Two-stage network DEA with shared resources: Illustrating the drawbacks and measuring the overall efficiency

作者：

Highlights：

• We estimate the overall efficiency of two-stage DMUs with shared inputs.

• We explain drawbacks of the existing models in the presence of shared inputs.

• We propose a novel network DEA-based model to tackle these drawbacks.

• We perform a comparative analysis among our proposed model and the other models.

• We present an empirical example to illustrate the use of the proposed model.

摘要

•We estimate the overall efficiency of two-stage DMUs with shared inputs.•We explain drawbacks of the existing models in the presence of shared inputs.•We propose a novel network DEA-based model to tackle these drawbacks.•We perform a comparative analysis among our proposed model and the other models.•We present an empirical example to illustrate the use of the proposed model.

论文关键词：Data envelopment analysis (DEA),Network DEA (NDEA),Shared resources,Efficiency,Intermediate product

论文评审过程：Received 15 October 2021, Revised 25 February 2022, Accepted 1 April 2022, Available online 7 April 2022, Version of Record 4 June 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2022.108725