四川省各市(州)的经济发展水平分析
Analysis of Economic Development Level of Cities (Prefectures) in Sichuan Province
摘要: 一个城市的经济发展水平对于该城市经济的目前发展状态以及未来发展潜力具有重要的衡量作用,在一定程度上也反映并影响着其幸福指数与宜居性。在本文中,我们选择了位于我国西南部的四川省,对省内各市州的经济发展水平进行研究。根据《2017四川统计年鉴》中的实际数据,选取反映地区经济发展的10个相关指标,运用因子分析,计算公共因子得分以及各市(州)经济发展水平的综合因子得分,再采用系统聚类法把21个城市(州)分类聚集。结合这两种统计分析方法得到的结果,对四川省21个城市(州)的经济发展水平进行分析,最终共分为六大类地区。
Abstract: The level of economic development of a city plays an important role in measuring the current state and future development potential of the city’s economy, and also reflects and affects its happiness index and livability to a certain extent. In this paper, we choose Sichuan province located in the southwest of China to study the level of economic development of cities and states in the province. According to the actual data in “Sichuan Statistical Yearbook 2017”, 10 relevant indicators reflecting regional economic development were selected, and factor analysis was used to calculate the common factor score and the comprehensive factor score of the economic development level of each city (prefecture), and then the system clustering method was used to classify and aggregate the 21 cities (prefectures). Combining the results obtained by the two statistical analysis methods, the economic development level of 21 cities (prefectures) in Sichuan province is analyzed, and finally divided into six categories of regions.
文章引用:王潇月. 四川省各市(州)的经济发展水平分析[J]. 统计学与应用, 2021, 10(6): 997-1008. https://doi.org/10.12677/SA.2021.106105

参考文献

[1] 周俊. 西部开发十五年四川经济如何再发力[J]. 四川省情, 2016(2): 36-38.
[2] 何晓群. 应用多元统计分析[J]. 第2版. 北京: 中国统计出版社, 2015.
[3] 唐江花. 因子分析法在民办高校学生成绩评价中的应用[J]. 智库时代, 2019(15): 167-168.
[4] 胡雷芳. 五种常用系统聚类分析方法及其比较[J]. 浙江统计, 2007(4): 11-13.
[5] 四川省统计局. 四川统计年鉴-2017 [M]. 北京: 中国统计出版社, 2018.
[6] 王学民. 应用多元统计分析[M]. 第5版. 上海: 上海财经大学出版社, 2017.