Guo Hongwei, Jiang Jia, Li Yuanyuan, Long Xinxin, Han Ji
Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200041, China.
Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200041, China; Institute of Eco-Chongming, 3663 N. Zhongshan Rd., Shanghai, 200062, China.
J Environ Manage. 2023 Feb 1;327:116906. doi: 10.1016/j.jenvman.2022.116906. Epub 2022 Nov 30.
Revealing the complex correlation between population aging and CO, and projecting their future dynamics are fundamentally necessary to inform effective policies toward a low-carbon and sustainable development in China. Differing from the existing studies, this study highlighted a quantitative investigation on the impact of aging on CO emissions across the different stages of regional development in China through a STIRPAT model based on balanced provincial panel data from 1995 to 2019, and projected the demographic change and CO emissions till 2050 by employing cohort model and scenario analysis. It is found that CO emissions in China has witnessed a significant growth during 1995-2019, and will exhibit an inverted U-shaped growth till 2050 with its peak appears between 2030 and 2040. Statistically, every 1% growth of aging population will cause a 0.62% increase in CO emissions in China. However, a big regional difference was also detected as aging contributed to CO reduction in the eastern region, but stimulated CO emissions in the central and western regions. Policy implications for achieving a low-carbon and aging-oriented sustainable development may include the integration of aging into the decision-making in industrial structure upgrading and CO emission reduction at both national and region levels, the promotion of further transition to low-carbon consumption and green products in the eastern region, and strengthening the deep fusion of aging-oriented industries with local resource and environmental endowment in the central and western regions such as the development of eco-agriculture and green pension industries.
揭示人口老龄化与碳排放之间的复杂关联,并预测其未来动态,对于制定中国低碳可持续发展的有效政策至关重要。与现有研究不同,本研究通过基于1995年至2019年省级平衡面板数据的STIRPAT模型,对老龄化在中国区域发展不同阶段对碳排放的影响进行了定量研究,并运用队列模型和情景分析预测了到2050年的人口变化和碳排放。研究发现,1995年至2019年期间中国碳排放显著增长,到2050年将呈倒U形增长,峰值出现在2030年至2040年之间。从统计数据来看,中国老年人口每增长1%,碳排放将增加0.62%。然而,研究还发现了较大的区域差异,老龄化在东部地区有助于减少碳排放,但在中部和西部地区则刺激了碳排放。实现低碳和老龄化导向的可持续发展的政策建议可能包括:在国家和地区层面将老龄化纳入产业结构升级和碳排放减少的决策中;在东部地区促进向低碳消费和绿色产品的进一步转型;在中西部地区加强老龄化导向产业与当地资源和环境禀赋的深度融合,如发展生态农业和绿色养老产业。