Population aging reduces carbon emissions: Evidence from China's latest three censuses

Yang Zhou, Heng Wang and Huanguang Qiu

Applied Energy, 2023, vol. 351, issue C, No S0306261923011637

Abstract: Population aging inevitably exerts impacts on socio-economic and environmental systems. However, the relationship between aging and environmental change remains controversial. Using population censuses containing economic and carbon emissions data from 2774 counties in China (2000,2010,2020), we employed the STIRPAT, panel threshold regression, and mediating effect models to investigate the relationship between population aging and carbon emissions. Results showed that the aging of China's population has had a statistically significant impact on carbon emissions, showing an inverted U-shaped nonlinear relationship in which carbon emissions first increase and decrease with aging, with the aging rate of 3.2% as the inflection point. Since 2000, the aging rate of most counties in China has exceeded this inflection point.

Keywords: Population aging; Carbon emissions; Age structure; Nonlinear relationship; China (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261923011637
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:351:y:2023:i:c:s0306261923011637

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2023.121799

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().