Widening inequality: Diverging trends in CO2 and air pollutant emissions across Chinese cities

Chinese cities face escalating tensions between pollution mitigation and economic equity. Using an environmentally extended multi-regional input–output (EE-MRIO) model, we quantified the carbon and air pollutant footprints of 309 cities from 2012 to 2017 and applied structural decomposition analysis (SDA) to identify key emission drivers. The results indicate that inequality in air pollutant emissions, with a Gini coefficient of 0.31–0.53, is significantly higher than that of CO 2 (0.33–0.41). Developed cities generate 3.1 times more economic output per unit of CO 2 emissions than less developed cities, with the disparity widening over time. While intermediate input optimization contributed to a 1.94 Gt reduction in CO 2 emissions, its benefits were largely concentrated in developed regions and were accompanied by increased emissions of PM 2.5 , BC, OC, and CO. Although reductions in emission intensity played a crucial role in mitigating pollutants, they paradoxically contributed to CO 2 growth in energy-intensive cities. Additionally, population growth and per capita final demand were the primary drivers of emission increases, and population growth had a greater impact on developed regions. These findings underscore the need for regionally differentiated policies, including carbon quota reallocation, industrial transformation in energy-dependent cities, and the promotion of green industries in less developed areas, to achieve a balance between environmental sustainability and economic development. • Developed cities dominate consumption-based CO 2 and air pollutant emissions. • CO 2 and air pollutant inequality is growing, with air pollutants being more unequal. • Developed cities gain more and faster-growing economic benefits from supply chains. • Intermediate input optimization sharply cut CO 2 yet increased air pollutants. • The change in emission intensity cut air pollutants but spurred CO 2 growth in energy cities.