Battery recycling models selection and contractual incentives: From an information sharing perspective

斯塔克伯格竞赛 业务 激励 信息共享 收入 电池(电) 产业组织 市场份额 竞赛(生物学) 电动汽车 收入分享 环境经济学 财务 经济 微观经济学 计算机科学 功率(物理) 物理 量子力学 生态学 万维网 生物
作者
Lin Feng,Mengru Qu,Adolf K.Y. Ng,Peng Jia,Haibo Kuang
出处
期刊:Journal of Cleaner Production [Elsevier BV]
卷期号:462: 142701-142701 被引量:11
标识
DOI:10.1016/j.jclepro.2024.142701
摘要

As the battery recycling market in China is still in its early stages of development, the mechanisms, channels, pricing, and efficiency of battery recycling are shrouded in opacity. Battery recycling in China is currently dominated by electric vehicle manufacturer, supplemented by other market players such as battery producers and electric vehicle retailers. Due to the lack of information, battery recycling lacks cooperation and communication, and the whole market is dealing with "Information Island." Therefore, based on information sharing and channel competition, this paper designs a Stackelberg game model with an electric vehicle manufacturer, an electric vehicle retailer, and a third-party recycler as the primary participants. This paper finds effective information sharing can reduce intensified market competition and promote the transformation of market players into "collaboration state". To promote partnership in the battery recycling market, this paper proposes a revenue-sharing contract incentive for the electric vehicle retailer to share demand information about battery recycling. This paper finds a revenue-sharing contract based on information sharing can help companies and competitors make appropriate behavioral choices in the battery recycling market. This study demonstrates that information sharing benefits the electric vehicle manufacturer and the third-party recycler while offering no advantages to the electric vehicle retailer. The decreasing accuracy of demand signals results in the diminishing value of information sharing for the electric vehicle manufacturer and the third-party recycler. The revenue-sharing contract can incentivize the electric vehicle retailer to share information to a certain extent.
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
1秒前
大椒完成签到 ,获得积分0
1秒前
KevinL发布了新的文献求助10
1秒前
Zkun完成签到,获得积分10
1秒前
东方元语应助fgl采纳,获得20
1秒前
荷包蛋完成签到,获得积分20
2秒前
Ava应助可爱的豆芽采纳,获得10
2秒前
研友_8DoPDZ完成签到,获得积分10
2秒前
molihuakai应助kk采纳,获得10
2秒前
3秒前
CC发布了新的文献求助10
3秒前
3秒前
3秒前
masirui应助安安采纳,获得10
4秒前
笨笨发布了新的文献求助10
4秒前
4秒前
4秒前
Mia完成签到,获得积分10
4秒前
5秒前
科研通AI6.2应助背后的纹采纳,获得10
5秒前
丸子顺利毕业完成签到,获得积分10
5秒前
6秒前
冷傲的冰露完成签到,获得积分10
6秒前
传奇3应助ljlcyx采纳,获得10
6秒前
rj完成签到 ,获得积分10
7秒前
7秒前
littlepig完成签到,获得积分10
7秒前
7秒前
7秒前
7秒前
xuxiaoyan发布了新的文献求助10
8秒前
时翎发布了新的文献求助10
8秒前
8秒前
我是老大应助CC采纳,获得10
9秒前
9秒前
背后的小白菜完成签到,获得积分10
9秒前
10秒前
Clement洋发布了新的文献求助10
10秒前
wanci应助HZZ采纳,获得10
10秒前
10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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 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 7622993
求助须知:如何正确求助?哪些是违规求助? 9198342
关于积分的说明 19718354
捐赠科研通 7194364
什么是DOI,文献DOI怎么找? 3273096
关于科研通互助平台的介绍 2435507
邀请新用户注册赠送积分活动 2268670