Study On The Spatial Structure And Collaboration Network Of Regional S&T Development Based On GIS

This thesis mainly discussed the spatial structure and collaboration network of regional S&T in China. From the perspective of spatial econometrics, introducing Geographical Information Systems (GIS) to regional S&T study, and using GIS, Exploratory spatial data analysis (ESDA) and traditional statistical methods, this thesis designed the research frame to analyisi the regional S&T development, made qualitative analysis of spatial analysis and dynamic imbalance of regional S&T geographical distribution, mapping the spatial evolution, and made quantitative analysis of the degree of difference, analyzed the correlation between the disequilibrium of region S&T spatial difference and economic development, in order to seek the possible route for developing regions to accelerate the S&T development and achieve the great-leap-forward development.The main research questions include: (1) The spatial difference of regional S&T in China and its evolution. This thesis selected evaluating indicators from the perspective of S&T input and output, and then presented the research framework. Firstly the thesis compared the absolute difference of S&T inputs and outputs from the level of three zones, the results showed that the east zone is well ahead of middle and west zones. Then from the provincial leves, the results of CV index and Theil index show that the spatial difference of many S&T indicators are increasing. And the global spatial trend analysis also indicates the feature of high to low from the east to west. (2) The spatial clustering and spatial influence of regional S&T development in China. The thesis analyzed the spatial clustering of regional S&T development from the spatial statistics. Beiijng and Yangtze River Delta are two clustering centersm, the eastern coastal regions have high clustering degree, while the northwest is the lowest, the central provinces, southwest and northeast are at intermediate stage. The result of Moran's I and LISA clustering analysis indicates that there exists obvious spatial autocorrelation of regional S&T development. Using weighted Voronoi analysis, the spatial interacting structure was also studied. As more regions' rapid growth, especially Yangtz River Delta and Pearl River Delta, the Voronoi influence of Beijing reduced greatly. (3) Regional S&T collaboration network analysis. The thesis use social network analysis method to study the network density, core/periphery structure, and the influence of geographical distance to inter-regional collaboration of scientific papers. (4) The spatial analysis of regional S&T and regional economy. The matching situation of regional S&T and economy improved a lot along with the time. With the spatial econometric model, the thesis analyzed the influence of S&T input to economic growth. At the end, the author putforwarded the unblanced development strategy of regional S&T in China, when the regional S&T clustering centers should server as a driving force for other developing regions, the government should pay more attention to encrouge regional S&T collaboration, and optimize the regional S&T pattern, to make the coordinated development of regional S&T and economy.