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
刚刚
研友_Zrlk7L完成签到,获得积分10
刚刚
orixero应助alveraze采纳,获得10
刚刚
秋风今是发布了新的文献求助10
刚刚
XYZONE发布了新的文献求助10
刚刚
1秒前
1秒前
1秒前
2秒前
忧郁醉山发布了新的文献求助10
2秒前
谢朝邦完成签到 ,获得积分10
2秒前
烟花应助坚强的赛凤采纳,获得10
2秒前
wjswift完成签到,获得积分10
2秒前
蒸馏水应助调皮的一手采纳,获得30
3秒前
解冰凡完成签到,获得积分10
3秒前
monica-q完成签到 ,获得积分10
4秒前
动听千风完成签到,获得积分10
4秒前
共享精神应助静静采纳,获得10
5秒前
5秒前
yinyin完成签到,获得积分10
5秒前
苦涩油麦菜完成签到,获得积分10
6秒前
小菜鸟努力学完成签到,获得积分10
6秒前
科研通AI6.1应助柒号采纳,获得10
7秒前
善学以致用应助红枣枣枣采纳,获得10
7秒前
1230发布了新的文献求助10
8秒前
专一的凛完成签到,获得积分10
8秒前
xxq123发布了新的文献求助10
8秒前
Jasper应助qah采纳,获得10
8秒前
积极的中蓝完成签到,获得积分10
9秒前
9秒前
wanci应助song采纳,获得10
9秒前
YH完成签到,获得积分10
9秒前
9秒前
丘比特应助White.K采纳,获得10
9秒前
拾一完成签到,获得积分10
10秒前
无限的依凝完成签到,获得积分10
11秒前
科研通AI6.3应助柒号采纳,获得30
11秒前
坚强的赛凤完成签到,获得积分10
12秒前
Anne发布了新的文献求助10
12秒前
成就飞莲发布了新的文献求助10
12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
The SAGE Dictionary of Qualitative Inquiry 610
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
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 6345362
求助须知:如何正确求助?哪些是违规求助? 8159961
关于积分的说明 17160156
捐赠科研通 5401464
什么是DOI,文献DOI怎么找? 2860815
邀请新用户注册赠送积分活动 1838623
关于科研通互助平台的介绍 1688110