & Francis Journals, vol. 49(38), pages 3829-3840, August.
    22. Soukopová, Jana & Vaceková, Gabriela & Klimovský, Daniel, 2017. "Local waste management in the Czech Republic: Limits and merits of public-private partnership and contracting out," Utilities Policy, Elsevier, vol. 48(C), pages 201-209.
    23. Boya Zhou & Chunxia Sun & Hongtao Yi, 2017. "Solid Waste Disposal in Chinese Cities: An Evaluation of Local Performance," Sustainability, MDPI, vol. 9(12), pages 1-20, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Yang & Zhang, Kun & Liu, Congyan & Li, Fangshu & Xu, Bing, 2023. "Influence of the perceived neighborhood environment on Paying for domestic waste management services in rural China: Evidence from the Xiangtan Prefecture," Utilities Policy, Elsevier, vol. 85(C).
    2. Dan Yu & Caihong Zhang & Siyi Wang & Lan Zhang, 2023. "Evolutionary Game and Simulation Analysis of Power Plant and Government Behavior Strategies in the Coupled Power Generation Industry of Agricultural and Forestry Biomass and Coal," Energies, MDPI, vol. 16(3), pages 1-19, February.

    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. Di Chen & Yue Wang & Yang Wen & Honglin Du & Xue Tan & Lei Shi & Zhong Ma, 2021. "Does Environmental Policy Help Green Industry? Evidence from China’s Promotion of Municipal Solid Waste Sorting," IJERPH, MDPI, vol. 18(6), pages 1-15, March.
    2. 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.
    3. Caihua Zhou & Hualin Xie & Xinmin Zhang, 2019. "Does Fiscal Policy Promote Third-Party Environmental Pollution Control in China? An Evolutionary Game Theoretical Approach," Sustainability, MDPI, vol. 11(16), pages 1-18, August.
    4. 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.
    5. 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.
    6. Wang, Miao & Feng, Chao, 2017. "Analysis of energy-related CO2 emissions in China’s mining industry: Evidence and policy implications," Resources Policy, Elsevier, vol. 53(C), pages 77-87.
    7. 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).
    8. 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.
    9. 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.
    10. Gao, Chunjiao & Chen, Hongxi, 2023. "Electricity from renewable energy resources: Sustainable energy transition and emissions for developed economies," Utilities Policy, Elsevier, vol. 82(C).
    11. 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.
    12. 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.
    13. Faggini, Marisa & Parziale, Anna, 2011. "Fitness landscape and tax planning: NK model for fiscal federalism," MPRA Paper 33770, University Library of Munich, Germany.
    14. Wang, Zhiping & Feng, Chao & Chen, Jinyu & Huang, Jianbai, 2017. "The driving forces of material use in China: An index decomposition analysis," Resources Policy, Elsevier, vol. 52(C), pages 336-348.
    15. Xinlin Zhang & Yuan Zhao & Qi Sun & Changjian Wang, 2017. "Decomposition and Attribution Analysis of Industrial Carbon Intensity Changes in Xinjiang, China," Sustainability, MDPI, vol. 9(3), pages 1-16, March.
    16. Lei Gao & Zhen-Yu Zhao, 2020. "The Evolutionary Game of Stakeholders’ Coordination Mechanism of New Energy Power Construction PPP Project: A China Case," Sustainability, MDPI, vol. 12(3), pages 1-24, February.
    17. Zhaolong Ge & Kai Deng & Liang Zhang & Shaojie Zuo, 2020. "Development potential evaluation of CO2‐ECBM in abandoned coal mines," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(3), pages 643-658, June.
    18. 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.
    19. 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.
    20. 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.

    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:eee:juipol:v:79:y:2022:i:c:s0957178722001151. 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: Catherine Liu (email available below). General contact details of provider: https://www.sciencedirect.com/journal/utilities-policy .

    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.