Abstract
Based on the panel data of 30 provinces and regions (except Taiwan, Hong Kong, Macao and Tibet) from 2010 to 2019, this paper measures the green development level of agriculture in China by using critic-entropy weight combined weight method, and then uses σ convergence and absolute β convergence methods to test its change trend. Based on the research conclusions, countermeasures and suggestions were put forward to make up for the shortcomings, promote the exchange and cooperation between provinces and regions, and narrow the differences between provinces, in order to provide reference for policy formulation and promote the green development of agriculture in China.
Highlights
Since the reform and opening up, China's agriculture has achieved rapid development, the output of agricultural products has increased steadily, agricultural production conditions have been greatly improved, agricultural structure has been continuously optimized, farmers' income has continued to increase, and great achievements have been made
It is of great significance to give full consideration to the cost of resources and environment in agricultural production, construct a reasonable evaluation index system of agricultural green development, and objectively evaluate and analyze the current situation of agricultural green development, which will gradually realize the transformation from traditional agriculture to green agriculture
In terms of core drivers, Shandong is represented by green supply and rural development, Beijing is represented by resource conservation and output efficiency, and Fujian is represented by environmental friendliness
Summary
Since the reform and opening up, China's agriculture has achieved rapid development, the output of agricultural products has increased steadily, agricultural production conditions have been greatly improved, agricultural structure has been continuously optimized, farmers' income has continued to increase, and great achievements have been made. In terms of research content, scholars have constructed a series of different index systems to measure the level of agricultural green development according to their different understandings of the connotation of agricultural green development[116]. Most of the existing studies still remain on the scientific measurement of the level of green agricultural development, and lack of further internal mechanism analysis. It is found that Critic method can comprehensively measure the strength of contrast and conflict among indicators, it cannot measure the degree of dispersion among indicators, and entropy weight method can make up for this deficiency 26. The main calculation steps are as follows: firstly, the positive and negative indicators in the index system are standardized to eliminate the possible impact of the dimensionless inconsistency of the indicators; Secondly, weight is given respectively based on Critic method and entropy weight method. If σ uσlt u,raitl indicates that there is no σ green development of 30 convergence in provinces and regions in China
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