DocumentCode
3094390
Title
The economic status of Household Consumption Expenditure in 31 provinces and regions in China
Author
Shuo, Yang ; JiQing, Yang
Author_Institution
Dept. of Comput. Sci., Xiangfan Univ., Xiangfan, China
Volume
4
fYear
2011
fDate
11-13 March 2011
Firstpage
464
Lastpage
467
Abstract
In order to rank and cluster the economic status of Household Consumption Expenditure in 31 provinces, cities and autonomous regions, the MATLAB software is used and the principal component analysis and the K-M cluster analysis are conducted on the data reflecting the economic status of each area. The results show that the provinces or cities with high comprehensive, scores are Shanghai Municipality, Beijing Municipality, according to priority; the provinces or autonomous regions with low comprehensive scores are Tibet, Xinjiang, Qinghai, Gansu, Hainan, Shaanxi, Yunnan, Sichuan. The economic status of Household Consumption Expenditure in the 31 provinces and autonomous regions are partly parallel with the comprehensive economic development. The improvement of the economic status of Household Consumption Expenditure is helpful for the overall economic elevation. Therefore, the government should coordinate the economic development of urban and Residents of towns and villages areas, industry and agricultural, developed region and undeveloped region, and coastal areas and central and western areas to maximize the social welfare of the whole nation.
Keywords
economics; mathematics computing; pattern clustering; power consumption; power engineering computing; principal component analysis; Beijing municipality; China; Gansu; K-M cluster analysis; MATLAB software; Qinghai; Shaanxi; Shanghai municipality; Sichuan; Tibet; Xinjiang; Yunnan; comprehensive economic development; household consumption expenditure; principal component analysis; Cities and towns; Computer simulation; Economics; Education; MATLAB; Principal component analysis; China; Economic development; Economic status of Household Consumption Expenditure; K-M Cluster analysis; Principal component analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Research and Development (ICCRD), 2011 3rd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-61284-839-6
Type
conf
DOI
10.1109/ICCRD.2011.5763947
Filename
5763947
Link To Document