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How Does Economic Resilience Enhance the Innovation Capability of the High-Tech Industry? Evidence from China.

Authors :
Huang, Zhenyu
Hou, Bowen
Source :
Systems; Nov2023, Vol. 11 Issue 11, p531, 18p
Publication Year :
2023

Abstract

There is still a significant gap between most high-tech fields in China and developed countries, and the relationship between the economic resilience of innovation systems and the innovation capability of the high-tech industry has received attention. Using data from 30 provinces in China, this study adopts the fuzzy-set qualitative comparative analysis approach to analyze the relationship between economic resilience and high-tech industry innovation capability, and the findings are as follows: (1) Technological talents and economic development are necessary conditions for explaining the high innovation capability of high-tech industries. (2) The combination of economic resilience and different factors constitutes the equivalent configuration of two high innovation capabilities and four low innovation capabilities. (3) Under high-intensity technological competition between governments, the increased agglomeration of technological talents, and high-quality economic development, the strengthening of economic resilience is conducive to enhancing the innovation capability of high-tech industries. (4) Under low-intensity technological competition between governments, a well-developed technology market, and increased agglomeration of technological talents, the strengthening of economic resilience is adverse to enhancing the innovation capability of high-tech industries. The main contribution of this study is to clarify the configuration mechanism of economic resilience that acts on the innovation capability of the high-tech industry and reveal the complex interaction between economic resilience and multiple factors. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20798954
Volume :
11
Issue :
11
Database :
Complementary Index
Journal :
Systems
Publication Type :
Academic Journal
Accession number :
173861816
Full Text :
https://doi.org/10.3390/systems11110531