|
|
|
| Inclusive Small and Micro Credit Supply and Entry of Small and Micro Enterprises: Evidence from the Establishment of Small and Micro Banks |
| WANG Xianbin, XU Tingjun, YAN Xiangqi
|
School of Economics/ Center for Madhyamaka Economics Research, Jinan University; Institute of Public Finance and Banking, Guangdong Academy of Social Sciences |
|
|
|
Abstract In recent years, small and micro enterprises (SMEs) have faced sustained pressure on their production and operations due to multiple domestic and international factors, including reduced orders, intensifying competition, and rising costs. Inclusive finance, as a key institutional arrangement for promoting the development of the real economy and safeguarding the survival and growth of small and micro enterprises, has drawn considerable attention to its policy effectiveness. To alleviate the financing difficulties of SMEs, the Chinese government has introduced a series of policies centered on inclusive SME credit. Based on this, this paper constructs a panel dataset covering the period from 2009 to 2021 to examine the impact of inclusive micro and small business lending on the market entry behavior of these enterprises. It then proposes policy recommendations from an inclusive finance perspective to enhance the entrepreneurial vitality and operational resilience of micro and small businesses, providing empirical support for a comprehensive assessment of the effectiveness of inclusive micro and small business lending policies. First, this paper constructs a theoretical model of enterprise market entry incorporating financing constraints and costs, systematically analyzing the specific mechanisms through which the establishment of micro-enterprise branches influences SME market entry. Second, empirical tests using a staggered difference-in-difference (DID) method reveal that the establishment of small and micro branches (SMBs) significantly promotes SMEs market entry: counties or districts with SMBs exhibit a roughly 25.44% higher SMEs market entry rate than those without. Mechanism tests indicate that SMBs alleviate SMEs' financing constraints and reduce their financing costs, forming a transmission pathway that facilitates market entry. Heterogeneity analysis reveals that this promotional effect is more pronounced in enterprises with higher quality, greater initial capital requirements, and technology-intensive industries, as well as in eastern regions and areas with lower fiscal decentralization. Additional analysis further confirms that the establishment of SMBs significantly enhances the employment absorption capacity of SMEs thereby effectively increasing the regional employment scale. Compared with existing research, the marginal contributions of this study are primarily reflected in three aspects: First, at the theoretical level, it systematically explains the impact of inclusive microcredit on SMEs market entry and its underlying mechanisms by integrating theoretical models with empirical evidence. This research addresses the insufficient focus on SMEs “market entry” behavior of existing literature, enriching the theoretical framework of SMEs credit while responding to academic debates and skepticism regarding the effectiveness of inclusive microcredit policies. It provides robust empirical evidence from the Chinese context supporting the proposition that “inclusive finance empowers SMEs”. Second, at the methodological level, given the gradual establishment of MSME branches, the study employs a staggered DID approach. By appropriately controlling various fixed effects and exogenous variables, and integrating econometric methods such as instrumental variables and double machine learning, it effectively mitigates endogeneity issues. This provides more robust causal identification evidence for how inclusive micro credit promotes SME market entry. Third, at the data level, we collected and compiled micro data from the EPS China Industrial and Commercial Enterprise Database to measure SME market entry. This data selection avoids sample selection bias potentially encountered in questionnaire-based datasets like the China SMEs Survey or National Tax Survey, while also overcoming measurement errors arising from using SMEs Board or ChiNext-listed companies as proxies for micro and small enterprises. It enables accurate and comprehensive depiction of the spatiotemporal evolution of SMEs across Chinese counties before and after the establishment of SMBs at a finer granularity. Based on research findings, this paper proposes the following policy recommendations. First, strengthen SMEs financial services within small and medium financial institutions and deepen the development of specialized institutions. Building on the “localized and specialized” positioning of small and medium financial institutions, encourage them to increase the deployment of specialized institutions for micro and small enterprises, reversing the tendency to favor large clients. Second, improve the mechanism for coordinated government and market efforts to establish a long-term micro and small enterprise financial mechanism characterized by “willingness to lend, ability to lend, and expertise in lending”. Simultaneously, deepen rural financial reforms to bridge the “last mile” of policy implementation, achieving an organic integration of an “effective government” and an “efficient market”. Third, implement targeted financial support strategies to optimize credit resource allocation. Financial resource deployment should balance inclusiveness and structural focus, ensuring basic coverage while prioritizing sectors aligned with national strategic priorities, such as technological innovation and manufacturing, and underdeveloped regions.
