• DocumentCode
    2380067
  • Title

    Study on the motivation of foreign capital withdrawal in post-crisis era by a grey correlation degree based decision tree algorithm

  • Author

    Wang Wenping ; Huang Xinhuan ; Wang Wenzheng

  • Author_Institution
    Sch. of Econ. & Manage., Southeast Univ., Nanjing, China
  • fYear
    2011
  • fDate
    9-12 Oct. 2011
  • Firstpage
    1453
  • Lastpage
    1456
  • Abstract
    There have been foreign investors´ withdrawal or transference, to a great extent, in lots of domestic regions since the financial crisis. Is the withdrawal of foreign capital subject to the financial crisis or a given stage of the Chinese economy development? Does the financial crisis play the same impacts on the different types of foreign capitals withdrawal? These issues are discussed in this paper. We define the divestment as expansionary divestment and adaptable divestment, and divide the foreign capitals into the manufacturing type, R&D type and operating type. We emphatically discuss how to use the data mining to analyze these problems. The principle and process are described in detail. Especially, a grey correlation degree based decision tree algorithm is applied to find out the classification rules, which help the government to make strategies to guard against foreign capital withdrawal.
  • Keywords
    data mining; decision trees; financial management; grey systems; investment; pattern classification; Chinese economy development; classification rule; data mining; decision tree algorithm; expansionary divestment; financial crisis; foreign capital withdrawal; foreign investor; grey correlation degree; post-crisis era; Companies; Correlation; Decision trees; Economics; Investments; Manufacturing; decision tree algorithm; grey correlation degree; motivation of the foreign capital withdrawal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4577-0652-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2011.6083875
  • Filename
    6083875