Urban agglomerations concentrate activities that generate both PM2.5 pollution and carbon emissions, but the economic basis for governing them jointly remains unclear. Taking the Yangtze River Delta as a case, this study evaluates pollution–carbon co-governance from a marginal abatement cost (MAC) perspective. Using panel data for 41 cities from 2011 to 2023, we estimate shadow prices and MACs under joint and single-objective abatement scenarios with a non-radial directional distance function dual model. We then construct carbon-reduction and pollution-reduction cost-saving effects, classify synergy types, and examine their temporal, spatial, and nonlinear transition patterns. The results show that joint abatement generally lowers the MACs of both carbon mitigation and PM2.5 reduction, with stronger cost-saving on the pollution side. Under the baseline classification, the share of balanced synergy increases over time, and the balanced state shows high persistence in Markov transitions. Core cities show weaker measured cost-saving effects, which may reflect limited remaining low-cost co-abatement potential rather than weak governance. Semiparametric evidence further indicates that industrial upgrading, openness, and urbanization are nonlinearly associated with MACs and synergy balance. These findings suggest that urban pollution–carbon coordination should be guided by local cost structures and development stages.
Pollution control and carbon mitigation often involve the same energy inputs and production processes, yet the role of finance in shaping their combined urban outcomes remains insufficiently understood. Using panel data for 110 Chinese cities in the Yangtze River Economic Belt (YREB) from 2010 to 2023, this study exami...
Zu-Jun Yao, Hou-Tian Tang, Ke Liu· Frontiers in Environmental S...· 0 citations
Urban CO2 marginal abatement costs (MACs) provide important information for designing sustainable low-carbon transition strategies, but their interpretation may be affected by reference technology choices and identification uncertainty. Using 5004 city-year observations from 278 Chinese prefecture-level cities over 200...
Qing-Rui Xiao, D. Ren, Han Zheng et al.· Sustainability· 0 citations
This study investigates the relationships among renewable energy, natural resources, economic growth, foreign investment, and carbon emissions in the G7 countries to better understand the drivers of low-carbon transition in advanced economies. Using annual data from 1990 to 2019, the study re-examines the environment...
S. Nordin, M. Aziz, Siti Fatimah Ismail et al.· Oxford Open Energy· 0 citations
The digital economy has become an important force driving regional transformation and green development, yet existing evidence on its net carbon-balance effects on land-use carbon emission efficiency (LUCEE) remains limited. Using panel data for 41 cities in the Yangtze River Delta from 2002 to 2022, this study first c...
Jia-Yi Sun, Zi-Ming Gao, Xu-Fang Mu et al.· Land· 0 citations
Achieving sustainable transport requires not only reducing aggregate emissions but also avoiding the concentration of emission burdens and transition costs in less-developed regions. Transport carbon-emission inequality therefore captures a distributional dimension of environmental and social sustainability. Using city...
Lin Yuan, Ziying Yang, Cangba Danzeng et al.· Sustainability· 0 citations
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