Government Lending as a Tool to Mitigate the Effect of Asymmetric Information

Author:

Park Sangkyun1ORCID

Affiliation:

1. Independent

Abstract

This paper analyzes the effect of asymmetric information on investment efficiency and the ways in which government credit can mitigate the inefficiency caused by asymmetric information. The focus is on credit rationing. In the model, the project return and the project risk are assumed to be independent random variables. Under this assumption, asymmetric information produces two types of inefficiency: exclusion of good borrowers and inclusion of bad borrowers. Using a subsidy, the government can improve the composition of borrowers (average project return) in the sector where information is opaque (opaque sector) and increase the volume of loans in the opaque sector. The best way to improve investment efficiency is that the government sets the lending rate above the profit-maximizing level (lower lending rate adjusted for the default rate), bids up the funding rate to raise more loan funds, and makes up the difference between the high funding rate and the low adjusted lending rate with a subsidy. A subsidized loan guarantee covering a moderate portion of loan losses can produce similar outcomes. This result is a dramatic deviation from the conventional notion of a subsidized loan, which almost automatically means a lower lending rate.

Publisher

SAGE Publications

Subject

Public Administration,Economics and Econometrics,Finance

Reference22 articles.

1. Collateral and Rationing: Sorting Equilibria in Monopolistic and Competitive Credit Markets

2. Financial intermediary-coalitions

3. Calomiris Charles W., Himmelberg Charles P. 1995. “Government Credit Policy and Industrial Performance (Japanese Machine Tool Producers, 1963–91).” Policy Research Working Paper 1434, The World Bank.

4. Asymmetric Valuations and the Role of Collateral in Loan Agreements

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3