【目的】研究经济-城镇化-碳排放间耦合协调规律，为促进重庆市新型城镇化发展和经济结构调整提供参考。【方法】以重庆市38个区县为单元，建立经济-城镇化-碳排放子系统评价指标体系，构建两两间耦合协调模型，分析2015、2017和2019年子系统耦合协调空间分异及演变特征。【结果】1） 耦合协调空间分布受区县综合发展水平影响大，高水平耦合协调区县中，大都市区区县占比约为60%，渝东南区县占比仅16%左右；2） 耦合协调变化具有趋同对应特征，大都市区为双高水平耦合协调，双高区县占比约为93%，渝东北、渝东南为双低水平耦合协调，渝东北区县占比约52%、渝东南区县占比约33%；3） 耦合协调度变化差异明显。空间上，耦合协调度呈“点+线”结构，以中心城区、渝东北万州、渝东南黔江为中心辐射点，形成东高西低梯度线；时间上，耦合度为反“L”型上升曲线，协调度为“M”型波浪曲线。【结论】因重庆市区县经济、城镇化发展水平差异，碳减排政策须因地制宜，在产业协同、城乡统筹、开源节流方面实施差异化策略。
［Purposes］ In order to promote the development of new urbanization and the adjustment of economic structure in Chongqing, to reveal the coupling coordination law between economy, urbanization and carbon emissions. ［Methods］ Taking 38 districts and counties in Chongqing as a unit, the evaluation index system of economy-urbanization-carbon emission subsystem was established, and the coupling coordination model was constructed to analyze the spatial variation and evolution characteristics of subsystem coupling coordination in 2015, 2017 and 2019. ［Findings］ The results showed that: 1) The spatial distribution of coupling coordination was greatly affected by the comprehensive development level of districts and counties. Among the counties with high level coupling coordination, 60% were in metropolitan areas, and only 16% were in southeast Chongqing. 2) The coupling coordination changes have convergent correspondence characteristics. In the metropolitan area, double high level coupling coordination is 93%, while in northeast and southeast Chongqing, double low level coupling coordination is 52% and 33%, respectively. 3) There are significant differences in coupling coordination degree. Spatially, the coupling coordination degree presents a “point + line” structure, with the urban functional core area, Wanzhou in northeast Chongqing and Qianjiang in southeast Chongqing as the central radiating points, forming a gradient line with high east and low west. In time, the coupling degree is an “inverse L-shaped” rising curve, and the coordination degree is an “M-shaped” wave curve. ［Conclusions］ Due to the differences in economic and urbanization development levels between regions and counties, carbon emission reduction policies should be tailored to local conditions, and different policies should be implemented in the aspects of industrial coordination, urban and rural overall planning, and increasing income and reducing expenditure.