• DocumentCode
    2605328
  • Title

    Research on the multinational group profit planning based on minimization of tax burden

  • Author

    Guang-liang, Wang

  • Author_Institution
    Sch. of Manage., Harbin Inst. of Technol., Harbin, China
  • fYear
    2010
  • fDate
    24-26 Nov. 2010
  • Firstpage
    1373
  • Lastpage
    1378
  • Abstract
    While making profit plan, the multinational corporations often reduce the profits of enterprises with heavy taxation burden according to taxation burden of subsidiaries, and transfer the reduced profits to the enterprises in which the taxation burden is light. This simple complementary approach to profit planning is not only constrained by the restriction of the volume of business between subsidiaries and the cost of transferring profits, but also more importantly is constrained by restricting factors such as tax authority´s anti-avoiding taxation so that the resulting effect of profit planning is not excellent. On the basis of analyzing spatial profit planning, multinational corporations make a decision considering the objectives and restrictions of tax minimization, establishing a non-linear programming model, solving the optimal limit of profit-shifting and determining the optimal tax planning program. Taking Lenovo Group for example, inspects the validity of the model.
  • Keywords
    decision making; minimisation; nonlinear programming; profitability; strategic planning; taxation; Lenovo Group; decision make; multinational corporation; nonlinear programming model; optimal tax planning program; profit planning; profit shifting; tax minimization; taxation burden; Companies; Economics; Finance; Minimization; Planning; Programming; multinational corporations; non-linear programming model; profits planning; tax minimization; 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.2010.5719971
  • Filename
    5719971