Measuring the inefficiency of Chinese research universities based on a two-stage network DEA model

作者：

Highlights：

• We investigate the inefficiency and productivity of Chinese research universities.

• We develop a general two-stage network directional distance framework.

• We develop a Luenberger productivity indictor to measure the productivity changes.

• Empirically, the indicator increased significantly over the examined period.

摘要

•We investigate the inefficiency and productivity of Chinese research universities.•We develop a general two-stage network directional distance framework.•We develop a Luenberger productivity indictor to measure the productivity changes.•Empirically, the indicator increased significantly over the examined period.

论文关键词：Data envelopment analysis (DEA),Chinese universities,Two-stage network DEA model

论文评审过程：Received 4 August 2017, Revised 9 November 2017, Accepted 13 November 2017, Available online 25 November 2017, Version of Record 25 November 2017.

论文官网地址：https://doi.org/10.1016/j.joi.2017.11.002