Strategic Trade Credit in a Supply Chain with Buyer Competition

微观经济学 贸易信贷 业务 利润(经济学) 供应链 提交 付款 市场支配力 贷款 经济 产业组织 垄断 营销 财务 计算机科学 数据库
作者
Jie Ning
出处
期刊:Manufacturing & Service Operations Management [Institute for Operations Research and the Management Sciences]
卷期号:24 (4): 2183-2201 被引量:19
标识
DOI:10.1287/msom.2022.1103
摘要

Problem definition: In practice, trade credit (TC) is often offered in a contract that stipulates a single, fixed interest, rather than an interest menu contingent on the loan amount. We examine why a supplier uses such a single-interest contract and why a buyer who can access perfect external capital (EC) with contingent interest may use TC, when the supplier does not share the buyer’s demand risk. Methodology/results: We solve a dynamic game between a supplier and two buyers, who have access to EC and compete in a Cournot game in the product market. We show that the single-interest contract incentivizes a buyer to order more. Thus, such a contract benefits the supplier and makes TC a strategic device for buyers to commit to competing aggressively. Opposite to well-known results, we show that buyers may benefit from using strategic TC, because their access to EC gives them strong pricing power that yields sufficiently low wholesale price. The entire supply chain also benefits because the over-ordering distortion under TC mitigates the under-ordering problem caused by double marginalization. Managerial implications: Our analysis implies that, to weaken buyers’ pricing power and improve profit, the supplier should offer cheap TC—for example, in net terms to—financially resourceful buyers and expensive TC—for example, with early payment discount—to financially constrained buyers, as observed in practice. We find strategic TC to yield increasingly more benefit for the supplier as its production cost decreases and may allow the buyer to maximize its payoff at an intermediate consumers’ willingness-to-pay that leads to strong pricing power and low wholesale price.
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
科学家完成签到,获得积分10
刚刚
1秒前
1秒前
2秒前
高贵香完成签到,获得积分20
4秒前
榴莲姑娘发布了新的文献求助10
5秒前
yu发布了新的文献求助10
6秒前
muderder完成签到,获得积分10
6秒前
番茄不酸应助笨笨中心采纳,获得10
6秒前
刘鹏宇发布了新的文献求助10
6秒前
6秒前
晴天完成签到,获得积分20
7秒前
yan1994完成签到,获得积分10
8秒前
丘比特应助llll采纳,获得10
9秒前
10秒前
10秒前
科研通AI5应助高贵香采纳,获得10
10秒前
积极亦云完成签到,获得积分10
10秒前
榴莲姑娘完成签到,获得积分10
12秒前
大个应助yan1994采纳,获得10
13秒前
ppp发布了新的文献求助10
13秒前
ttianyukuai发布了新的文献求助10
14秒前
大个应助yu采纳,获得10
15秒前
15秒前
18秒前
18秒前
Diand2Yingy完成签到,获得积分10
19秒前
龙共完成签到,获得积分10
19秒前
威武皮带完成签到,获得积分10
20秒前
于瑜与余发布了新的文献求助10
21秒前
CodeCraft应助可靠的寒风采纳,获得10
22秒前
bfr发布了新的文献求助10
23秒前
鱼鱼发布了新的文献求助10
24秒前
111111完成签到,获得积分10
24秒前
Catalina_S应助吴雨峰采纳,获得10
25秒前
任性的咖啡完成签到,获得积分10
25秒前
ttianyukuai完成签到,获得积分10
25秒前
Hello应助皮皮的鹿采纳,获得10
27秒前
28秒前
28秒前
高分求助中
Continuum Thermodynamics and Material Modelling 2000
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
Seven new species of the Palaearctic Lauxaniidae and Asteiidae (Diptera) 400
Nonhuman Primate Models in Biomedical Research: State of the Science and Future Needs 300
Fundamentals of Medical Device Regulations, Fifth Edition(e-book) 300
A method for calculating the flow in a centrifugal impeller when entropy gradients are present 240
A proof-of-concept study on a universal standard kit to evaluate the risks of inspectors for their foundational ability of visual inspection of injectable drug products 200
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3696539
求助须知:如何正确求助?哪些是违规求助? 3248431
关于积分的说明 9857290
捐赠科研通 2959797
什么是DOI,文献DOI怎么找? 1622942
邀请新用户注册赠送积分活动 768362
科研通“疑难数据库(出版商)”最低求助积分说明 741511