Synergy effects and it's influencing factors of China's high technological innovation and regional economy.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2020
Historique:
received: 02 12 2019
accepted: 20 03 2020
entrez: 21 5 2020
pubmed: 21 5 2020
medline: 28 7 2020
Statut: epublish

Résumé

The Chinese government adheres to the innovation driven strategy and emphasizes that technological innovation is the strategic support for improving social productivity and comprehensive national strength. This paper discusses the mechanism of technological innovation and regional economic co-evolution, and constructs an index system to assess them based on the principles of synergy and systematics. The authors use a dynamic coupling model to study the law of the cooperative evolution of composite systems and geo-detector methods to reveal the main factors controlling the degree of coordination among them. The results show that the total factor productivity of China's high-tech industry showed a "W"-type trend of change from 2006 to 2016, and the other indices exhibited a volatile trend. The total factor productivity, technical efficiency, scale efficiency, pure technical efficiency, and technological progress increased by 37%, 13.3%, 3.9%, 9%, and 20.8%, respectively. There was a significant spatial difference in changes in total factor productivity, forming a core-edge spatial pattern with the middle and upper reaches of the Yangtze River as the center of concentration. Most of China's technological innovation and regional economic complex systems were in a state of interactive development from 2007 to 2016, except in the three northeastern provinces of Zhejiang, Shanghai, and the western part of the country. The degree of coupling of the other provinces showed an increasing trend, and the overall degree of coupling exhibited the spatial pattern of Central > Eastern > Western > Northeastern. The three most influential factors for the degree of coupling of China's provincial complex system were the gross domestic product, efficiency of technological innovation, and expenditure on research and development, whereas the three most important factors affecting the degree of coupling of complex systems were the efficiency of technological innovation, gross domestic product, and number of high-tech enterprises as well as research and development personnel, respectively, in the eastern, central, western, and northeastern regions. Finally, the paper puts forward the suggestions of regional innovation driven coordinated development, technology innovation and regional economic coordinated development, in order to provide reference for the high-quality economic development of developing countries.

Identifiants

pubmed: 32433695
doi: 10.1371/journal.pone.0231335
pii: PONE-D-19-33388
pmc: PMC7239604
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0231335

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

Proc Natl Acad Sci U S A. 2016 Aug 30;113(35):9682-90
pubmed: 27519800
J Environ Manage. 2019 Aug 1;243:227-239
pubmed: 31096175

Auteurs

Longwu Liang (L)

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.

Zhen Bo Wang (ZB)

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China.

Dong Luo (D)

College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China.

Ying Wei (Y)

Torch High-Tech Industry Development Center Ministry of Science & Technology, Beijing, China.

Jingwen Sun (J)

College of Geography and Environmental Science, Zhejiang Normal University, Jinhua, Zhejiang, China.

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Classifications MeSH