Research on Web based GMM Model for Digital Agricultural Economic Growth System

This study focuses on digital agriculture and explores its role in the agricultural economic growth system. Through comprehensive literature analysis, the core concept of digital agriculture and its impact mechanism on economic growth were deeply explored. A digital agriculture evaluation index system based on web technology was constructed using panel entropy method, and its development was evaluated and analyzed from multiple dimensions. The relationship between digital agriculture and agricultural economic growth was thoroughly examined using the system GMM model, with a comprehensive regional heterogeneity analysis aimed at uncovering how digital agriculture influences economic development in the agricultural sector. The study placed particular emphasis on the essential role of web technologies in advancing digital agriculture. A panel threshold model facilitated the exploration of the non-linear dynamics between digital agriculture and agricultural economic growth. Additionally, insights derived from the market-driven allocation of data elements were utilized to formulate policy recommendations that encourage the advancement of digital agriculture, underlining the significance of data elements in the context of agricultural economic growth. The results indicate that the sustained progress of digital agriculture has a notable and positive effect on agricultural economic growth, with web technology being crucial in this relationship.