• DocumentCode
    2783779
  • Title

    On a game model of forestry investment between the central government and the local government in China

  • Author

    Wei, Wang ; Dequan, Liu

  • Author_Institution
    Harbin Univ. of Commerce, Harbin, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    4521
  • Lastpage
    4524
  • Abstract
    Through founding a game model of forestry investment between the central government and the local government, the paper deeply analyzes two kinds of interest subjects in a certain Nash-equilibrium. Using the results, the problem of local finance quota is discussed, which is always difficult to fulfill in investment project. The reason can be found that the central government and the local government have presented the kinds of games in producing the strategy of forestry investment. The paper also puts forward some advices that may affect and break the plight balancing investment of forestry, strengthening the regulations of forestry investment system of government, reforming the concept of performance among the local government and staff, further improving the mechanism of investing information, promoting the transfer payment system of the central government in order to establish a new Nash equilibrium based on the concept of sustainable development.
  • Keywords
    forestry; game theory; government data processing; investment; local government; Nash-equilibrium; central government; forestry investment; game model; local finance quota; local government; sustainable development; transfer payment system; Biological system modeling; Business; Electronic mail; Environmental economics; Finance; Forestry; Forward contracts; Investments; Local government; Sustainable development; Forestry Investment; Game Model; the Central Government; the Local Government;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5191962
  • Filename
    5191962