|
|
Received: 07 March 2025
Published: 05 December 2025
|
|
|
|
|
| [1] |
蔡栋梁、王海军、黄金和黄宇虹,2024,《银行数字化转型对小微企业自主创新的影响——兼论数字金融的协同作用》,《南开管理评论》第3期,第39~51页。
|
| [2] |
范琳琳和周铭山,2023,《风险投资经验、投资行为与初创科技企业存活——基于风险投资税收优惠的准自然试验》,《管理科学学报》第12期,第135~154页。
|
| [3] |
郭沛瑶和尹志超,2022,《小微企业自主创新驱动力——基于数字普惠金融视角的证据》,《经济学动态》第2期,第85~104页。
|
| [4] |
李昊然、刘诗源和康润琦,2023,《普惠金融与小微企业破产风险——来自小微支行设立的准自然实验》,《经济研究》第11期,第153~171页。
|
| [5] |
李华民和吴非,2015,《谁在为小微企业融资:一个经济解释》,《财贸经济》第5期,第48~58页。
|
| [6] |
卢盛峰和张浩天,2024,《政府邻近、公共投资与县域经济发展》,《数量经济技术经济研究》第6期,第111~128页。
|
| [7] |
莫怡青和李力行,2022,《零工经济对创业的影响——以外卖平台的兴起为例》,《管理世界》第2期,第31~45页。
|
| [8] |
盛天翔和范从来,2020,《金融科技、最优银行业市场结构与小微企业信贷供给》,《金融研究》第6期,第114~132页。
|
| [9] |
宋昌耀、李涛和李国平,2021,《地理距离对中国民营企业银行贷款的影响》,《地理学报》第8期,第1835~1847页。
|
| [10] |
宋凌云和王贤彬,2013,《重点产业政策、资源重置与产业生产率》,《管理世界》第12期,第63~77页。
|
| [11] |
王小鲁、樊纲和胡李鹏,2020,《中国分省企业经营环境指数2020年报告》,社会科学文献出版社。
|
| [12] |
肖兴志、张伟广和朝镛,2019,《僵尸企业与就业增长:保护还是排挤?》,《管理世界》第8期,第69~83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] |
徐丽鹤、王冉冉、王睿新、李炳昭和田楚齐,2023,《中国中小微企业发展——数据与新发现》,《经济科学》第1期,第5~26页。
|
| [15] |
喻微锋、康琦和周永锋,2020,《商业银行设立普惠金融事业部能提高小微企业信贷可得性吗?——基于PSM-DID模型的实证检验》,《国际金融研究》第11期,第77~86页。
|
| [16] |
张光利、薛慧丽和林嵩,2022,《IPO事件对地区创业活动的影响研究》,《财经研究》第5期,第125~139页。
|
| [17] |
张建华和程文,2019,《服务业供给侧结构性改革与跨越中等收入陷阱》,《中国社会科学》第3期,第39~61页。
|
| [18] |
张铭心、谢申祥、强皓凡和郑乐凯,2022,《数字普惠金融与小微企业出口:雪中送炭还是锦上添花》,《世界经济》第1期,第30~59页。
|
| [19] |
赵家琪、江弘毅、胡诗云和沈艳,2023,《数字普惠金融下的小微信贷与风险——基于银行数字化转型的视角》,《经济学(季刊)》第5期,第1686~1703页。
|
| [20] |
郑录军、韩庆潇和王兆旭,2023,《金融科技、目标相容与小微信贷供给——基于区域问卷调查的微观银行证据》,《国际金融研究》第3期,第50~60页。
|
| [21] |
中国企业创新创业调查2018年课题组、张晓波、王冉冉和徐丽鹤,2022,《中国企业创新创业的特征事实及企业家画像》,《产业经济评论》第1期,第38~57页。
|
| [22] |
朱民、张龙梅和彭道菊,2020,《中国产业结构转型与潜在经济增长率》,《中国社会科学》第11期,第149~171页。
|
| [23] |
Adelino, M., Schoar, A., and Severino, F., 2015, “House Prices, Collateral, and Self-employment”, Journal of Financial Economics, 117(2), pp. 288~306.
