DYNAMIC CORRELATION ANALYSIS OF REGIONAL LOGISTICS FROM THE PERSPECTIVE OF MULTIFRACTAL FEATURE

The role of modern logistics in economic development is being highlighted and regional logistics has an effective role in the development of various industries such as regional trade, tourism and finance and has important value for the reduction of enterprise material consumption and the improvement of comprehensive service quality. The main research content of multifractal theory is fractal systems' scale distribution characteristic, which is to reveal the intrinsic scale invariance of irregular shapes in nature by mathematical methods, and to analyze the characteristics of the original system and the inherent evolution of dynamics. System dynamics simulation of the logistics economic system is helpful to understand the development trend and mutual relationship of regional logistics and regional economy, and provide countermeasures and suggestions for the development of the two. On the basis of summarizing previous study results, this paper analyzed the research situation and significance of dynamic correlation analysis of regional logistics, expounded the development background, current status and future challenges of fractal theory, elaborated the basic principle and method of correlation test and phase space reconstruction of time series, performed the multifractal characteristic analysis of regional logistics industry's agglomeration degree and time series, constructed dynamic correlation analysis model of regional logistics based on multifractal theory, discussed coupling correlation between regional logistics dynamics and multifractal dynamics; and final empirical analysis showed that the dynamic correlation between the development level, variation speed and variation acceleration of regional logistics has multiple fractals and time-dependent nonlinear dependence; the proposed analytical model can effectively analyze and predict the dynamic development trend of regional logistics. The study results of this paper provide a reference for further researches on the dynamic correlation analysis of regional logistics from the perspective of multifractal feature.