Author(s)

Tianyi Xue

Corresponding Author

Tianyi Xue

ABSTRACT

Since the third scientific and technological revolution, information and communication technology and related industries have made important contributions to the macro economy, meanwhile the digital economy has also developed vigorously. From the perspective of communication, this paper explores the influence of digital economy on macroeconomic fluctuations. This paper uses principal component analysis to construct digital infrastructure early warning indexes and conventional early warning indexes, combined with Random Forest Regression (RFR), calculates the importance of digital infrastructure, capital formation, human resources and other factors to China's economic growth, and carries out forecasting research. The research finds that compared with the construction of digital infrastructure, its application plays a more obvious role in driving the economy. The importance of digital infrastructure early warning factor has regional heterogeneity, and it has the greatest influence on the economically developed eastern region. In terms of research methods, Random Forest is an effective machine learning method.

KEYWORDS

Random Forest Regression, Digital Infrastructure, Economic Growth