A novel two-stage DEA production model with freely distributed initial inputs and shared intermediate outputs
作者：
Highlights：
• Standard data envelopment analysis (DEA) models ignore intermediate stages making hard to detect sources of inefficiency.
• We define a two-stage DEA model with initial inputs freely allocated in both stages.
• Intermediate outputs in Stage 1 are split into inputs used in Stage 2 and final outputs.
• Overall efficiency is modelled in a cooperative setting via upper and lower bounds obtained in a non-cooperative one.
• The proposed approach is applied to evaluate 15 bank branches.
摘要
•Standard data envelopment analysis (DEA) models ignore intermediate stages making hard to detect sources of inefficiency.•We define a two-stage DEA model with initial inputs freely allocated in both stages.•Intermediate outputs in Stage 1 are split into inputs used in Stage 2 and final outputs.•Overall efficiency is modelled in a cooperative setting via upper and lower bounds obtained in a non-cooperative one.•The proposed approach is applied to evaluate 15 bank branches.
论文关键词：Data envelopment analysis,Intermediate measure,Efficiency,Shared flow,Two-stage process
论文评审过程：Received 21 June 2017, Revised 9 October 2017, Accepted 1 November 2017, Available online 2 November 2017, Version of Record 9 February 2018.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.11.005
