业务
撞车
样品(材料)
倾向得分匹配
库存(枪支)
保守主义
稳健性(进化)
匹配(统计)
精算学
计量经济学
经济
地理
计算机科学
统计
色谱法
数学
政治学
基因
法学
政治
生物化学
化学
考古
程序设计语言
作者
Feng Cao,Xueyan Zhang,Rongli Yuan
标识
DOI:10.1016/j.bar.2022.101118
摘要
This study examines the impact of geographically nearby major customers on suppliers' stock price crash risk. Using a sample of Chinese A-share listed firms and their top five (major) customers during the period 2008–2019, we find a significantly negative association. This association is robust in a series of robustness checks, including the use of instrumental variables estimations, propensity score matching procedure, and Heckman two-step sample selection model. The mitigating effect of supplier−customer proximity on crash risk is more pronounced for suppliers with lower corporate transparency and greater operational uncertainty. Finally, we identify two possible mechanisms through which geographically nearby major customers reduce suppliers’ crash risk: fewer financial restatements and higher accounting conservatism of suppliers. The findings of this study indicate that listed firms may choose geographically nearby customers to reduce crash risk.
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