Abstract:Taking the Yangtze River Economic Belt and its upper,middle and lower reaches as empirical objects,this paper firstly depicts the influence mechanism of regional integration on land finance dependence and further examines the impact of regional integration and decomposition indicators on land financial dependence by using spatial dynamic panel model based on spatial lag effect.The results show that regional heterogeneity exists in the “dependency effect” of regional integration on land finance and its specific performance is as follows:① There is a significant inverted “U” curve relationship between regional integration and land finance dependence in the Yangtze River economic belt and its middle and lower reaches,which means the land finance dependence will enter the declining period respectively in 2049,2057 and 2031 when the levels of regional integration in three regions reach respectively 0.889 6,0.964 5 and 0.967 1.The level of regional integration increases by 1% in upper reaches,land finance dependence will increase by 0.606 9%; ② According to the decomposition index of regional integration,the relationship between economic integration and land finance dependence is most significant,and the Yangtze River Economic Belt will enter the decline stage of land finance dependency when its level of regional integration reaches 0.963 2.While social integration increases by 1%,land financial dependency will increase by 0.011 7%-0.591 2%.In addition,under the overall scale of the Yangtze River Economic Belt,the relationship between spatial integration and land financial dependence conforms to the inverted “U” type hypothesis,while the inverted “U” relationship between institutional integration and land financial dependence is only presented in the upper,middle and lower reaches.In order to make rational use of land finance and promote the harmonious governance of government,some suggestions are put forward,including optimizing regional spatial linkage environment,formulating differential development strategy and perfecting supervision and early warning system.