• DocumentCode
    2958394
  • Title

    Forecast on Shanghai´s Input-Intensity of R&D Based on the Model DGM (1, 1)

  • Author

    Hu, Bin ; Qin, Yinglin

  • Author_Institution
    Manage. Sch., Shanghai Univ. of Eng. Sci., Shanghai, China
  • fYear
    2011
  • fDate
    12-14 Aug. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    According to the statistical data of R&D input-intensity from 1995 to 2007 in Shanghai, the paper forecasts the medium-term and long-term R&D input-intensity in Shanghai based on a kind of improving form of grey forecasting model GM(1,1), that is DGM(1,1) model. The calculation results show that DGM (1, 1) model has some advantages, so as higher predicting precision, the better fitting with actual situation and so on. The construction and application of the model have a positive reference value to Shanghai´s future strategic decision-making in science and technology investment.
  • Keywords
    decision making; forecasting theory; grey systems; investment; research and development; strategic planning; R&D input-intensity; Shanghai; grey forecasting model; model DGM (1, 1); science and technology investment; strategic decision-making; Accuracy; Data models; Economics; Forecasting; Investments; Mathematical model; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6579-8
  • Type

    conf

  • DOI
    10.1109/ICMSS.2011.5997901
  • Filename
    5997901