印度大流行病期间的 "僵尸贷款":中央银行是否减少了对宽容的信贷错配担忧?

IF 3.5 2区 经济学 Q1 ECONOMICS Journal of Policy Modeling Pub Date : 2024-01-01 DOI:10.1016/j.jpolmod.2023.11.010
Prasenjit Chakrabarti, Jasmeet Kaur
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引用次数: 0

摘要

在 COVID-19 大流行期间,印度储备银行(RBI)采取了政策组合方法来维持印度银行系统的金融稳定。印度储备银行通过宽松的货币政策,结合贷款重组的临时宽限政策,对银行进行资本重组并注入流动性,以促进信贷增长并支持经济扩张。我们以僵尸贷款为重点,研究了这一政策组合在大流行病期间银行贷款渠道中的有效性。我们发现银行向非金融类上市公司提供了信贷增长。总体而言,我们几乎没有发现通过僵尸贷款对这些企业进行信贷错配的证据。随后,我们观察到对制造业和中小企业的僵尸贷款有所减少。然而,我们的结果显示,对高寻租行业的僵尸贷款大幅增加。我们发现,僵尸贷款并没有通过银行和行业拥堵渠道挤占健康贷款。我们的研究结果对政策制定者具有重要意义。具体而言,我们的研究结果表明,宽松的货币政策会减少对信贷错配的担忧。在缺乏货币政策支持的情况下,单纯的宽松政策可能会加剧不利影响。
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Zombie-lending during the pandemic in India: Did the Central Bank reduce credit misallocation concerns of forbearance?

During the COVID-19 pandemic, the Reserve Bank of India (RBI) undertook a policy mix approach to maintain financial stability in the Indian banking system. RBI recapitalized the banks and infused liquidity through accommodative monetary policies combined with temporary forbearance policies of restructuring loans to boost credit growth and support economic expansion. With a focus on zombie lending, we examine the effectiveness of this policy mix in bank lending channels during the pandemic. We find banks have extended credit growth to the non-financial listed firms. Broadly, we obtain little evidence of credit misallocation to these firms through zombie lending. Subsequently, we observe a decline in zombie lending to manufacturing and small and medium enterprises. However, our result shows a significant increase in zombie lending towards high rent-seeking industries. We witness that zombie lending does not crowd out healthy lending through the bank and industry congestion channels. The results of our study have significant implications for policymakers. Specifically, our findings suggest that accommodative monetary policy reduces credit misallocation concerns of forbearance. In the absence of monetary policy support, forbearance alone may exacerbate adverse effects.

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来源期刊
CiteScore
6.20
自引率
11.40%
发文量
76
期刊介绍: The Journal of Policy Modeling is published by Elsevier for the Society for Policy Modeling to provide a forum for analysis and debate concerning international policy issues. The journal addresses questions of critical import to the world community as a whole, and it focuses upon the economic, social, and political interdependencies between national and regional systems. This implies concern with international policies for the promotion of a better life for all human beings and, therefore, concentrates on improved methodological underpinnings for dealing with these problems.
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