Abstract:Based on the panel data of 1173 counties in mainland China from 2000 to 2017, this paper estimates the agricultural TFP growth of counties in China by using sequential DEA method, and adopts Dagum Gini coefficient and Kernel density methods to investigate regional difference in county agricultural TFP growth and its dynamic evolution. The results show that county agricultural TFP grew at an average annual rate of 3.02% and exhibited significant regional unevenness and phase fluctuations. The regional difference in agricultural TFP growth of counties in China have increased gradually, with the highest contribution of hypervariable density to regional differences in county agricultural TFP growth, and relatively low contributions from intra-regional differences and inter-regional differences. The regional gap of agricultural TFP growth continues to widen, which is mainly presented as the “bimodal distribution”. The regional disparity of agricultural TFP growth in the Eastern region is changing from the “bimodal distribution” to the “unimodal distribution”,while the gap of agricultural TFP growth in the Central and Western region shows the “bimodal distribution”.Therefore,it is proposed to promote the county agricultural TFP growth by making frontier technological progress and improving the “dual drive” model of technical efficiency,promoting the flow of agricultural factor resources between counties, and strengthening financial support for agriculture.