Bridging the Digital–Energy Divide: Artificial Intelligence, Internet Connectivity, and Knowledge Management

Achieving sustainable growth in emerging economies requires more than expanding clean energy; it also relies on the synergistic role of Artificial Intelligence, Internet Connectivity, and Knowledge Management in narrowing the digital–energy divide. Thus, this study examines the factors influencing the energy transition—both implicit and explicit—using the case of the BRICS economies with data spanning from 2000 to 2022. This study employed Driscoll–Kraay (DK) standard errors together with Lewbel IV-2SLS estimators to examine the connections. The results showed that Artificial Intelligence and economic growth hinder energy transition, while financial development and trade openness promote it. Furthermore, Knowledge Management and Internet Connectivity show threshold effects, and education remains negatively aligned with sustainability goals. Based on these findings policies are proposed.

Authors

Publication Details

Journal
Sustainability
Published
2025-10-08
DOI
https://doi.org/10.3390/su17198912
Citations
1
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
3.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bridging the Digital–Energy Divide: Artificial Intelligence, Internet Connectivity, and Knowledge Management

Ahmad Alzubi, Nowara Moftah
1 citations
Sustainability
Energy, Environment, Economic Growth
3.13
article

Bridging the Digital–Energy Divide: Artificial Intelligence, Internet Connectivity, and Knowledge Management

Ahmad Alzubi, Nowara Moftah
article en
1 citations

Abstract

Achieving sustainable growth in emerging economies requires more than expanding clean energy; it also relies on the synergistic role of Artificial Intelligence, Internet Connectivity, and Knowledge Management in narrowing the digital–energy divide. Thus, this study examines the factors influencing the energy transition—both implicit and explicit—using the case of the BRICS economies with data spanning from 2000 to 2022. This study employed Driscoll–Kraay (DK) standard errors together with Lewbel IV-2SLS estimators to examine the connections. The results showed that Artificial Intelligence and economic growth hinder energy transition, while financial development and trade openness promote it. Furthermore, Knowledge Management and Internet Connectivity show threshold effects, and education remains negatively aligned with sustainability goals. Based on these findings policies are proposed.

SustainabilityVol. 17(19)
Openalex Percentile: Top 6%
Energy, Environment, Economic Growth
3.13
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.