The Impact Mechanism of Free Competition Among Financial Institutions on the Credit Accessibility of Farmers
A Study of Zhejiang Experience
DOI:
https://doi.org/10.54097/hckcdj92Keywords:
Free Competition Among Financial Institutions, Financing Constraints, Difference-in-Differences, Spatial Durbin ModelAbstract
Using data from rural fixed observation points in Zhejiang Province from 2003 to 2022, this study employs a difference-in-differences (DID) model to explore the impact of free competition among financial institutions on the credit accessibility of farmers and its underlying mechanisms. The results show that free competition among financial institutions significantly improves farmers' credit accessibility. The mechanism analysis indicates that such competition leads to an increase in the number of loan officers, promotes the marketization of certain financial functions, and enhances the dissemination of financial knowledge, thereby improving farmers' financial literacy and reducing financing constraints. Specifically, agricultural industrialization and digitalization both indirectly affect the relationship between free competition among financial institutions and farmers' credit accessibility. Based on these developments, financial institutions are able to provide more efficient and convenient financial services, contributing to the formation of a financial ecosystem. Further analysis reveals a noticeable "siphoning effect" of financial competition in Zhejiang Province, where it significantly promotes the growth of rural credit in the region while suppressing the growth of rural credit in neighboring areas. The study’s conclusions offer both empirical insights into rural financial market reform from the perspective of policy changes and practical reference from the perspective of regional spillovers for the development of rural finance.
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[1] Xuan, Y., Jin, Q., & Li, X. (2022). Interest Rate Marketization, Credit Resource Allocation, and the Growth Option Value of Private Enterprises: Empirical Evidence Based on the Relaxation of Loan Interest Rate Upper and Lower Limits. *Financial Research*, 2022(5), 19.
[2] Liang, S. (2022). Thirty Years of Interest Rate Marketization in China: Review, Issues, and Reform Directions. *New Finance*, 2022(03), 17-23.
[3] Liu, X., Chen, L., & Yang, Q. (2014). Farmers’ Demand for Formal Credit and Interest Rates: Empirical Examination Based on the Tobit III Model. *Management World*, 2014(03), 75-91. DOI:10.19744/j.cnki.11-1235/f.2014.03.008.
[4] Huang, Y., Wang, M., Fu, Q., et al. (2018). Reconstructing Rural Finance in China through Marketization, Industrialization, and Digitalization Strategies. *International Economic Review*, 2018(3), 20. DOI:CNKI:SUN:GJPP.0.2018-03-006.
[5] Pan, Y., & Tu, W. (2019). Economic Logic and Policy Paths for Solving the Unbalanced and Insufficient Development of Rural Finance. *Financial Science*, 2019(03), 28-38.
[6] Wen, T., & He, Q. (2023). Fully Advancing Rural Revitalization and Deepening Rural Financial Reform and Innovation: Logical Transformation, Breakthrough of Difficulties, and Path Selection. *China Rural Economy*, 2023(01), 93-114. DOI:10.20077/j.cnki.11-1262/f.2023.01.006.
[7] Chen, X., & Mi, Y. (2024). A New Paradigm of Rural Finance Theory: Basic Principles, Practical Models, and Policy Implications. *Economist*, 2024(09), 119-128. DOI:10.16158/j.cnki.51-1312/f.2024.09.001.
[8] Wu, B., Luo, L., & Wang, L. (2022). Dynamic Impact of Agricultural Credit Cooperative Commercialization Reform on Urban-Rural Income Disparity in Counties: An Analysis Based on the Natural Experiment of Agricultural Credit Cooperative Reform into Rural Commercial Banks. *China Rural Economy*, 2022(04), 83-105.
[9] Peng, P., & Zhou, Y. (2022). Policy Trajectory, Theoretical Logic, and Practical Effect of Rural Financial Reform in the New Century: Based on a Textual Analysis of the Central "No. 1 Document" from 2004 to 2022. *China Rural Economy*, 2022(09), 2-23.
[10] Xu, Z., & Cheng, E. (2004). Interest Rate Policy, Rural Financial Institution Behavior, and Rural Credit Shortage. *Financial Research*, 2004(12), 34-44.
[11] Cheng, Y., Han, J., & Luo, D. (2009). The Interactive Effects of Supply Allocation and Demand Suppression on Formal Credit Constraints: A Study Based on the Financial Needs and Behaviors of 1,874 Farmers. *World Economy*, 2009(05), 73-82. DOI:10.19985/j.cnki.cassjwe.2009.05.007.
[12] Zhang, Z., Wu, H., & Wu, J. (2012). The Relationship Between Price Competition of Commercial Banks and Risk Behavior: An Empirical Study Based on Loan Interest Rate Marketization. *Financial Research*, 2012(7), 14. DOI:CNKI:SUN:JRYJ.0.2012-07-004.
[13] Liu, L., Yu, J., Yang, J., & Zhu, X. (2017). Is Competition a Double-Edged Sword for Bank Credit Structure Adjustment? Micro-Evidence from China’s Interest Rate Marketization Process. *International Monetary Review*, 2017.
[14] Wang, D., & Zhang, X. (2007). Interest Rate Marketization, Corporate Financing, and Credit Behavior of Financial Institutions. *World Economy*, 2007, 30(2), 10. DOI:10.3969/j.issn.1002-9621.2007.02.006.
