Mechanisms of Digital Financial Inclusion on New Quality Productivity in Agriculture

Authors

  • Canjie Chen
  • Songyan Zhang
  • Heng Luo

DOI:

https://doi.org/10.54097/ydva4c44

Keywords:

Digital financial inclusion, new quality productivity in agriculture, traditional financial development, regional innovation

Abstract

Digital financial inclusion is an important tool to promote new quality productivity in agriculture and a strong agricultural country. To investigate how digital inclusive finance empowers new quality productivity in agriculture. First, on the basis of theoretical analysis, the entropy value method is applied to measure the indicators of new agricultural productivity in 31 Chinese provinces excluding Hong Kong, Macao, and Taiwan from 2012 to 2023; Second, the fixed effect model, the mediation effect model and the threshold effect model are applied to study the paths and mechanisms of digital inclusive finance empowering agricultural new quality productivity. The study finds that digital inclusive finance significantly promotes the development of new quality productivity in agriculture. Heterogeneity analysis shows that digital financial inclusion has a facilitating effect on new agricultural productivity in the eastern, western, and northeastern regions, while it has a dampening effect in the central region. The mechanism analysis shows that digital inclusive finance empowers the development of agricultural new quality productivity by promoting the level of traditional financial development and the development of regional innovation capacity. The results of the threshold test indicate that there is a double threshold for digital financial inclusion and that it shows a marginal incremental boost to new quality productivity in agriculture. Accordingly, It is advisable to improve the construction of digital infrastructure and cultivate professionals; To promote the balanced development of digital inclusive finance in each region according to local conditions; To give full play to the complementary advantages of digital inclusive finance and traditional finance; And to strengthen regional technological innovation to release the potential of digital inclusive finance.

Downloads

Download data is not yet available.

References

[1] You, L., & Tian, X. (2024). Agricultural new quality productive forces: Realistic logic, connotation analysis, and generation mechanism. Economic Issues, (6), 27–35.

[2] Wang, F., Han, X., & Chen, R. (2024). New quality productive forces empowering modern industrial system: Internal logic and realization path. Contemporary Economic Management, 46(6), 12–19.

[3] Jiang, Y., & Qiao, Z. (2024). New quality productive forces: Logic, connotation, and path. Social Science Research, (1), 10–18, 211.

[4] Song, Z., Leng, M., Zhou, B., et al. (2024). China's agricultural new quality productive forces: Evaluation system construction, dynamic evolution, and policy implications. Journal of Agro-Forestry Economics and Management, 23(4), 425–434.

[5] Wei, Y., Wang, B., & Ma, L. (2024). Measurement of China's agricultural new quality productive forces and its impact on output efficiency: Based on the E-CRITIC weight evaluation method. Statistical Theory and Practice, (12), 11–20.

[6] Yang, H., & Li, H. (2024). The impact of agricultural new quality productive forces on cultivated land use ecological efficiency: A case study of the Yangtze River Economic Belt. China Land Science, 38(11), 94–104.

[7] Yang, W. (2025). The impact of agricultural new quality productive forces on rural residents' consumption upgrading: Based on mediation and threshold effects. Commercial Economic Research, (2), 53–57.

[8] Chen, P., Huang, K., & Zhu, C. (2025). Research on the impact of agricultural new quality productive forces on agricultural carbon emission intensity. Modernization of Management, 45(1), 21–31.

[9] Zhou, P., Cai, Y., & Long, X. (2024). The impact effect and policy recommendations of digital inclusive finance on agricultural new quality productive forces. Southwest Finance, (11), 45–58.

[10] Jia, K., & Guo, Q. (2024). Research on the impact of digital inclusive finance on agricultural new quality productive forces. Journal of Central China Normal University (Humanities and Social Sciences), 63(4), 1–13.

[11] Tan, Q., Cai, T., & Tang, Z. (2023). Does digital inclusive finance empower high-quality agricultural development? Empirical evidence based on China's provincial panel data. Modernization of Management, 43(6), 30–38.

[12] Hua, J., Yu, J., Song, Y., et al. (2024). The enabling effect of digital economy on high-quality agricultural development—Evidence from China. Sustainability, 16(9), 3859.

[13] Wang, S., & Chen, Y. (2022). How digital inclusive finance promotes high-quality agricultural development: Concurrently discussing intermediary and threshold mechanisms. Management Journal, 35(3), 72–87.

