Strategic low-carbon technology supervision in the closed-loop supply chain: An evolutionary game approach

供应链 闭环 循环(图论) 业务 过程管理 博弈论 产业组织 运营管理 经济 工程类 微观经济学 营销 控制工程 数学 组合数学
作者
Fuli Zhou,Tianfu Chen,Ming K. Lim
出处
期刊:Journal of Cleaner Production [Elsevier]
卷期号:450: 141609-141609 被引量:2
标识
DOI:10.1016/j.jclepro.2024.141609
摘要

The low-carbon technology (LCT) implementation, regarded as a sustainable management practice, contributes to carbon reduction of production activities for manufacturing plants. The local government encourages manufacturers to adopt low-carbon technology for better realizing carbon neutrality and sustainable achievement by environmental regulations. However, it is not enough to only rely on governmental regulation. The supervision of the media on LCT adoption is also indispensable. Therefore, the multi-participants' supervision strategy on LCT is proposed to fill the gap, consisting of the government, manufacturer, and media. To help manufacturers perform low-carbon production, an evolutionary game model is formulated to investigate the strategic behaviors of involved tripartite participants. We disclose the evolution process of the manufacturer's LCT adoption decision under joint supervision-the government and media. Besides, the detailed influences of parameters such as the cost of LCT and carbon emission ratio on participants' strategies are explored to help better understand the involved participants' behaviors. The numerical results show that the manufacturer is more likely to adopt LCT under joint supervision. When the manufacturer could gain more benefits by adopting LCT, they would always choose to employ LCT even if there is no stimulus from the government and media. The information lied factor would reduce the degree of governmental supervision, which is not conducive to performing regulation responsibility for the government. This study examines the strategic supervision behaviors of multiple participants by formulating an evolutionary game model while giving support to decision-making management on LCT promotion for manufacturers.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
jjjjchou完成签到 ,获得积分10
2秒前
4秒前
lbx完成签到,获得积分10
4秒前
amonke007完成签到,获得积分10
4秒前
seedcui完成签到,获得积分10
5秒前
朱广聚完成签到,获得积分10
5秒前
Yihua完成签到,获得积分10
5秒前
NexusExplorer应助十月采纳,获得10
5秒前
隐形曼青应助羊咩咩采纳,获得10
6秒前
魔法师完成签到,获得积分10
8秒前
8秒前
DrW完成签到,获得积分10
8秒前
完美世界应助科研通管家采纳,获得30
8秒前
我是老大应助科研通管家采纳,获得10
8秒前
JamesPei应助科研通管家采纳,获得10
8秒前
霸气若菱发布了新的文献求助10
9秒前
三只眼小怪兽完成签到,获得积分10
9秒前
寒凌完成签到,获得积分10
9秒前
Master完成签到 ,获得积分10
11秒前
Earnestlee完成签到,获得积分10
11秒前
君君完成签到,获得积分10
11秒前
脑袋疼完成签到,获得积分10
11秒前
最强魔神完成签到,获得积分10
12秒前
bowler完成签到,获得积分10
12秒前
Raisin完成签到 ,获得积分10
12秒前
每天都很忙完成签到 ,获得积分10
13秒前
13秒前
月夙应助hongye采纳,获得10
14秒前
可爱的函函应助zzzj采纳,获得10
16秒前
温柔梦松完成签到 ,获得积分10
18秒前
Frain完成签到,获得积分10
20秒前
脆脆应答完成签到,获得积分10
21秒前
霸气若菱完成签到,获得积分10
21秒前
鹏826完成签到 ,获得积分10
21秒前
青青完成签到,获得积分10
22秒前
景平完成签到,获得积分10
22秒前
缓慢修杰完成签到,获得积分10
22秒前
TSY完成签到,获得积分10
23秒前
gugugaga完成签到,获得积分10
24秒前
烟花应助Frain采纳,获得10
24秒前
高分求助中
Handbook of Fuel Cells, 6 Volume Set 1666
Floxuridine; Third Edition 1000
Tracking and Data Fusion: A Handbook of Algorithms 1000
Sustainable Land Management: Strategies to Cope with the Marginalisation of Agriculture 800
消化器内視鏡関連の偶発症に関する第7回全国調査報告2019〜2021年までの3年間 500
One Man Talking: Selected Essays of Shao Xunmei, 1929–1939 500
Framing China: Media Images and Political Debates in Britain, the USA and Switzerland, 1900-1950 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 内科学 物理 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 冶金 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 2860802
求助须知:如何正确求助?哪些是违规求助? 2465871
关于积分的说明 6684494
捐赠科研通 2157114
什么是DOI,文献DOI怎么找? 1145935
版权声明 585087
科研通“疑难数据库(出版商)”最低求助积分说明 563114