Fuel consumption-reduction investment decisions and coordination contracts in fuel vehicle supply chains: A dynamic analysis

供应链 斯塔克伯格竞赛 燃料效率 利润(经济学) 激励 环境经济学 业务 微分博弈 投资(军事) 帕累托原理 产业组织 微观经济学 经济 运营管理 汽车工程 政治 数学优化 工程类 数学 营销 政治学 法学
作者
Chao Li,Yongxi Yi,Aoxiang Zhang,Biao Chen
出处
期刊:Energy Economics [Elsevier BV]
卷期号:125: 106799-106799
标识
DOI:10.1016/j.eneco.2023.106799
摘要

The share of carbon emissions from road transport is as high as 14% of global carbon emissions; fuel vehicles account for a significant part of these emissions. Therefore, there is a long way to reduce fuel consumption in fuel vehicles. We consider the government’s choice of two policies, Vehicle Carbon Emission Regulation (VCER) and Dual Credit Policy (DCP), to regulate the fuel vehicle supply chain and construct a Stackelberg differential game model for fuel consumption-reduction investment decision and operation coordination in a fuel vehicle supply chain consisting of one supplier and one manufacturer. Furthermore, we analyze the supply chain’s equilibrium strategies under centralized and decentralized decision scenarios. Finally, design a bilateral sharing contract to coordinate the supply chain and verify the theoretical analysis by numerical simulation. The results show that the DCP has a stronger incentive for fuel consumption reduction investment than the VCER; the supplier’s profit increases as the severity of the two policies increases, but the change in the manufacturer’s profit is not consistent under the two policies, where the increase in the penalty rate under the VCER decreases the manufacturer’s profit. However, it falls and then rises with tighter fuel consumption standards under the DCP. At the same time, the two-way cost-sharing contracts can encourage more fuel consumption reduction investments while increasing the profits of supply chain members, which is a Pareto improvement for the ecosystem and the supply chain parties.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
今后应助高贵绿真采纳,获得10
刚刚
Ava应助mariawang采纳,获得10
刚刚
刚刚
菜不透发布了新的文献求助10
1秒前
1秒前
纸猫发布了新的文献求助10
1秒前
2秒前
weiwei发布了新的文献求助10
2秒前
poli发布了新的文献求助10
3秒前
诚心尔琴发布了新的文献求助10
4秒前
4秒前
fgh完成签到,获得积分20
4秒前
CipherSage应助科研通管家采纳,获得10
5秒前
CAOHOU应助科研通管家采纳,获得10
5秒前
NexusExplorer应助科研通管家采纳,获得10
5秒前
SYLH应助科研通管家采纳,获得10
5秒前
英俊的铭应助科研通管家采纳,获得10
5秒前
Akim应助科研通管家采纳,获得10
5秒前
SYLH应助科研通管家采纳,获得10
5秒前
5秒前
CodeCraft应助科研通管家采纳,获得10
6秒前
乐乐应助科研通管家采纳,获得10
6秒前
爱听歌芝麻完成签到,获得积分10
6秒前
FashionBoy应助科研通管家采纳,获得10
6秒前
峥2发布了新的文献求助10
6秒前
上官若男应助科研通管家采纳,获得10
6秒前
musejie应助科研通管家采纳,获得10
6秒前
丘比特应助科研通管家采纳,获得10
6秒前
李爱国应助科研通管家采纳,获得10
6秒前
6秒前
ding应助科研通管家采纳,获得10
6秒前
1111应助科研通管家采纳,获得20
6秒前
7秒前
彭于彦祖应助科研通管家采纳,获得30
7秒前
wanci应助科研通管家采纳,获得10
7秒前
田様应助科研通管家采纳,获得10
7秒前
7秒前
Akim应助ll采纳,获得10
7秒前
科研通AI2S应助科研通管家采纳,获得10
7秒前
我是老大应助ll采纳,获得10
7秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3988786
求助须知:如何正确求助?哪些是违规求助? 3531116
关于积分的说明 11252493
捐赠科研通 3269766
什么是DOI,文献DOI怎么找? 1804771
邀请新用户注册赠送积分活动 881870
科研通“疑难数据库(出版商)”最低求助积分说明 809021