MEASUREMENT OF DIGITAL RURAL DEVELOPMENT LEVEL AND ITS INFLUENCING FACTORS IN THE YANGTZE RIVER DELTA REGION

Vollständiger Abstract

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This paper proposes a data-driven method for measuring the level of regional digital rural development. Based on data collection and application across dimensions such as digital infrastructure, digitalization of rural economy, digital governance, and digital rural life, an evaluation index system for digital rural development is constructed. The entropy weight TOPSIS model is applied to measure and evaluate the overall level of digital rural development and its four subsystems, providing targeted policy recommendations. The obstacle degree model is employed to identify key factors constraining the improvement of digital rural development. Taking the Yangtze River Delta region from 2014 to 2023 as a case study, the paper demonstrates the implementation process of the data-driven approach. The research results validate the feasibility of the proposed methodology, offering theoretical and methodological support for digital rural development studies and management, and providing decision-making foundations for enhancing regional digital rural development, promoting high-quality rural development, and achieving common prosperity.