绿色洗涤
认证
作弊
进化稳定策略
业务
公司治理
共谋
质量(理念)
环境经济学
选择(遗传算法)
博弈论
风险分析(工程)
产业组织
计算机科学
经济
微观经济学
持续性
生态学
生物
财务
哲学
管理
认识论
人工智能
作者
Changyu Liu,Yadong Song,Wei Wang,Xunpeng Shi
出处
期刊:Applied Energy
[Elsevier]
日期:2023-03-01
卷期号:333: 120498-120498
被引量:22
标识
DOI:10.1016/j.apenergy.2022.120498
摘要
Greenwashing seriously undermines the efforts toward a low carbon economy, and distorts quality information for green products including electric vehicles (EVs). However, it remains unclear how greenwashing behaviors (GWBs) can effectively be governed. Considering the formation mechanism of GWBs and collusion in EV certification processes, we constructed a tripartite evolutionary game model based on strategic interactions among manufacturers, certification authorities, and governments. Subsequently, we investigated the evolutionarily stable strategies (ESSs) and corresponding conditions of each game player and then conducted a simulation to explore the participants’ system equilibrium interactions. We also evaluated vital factor changes in three stakeholders’ decision-making, including initial strategy selection, the related cost, penalty, and reward. The results demonstrate that 1) the initial strategy selection is critical to the evolution of equilibrium strategies; 2) appropriate reward and punishment mechanisms can affect decision-making speed, which takes less time to reach stable evolution, and 3) related costs are acritical factors for every player in strategy selection. High supervision costs are severe impediments to governments aiming to enforce regulations, but lower certification and production costs could prompt manufacturers and certification authorities to choose appropriate strategies. This paper provides a theoretical explanation for GWBs, makes constructive suggestions for preventing manufacturers’ greenwashing, and sheds new light on an effective governance model for EVs.
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