[14] Lu, Z., & Du, Y. (2022). Empirical research on digital economy empowering high-quality agricultural development. China Business and Market, 36(11), 3–14.

[15] Zhang, L., & Wen, T. (2022). How digital inclusive finance affects the integrated development of rural industries. Chinese Rural Economy, (7), 59–80.

[16] Li, Y., & Yan, F. (2024). Spatial spillover and threshold effects of digital inclusive finance on agricultural economic resilience: A case study of prefecture-level cities in the middle and lower reaches of the Yangtze River. Journal of China Agricultural University, 29(9), 282–259.

[17] Zhang, A., & Deng, R. (2022). The impact and spatial spillover effects of digital inclusive finance on agricultural green total factor productivity. Wuhan Finance, (1), 65–74.

[18] He, J., & Li, Q. (2019). Digital finance usage and farmers' entrepreneurial behavior. Chinese Rural Economy, (1), 112–126.

[19] Liu, Z., & Zhang, T. (2021). The impact of digital inclusive finance on farmers' income and its spatial spillover effects. Contemporary Economic Research, (12), 93–102.

[20] Tian, J., & Ma, X. (2020). Analysis of the effect of digital inclusive finance in promoting agricultural transformation and upgrading: An empirical study based on inter-provincial panel data. Credit Reference, 38(7), 87–92.

[21] Guo, J., & Gu, L. (2022). Can agricultural supply chain finance effectively alleviate corporate financing constraints? An empirical study on the participation of agricultural enterprises in targeted poverty alleviation. Operations Research and Management Science, 31(3), 112–118.

[22] Zhang, D., & Jiang, L. (2018). The enabling role and path of fintech in the transformation of traditional commercial banks. Southwest Finance, (11), 13–19.

[23] Wang, L., Chen, J., He, L., et al. (2023). Fintech application and agricultural credit risk: Evidence from 980 rural commercial banks. Financial Theory and Practice, (8), 53–64.

[24] Al-Dmour, H. H., Asfour, F., Al-Dmour, R., et al. (2020). The effect of marketing knowledge management on bank performance through fintech innovations: A survey study of Jordanian commercial banks. Interdisciplinary Journal of Information, Knowledge, and Management, 15, 203.

[25] Du, N., & Zhao, J. (2023). Can digital finance promote innovation and entrepreneurship? Evidence from 280 prefecture-level cities. New Finance, (3), 50–56.

[26] Deng, X., Yang, J., & Wang, W. (2019). The entrepreneurial effect of inclusive finance: Theoretical mechanisms and empirical tests. Financial Regulation Research, (1), 53–68.

[27] Zhu, Q., Bai, J., Peng, C., et al. (2019). Does informatization improve agricultural productivity? Chinese Rural Economy, (4), 22–40.

[28] Zhao, D., & Tan, Y. (2018). Research on the relationship between institutional innovation, technological progress, and large-scale operation and farmers' income growth. Inquiry into Economic Issues, (9), 165–178.

[29] Zhou, S., & Wang, W. (2001). Technological innovation and industrial structure optimization and upgrading. Management World, (5), 70–78, 89–216.

[30] Jin, C., Xu, A., & Qiu, K. (2022). Measurement and spatial correlation research on the development level of China's provincial digital economy. Journal of Statistics and Information, 37(6), 11–21.

[31] Cui, F., & Zhu, X. (2025). Digital agricultural new quality productive forces, rural labor transfer, and urban-rural income gap. Statistics and Decision Making, (5), 25–30.

[32] Chen, H., & Wang, P. (2025). Research on the impact of agricultural new quality productive forces on farmers' income. Journal of Shanxi Agricultural University (Social Science Edition), 24(3), 22–36.

[33] Zhu, D., & Ye, L. (2024). China's agricultural new quality productive forces: Level measurement and dynamic evolution. Statistics and Decision Making, 40(9), 24–30.

[34] Gan, C., Zheng, R., & Yu, D. (2011). The impact of China's industrial structure change on economic growth and fluctuation. Economic Research Journal, 46(5), 4–16, 31.

[35] Yang, G., & Zhang, H. (2022). Digital inclusive finance, regional innovation, and economic growth. Statistics and Decision Making, 38(2), 155–158.

[36] Li, M., & Feng, S. (2023). Digital inclusive finance, digital divide, and urban-rural income gap. Management Review, 35(6), 57–71.

Downloads

Published

15-03-2026

Issue

Section

Articles