Low-carbon transition pathways in the context of carbon-neutral: A quadrilateral evolutionary game analysis

背景(考古学) 碳纤维 声誉 文件夹 环境经济学 微观经济学 业务 计算机科学 产业组织 经济 生物 古生物学 政治学 算法 复合数 法学 财务
作者
Tao Tian,Shuhui Sun
出处
期刊:Journal of Environmental Management [Elsevier BV]
卷期号:322: 116105-116105 被引量:15
标识
DOI:10.1016/j.jenvman.2022.116105
摘要

In the context of carbon-neutral, countries are urging a social-wide transition to decarbonization. However, the efficiency of this transition has not been as expected due to the game of benefits among relevant players. Here, we develop a quadrilateral evolutionary game model that highlights the complex interactions at a multi-player level, including producers, regulators, third-party certifiers, and consumers, in order to analyze evolutionary pathways and stable strategies. Our results suggest that: (1) there are significant correlations among the quadrilateral game players, and the benign interactions among them will effectively drive the social-wide low-carbon transition; (2) if consumers have higher low-carbon preferences, producers will be attracted to actively choose the low-carbon transition strategy, which may form a stable portfolio strategy; (3) proper interventions, such as reducing transition costs, increasing reputation loss, and raising consumers’ whistle-blowing abilities, can help promote the systematic evolution to the low-carbon state; and (4) rent-seeking behavior between producers and third-party certifiers should be strongly monitored by regulators, and higher penalties can prevent their duty dereliction. These findings provide significant implications for policy-makers to make better-informed decisions about the social-wide low-carbon transition in the context of carbon-neutral.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
仁爱海蓝完成签到,获得积分20
刚刚
刚刚
baiyuecheng发布了新的文献求助10
刚刚
淡定吃吃发布了新的文献求助10
刚刚
CC完成签到 ,获得积分10
刚刚
zhangj完成签到 ,获得积分10
1秒前
1秒前
笑笑完成签到,获得积分10
1秒前
无所吊谓发布了新的文献求助20
1秒前
怕黑的白玉完成签到,获得积分10
1秒前
rong774完成签到,获得积分10
1秒前
2秒前
香蕉觅云应助look采纳,获得10
2秒前
2秒前
2秒前
MR_Z完成签到,获得积分10
2秒前
ilmiss完成签到,获得积分20
2秒前
Zzhn发布了新的文献求助10
3秒前
3秒前
Voloid完成签到,获得积分10
4秒前
4秒前
4秒前
Orange应助糊涂的傲蕾采纳,获得10
4秒前
kk完成签到,获得积分10
5秒前
土豪的麦片完成签到,获得积分10
5秒前
5秒前
JamesPei应助淡淡天宇采纳,获得10
5秒前
jy完成签到,获得积分10
5秒前
YOUNG完成签到,获得积分10
5秒前
高贵的映安完成签到,获得积分10
5秒前
5秒前
6秒前
bdfrjinnb发布了新的文献求助30
6秒前
张斯宁完成签到 ,获得积分10
6秒前
郭郭郭完成签到,获得积分10
6秒前
人间失弛关注了科研通微信公众号
6秒前
无极微光应助好人采纳,获得20
7秒前
Mythic完成签到,获得积分10
7秒前
7秒前
7秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 600
Bounds for Statistical Estimation in Semiparametric Models 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6499675
求助须知:如何正确求助?哪些是违规求助? 8295113
关于积分的说明 17701909
捐赠科研通 5596170
什么是DOI,文献DOI怎么找? 2918093
邀请新用户注册赠送积分活动 1895164
关于科研通互助平台的介绍 1755987