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CORRECTION article
Front. Environ. Sci.
Sec. Environmental Economics and Management
Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1578221
This article is a correction to:
The impact of China’s digital economy industry development and its structural indicators on carbon emission intensity
The final, formatted version of the article will be published soon.
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Text CorrectionIn the published article, there was an error. Translation errors in the Introduction and unclear explanation in the Method.A correction has been made to Introduction and Method,page 01. This sentence previously stated:“Introduction: The development of the digital economy has a profound impact on industrial economics. The article starts from the perspective of industrial organization theory. The thesis aims to analyze the industrial development of the digital economy and its three structural variables: digital manufacturing industry, digital service industry, and the development of industrial digitization on carbon emission intensity.Method: Based on the data of Input-output Tables with extended tables of 30 provinces, this paper analyzes the industrial development of digital economy and its three structural variables: digital manufacturing industry, digital service industry, and the development of industrial digitization on carbon emission intensity. ”The corrected sentence appears below:“Introduction: The development of the digital economy has a profound impact on industrial economics. The paper conducted an analysis of how China's digital economy and its structural indicators impact carbon emission intensity. The structural indicators comprise three dimensions: digital manufacturing industries, digital service industries, and industrial digitalization.Method: This study drew on industrial organization theory and established economic models for empirical test. The paper adopted the measurement framework from the U.S. Bureau of Economic Analysis (BEA) to assess digital economy development through the economic value-added of digital industries. The analysis utilized Input-Output Tables (including extended tables) from 30 Chinese provinces. For empirical modeling, fixed-effects models and Spatial Durbin Models (SDM) were systematically employed. ”The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Keywords: digital economy, digital economy industry, carbon intensity, Industrial organization theory, Low-carbon development, input-output
Received: 17 Feb 2025; Accepted: 28 Feb 2025.
Copyright: © 2025 Wang, Yuan, XIAO and Chi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Yitong Wang, School of Economics and Management, Beijing University of Technology, Beijing, 100124, Beijing Municipality, China
Yongke Yuan, School of Economics and Management, Beijing University of Technology, Beijing, 100124, Beijing Municipality, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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