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Author:

Yang, Fen (Yang, Fen.) | Guo, Guangsheng (Guo, Guangsheng.)

Indexed by:

EI Scopus SCIE

Abstract:

The National High-tech Zone is an important driving force for the transformation and upgrading of the industrial structure and it is also an important guarantee for the realization of an innovation-driven China. Thirteen indexes are selected from three aspects of innovation investment, innovation performance and innovation support to construct a comprehensive evaluation index system of innovation capability of national high-tech zones in the northern coastal comprehensive economic zone. On this basis, the entropy weight-fuzzy comprehensive evaluation model is used to evaluate the innovation and develop-ment capability of 19 national high-tech zones from 2015 to 2017 comprehensively. The results show that the comprehensive index of innovation capability of national high-tech zones shows an upward trend, but the overall innovation capability is relatively low; The contribution of each subsystem to innovation capability is different, the innovation environment is the largest, the innovation performance is the second, and the innovation investment is the smallest; According to the level of innovation ability, 19 high-tech zones are divided into star type, moderate type and backward type, with moderate type high-tech zones accounting for the largest proportion.

Keyword:

fuzzy comprehensive evaluation northern coastal comprehensive economic zone innovation ability National high-tech zone

Author Community:

  • [ 1 ] [Yang, Fen]Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China
  • [ 2 ] [Guo, Guangsheng]Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China
  • [ 3 ] [Guo, Guangsheng]Beijing Acad Sci & Technol, Beijing, Peoples R China

Reprint Author's Address:

  • [Yang, Fen]Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China

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Related Keywords:

Source :

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

ISSN: 1064-1246

Year: 2020

Issue: 6

Volume: 38

Page: 7857-7864

2 . 0 0 0

JCR@2022

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:132

Cited Count:

WoS CC Cited Count: 12

SCOPUS Cited Count: 11

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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