Promoting synergistic efficiency in pollution and carbon reduction is a crucial pathway to achieving the deep integration and harmonious alignment of the “Beautiful China” initiative with the “dual carbon” goals. From the perspective of marginal abatement costs, this study empirically examines the synergistic potential of pollution and carbon reduction of 275 Chinese cities from 2011 to 2022 leveraging duality theory within the DEA framework. Furthermore, it explores the evolution patterns, regional disparities, and driving mechanisms of these synergistic effects using the spatial Markov chain, Dagum Gini coefficient, and QAP methods. The findings are as follows: Synergistic governance of pollution and carbon reduction can simultaneously reduce the marginal abatement costs of air pollution and CO2 in China. The synergistic effects are widespread across regions and cities, although challenges such as “pollution reduction impediments” and “carbon mitigation delays” persist. The synergistic effects of pollution and carbon reduction exhibit a relatively stable development trend, with phenomena such as “hierarchical lock-in” and spatial club convergence. Significant spatial disparities are observed, forming a “convex” interregional pattern characterized by “core leadership and peripheral catch-up”. Hyper-variable density and interregional disparities are the principal contributors to the persistent imbalance. Reducing regional disparities in carbon mitigation effects is the fundamental to promoting coordinated regional development in pollution and carbon reduction. The positive impacts of external factors, such as industrial structure, openness, population density, and economic development, on co-benefit disparities gradually diminish. Moreover, the intensity and direction of these driving factors vary across regions, reflecting pronounced regional heterogeneity.
CHEN Xiao-lan
,
MENG Qing-gang
,
YU Long-guang
. Quantitative evaluation and driving mechanism of synergistic effects in urban pollution and carbon reduction: An analysis from the perspective of marginal abatement costs[J]. Urban Problems, 2025
, 359(6)
: 63
-75
.
DOI: 10.13239/j.bjsshkxy.cswt.250606
[1] 仲崇阳,张雨朦,马新啸.智能制造对中国城市低碳发展的赋能效应——基于工业机器人应用视角[J].资源科学,2024(4):728-743
[2] Jiang X T. Rapid decarbonization in the Chinese electric power sector and air pollution reduction Co-benefits in the Post-COP26 Era[J]. Resources Policy, 2023, 82: 103482
[3] 杨添棋,王洪昌,张辰,等.京津冀及周边地区“2+26”城市结构性调整政策的CO2协同减排效益评估[J].环境科学,2022 (11):5315-5325
[4] Jiang H D, Purohit P, Liang Q M, et al. Improving the regional deployment of carbon mitigation efforts by incorporating air-quality co-benefits: A multi-provincial analysis of China[J]. Ecological Economics, 2023, 204: 107675
[5] Zhang W W, Zhao B, Jiang Y Q, et al. Co-benefits of regionally-differentiated carbon pricing policies across China[J]. Climate Policy, 2024(1): 57-70
[6] Xing J, Lu X, Wang S X, et al. The quest for improved air quality may push China to continue its CO2 reduction beyond the Paris Commitment[J]. Proceedings of the National Academy of Sciences of the United States of America, 2020(47): 29535-29542
