Digital empowerment of environmental regulation: a study on the impact of energy big data centers on improving urban air quality

The energy big data center (EBDC) is an important tool for government regulation of energy consumption in the digital era. However, its environmental governance effects have yet to receive systematic empirical tests. Our study uses the Difference-in-Differences (DID) method to examine the environmental effects following the implementation of China’s EBDC policy, providing empirical evidence on the impact of EBDC from the perspective of urban air quality. We find that, compared to non-pilot cities, the establishment of EBDC effectively reduces the urban air quality index by 1.505. Mechanism analysis indicates that EBDC improves urban air quality by enhancing the efficiency of government environmental enforcement and stimulating regional green innovation. Heterogeneity analysis reveals that the environmental governance effects of EBDC are more significant in cities where local governments exhibit stronger motivation for environmental improvement, are located in northern regions with high reliance on fossil fuels, and have higher levels of digital economic development. Our research findings provide important policy implications for advancing the implementation of EBDC, promoting digital government regulation, and strengthening environmental protection.

Authors

Institutions

Publication Details

Journal
Frontiers in Environmental Science
Published
2026-04-07
DOI
https://doi.org/10.3389/fenvs.2026.1785630
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital empowerment of environmental regulation: a study on the impact of energy big data centers on improving urban air quality

Yi-Xiang Wang, Qiuyue Wang, Yujuan Jiang, Yu Ran
Frontiers in Environmental Science
Energy, Environment, Economic Growth
article

Digital empowerment of environmental regulation: a study on the impact of energy big data centers on improving urban air quality

Yi-Xiang Wang, Qiuyue Wang, Yujuan Jiang, Yu Ran
article en

Abstract

The energy big data center (EBDC) is an important tool for government regulation of energy consumption in the digital era. However, its environmental governance effects have yet to receive systematic empirical tests. Our study uses the Difference-in-Differences (DID) method to examine the environmental effects following the implementation of China’s EBDC policy, providing empirical evidence on the impact of EBDC from the perspective of urban air quality. We find that, compared to non-pilot cities, the establishment of EBDC effectively reduces the urban air quality index by 1.505. Mechanism analysis indicates that EBDC improves urban air quality by enhancing the efficiency of government environmental enforcement and stimulating regional green innovation. Heterogeneity analysis reveals that the environmental governance effects of EBDC are more significant in cities where local governments exhibit stronger motivation for environmental improvement, are located in northern regions with high reliance on fossil fuels, and have higher levels of digital economic development. Our research findings provide important policy implications for advancing the implementation of EBDC, promoting digital government regulation, and strengthening environmental protection.

Frontiers in Environmental ScienceVol. 14
Anhui University (CN), Guizhou University of Finance and Economics (CN), Nanjing University of Science and Technology (CN), Zhejiang Financial College (CN), Anhui Science and Technology University (CN), Anhui University of Technology (CN)
Openalex Percentile: Top 28%
Energy, Environment, Economic Growth
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.