| According to the theory of economic geography, industrial economics, spatialeconomics, urban economics and other disciplines, based on ESDA methods anddynamic panel data model, integrated metering software using of Stata, GeoDA andARCGIS10, systematically study the characteristics, stage, type and the correlationof industrial space differentiation and urban agglomeration spatial organization, theestablishment of a dynamic panel data model to quantify the mathematical modelbetween industrial space differentiation and spatial organization of urbanagglomerations.Firstly, analysis the manufacturing industry agglomeration and diffusion of theYangtze River Delta city group in2001-2010, the layout of the manufacturing sectorin the urban agglomerations and regions. Trying to solve two problems: in the last10years, what’s the manufacturing layout of the Yangtze River Delta city group andregional specialization? What’s the role of industry spatial differentiation play forurban agglomeration and regional specialization? Prepare for further study.Secondly, I use the exploratory spatial statistical analysis (ESDA) to study thecorrelation of the Yangtze River Delta manufacturing spatial differentiation andspatial structure of urban agglomeration economy. This essay studies the problemrespectively from the dimensions of time and space. In the time dimension, throughglobal Moran index to analyze the overall agglomeration and diffusion trend ofYangtze River Delta manufacturing and urban agglomeration economy in2001-2010;In spatial dimension, select the Moran scatter plot in2001and2010, do transverseand longitudinal comparative analysis, combined with LISA cluster map, andanalyze both locally relevant, spatial and temporal evolution.Thirdly, Urban agglomeration economies is a comprehensive reflection of thespatial organization of the urban agglomeration, on the basis of analysis of theinteraction mechanism of industrial space differentiation and urban agglomerationsspatial organization, focusing on the industry differentiation and urbanagglomeration economies, through the establishment of dynamic panel model, usingdifference GMM estimation method to obtain the mathematical results of industrialagglomeration, industrial structure, urban agglomeration economies, and themeasurement results is significant. The results show that the industry gathering forthe regional economy has a significant impact, but the impact is a kind of non-linear relationship, industrial agglomeration on the overall economic growth of the urbanagglomeration showing deterioration after the first promotion, shaped a “U†curve,industry structure for urban agglomeration economies have a significant positiveimpact.Finally, we proposed some policy implications according to conclusions. |
