• DocumentCode
    3116536
  • Title

    Analysis on the grey system evaluation of China´s agricultural regional development

  • Author

    Mu, Yue-Ying

  • Author_Institution
    Coll. of Econ. & Manage., China Agric. Univ., Beijing
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    2481
  • Lastpage
    2486
  • Abstract
    The rural policies of the Chinese government now have focused on how to promote the development by comparing agricultural development strategies of different regions. In this paper we first clarified the superiority of grey evaluation methods in analyzing economic issues by comparing the grey system evaluation and the clustering method. Then, we used the grey system evaluation to compare and analyze nine agricultural products and the overall agricultural development in different regions. The results showed that the followed provinces had the comparative advantages rice production: Jiangsu, Anhui, Hubei, Hunan, Jiangxi, Guangdong, Guangxi, Shanghai, Sichuan and Heilongjiang. Meanwhile, China´s 31 provinces (include municipalities and autonomous regions) were divided into three types of regions: high-level, middle-level and low-level, which are not the same as the three types of regions: eastern, central and western under the existing government policies.
  • Keywords
    agriculture; crops; government policies; grey systems; regional planning; Chinese government rural policies; agricultural products; agricultural regional development strategies; clustering method; economic issues; grey system evaluation; rice production; Agricultural products; Agriculture; Clustering methods; Crops; Educational institutions; Fuzzy systems; Local government; Mathematical analysis; Multidimensional systems; Production; Agricultural Regional Development; China; Grey System Evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2383-5
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2008.4811668
  • Filename
    4811668