Using multi-level frontiers in DEA models to grade countries/territories
作者：
Highlights：
• We use multi-level frontiers of data envelopment analysis (DEA) models to grade selected countries/territories.
• We use research funding and researchers as input indicators, and take papers, citations and patents as output indicators.
• The research results show that using DEA frontiers we can grade countries/territories on different grades.
• These grades reflect the corresponding countries’ levels of performance with respect to multiple inputs and outputs.
摘要
•We use multi-level frontiers of data envelopment analysis (DEA) models to grade selected countries/territories.•We use research funding and researchers as input indicators, and take papers, citations and patents as output indicators.•The research results show that using DEA frontiers we can grade countries/territories on different grades.•These grades reflect the corresponding countries’ levels of performance with respect to multiple inputs and outputs.
论文关键词：Countries/territories,Grades,Data envelopment analysis (DEA),Efficient frontier
论文评审过程：Received 20 September 2015, Revised 20 November 2015, Accepted 12 January 2016, Available online 1 February 2016, Version of Record 1 February 2016.
论文官网地址：https://doi.org/10.1016/j.joi.2016.01.008
