• DocumentCode
    675026
  • Title

    Analysis of elastic structure of technological innovation output based on CMPD and PLS methods

  • Author

    Shen Min ; Wu He-cheng ; Hua Hai-ling

  • Author_Institution
    Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2013
  • fDate
    15-17 Nov. 2013
  • Firstpage
    256
  • Lastpage
    259
  • Abstract
    Taking the technology innovation input and output 2000-2010 data of 29 provincial regions´ large and medium-sized industrial enterprises as sample, this paper classifies all regions with a standard of the comprehensive strength by method of CMPD, and makes precision analysis and elastic structure analysis to each region by the PLS method. The following conclusions are obtained: Over the analysis period, there exist obvious regional differences in the key factors of innovation output and its important influence factors. The capacity of R&D and transformation are generally higher in most regions, international competitiveness is still lower; Except private enterprises concentrated region, invention patent is the main form of the patent; Investment of technology innovation is the most important influencing factors to technological innovation output, but personnel input influence is weaker.
  • Keywords
    innovation management; least squares approximations; patents; regression analysis; research and development; small-to-medium enterprises; CMPD method; LMIE; PLS regression method; R-and-D capacity; clustering model-of-panel data model; comprehensive strength; elastic structure analysis; influence factors; international competitiveness; invention patent; large-and-medium-sized industrial enterprises; partial least squares regression method; precision analysis period; private enterprise concentrated region; provincial regions; regional differences; technological innovation input; technological innovation output; Economics; Educational institutions; Indexes; Industries; Patents; Personnel; Technological innovation; PLS; cluster method of panel data; elastic structure; technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2013 IEEE International Conference on
  • Conference_Location
    Macao
  • ISSN
    2166-9430
  • Print_ISBN
    978-1-4673-5247-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2013.6714776
  • Filename
    6714776