Abstract: In order to measure the level of modern agriculture development in Chengdu-Chongqing Economic Zone, the principal component analysis method was used to comprehensively evaluate the level of development of modern agriculture in counties and the global Moran index and the local index were used to verify that whether the geographically adjacent regions were spatial correlated. The results showed that the difference in the level modern agriculture in Chengdu-Chongqing Economic Zone was significant, and the level of development of core area around Chengdu and Chongqing city was high while the intermediate zone and the peripheral zone was very low. Then based on the global Moran index and the local index, it is possible to locate the high concentration and low agglomeration region types to help to more accurately identify key breakthrough point in the weak agglomeration and cultivate agricultural industry clusters to drive regional development.