College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China; Zhejiang Ecological Civilization Academy, Anji, 313300, China.
Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, 315211, China.
Environ Res. 2023 Jul 15;229:115775. doi: 10.1016/j.envres.2023.115775. Epub 2023 Apr 6.
Grasping current circumstances and influencing components of the synergistic degree regarding reducing pollution and carbon has been recognized as a crucial part of China in response to the protection of the environment and climate mitigation. With the introduction of remote sensing night-time light, CO emissions at multi-scale have been estimated in this study. Accordingly, an upward trend of "CO-PM" synergistic reduction was discovered, which was indicated by an increase of 78.18% regarding the index constructed of 358 cities in China from 2014 to 2020. Additionally, it has been confirmed that the reduction in pollution and carbon emissions could coordinate with economic growth indirectly. Lastly, it has identified the spatial discrepancy of influencing factors and the results have emphasized the rebound effect of technological progress and industrial upgrades, whilst the development of clean energy can offset the increase in energy consumption thus contributing to the synergy of pollution and carbon reduction. Moreover, it has been highlighted that environmental background, industrial structure, and socio-economic characteristics of different cities should be considered comprehensively in order to better achieve the goals of "Beautiful China" and "Carbon Neutrality".
把握减污降碳协同度的现状及影响因素，已被认作是中国应对环境保护和气候缓解的关键部分。本研究利用遥感夜间灯光数据，在多尺度上估算了 CO 排放。因此，发现了“CO-PM”协同减排的上升趋势，从 2014 年到 2020 年，中国 358 个城市构建的指标显示协同减排指数增长了 78.18%。此外，还证实了污染和碳排放的减少可以通过间接方式与经济增长相协调。最后，确定了影响因素的空间差异，结果强调了技术进步和产业升级的回弹效应，而清洁能源的发展可以抵消能源消耗的增加，从而有助于污染和碳减排的协同。此外，还强调了不同城市的环境背景、产业结构和社会经济特征应综合考虑，以更好地实现“美丽中国”和“碳中和”的目标。