[7] 毛显强,邢有凯,高玉冰,等.温室气体与大气污染物协同控制效应评估与规划[J].中国环境科学,2021(7):3390-3398
[8] Liu X H, Chong Y, Di D Y, et al. Digital financial development, synergistic reduction of pollution, and carbon emissions: Evidence from biased technical change[J]. Environmental Science and Pollution Research, 2023, 30: 109671-109690
[9] 刘娜,高新伟.“蓝天保卫战”如何影响减污降碳协同度？[J].中国人口·资源与环境,2024(7):66-75
[10] Chen X L, Meng Q G, Wang K K, et al. Spatial patterns and evolution trend of coupling coordination of pollution reduction and carbon reduction along the Yellow River Basin, China[J]. Ecological Indicators, 2023, 154: 110797
[11] 杨晓军,薛洪畅.创新驱动政策是否促进城市减污降碳协同增效?——来自国家创新型城市试点政策的经验证据[J].产业经济研究,2024(3):1-14
[12] 杨晓军,薛洪畅.中国城市减污降碳协同效应的时空演变格局及影响因素[J/OL].环境科学:1-18[2025-06-01].https://doi.org/10.13227/j.hjkx.202412234
[13] 狄乾斌,陈小龙,侯智文.“双碳”目标下中国三大城市群减污降碳协同治理区域差异及关键路径识别[J].资源科学,2022(6):1155-1167
[14] 朱帮助,刘晓红.中国城市群减污降碳协同驱动因素研究[J].广西大学学报(哲学社会科学版),2025(1):100-109
[15] 胡剑波,陈行.绿色财政会增强绿色金融的减排效果吗?——基于减污降碳视角[J].财经论丛,2023(10):25-35
[16] Zeng Q H, He L Y. Study on the synergistic effect of air pollution prevention and carbon emission reduction in the context of “dual carbon”: Evidence from China’s transport sector[J]. Energy Policy, 2023, 173: 113370
[17] 孙乐,朱金鹤.企业环保投资对提升城市空气质量的效应研究——兼论企业环保投资的“双赢”效果[J].城市问题,2024(1):92-103
[18] 钟顺昌,焦怡萌,闫程莉,等.建设用地资源空间集聚对减污降碳协同的影响机制[J].地理学报,2024(3):688-711
[19] 王军,王杰.城市数字化转型与“减污降碳”协同增效[J].城市问题,2024(2):46-56
[20] 孙振清,杨锐.中国新型基础设施建设的减污降碳协同效应——基于创新要素错配视角[J].自然资源学报,2025(7):1839-1856
[21] 曹增栋,涂勤,夏文浩.数据要素市场化驱动城市减污降碳的双边效应研究[J].城市问题,2025(4):57-67
[22] Xian B T, Wang Y N, Xu Y L, et al. Assessment of the co-benefits of Chin’s carbon trading policy on carbon emissions reduction and air pollution control in multiple sectors[J]. Economic Analysis and Policy, 2024, 81: 1322-1335
[23] 张雪纯,曹霞,宋林壕.碳排放交易制度的减污降碳效应研究——基于合成控制法的实证分析[J].自然资源学报,2024(3):712-730
[24] 王芝炜,孙慧,张贤峰,等.用能权交易制度能否实现减污降碳的双重环境福利？[J].产业经济研究,2023(4):15-26,39
[25] 邢华,李向阳.减污降碳:低碳城市试点的协同效应[J].干旱区资源与环境,2024(5):10-19
[26] 宋德勇,陈梁,王班班.环境权益交易如何实现减污降碳协同增效:理论与经验证据[J].数量经济技术经济研究,2024(2):171-192
[27] 邵汉华,王亚宁.环境信息公开的减污降碳效应[J].资源科学,2024(1):38-52
[28] 张德钢,唐瑜梳.粮食主产区政策对农业减污降碳协同的影响[J].资源科学,2025(6):1358-1373
[29] 张超,胡宗光.绿色金融如何实现城市减污降碳协同推进——基于绿色金融改革创新试验区的经验证据[J].商业研究,2025(2):51-62
[30] 马子红,王红梅,韩先锋.数字贸易发展的减污降碳效应——基于跨境电商综合试验区的准自然试验[J].统计与决策,2024(11):156-161
[31] 刘华军,郭立祥,乔列成.减污降碳协同效应的量化评估研究——基于边际减排成本视角[J].统计研究,2023(4):19-33
[32] 崔连标,李晓,段宏波.长三角地区减污降碳协同效应评估[J].中国人口·资源与环境,2024(6):21-32
[33] 闫坤,唐丹彤,甘天琦.中国农业减污降碳协同效应的量化评估与动态演化——基于边际减排成本的分析[J].中国农村经济,2024(9):22-41
[34] Färe R, Grosskopf S, Pasurka Jr C A. Environmental production functions and environmental directional distance functions[J]. Energy, 2007(7): 1055-1066
[35] 陈诗一.工业二氧化碳的影子价格:参数化和非参数化方法[J].世界经济,2010(8):93-111
[36] 张树山,陈凯旋,宋洋.中国城市数字产业虚拟集聚水平区域差异及收敛性分析[J].城市问题,2024(10):47-58
[37] 单豪杰.中国资本存量K的再估算:1952～2006年[J].数量经济技术经济研究,2008(10):17-31
[38] 李宾.我国资本存量估算的比较分析[J].数量经济技术经济研究,2011(12):21-36,54
[39] 史丹,李少林.排污权交易制度与能源利用效率——对地级及以上城市的测度与实证[J].中国工业经济,2020(9):5-23
[40] 孟庆港,陈晓兰,丁宁.资源型城市碳排放差异的多维测度及驱动因素研究[J].城市问题,2024(6):25-34,103
