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    Evaluation of the green technology innovation efficiency of China's manufacturing industries: DEA window analysis with ideal window width

    Access Status
    Fulltext not available
    Authors
    Lin, S.
    Sun, J.
    Marinova, Dora
    Zhao, D.
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Lin, S. and Sun, J. and Marinova, D. and Zhao, D. 2018. Evaluation of the green technology innovation efficiency of China's manufacturing industries: DEA window analysis with ideal window width. Technology Analysis and Strategic Management: 30 (10): pp. 1166-1181.
    Source Title
    Technology Analysis and Strategic Management
    DOI
    10.1080/09537325.2018.1457784
    ISSN
    0953-7325
    School
    Sustainability Policy Institute
    URI
    http://hdl.handle.net/20.500.11937/68070
    Collection
    • Curtin Research Publications
    Abstract

    Data Envelopment Analysis (DEA) window analysis with ideal window width is applied to evaluate the green technology innovation efficiency of 28 manufacturing industries in China during 2006–2014. The obtained results are compared with those calculated using the traditional DEA model, and convergence analysis of the efficiency is conducted. Five years is the obtained ideal window width and DEA window analysis with ideal window produces results closer to reality for China's manufacturing industry. The overall efficiency of the green technology innovation in the manufacturing sector is low following a wave-shaped curve – first decreasing, then increasing and decreasing again, with large inter-industrial differences. There are 8 high-, 14 medium- and 6 low-efficiency industries. A convergence trend in the green technology innovation efficiency within the 28 manufacturing industries exists, implying a catch-up effect between them.

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