Ranking multiple-input and multiple-output units: A comparative study of data envelopment analysis and rank aggregation

作者：

Highlights：

• We compare DEA and the Borda method for ranking multi-input and multi-output units.

• The methods are compared under various production processes and data structures.

• Extensive simulations show the strengths and weaknesses of the two methods.

• Practicality of the methods is demonstrated by application to human development.

• Four rules are developed to guide the choice of ranking method.

摘要

•We compare DEA and the Borda method for ranking multi-input and multi-output units.•The methods are compared under various production processes and data structures.•Extensive simulations show the strengths and weaknesses of the two methods.•Practicality of the methods is demonstrated by application to human development.•Four rules are developed to guide the choice of ranking method.

论文关键词：Rank aggregation,Borda,DEA,Simulation,Production function

论文评审过程：Received 8 November 2019, Revised 11 June 2020, Accepted 21 June 2020, Available online 26 June 2020, Version of Record 9 July 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113687