Empirical research on the influencing factors and improvement path of big data industry construction based on factor analysis method

Abstract

With the continuous development of the information technology era, the big data industry is becoming one of the important criteria for measuring the comprehensive strength of the region. To better understand and explore the development status of the big data industry, it is essential to analyze the influencing factors of the big data industry, and then determine effective countermeasures that can promote the long-term development of the big data industry according to the influencing factors. This paper is committed to studying the influencing factors of the big data industry. By selecting 16 indicators, including policies and regulations, management institutions, technological innovation,talents distribution and per capita GDP in 31 provinces and municipalities directly under the Central Government in 2021, the factor analysis method is used to reduce 16 indicators into four factors affecting the government promotion, industrial ecosystem, industry platform and industrial resources affecting the big data industry, and establishes a multivariate linear regression model that affects the scale of the big data industry. This study found that there is a positive correlation between the industrial scale of the big data industry and the industrial ecosystem, government promotion and industrial resources. Combined with the specific situation and empirical analysis results of the development of provinces and cities across the country, this paper puts forward relevant suggestions in order to provide some help for the development of the big data industry in 31 provinces and cities across the country, hoping to provide a certain theoretical basis for the relevant departments in charge of the big data industry to formulate corresponding policies.