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金融研究  2019, Vol. 470 Issue (8): 77-95    
  本期目录 | 过刊浏览 | 高级检索 |
老赖越多,贷款越难?——来自地区诚信水平与上市公司银行借款的证据
戴亦一, 张鹏东, 潘越
厦门大学管理学院/经济学院,福建厦门 361005
The Role of Honesty in Public Firms' Bank Loans: Evidence from China
DAI Yiyi, ZHANG Pengdong, PAN Yue
School of Management, Xiamen University;School of Economy, Xiamen University
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摘要 本文首次利用最高人民法院发布的失信被执行人数据(俗称“老赖”)度量地区诚信水平,并以2003—2014年A股上市公司为样本实证检验地区诚信水平对上市公司银行借款比例的影响。研究发现,相比诚信水平较高的地区,上市公司在失信环境下能够获得更多的银行借款。机制检验的结果表明,上市公司信息透明度更高、受外部监督更多,能够缓解失信环境下企业违约风险的提高。进一步研究还发现,当银行作为原告方的诉讼中“老赖”比例越高时,失信环境对上市公司银行借款比例的作用更加显著;而当企业遭遇行业危机或企业所在城市信用体系建设相对完备时,地区诚信水平的影响会被削弱。该结论在经过一系列内生性和稳健性检验之后,依然成立。本文从银企借贷的视角解释了地区诚信水平对企业融资和发展的作用,也为企业获取信贷资源、缓解融资难问题提供了可行路径。
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戴亦一
张鹏东
潘越
关键词:  地区诚信水平  信息透明  外部监督  银行借款    
Summary:  Honesty can be considered an important lubricant in business relationships. Although modern institutions are designed to control cheating, in many situations, only intrinsic honesty keeps people from violating rules. A growing body of research on honesty and corporate finance has documented that honesty reduces firms' misconduct and improves their performance, and that firms that cheat in transactions might lose cooperative relationships, and even go bankrupt.
   Information asymmetry in economic transactions makes honesty more important, especially in situations such as banks' credit allocation, where firms have full information about their collateral but banks do not. The default risk faced by banks dramatically increases if firms are dishonest, which causes discrimination in banks' credit allocation. This study examines the role of honesty in banks' credit allocation. Specifically, we investigate whether different levels of regional honesty affect bank loans to public firms.
   There are two common methods for measuring honesty: surveys and text analysis. However, measurement bias arises in both of these methods. First, respondents are more likely to be honest in surveys. Second, the “honesty” advocated by enterprises can be easily imitated. In this study, we construct a new variable based on the data on deadbeat borrowers (“Laolai” in Chinese) disclosed by the Supreme People's Court of China. We argue that the deadbeat data are less biased than survey and text analysis data for two reasons. First, although survey responses have no cost, the behaviors of deadbeats—that is, refusing to implement court judgments—are real decisions with severe costs. Second, the banks allocating credit are also the main participants in lawsuits against deadbeats, therefore these lawsuits offer insights into regional honesty levels in banking relationships.
   We argue that public firms operating in dishonest environments will receive more credit from banks for two reasons. First, all of the firms operating in dishonest environments, public or private, are more likely to act dishonesty due to the low costs. Second, as public firms have more information transparency and external supervision, they can obtain more credit in a dishonest environment.
   We test this conjecture using a sample of all of the firms listed on the Shanghai and Shenzhen securities exchanges for the 2003 to 2014 period. The results support our hypothesis, showing that for each 1% decrease in regional honesty level there is a 1.83% increase in public firms' bank loans (over assets). To deal with the endogeneity issues, we control for possible omitted variables related to honesty at the regional level by using two instrument variables: “area of rice plantings in 1978” and “the number of temples within 200 km of public firms.” We construct a PSM-DID model based on firms' relocation events. Our conclusions remain robust.
   To provide direct evidence, we further investigate whether the relationship between regional honesty levels and public firms' bank loan varies among firms with different levels of transparency and supervision. We find that the relationship between honesty and credit is strengthened by firms' credibility, measured by higher transparency and more supervision. We also document that the percentage of deadbeats in lawsuits where the plaintiff is a bank strengthens the relationship between regional honesty and firms' loans. However, the effect of regional honesty on firms' bank loan is weaker during an industry crisis and in cities with better social credit systems. We also find that banks react to dishonest environments by shortening the loan maturity and increasing the amount of collateral required.
   Our study contributes to the literature in the following ways. First, we examine the role of honesty in the economy. Unlike previous studies of the impact of honesty on firms' behavior and performance, we study the role of honesty in banks' credit allocation. Second, we contribute to the literature on corporate financing. Our study provides new evidence that firms can facilitate their financing by improving information transparency and introducing external supervision, especially private and small enterprises.
Keywords:  Regional Honesty    Transparency    Supervision    Bank Loan
JEL分类号:  G21   G32   O17  
基金资助: * 作者感谢国家自然科学基金(71572158,71772155)项目、中组部青年拔尖人才项目和中央高校基本科研业务费专项资金(20720171002)对本研究的支持。
作者简介:  戴亦一,经济学博士,教授,厦门大学管理学院,E-mail:yydai@xmu.edu.cn.