[15] Zhao, P., & Yao, Y. (2022). The Impact of Interest Rate Marketization Reform on Financing Constraints of Small and Medium-Sized Private Enterprises in China: A Re-examination of the Role of Bank Credit Risk Pricing Ability. *Financial Research*, 2022, 48(7), 15.
[16] Xiang, H., & Yan, Y. (2017). The Development of Financial Products, Interest Rate Marketization, and Bank Risk-Taking Behavior. *Financial Research*, 2017(10), 16. DOI:CNKI:SUN:JRYJ.0.2017-10-007.
[17] Qi, H., Wu, B., & Ma, J. (2022). Loan Interest Rate Marketization and the Return to the Core Mission of Rural Financial Institutions. *World Economy*, 2022, 45(11), 77-100.
[18] Wang, C., Zhong, T., & Zheng, H. (2014). Does Financial Institution Competition Improve Farmers' Credit Access? Empirical Study Based on Farmer Survey Data. *Economic Research*, 2014, 49(10), 33-45+178.
[19] Zhu, Y., & He, C. (2022). Credit Technology, Soft Information, and the Appropriate Loan Amount: An Empirical Study Based on 1,493 Microcredit Loan Surveys. *Zhejiang University Journal (Humanities & Social Sciences Edition)*, 2022, 52(07), 16-33.
[20] Zhu, X., & Li, Z. (2006). Credit Allocation of Formal Financial Institutions to Farmers: An Empirical Analysis Using a Simultaneous Discrete Choice Model. *Quantitative Economics and Technical Economic Research*, 2006(03), 37-49.
[21] Huo, X., & Qu, X. (2005). Analyzing the Demand and Supply of Funds for Farmers in Western Traditional Agricultural Regions: A Study on the Rural Financial Situation in Shaanxi Wei North Area. *China Rural Economy*, 2005(08), 58-67.
[22] Cao, L. (2001). Research on the Behavior of Rural Financial Market Participants in China. *Financial Forum*, 2001(05), 6-11+33. DOI:10.16529/j.cnki.11-4613/f.2001.05.002.
[23] Song, Q., Wu, Y., & Yin, Z. (2017). Research on Household Credit Behavior from the Perspective of Financial Knowledge. *Financial Research*, 2017(6), 16. DOI:CNKI:SUN:JRYJ.0.2017-06-007.
[24] Liu, D., & Lu, J. (2019). The Impact of Financial Knowledge on Farmers' Credit Behavior: An Intergenerational Perspective. *Agricultural Technology Economics*, 2019, No.295(11), 20-30. DOI:CNKI:SUN:NYJS.0.2019-11-002.
[25] Chatterjee, S. (2013). Borrowing Decisions of Credit-Constrained Consumers and The Role of Financial Literacy. *Economics Bulletin*, 33(1), 179-191.
[26] Xu, Y., & Zhang, L. (2020). Digital Transformation of Agricultural Supply Chain Finance: Theory and Case Studies from China. *Agricultural Economic Issues*, 2020(04), 72-81. DOI:10.13246/j.cnki.iae.2020.04.009.
[27] Yin, H., Huo, P., & Wang, S. (2020). Digital Transformation of Agriculture and Rural Areas: Realistic Representation, Mechanism Analysis, and Promotion Strategies. *Reform*, 2020(12), 48-56.
[28] Yu, Y., Su, H., & Li, Y. (2017). The Evolutionary Path and Mechanism of Regional Financial Differences. *China Industrial Economy*, 2017(04), 74-93. DOI:10.19581/j.cnki.ciejournal.2017.04.005.
[29] Tang, W. (2022). Digital Technology Drives High-Quality Development in Agriculture and Rural Areas: Theoretical Explanation and Practical Path. *Journal of Nanjing Agricultural University (Social Sciences Edition)*, 2022, 22(02), 1-9. DOI:10.19714/j.cnki.1671-7465.2022.0018.
[30] Zhao, T., Zhang, Z., & Liang, S. (2020). Digital Economy, Entrepreneurial Activity, and High-Quality Development: Empirical Evidence from Chinese Cities. *Management World*, 2020, 36(10), 65-76. DOI:10.19744/j.cnki.11-1235/f.2020.0154.
[31] Li, Y., Xu, S., & Bai, L. (2018). Financial Knowledge, Overconfidence, and Financial Behavior. *Macroeconomic Research*, 2018(03), 33-47. DOI:10.16304/j.cnki.11-3952/f.2018.03.005.
[32] He, G., He, J., & Guo, P. (2018). Re-Examining Farmers' Credit Demand and Its Accessibility. *Agricultural Economic Issues*, 2018(02), 38-49. DOI:10.13246/j.cnki.iae.2018.02.005.
[33] Liu, X., & Cheng, E. (2013). Financing Models for Agricultural Industry Chains in China: Typical Cases and Theoretical Implications. *Financial and Trade Economics*, 2013(08), 47-57. DOI:10.19795/j.cnki.cn11-1166/f.2013.08.005.
[34] Fan, L. (2010). Financial Support for Rural Urbanization: Reflections. *Urban Development Research*, 2010, 17(07), 63-66+72.
[35] Zhou, L., & Cao, L. (2001). The Evolution and Innovation of Rural Economic Organizations: An Investigation Report on Agricultural Industrialization in Laiyang, Shandong Province. *Economic Research*, 2001(01), 69-75+83-94.
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