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Research on the Evolution of Government Attention in China's Science, Technology and Innovation Policy: A Text Analysis (1983-2022)

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DOI: 10.23977/ieim.2024.070212 | Downloads: 9 | Views: 223

Author(s)

Zhijian Lu 1, Yiwen Shen 2

Affiliation(s)

1 Xingzhi College, Zhejiang Normal University, Jinhua, Zhejiang, China
2 School of Economics and Management, Zhejiang Normal University, Jinhua, Zhejiang, China

Corresponding Author

Yiwen Shen

ABSTRACT

Amidst escalating global technological competition, the Chinese government has prioritized science, technology and innovation (STI) policy as a means to bolster our competitiveness. This study collected and analyzed 929 policy documents related to STI in China between 1983 and 2022. Employing government attention theory and text analysis methodologies, the study systematically examined the evolutionary characteristics of these policies. The findings unveil distinct stages in the evolution of government attention within this policy domain, accompanied by corresponding shifts in focus. In the Starting Stage, policy emphasis was placed on scientific and technological development itself and the construction of basic capabilities. With economic and social development, the policy focus shifted towards the transformation and application of scientific and technological achievements, with greater emphasis on the leading role of enterprises in scientific and technological innovation. In recent years, policy priorities have centered on breakthroughs in key areas and core technologies, while striving to build a comprehensive STI ecosystem. This study provides insights into understanding the evolutionary patterns of China's STI policy, optimizing relevant policies, and enhancing government governance capabilities.

KEYWORDS

STI Policy, Government Attention, Evolutionary Characteristics, Innovation, Text Analysis, China

CITE THIS PAPER

Zhijian Lu, Yiwen Shen, Research on the Evolution of Government Attention in China's Science, Technology and Innovation Policy: A Text Analysis (1983-2022). Industrial Engineering and Innovation Management (2024) Vol. 7: 78-96. DOI: http://dx.doi.org/10.23977/ieim.2024.070212.

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