已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Blockchain technology adoption for collaborative emission reduction considering carbon information asymmetry in supply chains

斯塔克伯格竞赛 供应链 信息共享 信息不对称 相互依存 计算机科学 产业组织 环境经济学 业务 微观经济学 经济 营销 财务 政治学 万维网 法学
作者
Xue‐Yan Wu,Xujin Pu
出处
期刊:Kybernetes [Emerald Publishing Limited]
卷期号:54 (6): 3460-3481 被引量:5
标识
DOI:10.1108/k-08-2023-1570
摘要

Purpose Collaborative emission reduction among supply chain members has emerged as a new trend to achieve climate neutrality goals and meet consumers’ low-carbon preferences. However, carbon information asymmetry and consumer mistrust represent significant obstacles. This paper investigates the value of blockchain technology (BCT) in solving the above issues. Design/methodology/approach A low-carbon supply chain consisting of one supplier and one manufacturer is examined. This study discusses three scenarios: non-adoption BCT, adoption BCT without sharing the supplier’s carbon emission reduction (CER) information and adoption BCT with sharing the supplier’s CER information. We analyze the optimal decisions of the supplier and the manufacturer through the Stackelberg game, identify the conditions in which the supplier and manufacturer adopt BCT and share information from the perspectives of economic and environmental performance. Findings The results show that adopting BCT benefits supply chain members, even if they do not share CER information through BCT. Furthermore, when the supplier’s CER efficiency is low, the manufacturer prefers that the supplier share this information. Counterintuitively, the supplier will only share CER information through BCT when the CER efficiencies of both the supplier and manufacturer are comparable. This diverges from the findings of existing studies, as the CER investments of the supplier and the manufacturer in this study are interdependent. In addition, despite the high energy consumption associated with BCT, the supplier and manufacturer embrace its adoption and share CER information for the sake of environmental benefits. Practical implications The firms in low-carbon supply chains can adopt BCT to improve consumers’ trust. Furthermore, if the CER efficiencies of the firms are low, they should share CER information through BCT. Nonetheless, a lower unit usage cost of BCT is the precondition. Originality/value This paper makes the first move to discuss BCT adoption and BCT-supported information sharing for collaborative emission reduction in supply chains while considering the transparency and high consumption of BCT.
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
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
学术文献互助应助siestaMiao采纳,获得200
2秒前
3秒前
小树苗发布了新的文献求助10
3秒前
4秒前
yyy发布了新的文献求助10
4秒前
6秒前
英俊的铭应助C1采纳,获得10
6秒前
风中若之完成签到,获得积分20
8秒前
鲨鱼辣椒发布了新的文献求助10
9秒前
zyb完成签到 ,获得积分10
10秒前
风中若之发布了新的文献求助10
11秒前
无花果应助溯棣采纳,获得10
11秒前
12秒前
我是老大应助远方采纳,获得10
12秒前
14秒前
C1发布了新的文献求助10
17秒前
没有昵称完成签到 ,获得积分10
18秒前
天才莫拉尔完成签到,获得积分10
18秒前
19秒前
19秒前
Mao完成签到,获得积分10
21秒前
ATX发布了新的文献求助20
22秒前
靓丽鞋垫完成签到,获得积分10
23秒前
lys发布了新的文献求助10
24秒前
Desperardo发布了新的文献求助10
26秒前
27秒前
科研通AI6.3应助务实水池采纳,获得10
27秒前
李健应助Rita采纳,获得10
28秒前
29秒前
Sei发布了新的文献求助10
29秒前
大模型应助跳跃采纳,获得10
29秒前
30秒前
远方发布了新的文献求助10
32秒前
32秒前
33秒前
34秒前
Ternura发布了新的文献求助10
36秒前
zyy发布了新的文献求助10
37秒前
白下江宁完成签到,获得积分10
38秒前
39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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Direct and Iterative Linear System Solvers 500
Plato's Parmenides. A Constructive Reading 500
Vander's Renal Physiology第10版 500
Poetics of Cognition 400
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7304158
求助须知:如何正确求助?哪些是违规求助? 8922258
关于积分的说明 18900974
捐赠科研通 6967646
什么是DOI,文献DOI怎么找? 3212078
关于科研通互助平台的介绍 2380918
邀请新用户注册赠送积分活动 2189302