Research on low-carbon technology diffusion among enterprises in networked evolutionary game

被引:9
|
作者
Wu, Yu'e [1 ]
Wang, Xinyu [1 ]
Liu, Zeyun [2 ]
Zhao, Xiukun [2 ]
机构
[1] Tianjin Univ Finance & Econ, Dept Financial Math, Tianjin 300222, Peoples R China
[2] Tianjin Univ Finance & Econ, Sch Management Sci & Engn, Tianjin 300222, Peoples R China
基金
中国国家自然科学基金;
关键词
Low-carbon technology diffusion; Low-carbon policy; Complex network; Evolutionary game theory; SUPPLY CHAIN MANAGEMENT; ENVIRONMENTAL-EDUCATION; ENERGY VEHICLES; GREEN; POLICIES; PERFORMANCE; INTENTIONS; CHINA; MODEL; SIMULATION;
D O I
10.1016/j.chaos.2023.113852
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The diffusion of low-carbon technologies (LCTs) is one of the important measures to mitigate carbon emissions. Local governments, enterprises, and consumers are crucial participants in the complex adaptive LCT diffusion system. In this context, this study builds an evolutionary game model based on a complex network comprised of three sub-networks, which respectively represent the connections of local governments, enterprises and consumers. Using this model, this research explores the impacts of homogeneous subsidies, heterogeneous subsidies, homogeneous carbon taxes, heterogeneous carbon taxes, targeted penalties, market demand, and policy mixes combined with these instruments on LCT diffusion. The results show that carbon taxes, subsidies, and penalties can all promote the diffusion of LCTs. The comprehensive effect of LCT diffusion brought by heterogeneous subsidies or carbon taxes is slightly better than those achieved by the fixed subsidy or the carbon tax equal to their respective mean values. Compared with pure carbon tax and subsidy policies, the mixed policy of introducing targeted fines brings a more obvious LCT diffusion effect. However, none of these policy interventions can achieve the complete spread of LCTs. Meanwhile, increasing the potential market demand for low-carbon products can achieve a very significant diffusion of LCTs. And when the proportion of white consumers reaches 0.9, the full proliferation of LCTs can be realized. This research develops a valuable framework that enriches the modeling practice of the diffusion of LCTs and provides insights for implementing well-designed policy packages.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] An evolutionary dynamical analysis of low-carbon technology diffusion among enterprises in the complex network
    Wu, Yu'e
    Liu, Zeyun
    Wang, Xinyu
    Zhang, Shuhua
    Feng, Jixin
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2024, 208
  • [2] Research on low-carbon diffusion considering the game among enterprises in the complex network context
    Wang, Lu
    Zheng, Junjun
    [J]. JOURNAL OF CLEANER PRODUCTION, 2019, 210 : 1 - 11
  • [3] Exploring the dynamics of low-carbon technology diffusion among enterprises: An evolutionary game model on a two-level heterogeneous social network
    Shi, Yingying
    Wei, Zixiang
    Shahbaz, Muhammad
    Zeng, Yongchao
    [J]. ENERGY ECONOMICS, 2021, 101
  • [4] Exploring the dynamic diffusion of low-carbon technology research and development among enterprises: Based on an evolutionary game model with a two-level heterogeneous social network
    Lou, Wen-qian
    Wu, Bin
    Chen, Feng
    Zhu, Bo-wen
    [J]. MANAGERIAL AND DECISION ECONOMICS, 2024,
  • [5] Evolutionary game analysis of low-carbon technology innovation diffusion under PPP mode in China
    Jia, Chong
    Zhang, Ruixue
    Wang, Dan
    [J]. PLOS ONE, 2022, 17 (12):
  • [6] Evolutionary game theoretic analysis on low-carbon strategy for supply chain enterprises
    Kang, Kai
    Zhao, Yujie
    Zhang, Jing
    Qiang, Chen
    [J]. JOURNAL OF CLEANER PRODUCTION, 2019, 230 : 981 - 994
  • [7] Government participation in low-carbon technology transfer: An evolutionary game study
    Zou, Chen
    Huang, Yongchun
    Hu, Shiliang
    Huang, Zhan
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2023, 188
  • [8] An evolutionary game model for low-carbon technology adoption by rival manufacturers
    Yang, Yuxiang
    Xie, Ying
    [J]. International Journal of Industrial and Systems Engineering, 2023, 45 (01) : 40 - 67
  • [9] Fractional-order evolutionary game of green and low-carbon innovation in manufacturing enterprises
    Jiang, Nan
    Feng, Yuqiang
    Wang, Xianjia
    [J]. ALEXANDRIA ENGINEERING JOURNAL, 2022, 61 (12) : 12673 - 12687
  • [10] Research on green technology marketing model based on dynamic evolutionary game under low-carbon background
    Zhu, Meihong
    Zhao, Li
    Li, Xiao
    Wang, Xinliang
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (54) : 82324 - 82335