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Measuring the innovation efficiency of the Chinese pharmaceutical industry based on a dynamic network DEA model

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  • Zhongmin Liu
  • Jia Lyu

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.

Suggested Citation

  • Zhongmin Liu & Jia Lyu, 2020. "Measuring the innovation efficiency of the Chinese pharmaceutical industry based on a dynamic network DEA model," Applied Economics Letters, Taylor & Francis Journals, vol. 27(1), pages 35-40, January.
  • Handle: RePEc:taf:apeclt:v:27:y:2020:i:1:p:35-40
    DOI: 10.1080/13504851.2019.1606402
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    Cited by:

    1. Ioannis E. Tsolas, 2021. "Firm Credit Scoring: A Series Two-Stage DEA Bootstrapped Approach," JRFM, MDPI, vol. 14(5), pages 1-12, May.
    2. Svetlana V. Ratner & Artem M. Shaposhnikov & Andrey V. Lychev, 2023. "Network DEA and Its Applications (2017–2022): A Systematic Literature Review," Mathematics, MDPI, vol. 11(9), pages 1-24, May.
    3. See, Kok Fong & Md Hamzah, Nurhafiza & Yu, Ming-Miin, 2024. "Multi-period state healthcare efficiency for heterogeneous parallel hospital units," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).
    4. Xueling Guan & Lijiang Chen & Qing Xia & Zhaohui Qin, 2022. "Innovation Efficiency of Chinese Pharmaceutical Manufacturing Industry from the Perspective of Innovation Ecosystem," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    5. Liping Fu & Shan Zhang & Fan Wu, 2022. "The Impact of Compensation Gap on Corporate Innovation: Evidence from China’s Pharmaceutical Industry," IJERPH, MDPI, vol. 19(3), pages 1-14, February.
    6. Atta Mills, Ebenezer Fiifi Emire & Zeng, Kailin & Fangbiao, Liu & Fangyan, Li, 2021. "Modeling innovation efficiency, its micro-level drivers, and its impact on stock returns," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    7. Fang Chen Kao & Minh‐Hieu Le, 2022. "Effects of corporate social responsibility on pharmaceutical multinational enterprises performance: Research and development and business efficiency perspectives," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3419-3434, December.

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