Comparative Analysis of Chinese Cities' Innovation Capability Based on Spectral Clustering

Yike Li () and Qingguo Tang ()
Additional contact information
Yike Li: Nanjing University of Science and Technology, School of Economic and Management
Qingguo Tang: Nanjing University of Science and Technology, School of Economic and Management

A chapter in Proceedings of the 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022), 2023, pp 593-598 from Springer

Abstract: Abstract Starting from three aspects of city innovation environment, innovation input and innovation output, this paper constructs an evaluation index system of city innovation capability with 3 first class index and 12 second class index, and uses spectral clustering algorithm to evaluate the innovation capability of 117 first tier to third tier cities in China. The research results show that the innovation capabilities of first tier to third tier cities in China can be classified into five categories.

Keywords: City innovation capability; Evaluation index system; Spectral clustering algorithm (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-098-5_67

Ordering information: This item can be ordered from
http://www.springer.com/9789464630985

DOI: 10.2991/978-94-6463-098-5_67

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().