浙江省都市区碳排放时空演变及其影响因素

都市区建设促进城镇协同发展,对碳排放产生了影响,因此研究都市区建设与碳排放的关系,有助于探索减排的有效途径。基于浙江省各县市区2010—2018年间土地利用、能源消费等数据,测算碳排放量;利用空间自相关方法和空间计量回归模型,探讨四大都市区碳排放的时空演变特征及其影响因素。结果表明：（1）杭州都市区是浙江省最大的碳排放都市区,其次是宁波、温州和金义都市区。（2）碳排放在空间上具有明显的集聚特征。不同都市区碳排放的时空演变特征具有显著的差异性。（3）都市区建设有助于各城镇的协同作用,促进资源的高效配置和利用,进而降低碳排放。（4）都市区碳排放的影响因素和驱动机制受到都市区发展阶段和特色影响,形成不同的空间特征。（5）都市区低碳建设任务和方案是由其独特的碳排放驱动机制和时空演变特征决定的。

Spatio-temporal evolution of carbon emissions in metropolitan areas and its influencing factors: A case study of Zhejiang province

Urban construction promotes urban collaborative development, which has an impact on carbon emissions, so studying the relationship between urban construction and carbon emissions can help explore an effective way to reduce emissions. This article, based on land utilization, energy consumption and other data from 2010 to 2018, Zhejiang province, calculates carbon emissions. We use spatial autocorrelation methods and space metering regression models to explore the spatio-temporal evolution characteristics of carbon emissions in four metropolitan areas and their influencing factors. The results showed that: (1) Hangzhou metropolitan area is the largest carbon emission urban area in Zhejiang, followed by Ningbo, Wenzhou and Jinhua-Yiwu. (2) In terms of spatial distribution, carbon emissions have significant agglomeration characteristics. Obvious spatial heterogeneity can be observed in metropolitan areas. The spatial aggregation of carbon emissions in different metropolitan areas have significant differences. (3) Urban construction helps the synergy and utilization of various cities and towns, promotes efficient configuration and utilization of resources, and then reduces carbon emissions. (4) The influencing factors and driving mechanisms for metropolitan carbon emissions are affected by urban development phases and characteristics, thus forming different spatial features. (5) Metropolitan low-carbon construction tasks and programs are determined by their unique carbon emissions driving mechanisms and spatial aggregation characteristics.