京津冀地区PM_(2.5)与CO_(2)的协同控制效应及调控因素研究

Study on Synergistic Control Effect and Regulatory Factors of PM_(2.5)and CO_(2)in Beijing-Tianjin-Hebei Region

京津冀地区面临着二氧化碳(CO_(2))减排和细颗粒物(PM_(2.5))浓度降低的双重挑战,研究该地区CO_(2)与PM_(2.5)的协同控制效应及调控因素演变特征,对其经济高质量发展与环境改善具有重要意义。文章基于2005-2020年人口栅格数据、夜间灯光数据以及统计年鉴数据,利用协同控制效应坐标系法和时空地理加权回归模型评估了京津冀地区CO_(2)排放量和PM_(2.5)浓度的协同控制效应及调控因素作用机制的时空异质性。结果表明:(1)京津冀地区实现CO_(2)和PM_(2.5)协同控制效应的区域呈现上升-下降-上升的变化趋势,在2019年达到最高,最高占比68.15%。(2)第三产业发达、清洁能源丰富或产业布局合理的城市更易实现CO_(2)排放量与PM_(2.5)浓度的共控。(3)产业结构、研发支出、对外开放程度和降雨量为京津冀地区协同控制CO_(2)排放量和PM_(2.5)浓度的主要因素,但这些调控因素的作用存在时空异质性。

Beijing-Tianjin-Hebei Region faces the dual challenges of reducing CO_(2)emissions and controlling the PM_(2.5)concentration.The study of the synergistic control effect of CO_(2)and PM_(2.5)and the evolutionary characteristics of the regulatory factors in this region is of great significance for its high-quality economic development and environmental improvement.Based on population raster data,nighttime light data and statistical yearbook data from 2005 to 2020,the coordinate system of co-control effects and the geographically and temporally weighted regression model are used to explore the spatio-temporal heterogeneity of the synergistic control effect and the mechanism of regulatory factors in the region.The results show that the areas in the region with the synergistic control effect of CO_(2)emissions and PM_(2.5)concentration shows an upward-downward-upward trend,which reaches the highest in 2019,accounting for the highest proportion of 68.15%.Cities with developed tertiary industries,abundant clean energy or reasonable industrial layout are more likely to realize the synergistic control effect of CO_(2)emissions and PM_(2.5)concentration.Overall,industrial structure,R&D expenditures,level of external openness and amount of precipitation are the main factors that synergistically control CO_(2)emissions and PM_(2.5)concentration in the region.However,the effects of these regulatory factors were spatiotemporal and heterogeneous.