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

Xu, Yonghong, Su, Bingjie, Pan, Wenjie and Zhou, Peng ORCID: https://orcid.org/0000-0002-4310-9474 2024. A high-frequency digital economy index: text analysis and factor analysis based on big data. Applied Economics Letters 10.1080/13504851.2024.2349128

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Abstract

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.

Item Type:	Article
Date Type:	Published Online
Status:	In Press
Schools:	Schools > Business (Including Economics)
Publisher:	Taylor and Francis Group
ISSN:	1350-4851
Date of First Compliant Deposit:	2 May 2024
Date of Acceptance:	24 April 2024
Last Modified:	02 Nov 2025 02:45
URI:	https://orca.cardiff.ac.uk/id/eprint/168674

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