Research on Economic Regionalization and Financial Regionalization in China ——Based on Gini Coefficient, Theil’s Entropy Measure and Financial Interrelations Ratio
- 10.2991/essaeme-18.2018.25How to use a DOI?
- Regionalization, Gini Coefficient, Theil’s Entropy Measure, FIR
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.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Fengrui Liu AU - Fuchang Li AU - Xiaohui Hu PY - 2018/07 DA - 2018/07 TI - Research on Economic Regionalization and Financial Regionalization in China ——Based on Gini Coefficient, Theil’s Entropy Measure and Financial Interrelations Ratio BT - Proceedings of the 2018 4th International Conference on Economics, Social Science, Arts, Education and Management Engineering (ESSAEME 2018) PB - Atlantis Press SP - 133 EP - 136 SN - 2352-5398 UR - https://doi.org/10.2991/essaeme-18.2018.25 DO - 10.2991/essaeme-18.2018.25 ID - Liu2018/07 ER -