Spatial Correlation Analysis Of Economic Development In Northeast China

Tobler advocate in Geography "geospatial entities are often interrelated, establish closerlinks between entities, especially the neighboring entities." Associated with the level ofregional economic development has become one of the hot economic geography research.Many scholars try to ESDA (Exploratory Spatial Data Analysis) methods introduced to theregional spatial association. Based on regional growth pole theory and spatial interactiontheory, the use of exploratory spatial data analysis ESDA tool Geoda (1.4.0version) andArcgis9.3, spatial analysis of the association Northeast. Select2003to2012Northeast236units per capita GDP spatial correlation analysis, analysis of regional differences in theconclusions to identify the causes and provide reference for the integrated development of theregion. To achieve effective interaction between the county, the county to build a competitive,to promote coordination between the county to achieve balanced development, the completionstrategy of revitalizing the old industrial base with the goal of one day earlier theoretical andpractical significance.This paper describes the association of regional economic development theory, and thespatial weight matrix comparing theories from the right, and41cities in the Northeast regiondifferences in the overall level of economic development trend analysis, county briefdescription of the overall pattern of economic space. ESDA method using the economicdevelopment of the northeast region of spatial autocorrelation analysis of the236counties inNortheast into four types, and explain the causes of differences in economic development.The main conclusions are as follows:First, the absolute difference in the northeastern region41cities was widening, therelative differences were narrowing trend, the overall differences were slowly narrowingtrend.Second, the spatial pattern of economic level on the whole northeast region from south tonorth, from east to west pattern, highlighting the Harbin-Dalian gradual economic zone andLiaoning coastal economic belt, formed the core of the city as the center-periphery structure.Third, there is a positive correlation between the county’s economic space in NortheastChina, Mongolia and Liaoning South East regional gathering center for the high value, andSuihua northwestern areas and the surrounding areas as the center of the low concentrationcenters.Innovation of this paper is reflected in two aspects: First level cities and county-levelcities interaction studies, explain the causes of economic disparity Northeast better; Second, empirical innovation, the use of spatial autocorrelation method Northeast236space unitsassociated with the level of regional economic analysis, and236units are classified. Researchon differences in the level of economic development issues provides a combination ofqualitative and quantitative research framework.