Addressing Health Inequities in Energy-Poor Households: Evidence from China’s Photovoltaic Poverty Alleviation Program

Energy poverty, defined as a households’ limited ability to secure affordable energy, has become a key issue in the energy transition debate due to its impact on well-being, health risks, and social inequality. We investigate its health impacts using two-way fixed effects and high-dimensional fixed effects models, two-stage least squares, and quantify additional medical costs during extreme cold events with grouped fitting regression. We assess the effect of China’s Photovoltaic Poverty Alleviation Program using the Difference-in-Differences-in-Differences technique. Our results show that energy poverty significantly worsens household health deprivation, extreme cold events further increase medical costs in southern regions, while northern energy-poor families reduce healthcare spending to cover heating costs, and the Photovoltaic Poverty Alleviation Program significantly reduces both the medical burden and catastrophic medical expenditure among energy-poor households. These findings underscore the need for energy transition policies that combine targeted subsidies, health support during cold seasons, and wider deployment of modern heating technologies to protect vulnerable families and ensure a fair, resilient energy transition.

Authors

Institutions

Publication Details

Journal
Energies
Published
2025-05-19
DOI
https://doi.org/10.3390/en18102620
Citations
3
Primary Topic
Energy and Environment Impacts
Type
article
Field-Weighted Citation Impact
1.51

Funders

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

Addressing Health Inequities in Energy-Poor Households: Evidence from China’s Photovoltaic Poverty Alleviation Program

Xinling Jiang, Ping Jiang, Xinyu Yang, Siqi Yu
3 citations
Energies
Energy and Environment Impacts
1.51
article

Addressing Health Inequities in Energy-Poor Households: Evidence from China’s Photovoltaic Poverty Alleviation Program

Xinling Jiang, Ping Jiang, Xinyu Yang, Siqi Yu
article en
3 citations

Abstract

Energy poverty, defined as a households’ limited ability to secure affordable energy, has become a key issue in the energy transition debate due to its impact on well-being, health risks, and social inequality. We investigate its health impacts using two-way fixed effects and high-dimensional fixed effects models, two-stage least squares, and quantify additional medical costs during extreme cold events with grouped fitting regression. We assess the effect of China’s Photovoltaic Poverty Alleviation Program using the Difference-in-Differences-in-Differences technique. Our results show that energy poverty significantly worsens household health deprivation, extreme cold events further increase medical costs in southern regions, while northern energy-poor families reduce healthcare spending to cover heating costs, and the Photovoltaic Poverty Alleviation Program significantly reduces both the medical burden and catastrophic medical expenditure among energy-poor households. These findings underscore the need for energy transition policies that combine targeted subsidies, health support during cold seasons, and wider deployment of modern heating technologies to protect vulnerable families and ensure a fair, resilient energy transition.

EnergiesVol. 18(10)
Fudan University (CN)
Fudan University, Science and Technology Commission of Shanghai Municipality, Chinesisch-Deutsche Zentrum für Wissenschaftsförderung
Openalex Percentile: Top 19%
Energy and Environment Impacts
1.51
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.