Dynamic reward and penalty strategies of green building construction incentive: an evolutionary game theory-based analysis

被引:0
|
作者
Qingfeng Meng
Yingying Liu
Zhen Li
Changzhi Wu
机构
[1] Jiangsu University,School of Management
[2] Guangzhou University,School of Management
关键词
Green building construction; Dynamic reward and penalty; Prospect theory; Evolutionary game;
D O I
暂无
中图分类号
学科分类号
摘要
Green building incentives are widely adopted in the world to promote green building construction. However, the incentives from the government are usually predetermined, which cannot obtain a stable effect in green construction practice. To better promote green building construction, this paper studies dynamic government’s reward and penalty evolution during the construction process. Based on the prospect theory, the decision of government reward and penalty is formulated as evolutionary game model under four different scenarios: static reward and static penalty, dynamic reward and static penalty, static reward and dynamic penalty, and dynamic reward and dynamic penalty. Through theoretical analysis, our results revealed that the dynamic reward and static penalty is the best strategy to promote green building construction. More specifically, if the intensity of subsidy and penalty increases, contractors tend to green construction; while the probability of active supervision by government is inversely proportional to subsidy and positively proportional to penalty. This study can provide a useful insight for the policy makers to formulate effective reward and penalty policy, thereby standardizing the behavior of contractors, and reducing the negative impact of the construction industry on the environment.
引用
收藏
页码:44902 / 44915
页数:13
相关论文
共 50 条
  • [31] Coevolution mechanisms of stakeholder strategies in the green building technologies innovation ecosystem: An evolutionary game theory perspective
    Zhao, Rui
    Peng, Li
    Zhao, Yanling
    Feng, Yingbin
    ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2024, 105
  • [32] Evolutionary Game Simulation on Government Incentive Strategies of Prefabricated Construction: A System Dynamics Approach
    Cheng, Baoquan
    Wei, Yuhu
    Zhang, Wei
    Zhou, Xintao
    Chen, Huihua
    Huang, Lipeng
    Huang, Jianling
    Kang, Xiaofang
    COMPLEXITY, 2020, 2020 (2020)
  • [33] Evolutionary game analysis of green building demand side based on profit risk
    Huang, Dingxuan (huangdingxuan@126.com), 2017, Chinese Society of Civil Engineering (50):
  • [34] Exploring effective incentive policies for sustainable development of green buildings in China: based on evolutionary game theory and numerical simulation analysis
    Fan, Chunmei
    Li, Xiaoyue
    ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, 2024,
  • [35] Game Theory-Based Incentive Design for Mitigating Malicious Behavior in Blockchain Networks
    Mssassi, Souhail
    El Kalam, Anas Abou
    JOURNAL OF SENSOR AND ACTUATOR NETWORKS, 2024, 13 (01)
  • [36] Game Theory-Based Minimization of the Ostracism Risk in Construction Companies
    Kifokeris, Dimosthenis
    Xenidis, Yiannis
    SUSTAINABILITY, 2021, 13 (12)
  • [37] Exploring the adoption of blockchain in modular integrated construction projects: A game theory-based analysis
    Zhang, Pan
    Wu, Haitao
    Li, Heng
    Zhong, Botao
    Fung, Ivan W. H.
    Lee, Yiu Yin Raymond
    JOURNAL OF CLEANER PRODUCTION, 2023, 408
  • [38] Evolutionary game theory analysis of IPR infringement based on duplicative dynamic
    He, Xue-Feng
    Bing-Zeng
    Jiu, Li-Li
    BioTechnology: An Indian Journal, 2013, 8 (10) : 1425 - 1430
  • [39] Punishment or reward? Strategies of stakeholders in the quality of photovoltaic plants based on evolutionary game analysis in China
    Zhang, Minhui
    Zhang, Qin
    Zhou, Dequn
    Wang, Lei
    ENERGY, 2021, 220
  • [40] Evolutionary Game Theory-Based Optimal Scheduling Strategy for Heterogeneous Computing
    She, Rui
    Zhao, Wei
    IEEE ACCESS, 2023, 11 : 49549 - 49560