Abstract
Innovation is the core driving force of high-end equipment manufacturing industry, and the evaluation of its efficiency has important theoretical and practical value. In this paper, taking Guangdong Province as an example, which is a strong province of high-end equipment manufacturing industry in China. DEA Malmquist index method is utilized. Different from other DEA methods, this method is used to study the variation of efficiency, instead of just giving the efficiency value. In order to reduce the repeatability of the existing index system and ensure the scientificity and accuracy of the evaluation results, two new input index parameters, namely, full-time equivalent input of R&D personnel and internal expenditure of R&D funds, were constructed innovatively. The results show that in order to improve the technological innovation efficiency of high-end intelligent manufacturing in Guangdong province, it is not enough to focus on innovation itself, but also to focus on the transformation of innovation achievements.
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References
Lee, J., Shim, E.: Moderating effects of R&D on corporate growth in US and Japanese hi-tech industries: an empirical study. J. High Technol. Manag. Res. (6), 179–191 (1995)
Romijn, H., Mike, A.: Innovation networking and proximity: lessons from small high technology firms in the UK. Reg. Stud. 36(1), 81–88 (2002)
Neelankevil, J.P., Alaganar, V.T.: Strategic resource commitment of high technology firms an international comparison. J. Bus. Res. (6), 493–502 (2003)
Zhang, Q., Wang, J.: Evaluation of independent innovation efficiency of China’s high-tech industry based on DEA. Sci. Technol. Manag. Res. 31(10), 9–13+17 (2011). (in Chinese)
Wei, F., Jiang, Y.: Evaluation of technological innovation efficiency of small and medium-sized enterprises in Anhui Province and analysis of influencing factors. China Sci. Technol. Forum (08), 100–106 (2012). (in Chinese)
Feng, Y., Teng, J.: Evaluation of technological innovation efficiency of high-tech industry in Jiangsu Province. Sci. Sci. Manag. Sci. Technol. 31(08), 107–112 (2010). (in Chinese)
Huang, H., Zhang, Z.: Technological innovation efficiency of China’s strategic emerging industries based on DEA Malmquist index model. Technol. Econ. 34(01), 21–27+68 (2015). (in Chinese)
People’s Government of Guangdong Province: Three year action plan for industrial transformation and upgrading of Guangdong Province (2015–2017), 21 Mar 2013. http://www.gd.gov.cn/gkmlpt/content/0/143/post_143801.html. (in Chinese)
Chen, W., Jing, R., Zhang, H., et al.: Evaluation of technological innovation efficiency of large and medium-sized industrial enterprises in northeast China – based on DEA-Malmquist index method. East China Econ. Manag. 31(02), 66–71 (2017)
Hou, R.: Research on the evolution and driving difference of regional technology innovation efficiency improvement in China based on Malmquist index. Ind. Technol. Econ. 35(01), 122–129 (2016)
Yuan, Q., Wu, L., Zhang, P.: Research on the path of improving innovation efficiency of large manufacturing enterprises in China under green growth. Sci. Technol. Progr. Countermeas. 34(22), 85–92 (2017)
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This paper is supported by major projects of the National Social Science Foundation (NO. 16ZDA013).
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Wu, S., Li, H., Zhang, J., Fan, B. (2021). Evaluation Research on Technology Innovation Efficiency of High-End Equipment Manufacturing Based on DEA Malmquist Index Method—Taking Guangdong Province as an Example. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education III. ICCSEEA 2020. Advances in Intelligent Systems and Computing, vol 1247. Springer, Cham. https://doi.org/10.1007/978-3-030-55506-1_9
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DOI: https://doi.org/10.1007/978-3-030-55506-1_9
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