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dc.contributor.authorLin, S.
dc.contributor.authorSun, J.
dc.contributor.authorMarinova, Dora
dc.contributor.authorZhao, D.
dc.date.accessioned2018-05-18T08:00:43Z
dc.date.available2018-05-18T08:00:43Z
dc.date.created2018-05-18T00:22:59Z
dc.date.issued2018
dc.identifier.citationLin, 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.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/68070
dc.identifier.doi10.1080/09537325.2018.1457784
dc.description.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.

dc.titleEvaluation of the green technology innovation efficiency of China's manufacturing industries: DEA window analysis with ideal window width
dc.typeJournal Article
dcterms.source.startPage1166
dcterms.source.endPage1181
dcterms.source.issn0953-7325
dcterms.source.titleTechnology Analysis and Strategic Management
curtin.departmentSustainability Policy Institute
curtin.accessStatusFulltext not available


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