A high-frequency digital economy index : text analysis and factor analysis based on big data

Yonghong Xu, Bingjie Su, Wenjie Pan and Peng Zhou

We propose a high-frequency digital economy index by combining official white papers and big data. It aims to resolve the discrepancy between the new economic reality and old economic indicators used by decision-makers and policymakers. We have demonstrated a significant effect due to keyword rotations on the indices. Further analysis of the Dagum-Gini coefficient shows that spatial heterogeneity and temporal variation of the digital economy indices can be mainly attributed to between-group inequality

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Year of publication:	April 2024
Authors:	Xu, Yonghong ; Su, Bingjie ; Pan, Wenjie ; Zhou, Peng
Publisher:	Cardiff, United Kingdom : Cardiff Business School, Cardiff University
Subject:	Digital Economy \| High-Frequency Index \| Big Data \| Text Analysis \| Hierarchical Dynamic Factor Model \| Big data \| Faktorenanalyse \| Factor analysis \| Digitalisierung \| Digitization \| Electronic Commerce \| E-commerce \| Data Mining \| Data mining