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China's economy is a typical big-nation economy. The economic gap between regions and the development of the financial industry are quite different. This paper analyzes the economic data of China from 2005 to 2016, and uses the per capita GDP data of the region to calculate the Gini coefficient and Theil’s Entropy Measure (or Theil index) based on inter-provincial data, data of the eastern, central and western regions, and data of the three major economic regions from 2005 to 2016 in China. Using the data of regional GDP, regional deposits, and total regional loans, we calculated the financial interrelations ratios of China's provinces, municipalities, and autonomous regions and the three major economic regions from 2005 to 2016.Although there are fluctuations and differences in China's economic development, the trend is gradually narrowing. The level of financial development in China has been increasing year by year, and the trend of development differences is gradually expanding.

proceedings of the 2018 4th international conference on economics, social science, arts, education and management engineering (essaeme 2018)

Research on Economic Regionalization and Financial Regionalization in China mmBased on Gini Coefficient, Theilrs Entropy Measure and Financial Interrelations Ratio