The Impact of Aging and Urbanization on CO2 Emission in Chinese Cities: An Empirical Analysis

Rapid aging and urbanization pose major challenges to global CO ₂ reduction efforts, particularly in China. As such, effective carbon reduction strategies must account for their combined impact on emissions. However, existing research pays insufficient attention to the combined impact of aging and urbanization on CO ₂ emissions and the underlying economic drivers. Furthermore, city-level analyses for forecasting emissions related to these demographic shifts remain scarce. To address these limitations, this study constructs a STIRPAT model using city-level data from China in 2010–2020 to estimate the combined effects of population aging and urbanization on CO ₂ emissions. Then, we explore the economic drivers underlying this relationship. Finally, we project city-level CO ₂ emissions driven by population aging and urbanization under different shared socioeconomic pathways (SSPs) in 2030–2060. Our findings suggest that: (a) The emission-increasing effect of aging outweighed the mitigating impact of urbanization, and together these opposing forces contributed to the overall rise in emissions. (b) Per capita disposable income and the size of the tertiary sector are key economic drivers of population aging, contributing to increased CO ₂ emissions. The tertiary sector also significantly influences urbanization, which in turn facilitates emission reductions. (c) The relative contribution of CO ₂ emissions from population aging and urbanization is similar under SSP1, SSP4, and SSP5. However, the absolute levels of CO ₂ emissions resulting from the combined effects of aging and urbanization exhibit significant variation across cities under all SSP1-SSP5 scenarios. Base on the results, we offer policy recommendations to support carbon mitigation efforts.