(完整版)数据包络分析法DEA总结.doc

DEA（DataEnvelopmentAnalysis）数据包络分析目录TOC\o"1-3"\h\z\uHYPERLINK\l"_Toc449085031"一、DEA的起源与发展（参考网络等相关文献）PAGEREF_Toc449085031\h2HYPERLINK\l"_Toc449085032"二、基本概念PAGEREF_Toc449085032\h2HYPERLINK\l"_Toc449085033"1.决策单元（DecisionMakingUnit，DMU）PAGEREF_Toc449085033\h2HYPERLINK\l"_Toc449085034"2.生产可能集（ProductionPossibilitySet，PPS）PAGEREF_Toc449085034\h3HYPERLINK\l"_Toc449085035"3.生产前沿面（ProductionFrontier）PAGEREF_Toc449085035\h3HYPERLINK\l"_Toc449085036"4.效率（Efficiency）PAGEREF_Toc449085036\h4HYPERLINK\l"_Toc449085037"三、模型PAGEREF_Toc449085037\h5HYPERLINK\l"_Toc449085038"1.CCR模型PAGEREF_Toc449085038\h5HYPERLINK\l"_Toc449085039"2.BBC模型PAGEREF_Toc449085039\h5HYPERLINK\l"_Toc449085040"3.FG模型PAGEREF_Toc449085040\h5HYPERLINK\l"_Toc449085041"4.ST模型PAGEREF_Toc449085041\h5HYPERLINK\l"_Toc449085042"5.加性模型(additivemodel，简称ADD)PAGEREF_Toc449085042\h5HYPERLINK\l"_Toc449085043"6.基于松弛变量的模型(Slacks-basedMeasure，简称SBM)PAGEREF_Toc449085043\h5HYPERLINK\l"_Toc449085044"7.其他模型PAGEREF_Toc449085044\h5HYPERLINK\l"_Toc449085045"四、指标选取PAGEREF_Toc449085045\h6HYPERLINK\l"_Toc449085046"五、DEA的步骤（参考于网络）PAGEREF_Toc449085046\h6HYPERLINK\l"_Toc449085047"六、优缺点（参考一篇博客）PAGEREF_Toc449085047\h7HYPERLINK\l"_Toc449085048"七、非期望产出PAGEREF_Toc449085048\h7HYPERLINK\l"_Toc449085049"1.非期望产出的处理方法：PAGEREF_Toc449085049\h8HYPERLINK\l"_Toc449085050"2.非期望产出的性质：PAGEREF_Toc449085050\h8HYPERLINK\l"_Toc449085051"八、DEA几个注意点PAGEREF_Toc449085051\h9HYPERLINK\l"_Toc449085052"九、DEA相关文献的总结PAGEREF_Toc449085052\h9HYPERLINK\l"_Toc449085053"1.能源环境效率PAGEREF_Toc449085053\h9HYPERLINK\l"_Toc449085054"2.碳减排与经济增长PAGEREF_Toc449085054\h10HYPERLINK\l"_Toc449085055"3.关于工业、制造业、产业的DEAPAGEREF_Toc449085055\h10HYPERLINK\l"_Toc449085056"4.关于企业的DEAPAGEREF_Toc449085056\h11HYPERLINK\l"_Toc449085057"5.其他PAGEREF_Toc449085057\h12一、DEA的起源与发展（参考网络等相关文献）数据包络分析（DEA）是一种常用的效率评估的方法，用以评价一组具有多个投入、多个产出的