Spatial Divergence and Dynamic Evolution of the Development Levels of Seven Major Industries in Global —Empirical Analysis Based on the Fortune Global 500 from 2000 to 2020

To measure the development status, spatial and temporal divergence and development trend of the seven industries in North America, East Asia and Europe, Dagum Gini coefficient, Kernel density estimation and Markov chain method were used for empirical analysis. It is found that there are regional differences in the development levels of the seven industries in the three major regions, and the differences within different regions are ranked from high to low, and the main source of the overall gap is inter-regional differences; in addition, the probability of inter-stage transfer of the development levels of the seven industries is relatively small, with a certain degree of neighbor dependence. Based on both temporal and spatial dimensions, the current development status of the seven global industries is assessed, and the regional industrial development trends are predicted to provide evidence to support the current development status of key industries, and to provide a reference for the national decision on the global regional layout of key industries as well as the development direction.