• DocumentCode
    1725825
  • Title

    Impact of labor force on China´s economic growth based on grey metabolic GM(1,1) model

  • Author

    Zhu Sheng ; Wu Qiu-jin ; Wang Yun

  • Author_Institution
    Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2011
  • Firstpage
    262
  • Lastpage
    265
  • Abstract
    Various factors have contributed to China´s rapid economic growth, such as capital accumulation, technological progress, structural change, resource optimization, system and institutional innovation. But the rapid growth is motivated by other reasons as well, for example, the demographic factor. This paper contributes to the domain by analyzing and studying the relationship between labor force and economic growth. Firstly, the development of China´s labor force is described, which is beneficial to the economic growth for a long time. Additionally, Cobb-Douglas production function model is established to confirm that the labor force has a positive impact on economic growth. Finally, the future economic growth is forecasted based on GM (1, 1) metabolic prediction model, which calculates the labor´s contribution to China´s economic growth and helps to analyze the main problem on China´s labor force as well as makes effective suggestions to promote the economic growth.
  • Keywords
    economics; grey systems; labour resources; China; Cobb-Douglas production function model; capital accumulation; demographic factor; economic growth; grey metabolic GM(1,1) model; institutional innovation; labor force; metabolic prediction model; resource optimization; structural change; technological progress; Biological system modeling; Force; economic growth; grey metabolism GM(1,1) model; labor force; multiple regression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-61284-490-9
  • Type

    conf

  • DOI
    10.1109/GSIS.2011.6044033
  • Filename
    6044033