Welcome to Francis Academic Press

Academic Journal of Business & Management, 2025, 7(8); doi: 10.25236/AJBM.2025.070805.

The Impact of Digital Finance Development on Urban-Rural Income Gap——Mechanism Analysis Based on the Availability and Inclusiveness of Financial Services

Author(s)

Jinglong Li

Corresponding Author:
Jinglong Li
Affiliation(s)

China Academy of Machinery Beijing Research Institute of Mechanical & Electrical Technology Co., Ltd., Haidian, Beijing, 100083, China

Abstract

This article focuses on the impact of digital finance development on the urban-rural income gap, with a particular emphasis on analyzing the mediating mechanisms of financial service accessibility and inclusiveness. Through theoretical analysis and combined with provincial panel data from 2011 to 2022, empirical tests were conducted using panel fixed effects model and mediation effect model. Research has found that the development of digital finance significantly narrows the income gap between urban and rural areas. For every 1 unit increase in its index, the income ratio of urban and rural residents decreases by 0.0023; The accessibility of financial services (intermediary effect value -0.0016) and inclusiveness (intermediary effect value -0.0014) are key transmission pathways, with accessibility playing a slightly dominant role; This effect is more significant in the central and western regions, reflecting regional heterogeneity. The research provides theoretical basis and policy inspiration for optimizing urban-rural income distribution and promoting common prosperity through digital finance.

Keywords

Digital Finance; Urban-Rural Income Gap; Accessibility of Financial Services; Financial Inclusion

Cite This Paper

Jinglong Li. The Impact of Digital Finance Development on Urban-Rural Income Gap——Mechanism Analysis Based on the Availability and Inclusiveness of Financial Services. Academic Journal of Business & Management (2025), Vol. 7, Issue 8: 32-39. https://doi.org/10.25236/AJBM.2025.070805.

References

[1] Zong J C, Zhu X X. Behavioral Choices, Market Risks, and Conduct Regulation in the Era of Digital Finance [J]. South China Journal of Economics, 2025, (4): 30-42.

[2] Xiao Z H, Yuan H. The Positive Analysis of the Xuzhou Economic Development Environment Bearing Capacity——Based on the Theory of the Environmental Kuznets Curve [J]. East China Economic Management, 2008, (6): 12-16.

[3] Meng X F, Shi H Y. Survey of Transformer-Based Model for Time Series Forecasting [J]. East Journal of Frontiers of Computer Science and Technology, 2025, (1): 45-64.