• DocumentCode
    3409147
  • Title

    Grey model of county-level fiscal income & expenditure and application

  • Author

    Shu, Cheng

  • Author_Institution
    Sch. of Public Adm., Jiangxi Univ. of Finance & Econ., Nanchang, China
  • fYear
    2009
  • fDate
    10-12 Nov. 2009
  • Firstpage
    678
  • Lastpage
    681
  • Abstract
    Other than directly investigate the relationships among factors in a complex system or a large amount of samples, grey model is more suitable to forecast county-level fiscal income & expenditure with fewer samples and time series data for it can seek the transformation pattern by coordinating originality data. The paper studies the county- level fiscal income and expenditure forecasting based on grey model in both model and indicator terms. On the basis of predicting fiscal income and expenditure of Guangfeng county from 2001 to 2006, the result indicate that gray model is feasible for predicting county-level fiscal income & expenditure and it produces an obvious fitting effect on two selected emulational subjects. Therefore, gray model is of great significance to predict district fiscal income & expenditure, evaluate fiscal risks, assist administrator with fiscal decision making according to the evaluation result and guard against as well as defuse district fiscal risks.
  • Keywords
    finance; grey systems; time series; county-level fiscal expenditure; county-level fiscal income; grey model; indicator term; model term; time series; transformation pattern; Control systems; Decision making; Economic forecasting; Finance; Intelligent systems; Large-scale systems; Local government; Mathematical model; Predictive models; Technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4914-9
  • Electronic_ISBN
    978-1-4244-4916-3
  • Type

    conf

  • DOI
    10.1109/GSIS.2009.5408227
  • Filename
    5408227