Spatial autocorrelation analysis of increment of per capita net income in rural areas in provinces of China

Abstract

Spatial autocorrelation is one kind of spatial statistics, which is used to disclose the spatial structure of regional variable. The article analyzes the increment of per capita net income in rural areas in the periods of 1988∼1998 and 1998∼2007 in each province of China. And by the national and local statistics analysis, the authors find out the increment of per capita net income in rural areas wholly takes on a significant spatial positive correlation in China, but in three regions of east, central and west, it shows different spatial association structures. Furthermore, this essential spatial structure is not changed, but tends to strengthen by developing more than twenty years. The paper will offer an important reference when analyzing the spatial structure of regional economy and making decision.