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An Evolutionary Game Theory Study for Construction and Demolition Waste Recycling Considering Green Development Performance under the Chinese Government’s Reward–Penalty Mechanism

Author

Listed:
  • Hongyu Long

    (School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, China)

  • Hongyong Liu

    (School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, China)

  • Xingwei Li

    (College of Architecture and Urban-Rural Planning, Sichuan Agricultural University, Chengdu 611830, China
    School of Management, Jiangsu University, Zhenjiang 212013, China)

  • Longjun Chen

    (Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing 100083, China)

Abstract

The low efficiency of the closed-loop supply chain in construction and demolition waste (CDW) recycling has restricted the green development of China’s construction industry. Additionally, the government’s reward–penalty mechanism has a huge influence on green development. This study aimed to investigate the effect of green development performance (GDP) and the government’s reward–penalty mechanism on the decision-making process of production and recycling units, as well as to reveal the optimal strategies under different conditions. Therefore, the strategies’ evolutionary paths of production and recycling units were investigated by using evolutionary game theory. Firstly, an evolutionary game model between production units and recycling units was proposed under the government’s reward–penalty mechanism. Then, the evolutionary stability strategies in different scenarios were discussed. Finally, the effects of the relevant parameters on the evolutionary paths of the game model were analyzed using numerical simulations. The main conclusions are as follows. (1) When the range of GDP changes, the evolutionary stable strategy changes accordingly. GDP plays a positive role in promoting the high-quality development of the CDW recycling supply chain, but an increase in GDP can easily lead to the simultaneous motivation of free-riding. (2) The government’s reward–penalty mechanism effectively regulates the decision-making process of production and recycling units. An increase in the subsidy rate and supervision probability helps to reduce free-riding behavior. Moreover, the incentive effect of the subsidy probability on recycling units is more obvious, while the effect of the supervision probability on improving the motivation of active participation for production units is more remarkable. This paper not only provides a decision-making basis to ensure production and recycling units to make optimal strategy choices under different conditions but also provides a reference for the government to formulate a reasonable reward–penalty mechanism that is conducive to a macro-control market.

Suggested Citation

  • Hongyu Long & Hongyong Liu & Xingwei Li & Longjun Chen, 2020. "An Evolutionary Game Theory Study for Construction and Demolition Waste Recycling Considering Green Development Performance under the Chinese Government’s Reward–Penalty Mechanism," IJERPH, MDPI, vol. 17(17), pages 1-21, August.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:17:p:6303-:d:406034
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    2. Xingwei Li & Yicheng Huang & Xiangxue Li & Xiang Liu & Jingru Li & Jinrong He & Jiachi Dai, 2022. "How does the Belt and Road policy affect the level of green development? A quasi-natural experimental study considering the CO2 emission intensity of construction enterprises," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
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    4. Longfei He & Baiyun Yuan & Junsong Bian & Kin Keung Lai, 2023. "Differential game theoretic analysis of the dynamic emission abatement in low-carbon supply chains," Annals of Operations Research, Springer, vol. 324(1), pages 355-393, May.
    5. Xiaoxiao Geng & Ling Lv & Yingchen Wang & Ran Sun & Xiangmei Wang, 2022. "Evolutionary Game Research on Green Construction Considering Consumers’ Preference under Government Supervision," IJERPH, MDPI, vol. 19(24), pages 1-27, December.
    6. Yanlu Guo & Gongli Luo & Guisheng Hou, 2021. "Research on the Evolution of the Express Packaging Recycling Strategy, Considering Government Subsidies and Synergy Benefits," IJERPH, MDPI, vol. 18(3), pages 1-25, January.
    7. Xiaoman Mu & Suao Lu & Qinyi Li, 2023. "How to Promote the Development of Industrial Wastewater Treatment Technological Innovation in China: A Tripartite Evolutionary Game Analysis," Sustainability, MDPI, vol. 15(21), pages 1-24, October.
    8. Zhang, Yan & Wang, Si-Xia & Yao, Jian-Ting & Tong, Rui-Peng, 2023. "The impact of behavior safety management system on coal mine work safety: A system dynamics model of quadripartite evolutionary game," Resources Policy, Elsevier, vol. 82(C).
    9. Xingwei Li & Jianguo Du & Hongyu Long, 2020. "Mechanism for Green Development Behavior and Performance of Industrial Enterprises (GDBP-IE) Using Partial Least Squares Structural Equation Modeling (PLS-SEM)," IJERPH, MDPI, vol. 17(22), pages 1-19, November.
    10. Hang Yin & Yixiong Huang & Kuiming Wang, 2021. "How Do Environmental Concerns and Governance Performance Affect Public Environmental Participation: A Case Study of Waste Sorting in Urban China," IJERPH, MDPI, vol. 18(19), pages 1-16, September.
    11. Haoxuan Zheng & Xingwei Li & Xiaowen Zhu & Yicheng Huang & Zhili Liu & Yuxin Liu & Jiaxin Liu & Xiangye Li & Yuejia Li & Chunhui Li, 2022. "Impact of Recycler Information Sharing on Supply Chain Performance of Construction and Demolition Waste Resource Utilization," IJERPH, MDPI, vol. 19(7), pages 1-22, March.

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