• DocumentCode
    575733
  • Title

    Performance evaluation of rural land consolidation and analysis of spacial variation based on ‘PSR’ Framework and ‘TOPSIS’ Model

  • Author

    Luo Wen-bin ; Zhang Tong

  • Author_Institution
    Coll. of Tourism, Hunan Normal Univ., Changsha, China
  • Volume
    2
  • fYear
    2012
  • fDate
    20-21 Oct. 2012
  • Firstpage
    146
  • Lastpage
    149
  • Abstract
    Based on illustrating the concept of project performance of rural land consolidation, This paper aims to construct the performance evaluation index system to evaluate rural land consolidation among the 31 provinces in China in 2003~2007 and analyzes the feature of regional variation and its impact mechanism by applying the “P-S-P” framework and Information Entropy Weight TOPSIS model. The research results show that the overall level of Chinese rural land consolidation project performance is low and the average value of five years is only 0.2529 and the performance average value is lower than 0.3. Furthermore, from the regional distribution of view, the developed districts have the lower performance level generally, while the major grain-producing provinces possess a higher performance level.
  • Keywords
    entropy; land use planning; operations research; China; Chinese rural land consolidation project performance; PSR framework; grain-producing provinces; impact mechanism; information entropy weight TOPSIS model; performance evaluation index system; press state response framework; regional variation; spatial variation analysis; technique for order of preference by similarity to ideal solution; Indexes; Presses; PSR; TOPSIS; performance evaluation; regional variation; rural land consolidation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering (ICIII), 2012 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4673-1932-4
  • Type

    conf

  • DOI
    10.1109/ICIII.2012.6339799
  • Filename
    6339799