Evaluation of the green technology innovation efficiency of China's manufacturing industries: DEA window analysis with ideal window width |
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| Authors: | Shoufu Lin Ji Sun Dingtao Zhao |
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| Affiliation: | 1. School of Economics, FuJian Normal University, Fuzhou City, China;2. School of Management, University of Science and Technology of China, Hefei City, China;3. School of Management, University of Science and Technology of China, Hefei City, China |
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| 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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| Keywords: | DEA window analysis absolute β convergence green technology innovation efficiency manufacturing industry |
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