|
|
Market-oriented Credit Reporting Bureau and SMEs Financing Constraints: Micro Evidence from the World Bank Enterprise Surveys Data |
XIONG Pengchong, JI Yang, ZHU Mengnan
|
School of Economics,Xiamen University;
Business School,Sun Yat-sen University |
|
|
Abstract Information asymmetry and insufficient data remain persistent barriers limiting access to external finance for small and medium-sized enterprises (SMEs) worldwide. Unlike large firms, many SMEs operate informally, avoiding the costs associated with formal registration, such as administrative procedures, time, taxes, and regulatory inspections. However, the absence of formal business records prevents SMEs from building credible credit histories, which are essential for securing bank loans. Even when some data exist, financial institutions often face high costs and technical difficulties in collecting and processing the information required to assess SMEs' creditworthiness. Moreover, SMEs frequently lack sufficient physical collateral, further exacerbating their financing constraints. Against this backdrop, market-oriented credit reporting bureaus, as key components of the data factor market, theoretically hold significant potential in mitigating the information asymmetry faced by SMEs. Unlike public credit registries, which primarily focus on maintaining financial stability and have relatively limited data collection scopes, market-oriented bureaus operate under market-based mechanisms and leverage technological innovations to expand the breadth and depth of information acquisition. This facilitates the circulation and utilization of data and information, enabling the development of richer and more multidimensional credit profiles for individuals and enterprises. Such capabilities not only help alleviate the information asymmetry encountered by financial institutions when granting credit to SMEs but also offer new possibilities for reducing the reliance of lending decisions on collateral. Motivated by these considerations, this paper employs the latest World Bank Enterprise Surveys data covering over 70000 enterprises globally and manually matches data on credit reporting institutions across 98 economies to empirically investigate the impact of market-oriented credit reporting bureaus on enterprise financing constraints, providing internationally comparable insight for China's current reforms. Empirical results show that the establishment of market-oriented credit bureaus significantly reduces financing constraints for SMEs, while having no significant effect on large firms. In contrast, public credit registries do not exhibit significant effects on alleviating financing constraints for either SMEs or large enterprises. These findings remain robust across alternative variable definitions, placebo tests, and after addressing potential endogeneity concerns. Further analysis reveals the mechanisms through which market-oriented credit reporting bureaus affect SME financing. These bureaus promote both the collection and accumulation of enterprise-related information, not only expanding the availability of data itself but also encouraging SMEs to register formally and extend their duration of formal operations. Moreover, by integrating multidimensional and diverse data sources, market-oriented credit bureaus are better able to reach underserved and low-tier segments of the market, building more comprehensive credit profiles for SMEs and helping reduce banks' dependence on collateral in credit decisions. These mechanisms collectively explain why market-oriented credit reporting bureaus play a unique role in easing financing constraints for SMEs, whereas public credit registries have been less successful in achieving similar outcomes. This paper contributes new empirical evidence regarding the role of market-oriented credit reporting bureaus in mitigating SMEs financing constraints. Compared to the existing literature, it further explores the specific channels through which market-oriented credit reporting bureaus alleviate challenges unique to SMEs. While prior studies have established that credit reporting systems can reduce information asymmetry and lower firms' financing costs, few studies have directly examined how market-oriented bureaus help address issues such as insufficient collateral or limited credit histories that particularly affect SMEs. This paper investigates these specific pathways, enriching our understanding of how market-oriented credit reporting bureaus influence SME financing outcomes. The findings also carry important policy implications. First, the results provide empirical support for the positive externalities associated with the marketization of data as a production factor. The study finds that globally, government-led public credit registries have not significantly reduced firms' financing constraints, nor does market-oriented credit reporting bureaus increase the financing burden on firms; instead, it is precisely the market-oriented credit reporting bureaus that effectively mitigate these constraints. Second, the paper's analysis of SMEs-specific channels offers practical policy recommendations for addressing SMEs financing difficulties. The analysis in this paper indicates that the development of market-oriented credit reporting bureaus can help reduce banks' collateral requirements for SMEs. Accordingly, one feasible approach to promoting SMEs financing within the data factor market is to enhance the cooperation between these credit reporting bureaus and banks. By leveraging the strengths of market-oriented credit bureaus in credit product development, joint efforts can be made to introduce credit loan products based on large-scale credit data.
