Financing and carbon emission reduction strategies of capital-constrained manufacturers in E-commerce supply chains

财务 业务 内部融资 模式(计算机接口) 产业组织 首都(建筑) 信息不对称 计算机科学 历史 操作系统 考古
作者
Juanjuan Qin,FU Hui-ping,Ziping Wang,Liangjie Xia
出处
期刊:International Journal of Production Economics [Elsevier BV]
卷期号:241: 108271-108271 被引量:109
标识
DOI:10.1016/j.ijpe.2021.108271
摘要

In this paper, a manufacturer is considered who is regulated by the cap-and-trade scheme and sells products on an e-business (EB) platform. When this manufacturer is capital-constrained, funds can be accessed via EB platform financing mode, supplier credit financing mode, and mixed financing mode, where the manufacturer accesses funds from both the supplier and the EB platform. Considering the exogenous retail price, this paper develops optimizing models under all three financing modes to investigate the manufacturer's emission reduction, production quantities, and financing strategies. The financing strategy of a slightly capital-constrained manufacturer depends on the usage fee charged by the EB platform. The manufacturer prefers non-financing support if the usage fee rate is too high; otherwise, the manufacturer prefers accessing funds from the EB platform. A moderately capital-constrained manufacturer prefers EB platform financing if the financing rate charged by the EB platform financing is slightly higher than that charged by the supplier. Also, a moderately capital-constrained manufacturer prefers EB platform financing if the usage fee rate is relatively low; otherwise, supplier credit financing is preferred. Furthermore, a heavily capital-constrained manufacturer prefers mixed financing if the financing rate charged by the EB platform is higher than that charged by the supplier; otherwise, the manufacturer prefers EB platform financing. When the usage fee is endogenous, the EB platform financing mode is better than the non-financing mode for both the capital-constrained manufacturer and the EB platform. Furthermore, the above conclusions are robust when the retail price is endogenous.
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
GOAT_MESSI完成签到,获得积分10
1秒前
iwgysctss完成签到 ,获得积分10
1秒前
1秒前
liz发布了新的文献求助10
4秒前
调皮的皓轩完成签到,获得积分10
4秒前
RATHER完成签到,获得积分10
4秒前
Hello应助第九个黑夜采纳,获得10
5秒前
Auba发布了新的文献求助10
6秒前
7秒前
7秒前
内向的小凡完成签到,获得积分0
7秒前
英俊的铭应助fanli采纳,获得10
10秒前
10秒前
DDDD发布了新的文献求助30
10秒前
Orange应助Sodaz采纳,获得10
14秒前
14秒前
Rosslyn完成签到,获得积分10
14秒前
shadow发布了新的文献求助10
15秒前
15秒前
15秒前
碧蓝世立发布了新的文献求助10
16秒前
曾祥完成签到,获得积分10
17秒前
17秒前
cdercder应助Tong采纳,获得10
17秒前
科研通AI6.1应助1111采纳,获得10
17秒前
David完成签到,获得积分10
18秒前
Chloe完成签到,获得积分10
18秒前
呋喃发布了新的文献求助10
19秒前
乐空思应助Mia采纳,获得20
19秒前
西瓜完成签到 ,获得积分10
19秒前
19秒前
咕噜咕噜完成签到,获得积分20
20秒前
天鹅有罪发布了新的文献求助10
20秒前
21秒前
杨飒完成签到,获得积分20
21秒前
21秒前
清溪发布了新的文献求助10
21秒前
22秒前
huayu完成签到 ,获得积分10
22秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Burger's Medicinal Chemistry and Drug Discovery 400
A Step-by-Step Guide to Qualitative Data Coding 2nd Edition 400
Impact of Storage Orientation and Duration on Prefilled Syringe Performance: Break-Loose and Glide Forces, and Injection Time Across Multiple Time Points 360
Programming for Chemical Engineers Using C, C++, and MATLAB 300
Upland Kenya wild flowers and ferns: a flora of the flowers, ferns, grasses, and sedges of highland Kenya 300
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 6668237
求助须知:如何正确求助?哪些是违规求助? 8417360
关于积分的说明 17993698
捐赠科研通 5876446
什么是DOI,文献DOI怎么找? 2976801
邀请新用户注册赠送积分活动 1952717
关于科研通互助平台的介绍 1880692