An AIC-based approach to identify the most influential variables in eco-efficiency evaluation

作者：

Highlights：

• An AIC rule based variable selection approach for eco-efficiency evaluation is proposed.

• This approach investigates any possible variable set generated from all potential variables.

• A real data set on 30 China provinces’ industrial systems is used to demonstrate the proposed approach.

• The most influential variables in eco-efficiency evaluation can be determined with robustness.

摘要

•An AIC rule based variable selection approach for eco-efficiency evaluation is proposed.•This approach investigates any possible variable set generated from all potential variables.•A real data set on 30 China provinces’ industrial systems is used to demonstrate the proposed approach.•The most influential variables in eco-efficiency evaluation can be determined with robustness.

论文关键词：Data envelopment analysis (DEA),Akaike information criteria (AIC),Eco-efficiency evaluation

论文评审过程：Received 13 March 2020, Revised 10 August 2020, Accepted 12 August 2020, Available online 18 August 2020, Version of Record 10 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113883