Analysis of Regional Economic Disparities in Guizhou Province Based on ESDA-GIS

Abstract

Take the county as the research scale and the per capita GDP as the measure index as well to reveal the difference of Guizhou Province’s regional economy which based on ESDA and GeoDA-GIS. It shows that the level of economic develop of Guizhou’s central area is high and surrounded area is low. The difference between North and south is greater than the difference between East and West. There is a clear spatial correlation among them. Moran scatter diagram shows that the majority of counties are located in the first and third quadrants, which accounted for 73.86% of the total number of the county. The number of “L-L” type is more than the number of “H-H” type 37 counties. Most parts of the provinces are relatively poor. Finding the “H-H” area and “L-L” area and “L-H” area and “H-L” area of economic development level of county based on the spatial correlation model. That can provide scientific basis for the future economic construction and social development of Guizhou province.

Keywords

• regional economic disparity
• spatial autocorrelation
• aggregation