Abstract: Based on a dataset consisting of Gross Output Value of Industrial Enterprises above Designated Size and inter-county immigrants of 102 counties in 2000 and 2010, the spatial patterns of industries and immigrants in Hubei province are analyzed by univariate spatial correlation model firstly. Then, the spatial correlation between the inter-county distribution of industries and immigrants is measured by bivariate spatial autocorrelation model. Finally, the interaction between population immigration and industrial agglomeration is investigated based on the Panel Data Simultaneous Equations Model. The main results are as follows. (1) The inter-county distributions of immigrants and industries in Hubei province are spatially correlated positively. The bivariate LISA cluster maps indicate that the “High-High” type clusters distribute in the areas consisting of Wuhan city and its neighboring counties, and the “Low-Low” type clusters distribute in the western areas. (2) The interaction between population immigration and industrial agglomeration is significant. Ceteris paribus, if the degree of industrial agglomeration increased by 1 percent, the amount of overall inter-county immigrants and intra-provincial inter-county immigrants would increase by 0.544 9 percent and 0.602 3 percent respectively. In the other hand, if the amount of overall inter-county immigrants or intra-provincial inter-county immigrants increased by 1 percent, the degree of industrial agglomeration would increase by 0.294 percent or 0.267 8 percent correspondingly. (3) The provinces that characterized by relatively lower level of socio-economic development in the central and western China should promote the co-agglomerations between population and non-agricultural industries to foster growth pole. So that the objectives of regional economic growth and inter-regional coordinated development might be attained.
Key words：inter-county immigration; industrial agglomeration; spatial correlation; interaction; Hubei province