Assessing R&D efficiency using a two-stage dynamic DEA model: A case study of research institutes in the Chinese Academy of Sciences

作者：

Highlights：

• This paper uses a novel data envelopment analysis (DEA) model with network structure considering the carry-over activities.

• We integrate Input-Mediator-Output-Input (IMOI) model and DEA to explore the R&D performances of Chinese research institutes.

• The results show that regional differences and resource scale play important roles in influencing the R&D efficiency.

• This paper identifies how to improve R&D performance based on performance benchmarks.

摘要

•This paper uses a novel data envelopment analysis (DEA) model with network structure considering the carry-over activities.•We integrate Input-Mediator-Output-Input (IMOI) model and DEA to explore the R&D performances of Chinese research institutes.•The results show that regional differences and resource scale play important roles in influencing the R&D efficiency.•This paper identifies how to improve R&D performance based on performance benchmarks.

论文关键词：Research institutes,Data envelope analysis (DEA),Dynamic effects,R&D efficiency,Two-stage DEA model

论文评审过程：Received 8 January 2018, Revised 3 July 2018, Accepted 3 July 2018, Available online 18 July 2018, Version of Record 18 July 2018.

论文官网地址：https://doi.org/10.1016/j.joi.2018.07.003