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| Can Fintech Alleviate the “Triangular Dilemma” of Rural Credit Services？ Insights from the Perspective of Cooperation Between Rural Financial Institutions and Fintech Companies |
| WANG Xiuhua, LIU Jinhua
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| College of Finance and Statistics, Hunan University |
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Abstract Difficult and expensive financing in the field of agriculture, rural areas, and farmers is a longstanding issue. It stems from the inability of the traditional credit model to break through the “triangular dilemma” of rural credit services; that is, traditional financial institutions cannot simultaneously achieve their three goals related to risk (controllability), cost (sustainability), and scale (growth) when offering rural credit services. In the context of accelerating the most recent round of scientific and technological revolution and industrial transformation, the broad application of the new generation of information technology (represented by big data, cloud computing, and artificial intelligence) in the financial field is promoting profound changes in financial formats, financial products, and financial development models, as well as constantly improving the quality and efficiency of financial services. Therefore, fintech is regarded as an important and feasible means of alleviating the abovementioned triangular dilemma.
At present, in the face of external challenges brought by “the sinking of large banks' business and cross-border competition of fintech companies” and the internal pressure caused by “narrowing interest margins,” rural financial institutions have taken digital transformation to an unprecedented strategic height. However, this situation differs from that of large banks that establish fintech subsidiaries with great financial strength, solid customer bases, and strong research and development capabilities. Multiple constraints (e.g., the lack of fintech talent, limited financial strength, and complex management systems) make it difficult for rural financial institutions to independently establish fintech subsidiaries or invest large amounts of money into the development and application of fintech, resulting in widespread “digital transformation anxiety.” In this context, a large number of rural financial institutions have signed strategic cooperation agreements with fintech companies, aiming to innovate their business models, optimize their service processes, and improve their risk management through cross-border cooperation, with the goals of promoting their digital transformation and effectively alleviating the difficulty and high costs of financing. Has the cooperation between rural financial institutions and fintech companies achieved the expected results？ Can such cooperation shape their competitive advantage related to inclusive finance, break through the bottleneck of rural financial development, and ultimately solve the triangular dilemma problem？
This paper takes rural financial institutions' signing of strategic cooperation agreements with fintech companies as a quasi-natural experiment. Based on the annual data of 641 rural financial institutions in China, this paper uses a multi-period difference-in-differences (DID) model to investigate the impact of fintech on the credit scale, credit risk, and operating costs of rural financial institutions. It finds that fintech can expand the credit scale of rural financial institutions and reduce their credit risk without increasing their operating costs. This means that fintech can indeed alleviate the triangular dilemma of rural credit services. The mechanism analysis shows that the alleviation of information asymmetry is an important factor in fintech's ability to improve the credit scale and quality of rural financial institutions. Further analysis shows that fintech can expand the retail loan scale of rural financial institutions and improve their operating performance; improving net interest income is important for the improvement of rural financial institutions' operating performance.
This paper makes three contributions. First, in terms of research, it extends the literature on the impact of fintech on the operations of traditional financial institutions, providing micro-empirical evidence of fintech's ability to alleviate the triangular dilemma of rural credit services. Second, in terms of methods and samples, this paper focuses on the impact of fintech on the operations of rural financial institutions by constructing virtual variables of fintech cooperation and using a multi-period DID model. This not only effectively avoids endogeneity problems but also facilitates the accurate evaluation of the actual effect of cooperation between rural financial institutions and fintech companies. Third, in terms of the research content, this paper enriches the literature on the triangular dilemma in the field of rural finance and provides practical support for rural financial institutions' use of fintech to enhance financial inclusion in the future.
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Received: 23 March 2023
Published: 02 January 2024
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| Cite this article: |
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WANG Xiuhua,LIU Jinhua. Can Fintech Alleviate the “Triangular Dilemma” of Rural Credit Services？ Insights from the Perspective of Cooperation Between Rural Financial Institutions and Fintech Companies[J]. Journal of Financial Research,
2023, 522(12): 150-168.
