Measuring the innovation efficiency of the Chinese pharmaceutical industry based on a dynamic network DEA model
Zhongmin Liu and
Jia Lyu
Applied Economics Letters, 2020, vol. 27, issue 1, 35-40
Abstract:
A dynamic network data envelopment analysis (DEA) model is employed for measuring the innovation efficiency of the Chinese pharmaceutical industry. The results show that the reason for innovation inefficiency in the Chinese pharmaceutical manufacturing industry is the inefficiency of pure technology and scale, but pure technical inefficiency plays the main role. The contribution of knowledge innovation to innovation efficiency in the pharmaceutical industry is greater than that of commercialization.
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:taf:apeclt:v:27:y:2020:i:1:p:35-40
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DOI: 10.1080/13504851.2019.1606402
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