ArticleInternational journal of environmental research and public health2022
Energy Poverty and Depression in Rural China: Evidence from the Quantile Regression Approach.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 19 citations in OpenAlex.
- General practitioners' perspectives on household energy insecurity across healthcare settings in Henan Province, China.Frontiers in public health · 2026Article
- Energy Burden and Chronic Kidney Disease: A National Study in the United States.Environment & health (Washington, D.C.) · 2025Article
- The impact of energy poverty on the health capital of middle-aged and older adult residents in rural China.Frontiers in public health · 2025Article
- Association between household air pollution due to unclean fuel use and depression among older adults in India: A cross-sectional study.Indian journal of psychiatry · 2024Article
- Linking Housing Conditions and Energy Poverty: From a Perspective of Household Energy Self-Restriction.International journal of environmental research and public health · 2022Article
- How Does Clean Energy Consumption Affect Women's Health: New Insights from China.International journal of environmental research and public health · 2022Article
- Multidimensional energy poverty and depression among China's older adults.Frontiers in public health · 2022Article
- Household clean energy consumption and health: Theoretical and empirical analysis.Frontiers in public health · 2022Article
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Authors and funding
3 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Despite the growing awareness and interest in the impact of energy poverty on depression, studies in developing economies are relative limited, and there is a gap of knowledge of such impact among rural individuals in China. In this study, we investigate the impact of energy poverty on depression among rural Chinese individuals aged 16 and above, and our sample includes 13,784 individuals from 6103 households. With data from the 2018 China Family Panel Studies, we apply the instrumental variable (IV) quantile regression approach to address the potential endogeneity of energy poverty and allow for heterogeneous effects of energy poverty on depression across individuals with different levels of depression. Our estimates from the IV quantile regression suggest a strong positive impact of energy poverty on depression at the upper quantile of depression scores, but no impact at the middle and lower quantiles. The primary results are robust and consistent with alternative energy poverty measures, and we find that energy poverty does not affect depression of low-risk individuals (with low depression scores), but it does affect that of high-risk individuals. We also find individual socio-demographic factors of age, gender, household size, religious belief, education, marriage and employment status play roles in affecting depression. The findings of this study generate policy implications for energy poverty alleviation and mental health promotion.
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