Value of the stochastic efficiency in data envelopment analysis

作者：

Highlights：

• We propose both a stochastic and a semi-stochastic DEA models.

• The proposed models are free from any theoretical distributional assumptions.

• We examine the benefits of solving a stochastic DEA model over a deterministic one.

• We define the value of stochastic efficiency and semi-stochastic efficiency.

• The value of (semi-) stochastic efficiency is for the first time addressed in DEA.

摘要

•We propose both a stochastic and a semi-stochastic DEA models.•The proposed models are free from any theoretical distributional assumptions.•We examine the benefits of solving a stochastic DEA model over a deterministic one.•We define the value of stochastic efficiency and semi-stochastic efficiency.•The value of (semi-) stochastic efficiency is for the first time addressed in DEA.

论文关键词：Data envelopment analysis,Stochastic,Input-output analysis,Performance/Productivity

论文评审过程：Received 1 October 2016, Revised 26 February 2017, Accepted 27 March 2017, Available online 28 March 2017, Version of Record 5 April 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.03.061