• DocumentCode
    2605178
  • Title

    Research on tax planning for location choice of cross-border mergers and acquisitions

  • Author

    Xiu-hua, Li

  • Author_Institution
    Sch. of Manage., Harbin Inst. of Technol., Harbin, China
  • fYear
    2010
  • fDate
    24-26 Nov. 2010
  • Firstpage
    1309
  • Lastpage
    1316
  • Abstract
    When enterprises choose locations of cross-border mergers and acquisitions, they are often influenced by tax environmental factors in mergers and acquisitions locations, and these factors exists interest conflict of tax and non tax, these make M&A enterprise be in a dilemma in location choice, this issue can not be solved by previous evaluation method. Through introduction of explicit tax and implicit tax concept, tax environmental factors were summarized on the basis of analyzing explicit tax and implicit tax factors of locations choice of cross-border M&A, builds comprehensive evaluation index system on tax environment in location choice of cross-border M&A and BP neural network model with comprehensive evaluation functions, we can determine the merits of tax environment in M&A locations, so that location choice of cross-border M&A will become more easily, and take the United States as an example to verify validity of the model.
  • Keywords
    backpropagation; corporate acquisitions; neural nets; tax preparation; BP neural network model; M and A enterprise; United States; comprehensive evaluation index system; cross-border acquisitions; cross-border mergers; explicit tax; implicit tax; location choice; tax environmental factor; tax planning; Artificial neural networks; Companies; Decision making; Finance; Government; Investments; Planning; BP neural network; cross-border M&A; explicit tax; implicit tax; tax planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering (ICMSE), 2010 International Conference on
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2155-1847
  • Print_ISBN
    978-1-4244-8116-3
  • Type

    conf

  • DOI
    10.1109/ICMSE.2010.5719962
  • Filename
    5719962