Global energy inequality across energy types, expenditure groups, and consumption items

Understanding the relationship between household expenditure and energy use from a consumption and supply chain perspective is crucial to capturing direct household energy use and indirect energy use linked to various consumption items—often overlooked by studies focusing solely on direct energy—and to revealing the underlying patterns of global energy inequality across households. This study assesses the energy footprints across 201 household expenditure groups, seven final-use energy types, and 65 consumption items in each of 116 countries using a global energy- and expenditure-extended multi-regional input-output model for 2017. The Gini index for global energy footprints is 0.59, indicating a high level of energy inequality: the top 1% of households in 116 countries account for 14% of energy footprints, while the bottom 50% consumed only 13%. Substantial energy inequality is revealed both between and within countries. Less developed countries and regions generally exhibit greater inequality in per capita energy footprints between households compared to developed countries and regions. Energy intensity declines with higher expenditure, remaining higher in poorer regions and households. In richer regions, energy intensity is more evenly distributed across expenditure groups and overall lower than in developing regions. Accurately measuring global household energy footprints can help understand current energy inequality and guide future poverty and inequality reduction to promote a more just and equitable global society. Broader context: Understanding how household energy use varies across income levels—and addressing energy inequality—is central to achieving just and equitable development. Yet, most existing studies focus on national averages or direct household energy use, overlooking the energy embodied in consumed goods and services. This study addresses that gap by combining a global multi-regional input-output framework with energy consumption data and detailed household expenditure data for 201 income groups in each of 116 countries. Results reveal that indirect energy use dominates household energy footprints and contributes more to inequality than direct use in most countries. The top 1% of households account for 14% of global energy use, while the bottom 50% consume only 13%. Energy intensity declines with rising income but remains high in poorer regions. Differences in energy intensity across consumption items and countries underscore the need for targeted efficiency standards, improved infrastructure, and broader technology adoption. These findings highlight the importance of addressing consumption patterns and supply chains to support a more equitable energy future.

Authors

Institutions

Publication Details

Journal
Nexus
Published
2025-08-08
DOI
https://doi.org/10.1016/j.ynexs.2025.100086
Citations
2
Primary Topic
Energy and Environment Impacts
Type
article
Field-Weighted Citation Impact
1.01

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Global energy inequality across energy types, expenditure groups, and consumption items

Yuru Guan, Yu Liu, Jarmo Kikstra, Yuli Shan et al.
2 citations
Nexus
Energy and Environment Impacts
1.01
article

Global energy inequality across energy types, expenditure groups, and consumption items

Yuru Guan, Yu Liu, Jarmo Kikstra, Yuli Shan, Klaus Hubacek, Yang Wang, Ruoqi Li
article en
2 citations

Abstract

Understanding the relationship between household expenditure and energy use from a consumption and supply chain perspective is crucial to capturing direct household energy use and indirect energy use linked to various consumption items—often overlooked by studies focusing solely on direct energy—and to revealing the underlying patterns of global energy inequality across households. This study assesses the energy footprints across 201 household expenditure groups, seven final-use energy types, and 65 consumption items in each of 116 countries using a global energy- and expenditure-extended multi-regional input-output model for 2017. The Gini index for global energy footprints is 0.59, indicating a high level of energy inequality: the top 1% of households in 116 countries account for 14% of energy footprints, while the bottom 50% consumed only 13%. Substantial energy inequality is revealed both between and within countries. Less developed countries and regions generally exhibit greater inequality in per capita energy footprints between households compared to developed countries and regions. Energy intensity declines with higher expenditure, remaining higher in poorer regions and households. In richer regions, energy intensity is more evenly distributed across expenditure groups and overall lower than in developing regions. Accurately measuring global household energy footprints can help understand current energy inequality and guide future poverty and inequality reduction to promote a more just and equitable global society. Broader context: Understanding how household energy use varies across income levels—and addressing energy inequality—is central to achieving just and equitable development. Yet, most existing studies focus on national averages or direct household energy use, overlooking the energy embodied in consumed goods and services. This study addresses that gap by combining a global multi-regional input-output framework with energy consumption data and detailed household expenditure data for 201 income groups in each of 116 countries. Results reveal that indirect energy use dominates household energy footprints and contributes more to inequality than direct use in most countries. The top 1% of households account for 14% of global energy use, while the bottom 50% consume only 13%. Energy intensity declines with rising income but remains high in poorer regions. Differences in energy intensity across consumption items and countries underscore the need for targeted efficiency standards, improved infrastructure, and broader technology adoption. These findings highlight the importance of addressing consumption patterns and supply chains to support a more equitable energy future.

NexusVol. 2(3)
International Institute for Applied Systems Analysis (AT), University of Groningen (NL), Peking University (CN), State Key Laboratory of Pollution Control and Resource Reuse (CN), Institute for Sustainability (GB), Imperial College London (GB), University of Birmingham (GB), Nanjing University (CN)
China Scholarship Council
Affordable and clean energy
Openalex Percentile: Top 24%
Energy and Environment Impacts
1.01
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.