Financing Small and Medium-Size Enterprises via Retail Platforms

业务 中小企业 产业组织 财务
作者
Lingxiu Dong,Long Ren,Dennis Zhang
出处
期刊:Social Science Research Network [Social Science Electronic Publishing]
被引量:37
标识
DOI:10.2139/ssrn.3257899
摘要

Problem Definition: This paper studies the multifaceted impact of loan programs initiated by a retail platform to its sellers on these sellers' operational and financing decisions, profits of the sellers and the platform, as well as consumer welfare.Academic/Practical Relevance:Many small and medium-sized enterprises (SMEs) on retail platforms face capital constraints that limit their ability to meet market demand. Due to lack of sufficient asset and credit history, SMEs also face the challenge of securing loans from traditional banks. Therefore, the financial loan decisions of a retail platform to its SMEs have become an essential part of the platform design.Methodology: We develop a two-stage game-theoretic model where multiple SMEs who face financial constraints compete on a retail platform, and the platform decides how to offer financial loans to its SMEs.Results: We show that platform loan programs can greatly affect the platform's competitive landscape. Offering generous loans to competing sellers can make sellers worse-off in the equilibrium where they are willing to accept the loans -- a prisoner's dilemma. The platform can, by strategically choosing parameters of loan program (e.g., loan credit line, loan program coverage, or target required rate of return), reduce the intensity of the prisoner's dilemma for sellers in high or moderate need of funds, but can not fully eliminate the prisoner's dilemma.Managerial Implications: The research findings provide useful insights for retail platforms on how to offer financial loans to sellers based on understanding the potential incentive misalignment between the platform and its sellers. From a government perspective, our research also sheds light on the impact of a platform's loan decisions on consumer welfare and how such decisions should be regulated.
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
arui发布了新的文献求助10
刚刚
晓晓发布了新的文献求助30
1秒前
邓邓完成签到 ,获得积分10
1秒前
科研通AI6.1应助骆凤灵采纳,获得10
1秒前
orixero应助小石头采纳,获得50
2秒前
Momo01应助jane2020采纳,获得10
3秒前
xixia发布了新的文献求助10
3秒前
4秒前
科研通AI6.4应助zzz采纳,获得10
4秒前
5秒前
maxiangyu完成签到 ,获得积分10
5秒前
术俱伤应助mini采纳,获得20
6秒前
7秒前
满天星完成签到,获得积分10
7秒前
NINI完成签到,获得积分20
7秒前
Mengqi发布了新的文献求助10
7秒前
8秒前
科目三应助arui采纳,获得30
8秒前
chos1n发布了新的文献求助10
8秒前
栉娜方糖完成签到 ,获得积分10
9秒前
10秒前
dnaorange完成签到,获得积分10
10秒前
xin完成签到 ,获得积分10
10秒前
敬业乐群发布了新的文献求助10
10秒前
10秒前
现代绿蓉发布了新的文献求助10
10秒前
11秒前
研究牲发布了新的文献求助10
12秒前
13秒前
胖虎完成签到,获得积分10
14秒前
小石头发布了新的文献求助50
14秒前
15秒前
经友菱完成签到,获得积分10
15秒前
俏俏6325完成签到 ,获得积分10
16秒前
18秒前
Owen应助6036采纳,获得10
18秒前
18秒前
bbcsyk发布了新的文献求助10
18秒前
19秒前
CipherSage应助可爱山彤采纳,获得10
21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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
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 6347085
求助须知:如何正确求助?哪些是违规求助? 8161797
关于积分的说明 17167487
捐赠科研通 5403216
什么是DOI,文献DOI怎么找? 2861326
邀请新用户注册赠送积分活动 1839212
关于科研通互助平台的介绍 1688543