Author(s)

Bahao Li ¹

Affiliation(s)

¹ College of Economics, Jiujiang University, Jiujiang, Jiangxi, 332005, China

Corresponding Author

Bahao Li

ABSTRACT

Technology is the primary productive force and drives the development of the world economy. Traditional science and technology(ST) finance research methods are usually based on experience and qualitative analysis, lack the support of quantitative data, and are unable to provide accurate and reliable prediction and decision support, and the subjectivity of experts and the slowness in processing complex data lead to certain errors in people's judgment and analysis of gene dominance. To this end, this article needs to use advanced technologies such as big data analysis technology and artificial intelligence to model and analyze large-scale complex data. This article aims to analyze the relationship between ST finance and competition among major powers, reveal the genetically dominant role of ST finance in shaping the landscape of ST competition among major powers, and explore its importance in global ST competition. This article conducts an in-depth analysis of the genetic dominance of ST finance and builds a relevant model. This article uses big data technology and analysis methods to calculate and draw the variables of technology finance and innovation, and conducts data analysis and comparison based on the graphics. Investigating the experimental data shows that in the F test, its statistic is 18.76 and the p-value is 0.

KEYWORDS

Technology Game, Technology Finance, Genetic Dominance, Data Mining

CITE THIS PAPER

Bahao Li, The Dominant Force of Science and Technology Financial Genes in the Great Power Technology Game. Accounting, Auditing and Finance (2023) Vol. 4: 66-75. DOI: http://dx.doi.org/10.23977/accaf.2023.040310.

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