Household clean energy consumption and health: Theoretical and empirical analysis.

Fanghua Li, Wei Liang, Abbas Ali Chandio, Dungang Zang, Yinying Duan
Author Information
  1. Fanghua Li: College of Economics, Sichuan Agricultural University, Chengdu, China.
  2. Wei Liang: School of Business and Tourism, Sichuan Agricultural University, Chengdu, China.
  3. Abbas Ali Chandio: College of Economics, Sichuan Agricultural University, Chengdu, China.
  4. Dungang Zang: College of Economics, Sichuan Agricultural University, Chengdu, China.
  5. Yinying Duan: School of Business and Tourism, Sichuan Agricultural University, Chengdu, China.

Abstract

The impact of energy consumption on health has become a widely debated topic around the world. However, much of the current research on this topic lacks a theoretical basis. As a result, this paper employs both theoretical and empirical analysis to investigate the impact of household clean energy consumption on residents' health. First, based on the theories of health economics and energy economics, this paper believes that the usage of clean energy can improve the health of residents. Then, the sample for this study is comprised of data from the 2018 China Health and Retirement Longitudinal Study, and the Order Probit Model is applied for the empirical analysis. The outcomes of basic regression, robustness testing, and the treatment of endogenous factors reveal that the usage of clean energy has greatly benefited the health of residents. Furthermore, the heterogeneity analysis shows that long-term use of clean energy greatly improved the health of non-religious people and had a more pronounced impact on the health of women and low-income residents. In addition, the mechanistic analysis indicates that subjective happiness and air quality played a partial mediating role in the impact of cleaner energy consumption on health. Finally, cleaner household energy reduced the prevalence of hypertension, hyperlipidemia, lung disease, asthma, and depression. The conclusion of this paper supports the view of some existing literature, and several policy recommendations are made based on the research findings.

Keywords

References

  1. Environ Sci Pollut Res Int. 2019 Oct;26(29):29606-29619 [PMID: 31452125]
  2. Soc Sci Med. 2020 Feb;246:112780 [PMID: 31923835]
  3. Front Public Health. 2022 Feb 15;10:838733 [PMID: 35242735]
  4. Int J Environ Res Public Health. 2022 Jan 17;19(2): [PMID: 35055829]
  5. Int J Equity Health. 2022 May 23;21(1):75 [PMID: 35606805]
  6. Environ Sci Pollut Res Int. 2018 Feb;25(4):3669-3680 [PMID: 29164467]
  7. Front Public Health. 2021 Dec 23;9:779552 [PMID: 35004584]
  8. Int J Epidemiol. 2012 Dec;41(6):1639-49 [PMID: 23283715]
  9. Environ Sci Pollut Res Int. 2020 Jul;27(19):23849-23861 [PMID: 32301082]
  10. J Urban Health. 2021 Jun;98(3):362-374 [PMID: 33893624]
  11. J Relig Health. 2020 Jun;59(3):1287-1303 [PMID: 30945050]
  12. Int J Environ Res Public Health. 2022 Feb 14;19(4): [PMID: 35206328]
  13. Int J Environ Res Public Health. 2021 Oct 13;18(20): [PMID: 34682479]
  14. Health Econ. 1995 Jan-Feb;4(1):15-29 [PMID: 7780525]
  15. Front Public Health. 2021 Apr 22;9:650861 [PMID: 33987164]
  16. J Health Polit Policy Law. 2001 Oct;26(5):851-83 [PMID: 11765268]
  17. Clin Infect Dis. 2018 Mar 5;66(6):815-817 [PMID: 29309551]
  18. Environ Sci Pollut Res Int. 2022 Mar;29(14):20906-20920 [PMID: 34743283]
  19. Int J Environ Res Public Health. 2022 Mar 01;19(5): [PMID: 35270560]
  20. Int J Environ Res Public Health. 2020 May 12;17(10): [PMID: 32408654]
  21. Int J Health Econ Manag. 2016 Mar;16(1):51-64 [PMID: 27878708]
  22. Soc Sci Med. 2015 Apr;130:51-8 [PMID: 25681714]
  23. Environ Int. 2019 Dec;133(Pt A):105164 [PMID: 31518939]
  24. J Rural Health. 2022 Mar;38(2):442-456 [PMID: 33956360]
  25. Environ Int. 2021 Nov;156:106722 [PMID: 34182193]
  26. Health Place. 2021 Jan;67:102294 [PMID: 33526205]
  27. Int J Soc Psychiatry. 2022 Mar 03;:207640221083205 [PMID: 35240881]
  28. Soc Sci Med. 2006 Jun;62(12):3161-76 [PMID: 16426715]
  29. Int J Epidemiol. 2014 Feb;43(1):61-8 [PMID: 23243115]
  30. Nature. 2014 Apr 17;508(7496):309-11 [PMID: 24754042]

MeSH Term

Air Pollution
China
Employment
Family Characteristics
Female
Humans
Longitudinal Studies

Word Cloud

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