基于DEA的林业建设项目绩效评价方法研究  

Research on forestry construction project performance evaluation based on DEA

作　　者：熊跃生[1] 王忠伟[1] 

机构地区：[1]中南林业科技大学,湖南长沙410004

出　　处：《中南林业科技大学学报》2014年第5期118-124,共7页Journal of Central South University of Forestry & Technology

基　　金：国家社会科学基金"农产品物流仓单质押盈利模式与风险防范研究"(11BG057)

摘　　要：对于林业建设项目的绩效评价,目前主要采用DEA方法,但是传统的CCR模型容易出现多个决策单元同时有效,造成排序困难。原因是每个决策单元都依据最大值原则选择对自己最有利的权重,计算出的效率值普遍偏高,既不合理,又难排序。在此基础上的各种改进模型对给定的信息量有一定的要求。为此提出根据统一的公共权重计算效率值,并给出信息充分、信息不充分和信息不完全充分条件下的评价模型。最后通过绩效实例,验证了该模型可以在不确定信息条件下对决策单元进行有效排序,评价结果更为合理。At present the DEA method is mainly employed in performance evaluation of forestry construction project. But the traditional CCR model is easy to cause multiple decision-making units being effective at the same time, thus the decision-making units can not be sorted. The reason is that each decision-making unit chooses the weight that most favourable to itself according to the maximum principle, the calculated efficiency values are generally on the high side, which is unreasonable and hard to sort. The improved models on this basis have some requests for the given amount of information. Therefore, the efficiency values should be calculated according to the unified public weight, and the evaluation models are given under the conditions of sufficient information, inadequate information and incomplete full information. Finally the model is verified through performance examples that it can effectively sort the decision-making units under the condition of uncertain information and the evaluation result is more reasonable.

关 键 词：林业建设项目 公共权重 DEA 绩效评价 

分 类 号：S7-9[农业科学—林学]