|
| [24] |
Attanasio, O., Augsburg, B., and De Haas, R., 2019, “Microcredit Contracts, Risk Diversification and Loan Take-up”, Journal of the European Economic Association, 17(6), pp. 1797~1842.
|
| [25] |
Banerjee, A., Duflo, E., Glennerster, R., and Kinnan, C., 2015, “The Miracle of Microfinance? Evidence from a Randomized Evaluation”, American Economic Journal: Applied economics, 7(1), pp. 22~53.
|
| [26] |
Bazzi, S., Muendler, M. A., Oliveira, R. F., and Rauch, J. E., 2023, “Credit Supply Shocks and Firm Dynamics: Evidence from Brazil”, National Bureau of Economic Research.
|
| [27] |
Beck, Thorsten, Ross Levine, and Alexey Levkov. “Big bad banks? The winners and losers from bank deregulation in the United States”, The Journal of Finance 65.5 (2010), pp. 1637~1667.
|
| [28] |
Chen, Donghua, Oliver Zhen Li, and Fu Xin., 2017, “Five-year plans, China finance and their consequences”, China Journal of Accounting Research, 10(3), pp. 189~230.
|
| [29] |
Cornille D, Rycx F, Tojerow I., 2019, “Heterogeneous Effects of Credit Constraints on SMEs’Employment: Evidence from the European Sovereign Debt Crisis”, Journal of Financial Stability, 41, pp. 1~13.
|
| [30] |
Dixit, Avinash K., and Joseph E. Stiglitz. 1977, “Monopolistic Competition and Optimum Product Diversity”, The American Economic Review, 67(3), pp. 297~308.
|
| [31] |
Duflo, E., 2001, “Schooling and Labor Market Consequences of School Construction in Indonesia: Evidence from an Unusual Policy Experiment”, American Economic Review, 91(4), pp. 795~813.
|
| [32] |
Evans, D. S., and Jovanovic, B., 1989, “An Estimated Model of Entrepreneurial Choice Under Liquidity Constraints”, Journal of Political Economy, 97(4), pp. 808~827.
|
| [33] |
Ioannidou, V., Pavanini, N., and Peng, Y., 2022, “Collateral and Asymmetric Information in Lending Markets”, Journal of Financial Economics, 144(1), pp. 93~121.
|
| [34] |
Melitz, M. J., 2003, “The Impact of Trade on Intra‐industry Reallocations and Aggregate Industry Productivity”, Econometrica, 71(6), pp. 1695~1725.
|
| [35] |
Nitani, M., and Legendre, N., 2021, “Cooperative Lenders and the Performance of Small Business Loans”, Journal of Banking & Finance, 128: 106125.
|
| [36] |
Rajan, R. G., and Zingales, L., 1998, “Power in a Theory of the Firm”, The Quarterly Journal of Economics, 113(2), pp. 387~432.
|
| [37] |
Wette, H. C., 1983, “Collateral in Credit Rationing in Markets with Imperfect Information: Note”, The American Economic Review, 73(3), pp. 442~445.
|
|
|
|