Climate risk, soft information and credit supply

Laura Álvarez-Román, Sergio Mayordomo, Carles Vergara-Alert, Xavier Vives
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Abstract

We study a model of the impact of climate risk on credit supply and test its predictions using data on all wildfires and corporate loans in Spain. Our findings reveal a significant decrease in credit following climate-driven events. This result is driven by outsider banks (large and diversified), which reduce lending significantly to firms in affected areas. By contrast, due to their access to soft information, local banks (geographically concentrated) reduce their loans to opaque affected firms to a lesser extent without increasing their risk. We also find that employment decreases in affected areas where local banks are not present.
气候风险、软信息和信贷供应
我们研究了气候风险对信贷供应影响的模型,并使用西班牙所有野火和企业贷款的数据对其预测进行了检验。我们的研究结果表明,气候事件发生后,信贷大幅减少。造成这一结果的原因是外部银行(大型银行和多元化银行)大幅减少了对灾区企业的贷款。相比之下,本地银行(地理位置集中)由于能够获得软信息,在不增加风险的情况下,对不透明的受影响企业的贷款减少幅度较小。我们还发现,在没有本地银行的受影响地区,就业率也会下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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