Research on Regional Economic development of Guangxi based on multiple statistic analysis
DOI:
https://doi.org/10.33292/amm.v3i1.29Keywords:
Economic development, PCA, Cluster analysisAbstract
Economic development is a prerequisite for social stability and development. However, the regional economic development in various regions of our country is unbalanced, especially in the western region. As one of the minority autonomous regions in western of my country, Guangxi Province is undoubtedly of great practical significance to study its regional economic development. In this context, this paper is based on 8 economic indicators and related economic data of 14 cities in Guangxi Province in 2018, and is based on the theory of dimensionality reduction methods and cluster analysis, using principal component analysis (PCA) and hierarchical clustering methods to assess the comprehensive level of Guangxi’s economic development. The result shows that most cities' economic development in Guangxi Province is great. However, there are signature differences in economic development between urban areas.
References
G. Myrdal, Economic Theory and Underdeveloped Regions. Duekworth, 1957.
Goldsmith R W, Financial structure and development. Yale University Press, 1969.
A. M. Pereira and M. F. Pinho, “Public investment, economic performance and budgetary consolidation: Var evidence for the first 12 Euro countries,” J. Econ. Dev., vol. 36, no. 1, 2011.
P. Aguighier, “Regional disparity since 1978,in Feuch thtwang Sephen Hussa in A thar and pairault,” Transform. China’s Econ. eightiesthe urban Sect., 1988.
G. Y. Long, “China changing region in equalities,” J. Comp. Econ. Rev., 2000.
Fleisher, M. Belton, H. Li, and M. Q. Zhao, “Human Capital, Economic Growth, and Inequality in China,” J. Dev. Econ., vol. 92, no. 2, 2009.
H. Shuyuan and M. Chou, “Multivariate statistical analysis of regional economic development in Gansu Province,” Product. Res., 2020.
Z. Jian, W. Meizheng, and H. Jiayi, “Research on Digital Economy Promoting Regional Economic Development——Taking Heilongjiang Province as an Example,” Econ. Res. Guid., pp. 44–46, 2021.
Y. Li, “Research on the Economic Development of Beijing-Tianjin-Hebei Integration Region Based on Multivariate Statistical Analysis,” Mark. Mod., 2021.
C. Benchang and Z. Xuan, “Economic opening, population flow and regional economic unbalanced development——An empirical analysis based on the fluctuation of economic growth rate in Liaoning Province,” J. Shenyang Univ. Technol. (Social Sci. Ed., 2021.
C. Jingjing and X. Yongxiang, “Measurement and comparison of the high-quality development level of my country’s provincial economy based on the new development concept,” Ind. Technol. Econ., 2021.
J. jie Huang, M. zheng Xiong, Y. Chen, and F. yan Zhao., “E-commerce Product Sales Plan Based on LDA and ARIMA,” Int. J. Comput. Eng., vol. 5, no. 3, 2020.
jingbo Zhang, “Fiscal expenditure, opening to the outside world and high-quality development of regional economy,” Econ. Manag. Dig., 2021.
Z. Zhang, “Analysis of the evolution of my country’s regional economic relay growth pattern and its influencing factors,” West. Econ. Manag. Forum, vol. 32, no. 03, 2021.
Y. Tan, “Analysis of Regional Economic Differences Based on Cluster Analysis Model——Taking Sichuan Province as an Example,” China Mark., 2021.
J. Tingting and Z. Bin, “Research on the Factors Affecting Regional Economic Differences in Anhui Province——An Empirical Analysis Based on City Panel Data.,” J. Chongqing Univ. Sci. Technol. (Social Sci. Ed., 2021.
Z. Nannan and L. Xiuyu, “Technological Innovation, Consumption Transformation and Regional Economic Development——Analysis Based on the Perspective of Regional Differences,” Res. World, 2021.
W. Yan, C. Rui, and J. Bo, “Research on the path of world-class universities serving regional economic development——Based on the content analysis of the economic impact reports of 10 universities,” Comp. Educ. Res., vol. 43, no. 05, 2021.
H. Qian, “Analysis of the coordination degree between higher education and regional economy,” Stat. Decis., vol. 37, no. 09, 2021.
