Research on the Influencing Factors of the Digital Economy on the Agricultural Modernization Level Based on the Spatial Regression
In order to evaluate the development level of the agricultural modernization sci-entifically,the relevant index data of the agricultural modernization in 31 provinces in China during the years from 2013 to 2021 are collected and the entropy method is used.The spa-tial characteristics of the agricultural modernization level are explored by using the spatial correlation analysis theory.A suitable spatial regression model is established to examine the influence of the digital economy on the agricultural modernization level.It can be seen that the development level of the agricultural modernization displays some significant regional variations and increases steadily year by year.At the same time,there is a significant spatial agglomeration effect in the level of agricultural modernization.The spatial agglomeration effect which is characterized by a high-high or low-low spatial association pattern in most provinces and their neighboring provinces can also be found.The level of digital infrastruc-ture,the level of enterprise digital development and the level of digital economy industry development are the main factors that affect the development of the agricultural moderniza-tion,and all have spatial spillover effects.Therefore,it is recommended that each province makes use of its own advantages and formulates the agricultural development strategies tai-lored to local conditions.The government should increase the financial support,promote the infrastructure construction,attract the digital economy talents and improve the software and hardware foundation for the digital transformation to improve the levels of the digital infrastructure and economic industry development.
digital economyagricultural modernizationentropy methodspatial correla-tion analysisspatial dubin model
NETL
NSTL
万方数据
