The impact of multidimensional energy poverty on the cognitive abilities of middle-aged and older adults: evidence from China

Energy poverty is a global challenge with significant consequences for individual well-being. Using data from the China Family Panel Studies, this paper investigates the impact of energy poverty on the cognitive abilities of middle-aged and older adults, exploring its mediating and moderating mechanisms. The study reveals four main findings. First, after controlling for a comprehensive set of individual, household, and social-level factors, energy poverty is found to have a significant negative impact on the cognitive abilities of middle-aged and older adults. Second, this negative impact remains robust after addressing potential endogeneity using an instrumental variable approach and conducting a series of robustness checks. Third, the primary pathways through which energy poverty affects cognition are twofold: it undermines physical health, which in turn impairs cognitive function, and it damages psychological health, which also leads to cognitive decline. Fourth, the study finds that regular physical exercise can moderate the adverse effects of energy poverty on cognitive abilities. This research provides a valuable reference for developing policies aimed at alleviating energy poverty and improving the cognitive health of aging populations.

Authors

Institutions

Publication Details

Journal
Aging Neuropsychology and Cognition
Published
2025-08-28
DOI
https://doi.org/10.1080/13825585.2025.2549738
Primary Topic
Energy and Environment Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The impact of multidimensional energy poverty on the cognitive abilities of middle-aged and older adults: evidence from China

Hui Yin, Huawei He, Yuhang He, Yiwen Luo
Aging Neuropsychology and Cognition
Energy and Environment Impacts
article

The impact of multidimensional energy poverty on the cognitive abilities of middle-aged and older adults: evidence from China

Hui Yin, Huawei He, Yuhang He, Yiwen Luo
article en

Abstract

Energy poverty is a global challenge with significant consequences for individual well-being. Using data from the China Family Panel Studies, this paper investigates the impact of energy poverty on the cognitive abilities of middle-aged and older adults, exploring its mediating and moderating mechanisms. The study reveals four main findings. First, after controlling for a comprehensive set of individual, household, and social-level factors, energy poverty is found to have a significant negative impact on the cognitive abilities of middle-aged and older adults. Second, this negative impact remains robust after addressing potential endogeneity using an instrumental variable approach and conducting a series of robustness checks. Third, the primary pathways through which energy poverty affects cognition are twofold: it undermines physical health, which in turn impairs cognitive function, and it damages psychological health, which also leads to cognitive decline. Fourth, the study finds that regular physical exercise can moderate the adverse effects of energy poverty on cognitive abilities. This research provides a valuable reference for developing policies aimed at alleviating energy poverty and improving the cognitive health of aging populations.

Aging Neuropsychology and CognitionVol. 32(6)
Central University of Finance and Economics (CN), Ningbo University of Technology (CN), Zhejiang University (CN)
No poverty
Openalex Percentile: Top 83%
Energy and Environment Impacts
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.