Do geographically nearby major customers mitigate suppliers’ stock price crash risk? |
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| Institution: | 1. Business School, Hunan University, Hunan Province, China;2. Renmin Business School, Renmin University of China, Beijing, China;1. University of Notre Dame Australia, Australia;2. University of Technology Sydney, Australia;1. School of Accounting, Southwestern University of Finance and Economics, Chengdu, 611130, China;2. School of Economics and Management, Harbin Institute of Technology, Shenzhen, 518055, China;3. Department of Accounting and Information Systems, Rutgers Business School-Newark and New Brunswick, Rutgers University, 1 Washington Square Park, Room #934, Newark, NJ, 07102, USA;4. Department of Finance and Economics, Rutgers Business School-Newark and New Brunswick, Rutgers University, 100 Rockafeller Road, Room #5135, Piscataway, NJ, 08854, USA;1. University of South Australia, Business, Adelaide, South Australia, SA, 5000, Australia;2. Universitas Mahasaraswati Denpasar, Bali, Indonesia;3. University of Pretoria, Department of Financial Management, Hatfield, 0028, South Africa;1. School of Economics and Business Administration, Saint Mary''s College of California, USA;2. College of Business, Hankuk University of Foreign Studies, South Korea;3. School of Accounting and Finance, Hong Kong Polytechnic University, Hong Kong;4. Barowsky School of Business, Dominican University of California, USA |
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| Abstract: | 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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| Keywords: | Geographic proximity Stock price crash risk Information disclosure quality Financial restatements Accounting conservatism G30 G32 G34 M4 Z13 |
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