|
Received: 15 January 2024
Published: 01 August 2025
|
|
|
|
[1] |
曹光宇、刘畅和周黎安,2022,《大数据征信与平台流量》,《世界经济》第9期,第130~151页。
|
[2] |
曹雨阳、孔东民和陶云清,2022,《中国社会信用体系改革试点效果评估——基于企业社会责任的视角》,《财经研究》第2期,第93~108页。
|
[3] |
戴亦一、张鹏东和潘越,2019,《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》,《金融研究》第8期,第77~95页。
|
[4] |
洪永淼、张明和刘颖,2022,《推动跨境数据安全有序流动 引领数字经济全球化发展》,《中国科学院院刊》第10期,第1418~1425页。
|
[5] |
江艇,2022,《因果推断经验研究中的中介效应与调节效应》,《中国工业经济》第5期,第100~120页。
|
[6] |
李俊青、韩其恒和寇海洁,2022,《政府、社会信任与经济增长》,《经济研究》第6期,第26~44页。
|
[7] |
林毅夫和李永军,2001,《中小金融机构发展与中小企业融资》,《经济研究》第1期,第10~18+53~93页。
|
[8] |
钱雪松、杜立和马文涛,2015,《中国货币政策利率传导有效性研究:中介效应和体制内外差异》,《管理世界》第11期,第11~28+187页。
|
[9] |
宋林霖和何成祥,2018,《优化营商环境视阈下放管服改革的逻辑与推进路径——基于世界银行营商环境指标体系的分析》,《中国行政管理》第4期,第67~72页。
|
[10] |
谭语嫣、纪洋和黄益平,2017,《利率市场化改革对经济效率的影响》,《世界经济》第4期,第3~28页。
|
[11] |
陶云清和张金林,2023,《社会信用、融资约束与企业金融化——来自“中国社会信用体系建设”的证据》,《上海对外经贸大学学报》第2期,第89~105页。
|
[12] |
巫岑、饶品贵和岳衡,2022,《注册制的溢出效应:基于股价同步性的研究》,《管理世界》第12期,第177~202页。
|
[13] |
谢绚丽、沈艳、张皓星和郭峰,2018,《数字金融能促进创业吗?——来自中国的证据》,《经济学(季刊)》第4期,第1557~1580页。
|
[14] |
许宪春、胡亚茹和张美慧,2022,《数字经济增长测算与数据生产要素统计核算问题研究》,《中国科学院院刊》第10期,第1410~1417页。
|
[15] |
叶征、田昆和黄丹阳,2020,《市场化征信助力小微发展》,《中国金融》第4期,第77~78页。
|
[16] |
张牧扬、潘妍和余泳泽,2022,《社会信用、刚兑信仰与地方政府隐性债务》,《金融研究》第10期,第1~19页。
|
[17] |
张三峰和张伟,2016,《融资约束、金融发展与企业雇佣——来自中国企业调查数据的经验证据》,《金融研究》第10期,第111~126页。
|
[18] |
张一林、林毅夫和龚强,2019,《企业规模、银行规模与最优银行业结构——基于新结构经济学的视角》,《管理世界》第3期,第31~47+206页。
|
[19] |
Alesina, A. and E. Zhuravskaya, 2011, “Segregation and the Quality of Government in a Cross Section of Countries”, American Economic Review, 101(5), pp.1872~1911.
|
[20] |
Ayyagari, M., A. Demirgüç-Kunt and V. Maksimovic, 2010, “Formal Versus Informal Finance: Evidence From China”, The Review of Financial Studies, 23(8),pp.3048~3097.
|
[21] |
Balakrishnan, K. and A. Ertan, 2021, “Credit information sharing and loan loss recognition”, The Accounting Review, 96(4), pp.27~50.
|
[22] |
Ball, I., 2025, “Scoring strategic agents”, American Economic Journal: Microeconomics, 17(1),pp. 97~129.
