期刊
JOURNAL OF CLEANER PRODUCTION
卷 283, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2020.124603
关键词
Relational two-stage data envelopment analysis (DEA); Technology innovation; Eco-environment; Comprehensive efficiency of technology innovation and eco-environment
资金
- National Education Science Planning Project of China [BIA180213]
- project is Research on performance Evaluation of Teachingscientific Research Linkage in Double first-class Universities in China
This study establishes a comprehensive efficiency evaluation index system and a data envelopment analysis model to assess the technology innovation and eco-environment efficiency of 28 provinces in China in 2015. The results indicate a low level of comprehensive efficiency, with technology innovation efficiency having a higher average value than eco-environment efficiency. Most provinces' comprehensive efficiency is mainly influenced by their eco-environment efficiencies. Based on these findings, recommendations for improving China's technology innovation and eco-environment comprehensive efficiency are proposed.
To investigate the contribution of technology innovation to eco-environment, this paper sets up a comprehensive efficiency evaluation index system of technology innovation and eco-environment. A relational two-stage data envelopment analysis model with output orientation has been built to evaluate the comprehensive efficiency of technology innovation and eco-environment of 28 provinces of China for 2015. The efficiencies of two-sub-stages, technology innovation efficiency, and eco-environment efficiency have been evaluated and analyzed. The result shows that: first, the average of comprehensive efficiency of technology innovation and eco-environment is 0.1535, which indicates a low level. Second, the results of sub-stages show that the average value of technology innovation efficiency is higher than that of eco-environment efficiency. Third, the comprehensive efficiencies of technology innovation and eco-environment of 28 provinces are mostly influenced by their eco-environment efficiencies. Based on these results, corresponding countermeasures are suggested to improve the comprehensive efficiency of technology innovation and eco-environment of China. (C) 2020 Elsevier Ltd. All rights reserved.
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