Innovation is an inexhaustible driving force for the development of a
country and a nation. It is also one of the main engines of economic growth. It
has become a general consensus that scientific and technological innovation is
the driving force and leader of development, which has attracted great
attention from the government and scholars in all dimensions of social
governance. The overall trend of scientific and technological (referred as S
& T)innovation research in China has been increasing year by year. The
purpose of this study is to comprehensively text-mine and evaluate all S & T
innovation articles published in academic journals from 2010 to 2021,
systematically review the progress of S & T innovation research in China,
and discuss the future development direction of S & T innovation. In China’s
S & T innovation, we must build a research pattern that simultaneously
tackles key core technologies and advances basic application-oriented
technologies from the perspectives of comprehensive research, top-level design
and high-level promotion.
References
[1]
Aglietta, M., & Bai, G. (2019). Post-Congress China: A New Era for the Country and for the World. Dans Revue de l’OFCE, 164, 111-138. https://doi.org/10.3917/reof.164.0111
[2]
Dai, R. C., Wang, A. Z., & Chen, B. K. (2022). Innovation and Entrepreneurship in Core Industries of Digital Economy in China: Stylized Facts and Index Compilation. Economic Perspectives, No. 4, 29-48.
[3]
Doloreux, D., & Gomez, I. P. (2017). A Review of (Almost) 20 Years of Regional Innovation Systems Research. European Planning Studies, 25, 371-387. https://doi.org/10.1080/09654313.2016.1244516
[4]
Feng, J. Y. (2016). The Innovation-Based Rise of Great Powers and Their Technological Innovation Capability—Experience of World Science and Technology Great Powers and China’s Development Path. People’s Tribune. Frontiers, 6-37.
[5]
Ion, P., & Cristina, V. (2014). Innovation: A Strategic Option for Future Economic Growth. Annals of Faculty of Economics, University of Oradea, Faculty of Economics, 1, 1220-1225.
[6]
Li, H. B., Duan, X. Y., & Zhai, R. R. (2020). Two-Way Investment, Patent Heterogeneity and Enterprise’s Innovative Quality. Journal of Beijing University of Posts and Telecommunications (Social Sciences Edition), 22, 96-105.
[7]
Shen, Y. X., & Li, C. G. (2023). The Measurement and Spatial-Temporal Evolution Characteristics of the Reform Effect for Streamlining Administration, Delegating Power, Strengthening Regulation and Optimizing Service of Sci-Tech in China. Science & Technology Progress and Policy, 1-11.
[8]
Vedung, E. (1997). Public Policy and Program Evaluation. Transaction Publishers.
[9]
Yan, D. B., Zhao, N. N., & Ding, L. J. (2021). Research on Evaluation and Optimization of Scientific and Technological Innovation Policy Based on “Process-Content-Result”. Regional Economic Review, No. 6, 66-74.
[10]
Yu, L. P., Ran, J. R., & Zhang, Y. M. (2023). Research on the Evolution Characteristics of Science and Technology Innovation Quality Related Policies from the Perspective of Policy Instruments: Based on Analysis of Policy Texts from 2000 to 2022. Journal of Macro-Quality Research, 11, 1-14.
[11]
Zhang, B. J. (2019). Thematic Analysis and Evolution Process of National Science and Technology Innovation Policy: Based on the Perspective of Text Mining. Science of Science and Management of S. & T., 40, 15-31.
[12]
Zhang, Y. A., & Ma, Y. (2017). Quantitative Analysis of Regional Technological Innovation Policies with R Language. Journal of Intelligence, 36, 113-118.
[13]
Zhang, Y. H. (2021). Research on Attention Allocation and Resource Layout of Local Government’s Science and Technology Innovation in the 14th Five-Year Plan Period-Based on the Text Analysis of the 14th Five-Year Plan of 30 Provinces and Cities and Their Long-Term Goals. Scientific Management Research, 39, 30-34.
[14]
Zhao, B. B., & Chen, K. H. (2023). Demand-Oriented Scientific and Technological Innovation Governance and the Efficacy of National Innovation System. Science Research Management, 44, 1-10.
[15]
Zhu, J. W., & Yuan, M. (2023). The Relationship among Inventor Network Characteristics, Knowledge Reorganization and Enterprise Technological Innovation Performance. Science & Technology Progress and Policy, 1-11.