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| URL: |
| http://www.jryj.org.cn/EN/ OR http://www.jryj.org.cn/EN/Y2023/V522/I12/150 |
| [1] |
陈雨露,2021,《工业革命、金融革命与系统性风险治理》,《金融研究》第1期,第1～12页。
|
| [2] |
高昊宇、方锦程和李梦,2022,《金融科技的风险管理赋能: 基于中国银行业的经验研究》,《系统工程理论与实践》第12期,第3201～3215。
|
| [3] |
郭晔、未钟琴和方颖,2022,《金融科技布局、银行信贷风险与经营绩效——来自商业银行与科技企业战略合作的证据》,《金融研究》第10期,第20～38页。
|
| [4] |
黄祖辉、刘西川和程恩江,2009,《贫困地区农户正规信贷市场低参与程度的经验解释》,《经济研究》第4期,第116～128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] |
姜付秀、蔡文婧、蔡欣妮和李行天,2019,《银行竞争的微观效应:来自融资约束的经验证据》,《经济研究》第6期,第72～88页。
|
| [7] |
金洪飞、李弘基和刘音露,2020,《金融科技、银行风险与市场挤出效应》,《财经研究》第5期,第52～65页。
|
| [8] |
李庆海、吕小锋和孙光林,2016,《农户信贷配给:需求型还是供给型？——基于双重样本选择模型的分析》,《中国农村经济》第1期,第17～29页。
|
| [9] |
李政和周科,2020,《国内大循环视角下普惠金融的发展误区和政策纠偏》,《人文杂志》第12期,第48～55页。
|
| [10] |
梁若冰和王群群,2021,《地方债管理体制改革与企业融资困境缓解》,《经济研究》第4期,第60～76页。
|
| [11] |
刘西川、陈立辉和杨奇明,2014,《农户正规信贷需求与利率:基于Tobit Ⅲ模型的经验考察》,《管理世界》第3期,第75～91页。
|
| [12] |
孟娜娜和粟勤,2020,《挤出效应还是鲶鱼效应:金融科技对传统普惠金融影响研究》,《现代财经(天津财经大学学报)》第1期,第56～70页。
|
| [13] |
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。
|
| [14] |
王道平、刘杨婧卓、徐宇轩和刘琳琳,2022,《金融科技、宏观审慎监管与我国银行系统性风险》,《财贸经济》第4期,第71～84页。
|
| [15] |
王小华、邓晓雯和周海洋,2022《金融科技对商业银行经营绩效的影响:促进还是抑制？》,《改革》第8期,第141～155页。
|
| [16] |
谢绚丽和王诗卉,2022,《中国商业银行数字化转型:测度、进程及影响》,《经济学(季刊)》第6期,第1937～1956页。
|
| [17] |
星焱,2015,《普惠金融的效用与实现:综述及启示》,《国际金融研究》第11期,第24～36页。
|
| [18] |
张海洋和韩晓,2021,《数字金融的减贫效应研究——基于贫困脆弱性视角》,《金融评论》第6期,第57～77页。
|
| [19] |
郑休休、刘青和赵忠秀,2022,《产业关联、区域边界与国内国际双循环相互促进——基于联立方程组模型的实证研究》,《管理世界》第11期,第56～70页。
|
| [20] |
Adams, D.W., and D. H. Graham, 1981, “A Critique of Traditional Agricultural Credit Projects and Policies”, Journal of Development Economics, 8(3): 347～366.
|
| [21] |
Baker, A. C., D. F. Larcker, and C. C. Y. Wang, 2022, “How Much Should We Trust Staggered Difference-in-differences Estimates？”, Journal of Financial Economics, 144(2):370～395.
|
| [22] |
Banna, H., M. A. Mia, and M. Nourani, 2022, “Fintech-based Financial Inclusion and Risk-taking of Microfinance Institutions (MFIs): Evidence from Sub-Saharan Africa”, Finance Research Letters, 45:102149.
|
| [23] |
Di Maggio, M., and V. Yao, 2021, “Fintech Borrowers: Lax Screening or Cream-skimming？”, The Review of Financial Studies, 34(10):4565～4618.
|
| [24] |
Erel, I., and J. Liebersohn, 2022, “Can FinTech Reduce Disparities in Access to Finance？ Evidence from the Paycheck Protection Program”, Journal of Financial Economics, 146(1):90～118.
|
| [25] |
Goodman-Bacon, A. 2021, “Difference-in-differences with Variation in Treatment Timing”, Journal of Econometrics, 225(2): 254～277.
|
| [26] |
Gopal, M., and P. Schnabl, 2022,“The Rise of Finance Companies and Fintech Lenders in Small Business Lending”,The Review of Financial Studies, 35(11): 4859～4901.
|
| [27] |
Hodula, M. 2022, “Does Fintech Credit Substitute for Traditional Credit？ Evidence from 78 Countries”, Finance Research Letters, 46:102469.
|
| [28] |
Hornuf, L., M. F. Klus, and T. S. Lohwasser, 2021, “How Do Banks Interact with Fintech Startups？”, Small Business Economics, 57:1505～1526.
|
| [29] |
Kowalewski, O., and P. Pisany, 2022, “Banks' Consumer Lending Reaction to Fintech and Bigtech Credit Emergence in the Context of Soft Versus Hard Credit Information Processing”, International Review of Financial Analysis, 81:102116.
|
| [30] |
Li, J., J. Li, and X. Zhu, 2020, “Risk Spillovers Between FinTech and Traditional Financial Institutions: Evidence from the US”, International Review of Financial Analysis,71:101544.
|
| [31] |
Murinde, V., E. Rizopoulos, and M. Zachariadis, 2022, “The Impact of the FinTech Revolution on the Future of Banking: Opportunities and Risks”, International Review of Financial Analysis, 81:102103.
|
| [32] |
Rajan, R., and L. Zingales,1998, “Financial Development and Growth”, American Economic Review, 88(3):559～586.
|
|
|
|
