Wang Hui, Gu Kuiying, Sun Hui, Xiao Hanyue
Center for Innovation and Management of Xinjiang, Xinjiang University, Urumqi, 830000, China; School of Economic and Management, Xinjiang University, Urumqi 83000, China; Geography Postdoctoral Station, Xinjiang University, Urumqi, 830000, China.
Vanke School of Public Health, Tsinghua University, Beijing 100062, China; Center for Innovation and Management of Xinjiang, Xinjiang University, Urumqi, 830000, China.
Sci Total Environ. 2023 Feb 1;858(Pt 3):159906. doi: 10.1016/j.scitotenv.2022.159906. Epub 2022 Nov 4.
Many studies have confirmed the co-emission characteristics of air pollution and carbon emissions. However, studies on the evolution and synergistic factors of the symbiosis of air pollution and carbon emissions over long time scales from a spatial spillover perspective are rare. Here, we identify the spatial evolution and agglomeration characteristics of carbon emissions and air pollution symbiosis by applying local autocorrelation analysis and geographical concentration and by using the dynamic spatial autoregressive model for multiple synergistic factors at city levels during 2006-2019 in China. The results are: (1) The spatial agglomeration and symbiosis of carbon emission and air pollution are similar and show strong spatial locking, as well as path-dependent properties. (2) The spatial imbalance of carbon emission agglomeration and pollution agglomeration gradually improved over time; the concentration centers are all located in Henan province, shifting northward. (3) The symbiosis between both carbon emission agglomeration and pollution agglomeration has significant "spatial and temporal scale effects", and the economic growth is nonlinear. Additionally, innovation vitality has a negative synergistic driving effect on this relationship. In addition to the results above, rapid industrialization and urbanization are taking place in China. Hence, serious actions against greenhouse gases and air pollutants are imminently needed.
许多研究已经证实了空气污染与碳排放的共同排放特征。然而,从空间溢出角度对空气污染与碳排放共生的长期演化及协同因素进行的研究却很少。在此,我们运用局部自相关分析和地理集中度,并使用动态空间自回归模型,针对中国2006 - 2019年城市层面的多个协同因素,识别碳排放与空气污染共生的空间演化及集聚特征。结果如下:(1)碳排放与空气污染的空间集聚和共生相似,呈现出强烈的空间锁定以及路径依赖特性。(2)碳排放集聚与污染集聚的空间失衡随时间逐渐改善;集聚中心均位于河南省,并向北移动。(3)碳排放集聚与污染集聚之间的共生具有显著的“时空尺度效应”,且经济增长是非线性的。此外,创新活力对这种关系具有负向协同驱动效应。除上述结果外,中国正在快速推进工业化和城市化。因此,迫切需要针对温室气体和空气污染物采取严厉行动。