Abstract: Based on the perspectives of industrial synergy and spatial difference, using the synergy model, nuclear density estimation, Gini coefficient and gravitation model to calculate the coordination degree of four-dimensional composite system, composed of tourism industry, technological innovation, modern finance and human resources during 2010 to 2017. Further, the multi-scale analysis framework of “economic belt-basin-provincial” is constructed, to analyze the dynamic evolution characteristics of the spatial differences of the synergy degree. The conclusions are arrived as follows: 1) The development of all industries shows the dynamic time series characteristics of steady improvement over time, but it is still insufficient. And, they all show the spatial non-equilibrium characteristics of the relative advantages of the Northeast. Among them, the equalization of technological innovation behind lags behind the other three, significantly. It portends that technological innovation is the key factor affecting the whole system synergy. 2) The synergy degree of is slowly increasing, showing a spatial trend of “higher in the northeast and lower in the southwest”, which is relatively stable. Compared with the downstream of the Yangtze River Economic Belt, the synergy degree of the middle and upper reaches has a “cliff-style” decline, with an average “time lag” of 2 to 3 years. Unbalanced development trend is difficult to eliminate in a short time. 3) The regional differences of the synergy degree are gradually easing in the Yangtze River Economic Belt. Divided by the region of hierarchical basin, the difference is mainly due to the high degree of interlacing among the three major river basins, but the contribution rate tends to decline. In contrast, intra-basin and inter-basin differences gradually contribute, and inter-basin differences have a stronger impact on the overall difference than intra-basin differences. Therefore, coordinating the inter-basin differences between the upper and middle basins is still the focus of future work. 4) In terms of provinces, the potential energy value of Shanghai, Jiangsu, Zhejiang and Anhui is nearly three quarters of the total, which is much higher than that of other provinces. In the space, the two-wheel drive development network structure of “Jiangsu, Zhejiang and Shanghai as the core and Sichuan and Chongqing as the sub-core” has gradually formed, and the synergy level of the middle and upper reaches has gradually been promoted.