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中国管理科学

中国管理科学 ›› 2008, Vol. 16 ›› Issue (4): 148-154.

• 论文 • 上一篇    下一篇

多层次结构DEA模型及其应用

孟溦1, 张大群1, 刘文斌2   

  1. 1. 中科院评估研究中心中科院科技政策与管理研究所 北京 100080;
    2. 英国肯特大学商学院 CT2 7PE
  • 收稿日期:2007-05-11 修回日期:2008-07-25 出版日期:2008-08-31 发布日期:2008-08-31
  • 作者简介:孟溦(1970- ),女(汉族),新疆人,中国科学院科技政策与管理科学研究所副研究员,研究方向:科技评价理论与方法.
  • 基金资助:

    国家自然科学基金委面上资助项目(70771104)

A Study of Multi-Level DEA Models and Applications

MENG Wei1, ZHANG Da-qun1, LIU Wen-bin2   

  1. 1. Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100080, China;
    2. Kent Business School, University of KENT, KENT, CT2 7PE, England
  • Received:2007-05-11 Revised:2008-07-25 Online:2008-08-31 Published:2008-08-31

PDF (PC)

1342

被引次数

30

摘要： 在评价实践中,评价者通常倾向采用一组指标或指标体系对DMUs展开相对全面的评价,不同层次指标的重要性也往往不同。然而,标准DEA模型在DMUs有限条件下经常会面临无法直接处理过多的评价指标,也无法直接处理多层次指标的问题。本文从DEA模型中的序结构和测度出发,构建了符合多层次指标体系特点,能相对全面地体现评价者价值导向,且具有合理区分能力的多层次结构DEA模型,并以15个机构基础研究的投入-产出评价为例展开了应用分析。

关键词: DEA, 区分能力, 多层次结构

Abstract: In practical evaluation, people usually prefer to select a set of indicators or establish indicator system with hierar chical structure to present a relative comprehensive evaluation, and the importance of indicators in different level is of ten different.However, it is hard for standard DEA models to handle too many inputs and outputs indicators directly because of discrimination power.Meanwhile, standard DEA models also cannot handle hierarchical indicators directly.Based on the preference and measurement implied in DEA models, this study presents multi-level DEA models, which can deal with the indicators with hierarchical structure directly.Additionally, value judgments of the decision makers are well incorporated, and discrimination power of DEA model is much enhanced when many indicators are used.A practical evaluation of 15 institutes for basic research institutions is provided at the end.

Key words: DEA, discrimination power, multi-level DEA models

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