The Analysis Of Spatial Association Of County Economic In Zhejiang Province Based On ESDA

In terms of resource endowments, Zhejiang can be said that "poverty", but after thirty years ofdevelopment, Zhejiang became to be the most developed region of China, the contribution of the countyeconomycannotbeignoredduringthisprogress.In2012the countyassessmentoftophundredcountiesIssued by County Economic Research Institute in,Zhejiang exclusive20seats-the county economy hasbecomeanindispensablepartofZhejiang’s economywhichisthemainsources ofsupportandmotivation.However,different levelsofeconomicdevelopmentbetweenthecounty differences is obvious,predecessorshavedonealotofresearchontheZhejiangEconomicdevelopmentandregionalco-ordination,andalsoputforwardcorrespondingcountermeasuresandsuggestions,butmostscholarsstudiedthisissueestablishedonexisting spatial pattern of Zhejiang,but in fact based on the regional proliferation and polarization effects intheprocessofregionaleconomicdevelopment,anditsassumptionofindependentdevelopmenttheorydoesnot exist, the regional economy there is some space on the development of the association. In this paper,GDPpercapitaasameasureofeconomicdevelopment,withtheESDAresearchmethods,stagesofspatialassociation of county economy in Zhejiang Province. Face-based global clustering test showed that theprovince-widedistributionofthecountyeconomyhaschangedthedispersionstateofreformandopeningup,constantly enhance the overall correlation, showing a significant positive correlation between the globalspace. Local clustering tests show accompanied by enhanced global relevance, while differences inNorth-South of Zhejiang county economy continues to expand, regional polarization effect is remarkable.Based on different spatial association patterns, compared to OLS regression analysis, and introduces ahysteresis effectin SARspatialregression analysisto exploretheinfluenceofthemainfactors ofeconomicgrowthcounty.ComparisonOLSregressionmodelandSARregressionmodelanalysis,wefoundthatthecounty ’s economic growth Zhejiang obvious spatial lag effects and spatial lag effect of the introduction ofSAR model improves the regression equation fitting effect. Through at different times, different spatialmodes, SAR regression results indicate that the per capita capital stock, the level of urbanization, thedevelopment of secondary industry, the per capita investment in fixed assets for the long-term economicdevelopment in Zhejiang Province, the county unit significantly, with the adjustment and upgrading ofindustrial structure, improve the level of urbanization, the development of tertiary industry and the role oflabor quality only gradually revealed. Regression results also show that road construction is not affectedcounty, Zhejiang Province, a key factor in economic development. With the growing spatial correlation, Zhejiangcounty’seconomicgrowthlaggedeffectsofspaceisalsogrowing.Ascapital,knowledgelaborandother factors of mobility flows between the adjacent county larger target county ’s industrial structure andurban construction is the ability to attract capital functions, personnel inflows key in deciding whether thecountyeconomymaintainedarapidgrowthimportantfactor.