金融与企业波动:来自中国小企业贷款的证据

Tao Chen, Yi Huang, Chen Lin, Zixia Sheng
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引用次数: 17

摘要

在线交易平台阿里巴巴为数百万中小微企业(MSMEs)提供金融科技(FinTech)信贷。利用新的日销售额数据集和控制信贷分配的内部信用评分阈值,我们应用模糊回归不连续设计(RDD)来探索信贷获取对企业波动的因果影响。我们发现,信贷获取显著降低了企业的销售波动性,而且对于可选择融资来源较少的企业,这种影响更强。我们进一步研究了企业退出概率,发现获得金融科技信贷的企业在未来破产或退出业务的可能性较小。额外的渠道测试表明,拥有金融科技信贷的公司在广告和产品/行业多样化方面的投资更多,特别是在商业低迷时期,这是获得信贷减少公司波动性的有效机制。总体而言,我们的研究结果有助于更好地理解金融科技信贷在中小微企业中的作用。本文被财经朱浩翔接受。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Finance and Firm Volatility: Evidence from Small Business Lending in China
The online trading platform Alibaba provides financial technology (FinTech) credit for millions of micro, small, and medium-sized enterprises (MSMEs). Using a novel data set of daily sales and an internal credit score threshold that governs the allocation of credit, we apply a fuzzy regression discontinuity design (RDD) to explore the causal effect of credit access on firm volatility. We find that credit access significantly reduces firm sales volatility and that the effect is stronger for firms with fewer alternative sources of financing. We further look at firm exit probability and find that firms with access to FinTech credit are less likely to go bankrupt or exit the business in the future. Additional channel tests reveal that firms with FinTech credit invest more in advertising and product/sector diversification, particularly during business downturns, which serves as effective mechanisms through which credit access reduces firm volatility. Overall, our findings contribute to a better understanding of the role of FinTech credit in MSMEs. This paper was accepted by Haoxiang Zhu, finance.
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