Regional Disparities In Income Of The Exploratory Spatial And Temporal Analysis Of The Method Of Realization

Since the reform and opening up, rural incomes have made signally improvement, but the regional income inequality continues to increase.Questions surrounding regional economic convergence have commanded a great deal of recent attention in economics literature. The application of spatially explicit methods of data analysis to the convergence question has yield important insights on regional economic growth. However, the literature on regional income inequality has been lower to adopt new spatially explicitly methods of data analysis. Research on regional income convergence has gone through two phases over the past two decades. The first generation began to appear as growth theorists turned their attention away from international analyses if country growth patterns having discovered the region as a new unit of analysis. In the second phase, the underlying geographical dimensions of data began to attract attention. Both phases of regional convergence have yield an enormous literature. But the spatially explicit methods applied in the second phase have been designed for cross-sectional data sets while the regional income inequality itself has both spatial and temporal dimensions.Moreover, a number of impressive tools for geospatial statistical analysis appeared such as GeoDa, Geo Vista Studio etc. But these tools are designed for cross-sectional data.This dissertation seeks to contribute to the literature by addressing these gaps. Firstly, draw on some recently development methods of exploratory space-time data analysis to develop a framework for regional income inequality. Then we will develop a software tools which supply these methods and can be used on web. Finally we present a exploratory space-time analysis of rural regional income inequality dynamics over 1985-2008 period in China.