Analysis of Regional Economic Spatial Agglomeration Characteristics in Jilin Province Based on Spatial Autocorrelation Theory

Abstract

- The theory of spatial autocorrelation analysis is applied to the study of clustering characteristics of the regional economy. Taking 60 county-level economic units in Jilin province as the research object, this paper made an empirical analysis on the spatial clustering characteristics of the regional economy, avoided the problem of non-uniform levels of statistical data units, analyzed the spatial autocorrelation of GDP, the primary industry, the secondary industry and the tertiary industry of GDP in Jilin province from 2010 to 2017, and made a quantitative analysis on the significance of clustering degree. On the whole, the regional economy of Jilin province has significant spatial clustering, showing the characteristics of positive spatial correlation. The significant spatial clustering units account for about one-third of the whole Jilin province. The overall agglomeration degree changed little from 2010 to 2017. The spatial clustering degree of the primary industry and the tertiary industry was consistent with GDP, while the clustering degree of the secondary industry was lower than that of the primary industry and the tertiary industry. To promote the coordinated development of the regional economy in Jilin province, it is necessary to keep close track of the changes of the clustering area and adjust regional economic policies in time.