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23 August 2022 Study on innovation capability data of central cities in Pearl River Delta based on factor analysis
Yubo Gao, Rui Li
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Proceedings Volume 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022); 123300Y (2022) https://doi.org/10.1117/12.2646972
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 2022, Huzhou, China
Abstract
In recent years, the innovation capability of the Pearl River Delta region has undergone significant changes. The paper, based on cluster analysis and factor analysis, seeks to analyze the development level, differences, and influencing factors of the innovation capability of the central cities in the PRD in 2020. The results indicate that those factors driving innovation include spending on research, science and technology profit, science and technology output, research potential, education, and consumption level. Based on the scores of the three factors, Shenzhen ranks first with an overall score of 1.233, while Zhuhai ranks last with an overall score of -0.468. The development of innovation capability in the PRD city clusters forms an innovative city network with Guangzhou and Shenzhen as the core, Foshan, and Dongguan as the subcenters, and other cities such as Jiangmen, Zhaoqing, Huizhou, Zhuhai, and Zhongshan as the third echelon. To enhance the overall innovation capacity in the PRD, an innovation community must be built based on the integration strategy of the PRD region. Greater efforts must be made to enhance the innovation capacity in three aspects: spending on research as well as science and technology profit, science and technology output together with research potential, and education and consumption level.
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Yubo Gao and Rui Li "Study on innovation capability data of central cities in Pearl River Delta based on factor analysis", Proc. SPIE 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 123300Y (23 August 2022); https://doi.org/10.1117/12.2646972
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KEYWORDS
Factor analysis
Analytical research
Scientific research
Manufacturing
Patents
Statistical analysis
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