• 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