DEA Models for Extended Two-Stage Network Structures
DEA Models for Extended Two-Stage Network Structures
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DOI：
10.1016/j.omega.2011.11.007
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发表时间：
2012-10
影响因子：
6.9
通讯作者：
Yongjun Li;Yao Chen;L. Liang;Jianhui Xie
中科院分区：
文献类型：
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作者：
Yongjun Li;Yao Chen;L. Liang;Jianhui Xie
Liang et al.（2008）[1]开发了基于博弈方法的DEA模型来分解两阶段网络结构的效率，其中第一阶段的所有输出是第二阶段的唯一输入。本文扩展了Liang等人（2008）[1]，假设第二级的输入包括第一级的输出和第二级的额外输入。提出了两个模型来评估这种类型的一般两级网络结构的性能。一种是非线性集中模型，其全局最优解可以使用启发式搜索过程来估计。另一种是非合作模型，其中一个阶段被视为领导者，另一个阶段被视为追随者。最后，将新模型应用于中国区域R&D的实证研究。
Liang et al. (2008) [1] developed DEA models based upon game approach to decompose efficiency for two-stage network structures where all outputs of the first stage are the only inputs to the second stage. This paper extends Liang et al. (2008) [1] by assuming that the inputs to the second stage include both the outputs from the first stage and additional inputs to the second stage. Two models are proposed to evaluate the performance of this type general two-stage network structures. One is a non-linear centralized model whose global optimal solutions can be estimated using a heuristic search procedure. The other is a non-cooperative model, in which one of the stages is regarded as the leader and the other is the follower. The newly developed models are applied to a case of regional R&D of China.