The Spatial Pattern and Its Influencing Factors of County Consumption Level in Jiangsu Province
基于人均零售额数据，用探索性数据分析和分位数回归，研究了1995-2011年江苏县域消费水平的空间格局演变及影响因素，发现消费水平呈北低南高集聚分布，收入、城镇化等有正向作用，固定投资有抑制作用。
This paper characterizes the consumption level based on the per capita retail sales. by using the method of exploratory data analysis, we explore the spatial pattern and evolution of regional consumption level from 1995 to 2011in Jiangsu Province. then, explain the pattern evolution through the quantile regression results. the main conclusions are as follows: the calculation of global autocorrelation shows that the regional consumption level presents significant spatial agglomeration and fluctuating increase trend from 1995 to 2011; 2004 year is mutation point of regional consumption level through the mutation of global autocorrelation index. from 1995 to 2004 year, the spatial distribution and the gap of regional consumption level is comparatively balanced and small. However, from 2004 to 2011, the regional consumption level shows unbalanced development and the gap tends to widen, the space differentiation pattern increasingly expands;the spatial pattern evolution of the consumption level shows that the cluster differentiation pattern has been enhancing and stabilizing and presents the continuousnorth-low and south-highconcentrated distribution since 1995; the quantile regression results profoundly delineates how the variables influencing regional consumption level in size effect, direction and degree. Specifically, per capita income, urbanization rate, per capita GDP and the proportion of the tertiary industry play a positive role in regional consumption level, but fixed investments shows inhibited effect. other relative factors,such as the employees of secondary and tertiary industries, highway mileage and per capita financial expenditure have obviously different effects on regional consumption level from 0.1 to 0.9 quantile points; this may be influenced by other factors or the correlation of the selected variables. Finally, according to the results and analysis, several corresponding measures are put forward.