|
[23] |
Beck, T., A. Demirgüç-Kunt and V. Maksimovic, 2005, “Financial and Legal Constraints to Growth: Does Firm Size Matter?”, The Journal of Finance, 60(1),pp. 137~177.
|
[24] |
Beck, T., A. Demirgüç-Kunt and V. Maksimovic, 2008, “Financing Patterns Around the World: Are Small Firms Different?”, Journal of Financial Economics, 89(3),pp.467~487.
|
[25] |
Bergemann, D., A. Bonatti and T. Gan, 2022, “The Economics of Social Data”, The RAND Journal of Economics, 53(2),pp.263~296.
|
[26] |
Brown, M., T. Jappelli and M. Pagano, 2009, “Information Sharing and Credit: Firm-level Evidence From Transition Countries”, Journal of Financial Intermediation, 18(2),pp.151~172.
|
[27] |
Distinguin, I., C. Rugemintwari and R. Tacneng, 2016, “Can Informal Firms Hurt Registered SMEs' Access to Credit?”, World Development, 84,pp.18~40.
|
[28] |
Djankov, S., C. McLiesh and A. Shleifer, 2007, “Private Credit in 129 Countries”, Journal of Financial Economics, 84(2),pp.299~329.
|
[29] |
Dong, Y. W., Q. Gou and H. Qiu, 2023, “Big Tech Credit Score and Default Risk—Evidence From Loan-Level Data of a Representative Microfinance Company in China”, China Economic Review, 81,p. 102010.
|
[30] |
Fazzari, S., R. G. Hubbard and B. C. Petersen, 1987, “Financing Constraints and Corporate Investment”, NBER Working Paper, No. 2387.
|
[31] |
Gambacorta, L., Y. Huang, Z. Li, H. Qiu and S. Chen, 2023, “Data Versus Collateral”, Review of Finance, 27(2),pp.369~398.
|
[32] |
Jansen, M., F. Nagel, C. Yannelis and A. L. Zhang, 2022, “Data and Welfare in Credit Markets”, University of Chicago, Becker Friedman Institute for Economics Working Paper, No.2022~88.
|
[33] |
Jappelli, T. and M. Pagano, 2002, “Information Sharing, Lending and Defaults: Cross-Country Evidence”, Journal of Banking & Finance, 26(10),pp. 2017~2045.
|
[34] |
Love, I. and N. Mylenko, 2003, “Credit Reporting and Financing Constraints”, World Bank Policy Research Working Paper,No.3142.
|
[35] |
Martinez Peria, M. S. and S. Singh, 2014, “The Impact of Credit Information Sharing Reforms on Firm Financing?”,World Bank Policy Research Working Paper,No.7013.
|
[36] |
Miller, M., 2003, “Credit Reporting Systems Around the Globe: The State of the Art in Public Credit Registries and Private Credit Reporting Firms”, In Credit Reporting Systems and the International Economy, ed. Margaret J. Miller. Cambridge, MA: MIT Press.
|
[37] |
Pagano, M. (Ed.), 2001, “Defusing Default, Incentives and Institutions”, IDB and OECD, John Hopkins University Press, Washington, DC.
|
[38] |
Pagano, M. and T. Jappelli, 1993, “Information Sharing in Credit Markets”, The Journal of Finance, 48(5),pp.1693~1718.
|
[39] |
Powell, A., N. Mylenko, M. Miller and G. Majnoni, 2004, “Improving Credit Information, Bank Regulation and Supervision: On the Role and Design of Public Credit Registries”, World Bank Policy Research Working Paper,No. 3443.
|
[40] |
Straub, S., 2005, “Informal Sector: The Credit Market Channel”, Journal of Development Economics, 78(2),pp.299~321.
|
[41] |
Tang, H., 2019, “Peer-to-Peer Lenders Versus Banks: Substitutes or Complements?”, The Review of Financial Studies, 32(5),pp.1900~1938.
|
[42] |
Zapechelnyuk, A., 2020, “Optimal Quality Certification”, American Economic Review: Insights, 2,pp.161~176.
|
|
|
|