Research on Influencing Factors of Digital Transformation of Enterprises in Jing-Jin-Ji Region (Beijing-Tianjin-Hebei) Based on Principal Component Analysis

Abstract

The process of world economic recovery is tortuous, the uncertainty of the external environment is increasing, and downward pressure on the domestic economy still exists. Digital transformation is an important part of helping high-quality development. As an important economic pillar in the northern region, the Jing-Jin-Ji Region (Beijing-Tianjin-Hebei) faces many challenges in digital transformation. In this paper, by constructing the evaluation model of digital transformation level, four second-level indicators and fifteen third-level indicators are constructed, and then Pearson coefficient correlation analysis is carried out to eliminate explanatory variables that have little influence on the explained variables. In addition, principal component analysis is used to reduce the dimensions of 10 explanatory variables to three principal components. It is found that the per capita GDP, the average wages of information transmission, software and information technology service industry, the average wages of education, scientific research and technology services, and the proportion of the secondary industry are important factors affecting the digital transformation of enterprises. Given the above conclusions, some suggestions are put forward, such as optimizing the industrial structure, strengthening the construction of digital infrastructure, attaching importance to the training of digital talents, and optimizing the industrial structure.