Research on the Mechanism of Digital Technology Empowering Rural Financial Service Innovation for Farmers' Income Growth
Year: 2025
Type: article
Abstract: Digital financial inclusion has emerged as a promising approach for enhancing rural economic development, yet the precise engineering mechanisms through which these technologies affect agricultural income remain insufficiently quantified.This research develops an integrated technical framework to identify and measure the pathways connecting digital financial system deployment with farmer income growth across China's rural provinces from 2020-2024.Employing structural equation modeling and panel fixed-effects estimation, the study demonstrates that digital financial technologies enhance farmer income primarily through three engineering mechanisms: Information Processing Optimization (36.4% of total effect, path coefficient=11.82,p<0.01),Transaction Cost Engineering (28.7%, coefficient=9.32,p<0.01), and Resource Allocation Efficiency (21.3%, coefficient=6.91,p<0.01).The Digital Financial Inclusion index exhibits a robust relationship with farmer income (coefficient=32.47,p<0.01), with substantial variation in component effectiveness (Coverage Breadth: 25.36, Usage Depth: 17.64, Digitization Degree: 12.85).Temporal analysis reveals differentiated implementation curves, with Information Processing mechanisms reaching 90% effectiveness by month 10, while Resource Allocation systems continue developing throughout the 24-month observation period.Significant regional heterogeneity exists, with Information Processing demonstrating 9.7% higher impact in advanced digital infrastructure regions, while Transaction Cost Engineering shows 10.2% greater effectiveness in less developed areas.These findings provide engineering specifications for optimizing digital financial system deployment in agricultural environments, suggesting targeted implementation priorities based on existing infrastructure conditions, regulatory frameworks, and user capacity factors.The technical mechanisms identified offer a foundation for evidence-based policy design to enhance rural financial inclusion and agricultural development through digital technology.
Source: ZKG International
DOI: 10.63386/618505
Author: Huimin Ye
Institution: Hunan Women'S University
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4411205459