Spatial distribution and autocorrelation pattern of Shenzhen service industries

Abstract

©, 2014, Editorial Office of Journal of Shenzhen University. All right reserved. Based on the establishment of Shenzhen service enterprises geographic database, spatial analysis is adopted to develop empirical research on Shenzhen service industry spatial distribution and autocorrelation patterns. Conclusions are drawn as follows: dot density rendering and centrographic statistics estimate the spatial distribution characteristics of geographic factors on the whole. Shenzhen service enterprises distribute with a strong trickle-down trend from the city center to the periphery. The weighted mean centers of Shenzhen service industries display an obviously western offset from the geometry center. Indicated by Moran's I verifications, Shenzhen service industries have different global spatial autocorrelations. Also Shenzhen services with high proportion of added values (≥3%) show diversified local spatial autocorrelations on agglomerative subdistricts. Regional industrial division has been formed, which is the result of cooperative effect of location condition, economic ties, and government planning. Furthermore, it would be necessary to keep customized spatial development policies for the specific service industry, because of the existence of urban regional differences and industrial heterogeneity.