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

被引:89
|
作者
Long, Hongyu [1 ]
Liu, Hongyong [1 ]
Li, Xingwei [2 ,3 ]
Chen, Longjun [4 ]
机构
[1] Southwest Petr Univ, Sch Civil Engn & Geomat, Chengdu 610500, Peoples R China
[2] Sichuan Agr Univ, Coll Architecture & Urban Rural Planning, Chengdu 611830, Peoples R China
[3] Jiangsu Univ, Sch Management, Zhenjiang 212013, Jiangsu, Peoples R China
[4] Univ Sci & Technol Beijing, Inst Adv Mat & Technol, Beijing 100083, Peoples R China
基金
中国国家社会科学基金;
关键词
construction and demolition waste (CDW); supply chain management; green development performance (GDP); evolutionary game theory; construction industry; SUPPLY CHAIN; MANAGEMENT; SYSTEM;
D O I
10.3390/ijerph17176303
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:1 / 21
页数:20
相关论文
共 8 条
  • [1] Evolutionary Mechanism of Government Green Development Behavior in Construction and Demolition Waste Recycling Projects: A Perspective of Ecological Compensation
    Chen, Weihong
    Yin, Wenjun
    Yi, Beiyu
    Xu, Shiqi
    Zhang, Hao
    Li, Xingwei
    BUILDINGS, 2023, 13 (07)
  • [2] Mathematical Problems in Engineering Pharmaceutical Cold Chain Transportation Decision Making under the Government's Reward-Penalty Mechanism: A Perspective of Evolutionary Game Theory
    Yang, Zhengfan
    Zhao, Kai
    Guo, Qichang
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [3] The Recycling Strategy of Closed-Loop Supply Chain Considering CSR under the Government's Reward-Penalty Policy
    Song, Huaixi
    Li, Quanxi
    Liu, Kailing
    Li, Yi
    SUSTAINABILITY, 2022, 14 (21)
  • [4] Research on the Evolutionary Game of Construction and Demolition Waste (CDW) Recycling Units' Green Behavior, Considering Remanufacturing Capability
    Li, Xingwei
    Huang, Ruonan
    Dai, Jiachi
    Li, Jingru
    Shen, Qiong
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (17)
  • [5] Evolutionary Game Model of the Recycler and Manufacturer under the Chinese Government's Premium and Penalty Mechanism
    Zou, Caifeng
    Zhang, Chuan
    Feng, Tao
    Nie, Hongdi
    JOURNAL OF ENVIRONMENTAL ACCOUNTING AND MANAGEMENT, 2024, 12 (04) : 327 - 341
  • [6] Research on production-decision of automakers considering consumer’s low-carbon preference under the government reward-penalty mechanism
    Wang H.
    Yan X.
    Zhao D.
    Ge L.
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2023, 43 (09): : 2669 - 2684
  • [7] Considering Consumers' Green Preferences and Government Subsidies in the Decision Making of the Construction and Demolition Waste Recycling Supply Chain: A Stackelberg Game Approach
    Han, Yating
    Zheng, Haoxuan
    Huang, Yicheng
    Li, Xingwei
    BUILDINGS, 2022, 12 (06)
  • [8] Tripartite Evolutionary Game and Simulation Analysis of Coal Mining Safe Production Supervision under the Chinese Central Government's Reward and Punishment Mechanism
    Zhou, Kui
    Wang, Qi
    Tang, Junnan
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021