A research on measure of regional agricultural economic development level based on Entropy-CRITIC method and K-Means

Abstract

The continuous promotion of China's rural revitalization strategy has not put forward higher requirements for the development of overall agriculture. However, it is difficult to regulate the status quo of unbalanced regional economic development. Based on this, this paper selects the provinces and cities in Sichuan Province from 2018-2020 as the research object and constructs a regional agricultural economic development level index system, and then uses the entropy value CRITIC method to assign weights and carry out linear weighting to obtain the regional agricultural economic development level index from the consideration of the volatility and conflict of data. Then, K-Mean clustering was used to analyze the level of agricultural economic development in Sichuan Province from two dimensions: geographical and temporal. The empirical results show that: from the time dimension, the comprehensive index of high-quality agricultural economic development in most regions shows a trend of increasing year by year since 2018-2020; from the geographical dimension, it shows the form of strong in the north and weak in the south, and strong in the center and weak in the fourth. Finally, this paper puts forward relevant suggestions for the development of regional agricultural economy in conjunction with the actual situation.