Temporal trend and driving effect of demographic transitions on embedded carbon emissions of Chinese households.

Autor: Wang S; Key Laboratory of Groundwater Resources and Environment (China Ministry of Education), School of New Energy and Environment, Jilin University, 130021, Changchun, People's Republic of China. shuowang@jlu.edu.cn.; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, 130021, Changchun, People's Republic of China. shuowang@jlu.edu.cn., Zhao W; Key Laboratory of Groundwater Resources and Environment (China Ministry of Education), School of New Energy and Environment, Jilin University, 130021, Changchun, People's Republic of China.; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, 130021, Changchun, People's Republic of China., Wang X; Key Laboratory of Groundwater Resources and Environment (China Ministry of Education), School of New Energy and Environment, Jilin University, 130021, Changchun, People's Republic of China.; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, 130021, Changchun, People's Republic of China., Zheng G; Hebei University of Environmental Engineering, 066102, Qinhuangdao, People's Republic of China.
Jazyk: angličtina
Zdroj: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Jul; Vol. 31 (33), pp. 45507-45521. Date of Electronic Publication: 2024 Jul 05.
DOI: 10.1007/s11356-024-34041-y
Abstrakt: A population is regarded as the main non-economic driver of carbon emissions, causing the climatic crisis, especially in China experiencing a dramatic demographic transition. In contrast to aging, low fertility, the most remarkable feature of the Chinese population transition, has always been ignored when evaluating carbon emissions, due to the lack of long-run data. To narrow this gap, an integrated framework combining the continuous input-output tables from 1997 to 2018 with the Mann-Kendall test and vector auto-regression was presented to clarify the fluctuating trend of household embedded carbon emissions and the driving pattern of low fertility, aging, and urbanization. Our main findings showed that changes in household embedded carbon emissions have increased sharply in the last two decades. The growth of Chinese household embedded carbon emissions began to accelerate in 2001, which lagged 1 year behind the demographic indicators. Low fertility has a positive impact on households' embedded carbon emissions. More importantly, the impact of low fertility is more significant and far-reaching than that of aging. These suggest that aggressive policies for stimulating fertility and low-carbon lifestyles should be considered by policy makers.
(© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Databáze: MEDLINE
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