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Prethodno priopćenje
https://doi.org/10.17559/TV-20190430051659

Study on Evaluating Innovation Ability of High-tech Industry Based on Particle Swarm Synthesis Optimization

Jingyu Yin*   ORCID icon orcid.org/0000-0001-8238-5108 ; College of Economics and Management, Nanjing Forestry University, No.159 Longpan Road, Nanjing,210037, Jiangsu China
Yi Su ; School of Economics and Mangement, Harbin Engineering University, No.145, Nantong Road, Harbin 150000, China

Puni tekst: engleski, pdf (323 KB) str. 616-623 preuzimanja: 17* citiraj
APA 6th Edition
Yin*, J. i Su, Y. (2021). Study on Evaluating Innovation Ability of High-tech Industry Based on Particle Swarm Synthesis Optimization. Tehnički vjesnik, 28 (2), 616-623. https://doi.org/10.17559/TV-20190430051659
MLA 8th Edition
Yin*, Jingyu i Yi Su. "Study on Evaluating Innovation Ability of High-tech Industry Based on Particle Swarm Synthesis Optimization." Tehnički vjesnik, vol. 28, br. 2, 2021, str. 616-623. https://doi.org/10.17559/TV-20190430051659. Citirano 12.05.2021.
Chicago 17th Edition
Yin*, Jingyu i Yi Su. "Study on Evaluating Innovation Ability of High-tech Industry Based on Particle Swarm Synthesis Optimization." Tehnički vjesnik 28, br. 2 (2021): 616-623. https://doi.org/10.17559/TV-20190430051659
Harvard
Yin*, J., i Su, Y. (2021). 'Study on Evaluating Innovation Ability of High-tech Industry Based on Particle Swarm Synthesis Optimization', Tehnički vjesnik, 28(2), str. 616-623. https://doi.org/10.17559/TV-20190430051659
Vancouver
Yin* J, Su Y. Study on Evaluating Innovation Ability of High-tech Industry Based on Particle Swarm Synthesis Optimization. Tehnički vjesnik [Internet]. 2021 [pristupljeno 12.05.2021.];28(2):616-623. https://doi.org/10.17559/TV-20190430051659
IEEE
J. Yin* i Y. Su, "Study on Evaluating Innovation Ability of High-tech Industry Based on Particle Swarm Synthesis Optimization", Tehnički vjesnik, vol.28, br. 2, str. 616-623, 2021. [Online]. https://doi.org/10.17559/TV-20190430051659

Sažetak
The innovation capability of high-tech industry reflects international competitiveness of a country. In order to scientifically evaluate the innovation capability, this paper proffers the comprehensive evaluation of the particle swarm synthesis optimization based on deviation maximization, principal component analysis and TOPSIS method. The evaluation index system of the innovation capability of high-tech industry is constructed; the paper conducts the empirical research through the particle swarm synthesis algorithm combined with provincial yearbook data on 30 provinces in China, and obtains the technological innovation capability results and rankings of each province's high-tech industry. The empirical results also show that the overall innovation capability of China's high-tech industry shows the growth trend, indicating that the implementation of an innovation-driven development strategy and other related policies have achieved suitable results. At the same time, the level of development in the eastern part of China is always higher than that of the central region and the western region. The paper further analyses reasons of differences in the development level of different regions. The particle swarm synthesis optimization has strong applicability in a comprehensive evaluation. This paper provides an effective reference for evaluating the innovation ability of the high-tech industry.

Ključne riječi
combination evaluation; empirical analysis; high-tech industry; innovation capability; particle swarm synthesis optimization

Hrčak ID: 255876

URI
https://hrcak.srce.hr/255876

Posjeta: 35 *