Do digital technology and political risk reduce CO2 emissions inequality in OECD economies? Panel evidence

This study examines the effect of digital technology and political risk on carbon dioxide (CO<sub>2</sub>) emissions inequality within a panel sample of 32 OECD countries from 1997 to 2019. To examine the above nexus, the current study controls for primary energy consumption, economic growth, and urbanisation in baseline models. The long-run results from the Pooled Mean Group-Autoregressive Distributed Lag (PMG-ARDL) Method indicate that 1 % increase in digitalisation and political risk, respectively, reduces CO<sub>2</sub> emission inequality by 0.026 % and 0.26 %. Meanwhile, in the presence of political risk, a 1 % increase in digitalisation lessens the CO<sub>2</sub> emission inequality by 0.01 %. Furthermore, results also show that 1 % increase in primary energy consumption and economic growth, respectively, raises the CO<sub>2</sub> emission inequality by 0.51 % and 0.11 %. Conversely, a 0.6 % decrease in emission inequality is noticed for 1 % increase in urbanisation. These findings are robust across alternative digitalisation (i.e., information globalisation) and political risk (i.e., institutional quality) variables as well as the Panel Corrected Standard Errors (PCSE) method. In robustness analysis, renewable and non-renewable energy consumption are treated as separate control variables, revealing that renewable energy consumption reduces CO<sub>2</sub> emission inequality, whereas non-renewable energy consumption exacerbates it. These findings offer policy implications for OECD economies on curbing CO<sub>2</sub> emission inequality.

Authors

Institutions

Publication Details

Journal
Journal of Environmental Management
Published
2025-08-04
DOI
https://doi.org/10.1016/j.jenvman.2025.126742
Citations
4
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
12.52
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Do digital technology and political risk reduce CO2 emissions inequality in OECD economies? Panel evidence

Weibai Liu, Mantu Kumar Mahalik, Himanshu Sekhar Panda, Giray Gözgör et al.
4 citations
Journal of Environmental Management
Energy, Environment, Economic Growth
12.52
article

Do digital technology and political risk reduce CO2 emissions inequality in OECD economies? Panel evidence

Weibai Liu, Mantu Kumar Mahalik, Himanshu Sekhar Panda, Giray Gözgör, Kashif Nesar Rather, Fang Liu
article en
4 citations

Abstract

This study examines the effect of digital technology and political risk on carbon dioxide (CO<sub>2</sub>) emissions inequality within a panel sample of 32 OECD countries from 1997 to 2019. To examine the above nexus, the current study controls for primary energy consumption, economic growth, and urbanisation in baseline models. The long-run results from the Pooled Mean Group-Autoregressive Distributed Lag (PMG-ARDL) Method indicate that 1 % increase in digitalisation and political risk, respectively, reduces CO<sub>2</sub> emission inequality by 0.026 % and 0.26 %. Meanwhile, in the presence of political risk, a 1 % increase in digitalisation lessens the CO<sub>2</sub> emission inequality by 0.01 %. Furthermore, results also show that 1 % increase in primary energy consumption and economic growth, respectively, raises the CO<sub>2</sub> emission inequality by 0.51 % and 0.11 %. Conversely, a 0.6 % decrease in emission inequality is noticed for 1 % increase in urbanisation. These findings are robust across alternative digitalisation (i.e., information globalisation) and political risk (i.e., institutional quality) variables as well as the Panel Corrected Standard Errors (PCSE) method. In robustness analysis, renewable and non-renewable energy consumption are treated as separate control variables, revealing that renewable energy consumption reduces CO<sub>2</sub> emission inequality, whereas non-renewable energy consumption exacerbates it. These findings offer policy implications for OECD economies on curbing CO<sub>2</sub> emission inequality.

Journal of Environmental ManagementVol. 392
University of Bradford (GB), Indian Institute of Technology Kharagpur (IN), Hunan University of Science and Engineering (CN), GITAM University (IN)
Openalex Percentile: Top 2%
Energy, Environment, Economic Growth
12.52
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.