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Study | Research method | Research context | Period | Findings |
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Zemtsov and Kotsemir [5] | DEA | Measurement of the efficiency of Russia’s regional technology system (RIS) | 2009–2012 | RIS efficiency in Russia increased during the period, especially in the least developed territories, RIS efficiency was higher in technologically more developed regions with the oldest universities and larger patent stock |
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Chen and Fu [6] | Dynamic DEA | Evaluation on efficiency of R&D input-output systems in China’s provinces | 2006–2010 | All regions had deficiencies in the overall operation of the R&D and production system, the overall efficiency of the economically developed eastern coastal areas is significantly higher than that of inland provinces |
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Liang et al. [7] | SBM model | Evaluation on the efficiency of regional green technology innovation in 30 regions of China | 2006–2017 | The efficiency of regional green technology innovation is generally low, and technology inefficiency is more serious than scale inefficiency |
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Sueyoshi and Goto [8] | An improved DEA model | Discussion on the green technology innovation efficiency of Japanese industries | 2013–2015 | In the current business environment, production limits are likely to occur in most industries, with manufacturing outperforming nonmanufacturing in operating efficiency |
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Martinez and Pina [9] | Two Malmquist DEA | Regional energy efficiency across Colombian departments in the manufacturing industries | 2005–2013 | Various manufacturing industries across Colombian departments have a high potential to increase energy efficiency |
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Zhang and Zhang [11] | SFA | Measurement of the efficiency of technology innovation in the Beijing-Tianjin-Hebei region | 2011–2015 | The overall innovation efficiency of Beijing-Tianjin-Hebei is relatively low, but the innovation efficiency of Hebei province is basically higher than the average of Beijing-Tianjin-Hebei |
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Wang et al. [12] | SFA | Measurement of the technology innovation efficiency of Xinjiang’s equipment manufacturing industry | 2000–2014 | The technology innovation efficiency of Xinjiang’s equipment manufacturing industry and its subsectors is not high, but the efficiency has improved significantly in recent years; there is not much difference between the subsectors, and there is still much room for improvement |
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Yi et al. [13] | SFA | Calculation and analysis of the technology innovation efficiency of China’s high-tech industries | 2000–2015 | The overall level of high-tech industry`s innovation efficiency is not high, the innovation efficiency of the high-tech industry among regions generally shows a fluctuating increase, and the regional distribution of its growth rate is different |
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Yin and Chen [14] | Two-phase SFA | Innovation efficiency of 103 Shanghai-Shenzhen pharmaceutical listed companies in China | 2009–2013 | The efficiency of technology innovation in enterprises is characterized by stages, resource utilization in innovation generation phase is between 39% and 46%, efficiency loss in innovation transformation stage is less than 35%, innovation generation promotes the transformation of innovative output |
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Yu [15] | PP-SFA | Measurement of the innovation efficiency of 27 regions in China | 2008–2015 | The average innovation efficiency of Chinese universities is 0.509, which is at a medium level as a whole; and the innovation efficiency of universities in different regions is quite different, and their development is uneven |
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Li and Dong [16] | PP-SFA | Measurement of value creation efficiency in 12 branches of Chinese Academy of Sciences | 2009–2014 | The overall value creation efficiency of CAS is low and the mean is 0.58, which could be improved significantly |
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Fan et al. [30] | SBM model | The analysis of regional science and technology resource allocation efficiency in China | 2001–2014 | The spatial distribution pattern of regional science and technology resource allocation efficiency is obvious. The efficiency of science and technological resource allocation without considering the nonexpected output is more than that of the nonexpected output |
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Li and Wen [31] | SBM-Tobit | Estimation of the allocation efficiency of science and technology financial resources in 27 provinces of China | 2009–2016 | The overall status of resource allocation has not been reached, there are differences among regions and there is still much room for improvement |
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Chen et al. [32] | Catastrophe series method | The regional differences in the allocation capacity of agricultural technology resource in China | 1999–2011 | There is a significant difference in the allocation of agricultural science and technology resource by region, and the fairness of allocation has generally declined |
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Huang and Zhang [33] | DEA model | Analysis on the resource allocation efficiency of the strategic emerging industries | 2009–2011 | Analysis on the resource allocation efficiency of the strategic emerging industries |
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