Research Article

Research on Dynamic Comprehensive Evaluation of Resource Allocation Efficiency of Technology Innovation in the Aerospace Industry

Table 1

Existing literatures on measurement of technology innovation efficiency.

StudyResearch methodResearch contextPeriodFindings

Zemtsov and Kotsemir [5]DEAMeasurement of the efficiency of Russia’s regional technology system (RIS)2009–2012RIS 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

Chen and Fu [6]Dynamic DEAEvaluation on efficiency of R&D input-output systems in China’s provinces2006–2010All 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

Liang et al. [7]SBM modelEvaluation on the efficiency of regional green technology innovation in 30 regions of China2006–2017The efficiency of regional green technology innovation is generally low, and technology inefficiency is more serious than scale inefficiency

Sueyoshi and Goto [8]An improved DEA modelDiscussion on the green technology innovation efficiency of Japanese industries2013–2015In the current business environment, production limits are likely to occur in most industries, with manufacturing outperforming nonmanufacturing in operating efficiency

Martinez and Pina [9]Two Malmquist DEARegional energy efficiency across Colombian departments in the manufacturing industries2005–2013Various manufacturing industries across Colombian departments have a high potential to increase energy efficiency

Zhang and Zhang [11]SFAMeasurement of the efficiency of technology innovation in the Beijing-Tianjin-Hebei region2011–2015The 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

Wang et al. [12]SFAMeasurement of the technology innovation efficiency of Xinjiang’s equipment manufacturing industry2000–2014The 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

Yi et al. [13]SFACalculation and analysis of the technology innovation efficiency of China’s high-tech industries2000–2015The 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

Yin and Chen [14]Two-phase SFAInnovation efficiency of 103 Shanghai-Shenzhen pharmaceutical listed companies in China2009–2013The 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

Yu [15]PP-SFAMeasurement of the innovation efficiency of 27 regions in China2008–2015The 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

Li and Dong [16]PP-SFAMeasurement of value creation efficiency in 12 branches of Chinese Academy of Sciences2009–2014The overall value creation efficiency of CAS is low and the mean is 0.58, which could be improved significantly

Fan et al. [30]SBM modelThe analysis of regional science and technology resource allocation efficiency in China2001–2014The 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

Li and Wen [31]SBM-TobitEstimation of the allocation efficiency of science and technology financial resources in 27 provinces of China2009–2016The overall status of resource allocation has not been reached, there are differences among regions and there is still much room for improvement

Chen et al. [32]Catastrophe series methodThe regional differences in the allocation capacity of agricultural technology resource in China1999–2011There is a significant difference in the allocation of agricultural science and technology resource by region, and the fairness of allocation has generally declined

Huang and Zhang [33]DEA modelAnalysis on the resource allocation efficiency of the strategic emerging industries2009–2011Analysis on the resource allocation efficiency of the strategic emerging industries