Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

STI or DUI modes of innovation

Evidence from comprehensive evaluation of four cities in China

Bibliographic Data

ID22189406
AuthorsHonghui Deng (0000-0002-5549-623X, Shenzhen Polytechnic University), Bo Chen (0009-0009-0184-3556, Dongguan University of Technology), Weixin Zhai (0000-0002-5507-6593)
Year2024
Volume8
Issue13
Pages9748
Publication date2024-11-14
Open AccessYes
TypeARTICLE
VenueJournal of Infrastructure Policy and Development (JOURNAL)
Journal identifiersISSN: 2572-7923 • E-ISSN: 2572-7931
PublisherEnPress Publisher (PUBLISHER)
DOI10.24294/jipd9748
OpenAlexW4404314061
LanguageEN

The Science and Technology Innovation Center holds a pivotal position in the national science and technology innovation system, and a scientific evaluation of the “Sci-tech Innovation Center” will guide its construction direction. This study found the advantages and disadvantages of the four cities through comparison; Hence improvement suggestions were proposed for the weaknesses of the four cities. There are two main paths for the government to drive technology innovation: STI (Science and Technology Innovation) mode and DUI (Doing, Using, Interacting) mode. With the aid of the evaluation index system of the Sci-tech Innovation Center, this article uses fuzzy sets, rough sets and fuzzy dynamic clustering methods to comprehensively evaluate the effects of driving technology innovation in the four cities of Beijing, Shanghai, Shenzhen and Guangzhou. The results found that Shenzhen has a significant effect in DUI, and Beijing has a significant effect in STI. The choice of path is related to the abundance of innovation resources

Business · China · Political science · Transport engineering · Engineering · Innovation and Knowledge Management · University-Industry-Government Innovation Models

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae