FinTech and Farm Productivity: Credit Access, Digital Infrastructure, and Return Migration in Rural China


Abstract

Improving farm productivity is central to rural income growth and food security in emerging economies, where imperfect credit markets often constrain productive investment. This study examines whether regional development of digital financial inclusion (FinTech) is associated with improved rural credit access and higher farm productivity in China, and whether local conditions shape these relationships. Using household-level panel data from the China Family Panel Studies (CFPS) for 2014–2020 matched with county- and city-level measures from the Peking University Digital Financial Inclusion Index (PKU-DFIIC), we estimate two-way fixed-effects models controlling for household and year heterogeneity. The results show that households located in regions with higher FinTech development exhibit better credit outcomes, measured by both credit participation and borrowing intensity. Rural credit access is positively associated with agricultural total factor productivity, and the estimated association between FinTech development and productivity is attenuated when credit access is included, consistent with a partial mediation pattern. Heterogeneity analyzes further indicate that these associations are stronger in areas with better digital infrastructure and higher return-migration intensity. While the analysis does not claim definitive causal effects, the findings provide robust evidence consistent with the view that digital financial development can relax rural credit constraints and support productive investment, highlighting the importance of complementary infrastructure and demographic conditions in translating financial inclusion into agricultural productivity gains.

References

[1]Lowder, S.K., Sánchez, M.V., Bertini, R., 2021. Which farms feed the world and has farmland become more concentrated? World Development. 142, 105455. DOI: https://doi.org/10.1016/j.worlddev.2021.105455

[2]Stiglitz, J.E., Weiss, A., 1981. Credit rationing in markets with imperfect information. The American Economic Review. 71(3), 393–410. Available from: https://www.jstor.org/stable/1802787

[3]Conning, J., Udry, C., 2007. Rural Financial Markets in Developing Countries. In Handbook of Agricultural Economics. Elsevier: London, UK. pp. 2857–2908. DOI: https://doi.org/10.1016/S1574-0072(06)03056-8

[4]Feder, G., Just, R.E., Zilberman, D., 1985. Adoption of Agricultural Innovations in Developing Countries: A Survey. Economic Development and Cultural Change. 33(2), 255–298. DOI: https://doi.org/10.1086/451461

[5]Ali, D.A., Deininger, K., Duponchel, M., 2014. Credit Constraints and Agricultural Productivity: Evidence from rural Rwanda. The Journal of Development Studies. 50(5), 649–665. DOI: https://doi.org/10.1080/00220388.2014.887687

[6]Suri, T., Jack, W., 2016. The long-run poverty and gender impacts of mobile money. Science. 354(6317), 1288–1292. DOI: https://doi.org/10.1126/science.aah5309

[7]People's Bank of China, 2021. On the Development of Financial Inclusion in China. China Financial Publishing House: Beijing, China. (in Chinese)

[8]Institute of Digital Finance, Peking University, 2019. The Peking University Digital Financial Inclusion Index of China (2011–2018). Peking University: Beijing, China. Available from: https://en.idf.pku.edu.cn/docs/20190610145822397835.pdf

[9]Khan, F.U., Nouman, M., Negrut, L., et al., 2024. Constraints to agricultural finance in underdeveloped and developing countries: a systematic literature review. International Journal of Agricultural Sustainability. 22(1), 2329388. DOI: https://doi.org/10.1080/14735903.2024.2329388

[10]Niu, G., Jin, X., Wang, Q., et al., 2022. Broadband infrastructure and digital financial inclusion in rural China. China Economic Review. 76, 101853. DOI: https://doi.org/10.1016/j.chieco.2022.101853

[11]Chen, B., Xiao, J., 2025. Digital payments enhance both formal and informal credit access for rural households: Evidence from China. Frontiers in Sustainable Food Systems. 9, 1676462. DOI: https://doi.org/10.3389/fsufs.2025.1676462

[12]Guo, Y., Li, S., 2024. A policy analysis of China’s sustainable rural revitalization: Integrating environmental, social and economic dimensions. Frontiers in Environmental Science. 12, 1436869. DOI: https://doi.org/10.3389/fenvs.2024.1436869

[13]Fu, C., Sun, X., Guo, M., et al., 2024. Can digital inclusive finance facilitate productive investment in rural households? An empirical study based on the China Household Finance Survey. Finance Research Letters. 61, 105034. DOI: https://doi.org/10.1016/j.frl.2024.105034

[14]Jin, S., Zhong, Z., 2024. Impact of digital inclusive finance on agricultural total factor productivity in Zhejiang Province from the perspective of integrated development of rural industries. PLOS ONE. 19(4), e0298034. DOI: https://doi.org/10.1371/journal.pone.0298034

[15]Zhou, J., Zhang, X., Korkmaz, A.G., et al., 2024. Mirroring the urban exodus: The impact of return migration on rural entrepreneurship. Finance Research Letters. 66, 105619. DOI: https://doi.org/10.1016/j.frl.2024.105619

[16]Wang, Y., Jiang, Y., Geng, B., et al., 2022. Determinants of returnees’ entrepreneurship in rural marginal China. Journal of Rural Studies. 94, 429–438. DOI: https://doi.org/10.1016/j.jrurstud.2022.07.014

[17]Guo, F., Wang, J., Wang, F., et al., 2020. Measuring China’s digital financial inclusion: Index compilation and spatial characteristics. China Economic Quarterly. 2020(4), 1401–1418. (in Chinese)

[18]Kong, S.T., Loubere, N., 2021. Digitally Down to the Countryside: FinTech and Rural Development in China. The Journal of Development Studies. 57(10), 1739–1754. DOI: https://doi.org/10.1080/00220388.2021.1919631

[19]Deininger, K., Jin, S., Ma, M., 2022. Structural Transformation of the Agricultural Sector in Low- and Middle-Income Economies. Annual Review of Resource Economics. 14, 221–241. DOI: https://doi.org/10.1146/annurev-resource-111820-033252

[20]Institute of Social Science Survey, Peking University, 2014. China Family Panel Studies: 2014 Full Questionnaires. Available from: https://www.isss.pku.edu.cn/cfps/docs/20181114143255988460.pdf

[21]Institute of Social Science Survey, Peking University, 2020. China Family Panel Studies: 2020 Full Questionnaires. Peking University: Beijing, China. Available from: https://www.isss.pku.edu.cn/cfps/docs/20231208162923723697.pdf

[22]Xie, Y., Hu, J., 2014. An Introduction to the China Family Panel Studies (CFPS). Chinese Sociological Review. 47(1), 3–29.

[23]Institute of Digital Finance, Peking University, 2021. Peking University Digital Financial Inclusion Index of China (2011–2020). Peking University: Beijing, China. (in Chinese)

[24]Gao, Q., Cheng, C., Sun, G., et al., 2022. The Impact of Digital Inclusive Finance on Agricultural Green Total Factor Productivity: Evidence From China. Frontiers in Ecology and Evolution. 10, 905644. DOI: https://doi.org/10.3389/fevo.2022.905644

[25]Peng, Y.L., Ren, Y., Li, H.J., 2021. Do credit constraints affect households' economic vulnerability? Empirical evidence from rural China. Journal of Integrative Agriculture. 20(9), 2552–2568. DOI: https://doi.org/10.1016/S2095-3119(20)63557-2

[26]Jiang, M., Paudel, K.P., Peng, D., et al., 2020. Financial inclusion, land title and credit: Evidence from China. China Agricultural Economic Review. 12(2), 257–273. DOI: https://doi.org/10.1108/CAER-01-2019-0020

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