Analysis on Technological Innovation Efficiency in Equipment Manufacturing Industry

Min Liu () and Sifeng Liu ()
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Min Liu: Nanjing University of Aeronautics and Astronautics
Sifeng Liu: Nanjing University of Aeronautics and Astronautics

Chapter Chapter 18 in City, Society, and Digital Transformation, 2022, pp 235-249 from Springer

Abstract: Abstract Based on the panel data of ten subsectors in equipment manufacturing industry, this paper utilizes the DEA-Malmquist index method to analyse the static and dynamic technological innovation efficiency of equipment manufacturing industry in China from 2015 to 2020, and afterwards, analyse the influencing of input–output indexes on comprehensive efficiency value via the grey relational analysis (GRA) model. The static result reveals that most industries fail to achieve DEA effective, where the main reason is that resources have been put into redundancy. Meanwhile, the dynamic result shows that the development of equipment manufacturing industry is slowly rising and experiences some volatility during the empirical research period, in which the trend is mainly contributed by technological efficiency. And the main reason that restricts the improvement of technological innovation efficiency is due to the slowdown in technological progress. Furthermore, the input–output indicators have different effects on innovation efficiency in various industries, where R&D personnel and sales revenue of new products are the input and output indexes having the greatest correlation with technological innovation efficiency respectively. Based on the empirical analysis, relevant suggestions are proposed for the future innovation development of equipment manufacturing industry.

Keywords: Equipment manufacturing industry; Technological innovation efficiency; DEA-Malmquist; Grey relational analysis (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-031-15644-1_18

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DOI: 10.1007/978-3-031-15644-1_18

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