Abstract: This study analyzed the temporal and spatial evolution of county economy development in Fujian province from 2008 to 2018, and analyzed the spatial correlation and difference by using the global spatial autocorrelation analysis tool. The geographical weighted regression model （GWR） was used to determine the influencing factors of county economy development, and the temporal and spatial evolution characteristics of each factor were analyzed. The results showed that, ①during the study period, the level of county economy development in Fujian province had been gradually improved, and the coordination degree of regional economy development had been continuously improved, but there was a phenomenon of unbalanced development; ②there was a high degree of spatial autocorrelation between the county economy development in Fujian province, and the economy development of each county had a strong correlation; ③in addition to the positive effect of consumption level on the county economy development, the effects of other factors were positive and negative, and the influence difference on county economy development was obvious. At last, the study put forward some ways to promote the development of county economy, such as expanding domestic demand, stimulating consumption, stimulating investment, reasonably controlling fiscal expenditure, and improving the quality of urbanization.

Key words: county economy, GWR, influence factors, temporal and spatial evolution, Fujian province