张鹏东,博士研究生,厦门大学管理学院,E-mail:zhangpengdong@126.com.
潘 越(通讯作者),管理学博士,教授,厦门大学经济学院,E-mail:panyue@xmu.edu.cn.
引用本文:    
戴亦一, 张鹏东, 潘越. 老赖越多,贷款越难?——来自地区诚信水平与上市公司银行借款的证据[J]. 金融研究, 2019, 470(8): 77-95.
DAI Yiyi, ZHANG Pengdong, PAN Yue. The Role of Honesty in Public Firms' Bank Loans: Evidence from China. Journal of Financial Research, 2019, 470(8): 77-95.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2019/V470/I8/77
[1] 蔡竞和董艳,2016,《银行业竞争与企业创新——来自中国工业企业的经验证据》,《金融研究》 第11期,第96~111页。
[2] 戴亦一、潘越和陈静,2014,《双重保荐声誉、社会诚信与IPO过会》,《金融研究》第6期,第146~161页。
[3] 姜付秀、石贝贝和李行天,2015,《“诚信”的企业诚信吗?——基于盈余管理的经验证据》,《会计研究》第8期,第24~31页。
[4] 王小鲁、樊纲和余静文,2017,《中国分省份市场化指数报告(2016)》,社会科学文献出版社。
[5] 祝继高、韩非池和陆正飞,2015,《产业政策、银行关联与企业债务融资——基于A股上市公司的实证研究》,《金融研究》第3期,第176~191页。
[6] Abeler J, A Becker and A Falk, 2014, “Representative Evidence on Lying Costs,” Journal of Public Economics, 113(2), pp.96~104.
[7] Arrow KJ, 1974, The Limits of Organization, Published by WW Norton & Company.
[8] Basuchoudhary A and JR Conlon, 2000, “Are People Sometimes too Honest? Increasing, Decreasing, and Negative Returns to Honesty,” Southern Economic Journal, 67 (1), pp.139~154
[9] Dikolli SS, WJ Mayew and TD Steffen, 2012, “Honoring One's Word: CEO Integrity and Accruals Quality,” SSRN Working Paper, No. 2131476.
[10] Elster J, 1989, “Social Norms and Economic Theory,” Journal of Economic Perspectives, 3 (4), pp.99~117.
[11] Erhard W. and M. Jensen, 2014, “Putting Integrity Into Finance: A Purely Positive Approach,” NBER Working Paper, No. 19986.
[12] Gibson R, C Tanner and A Wagner, 2013, “Preferences for Truthfulness: Heterogeneity among and within Individuals,” American Economic Review, 103 (1), pp.532~548.
[13] Gino F, S Ayal and D Ariely, 2009, “Contagion and Differentiation in Unethical Behavior: the Effect of One Bad Apple on the Barrel,” Psychological Science, 20 (3), pp.393~398.
[14] Gosling M and H J Huang, 2009, “The Fit Between Integrity and Integrative Social Contracts Theory,” Journal of Business Ethics, 90(3), pp.407~417.
[15] Grieser WD, R Li and A Simonov, 2016, “Integrity, Creativity, and Corporate Culture,” SSRN Working Paper, No. 2741049.
[16] Guiso L, P Sapienza and L Zingales, 2015, “The Value of Corporate Culture,” Journal of Financial Economics, 2015, 117 (1), pp.60~76
[17] Houser D, S Vetter and J Winter, 2012, “Fairness and Cheating,” European Economic Review, 56 (8), pp.1645~1655.
[18] Hutton A P, A J Marcus and H Tehranian, 2009, “Opaque Financial Reports, R2, and Crash Risk,” Journal of Financial Economics, 94(1), pp.67~86.
[19] Lu Z, J Zhu and W Zhang, 2012, “Bank Discrimination, Holding Bank Ownership, and Economic Consequences: Evidence From China,” Journal of Banking & Finance, 36 (2), pp.341~354.
[20] Mazar N and D Ariely, 2006, “Dishonesty in Everyday Life and Its Policy Implications,” Journal of Public Policy & Marketing, 25(1), pp.117~126.
[21] Melnik A and S Plaut, 1986, “Loan Commitment Contracts, Terms of Lending, and Credit Allocation,” The Journal of Finance, 41(2), pp.425~435.
[22] Pagano M, F Panetta and L Zingales, 1998, “Why Do Companies Go Public? An Empirical Analysis,” Journal of Finance, 53(1), pp.27~64.
[23] Pruckner GJ and R Sausgruber, 2013, “Honesty On the Streets: A Field Study on Newspaper Purchasing,” Journal of the European Economic Association, 11 (3), pp.661~679.
[24] Talhelm T,X Zhang,S Oishi, et al., 2014, “Large-Scale Psychological Differences Within China Explained by Rice Versus Wheat Agriculture,” Science, 344(6184), pp.603~608.
[25] Verhezen P, 2008, “The (Ir)Relevance of Integrity in Organizations,” Public Integrity, 10 (2), pp.133~149.
[26] Yonker SE, 2017, “Do Managers Give Hometown Labor an Edge?” Review of Financial Studies, 30 (10), pp.3581~3604.
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