• DocumentCode
    3411216
  • Title

    A study of impact factors on China´s development in service industry based on grey relational analysis

  • Author

    Qing, Zhang ; Sifeng, Liu ; Ting, Wang ; Yaoguo, Dang

  • Author_Institution
    Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2009
  • fDate
    10-12 Nov. 2009
  • Firstpage
    140
  • Lastpage
    143
  • Abstract
    With the economic development, the proportion of service industry is going up constantly, which has become a widely accepted rule. Recently, although the economy in our country has almost been kept the leading rising speed around the globe, the service industry has not enjoyed the rising speed as expected and its status in National Economy has not been remarkably enhanced. Apart from the reasons from the economic system, concept, policy and statistic standard in our country, the emergence of this phenomenon must be also related with other economic factors. Based on the statistic data and the method of grey relational analysis, this paper has got the result that for the development of service industry, the most impact factor is the level of urbanization, and then the level of industrialization and the size of urban population, and last but not least, the least influential one is the consumption of urban residents and GDP per capita. Finally, this paper also makes further analysis about this result.
  • Keywords
    economics; grey systems; service industries; China; economic development; grey relational analysis; impact factors; industrialization; service industry; urbanization; Cities and towns; Economic indicators; Employment; Government; Industrial economics; Industrial relations; Intelligent systems; Investments; Multivariate regression; Reactive power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4914-9
  • Electronic_ISBN
    978-1-4244-4916-3
  • Type

    conf

  • DOI
    10.1109/GSIS.2009.5408335
  • Filename
    5408335