Volume 13 Issue 6
Nov.  2023
Turn off MathJax
Article Contents
LI Y Y,DU W X.Spatial and temporal characteristics and the heterogeneity of influencing factors of the synergism of pollution and carbon emissions reduction in Beijing-Tianjin-Hebei urban agglomeration[J].Journal of Environmental Engineering Technology,2023,13(6):2006-2015 doi: 10.12153/j.issn.1674-991X.20230269
Citation: LI Y Y,DU W X.Spatial and temporal characteristics and the heterogeneity of influencing factors of the synergism of pollution and carbon emissions reduction in Beijing-Tianjin-Hebei urban agglomeration[J].Journal of Environmental Engineering Technology,2023,13(6):2006-2015 doi: 10.12153/j.issn.1674-991X.20230269

Spatial and temporal characteristics and the heterogeneity of influencing factors of the synergism of pollution and carbon emissions reduction in Beijing-Tianjin-Hebei urban agglomeration

doi: 10.12153/j.issn.1674-991X.20230269
  • Received Date: 2023-04-04
  • Accepted Date: 2023-06-29
  • Rev Recd Date: 2023-06-15
  • Available Online: 2023-08-03
  • Based on the data of Beijing-Tianjin-Hebei urban agglomeration from 2003 to 2020, the coupling coordination degree, spatial Durbin and spatial-temporal geographical weighted regression models were used to explore the spatial and temporal characteristics of the synergistic effect of pollution reduction and carbon reduction in the urban agglomeration and the heterogeneity of its influencing factors. The study showed that carbon emissions grew rapidly from the 10th to the 11th Five-year Plan periods, and then slowed down after the 12th Five-year Plan period. The emission of atmospheric pollutants reached its peak during the 12th Five-year Plan period, and the emission reduction effect during the 13th Five-year Plan period was significant. During the study period, the level of pollution and carbon reduction coupling and coordination showed three phases of fluctuating increase, namely, slow increase, hovering exploration and steady increase; the energy consumption intensity and total energy consumption were the core factors directly affecting the level of pollution and carbon reduction coupling and coordination in the cities. The urbanization rate, real GDP per capita, industrial structure, the amount of foreign investment utilized and the proportion of science and technology expenditure were the core factors affecting the level of pollution and carbon reduction coupling and coordination by affecting energy consumption, and all factors showed spatial and temporal heterogeneity. Finally, optimized countermeasures were proposed in terms of promoting collaborative control of regional pollution reduction and carbon reduction, strengthening differentiated collaborative emission reduction strategies for key cities and key industries, promoting energy restructuring, and focusing on green technology innovation and green financial support.

     

  • loading
  • [1]
    李慧, 王淑兰, 张文杰, 等.京津冀及周边地区 “2+26” 城市空气质量特征及其影响因素[J]. 环境科学研究,2021,34(1):172-184.

    LI H, WANG S L, ZHANG W J, et al. Characteristics and influencing factors of urban air quality in Beijing-Tianjin-Hebei and its surrounding areas ("2+26"cities)[J]. Research of Environmental Sciences,2021,34(1):172-184.
    [2]
    李建呈, 王洛忠.区域大气污染联防联控的政策效果评估: 基于京津冀及周边地区 “2+26” 城市的准自然实验[J]. 中国行政管理,2023(1):75-83.

    LI J C, WANG L Z. Quantitative assessment of the effects of joint prevention and control of regional air pollution: a quasi-natural experiment based on "2+26" cities[J]. Chinese Public Administration,2023(1):75-83.
    [3]
    李云燕, 盛清, 代建.基于DMSP-OLS与NPP-VIIRS整合数据的京津冀城市群碳排放时空演变特征[J]. 环境工程技术学报,2023,13(2):447-454.

    LI Y Y, SHENG Q, DAI J. Spatio-temporal evolution characteristics of carbon emissions in Beijing-Tianjin-Hebei urban agglomeration derived from integrated data of DMSP-OLS and NPP-VIIRS[J]. Journal of Environmental Engineering Technology,2023,13(2):447-454.
    [4]
    韩楠, 罗新宇.多情景视角下京津冀碳排放达峰预测与减排潜力[J]. 自然资源学报,2022,37(5):1277-1288. doi: 10.31497/zrzyxb.20220512

    HAN N, LUO X Y. Carbon emission peak prediction and reduction potential in Beijing-Tianjin-Hebei region from the perspective of multiple scenarios[J]. Journal of Natural Resources,2022,37(5):1277-1288. doi: 10.31497/zrzyxb.20220512
    [5]
    俞珊, 张双, 张增杰, 等.北京市 “十四五” 时期大气污染物与温室气体协同控制效果评估研究[J]. 环境科学学报,2022,42(6):499-508.

    YU S, ZHANG S, ZHANG Z J, et al. Assessment of co-control effects for air pollutants and greenhouse gases in Beijing during the 14th Five-Year Plan period[J]. Acta Scientiae Circumstantiae,2022,42(6):499-508.
    [6]
    刘茂辉, 岳亚云, 刘胜楠, 等.基于STIRPAT模型天津减污降碳协同效应多维度分析[J]. 环境科学,2023,44(3):1277-1286. doi: 10.13227/j.hjkx.202204086

    LIU M H, YUE Y Y, LIU S N, et al. Multi-dimensional analysis of the synergistic effect of pollution reduction and carbon reduction in Tianjin based on the STIRPAT model[J]. Environmental Science,2023,44(3):1277-1286. doi: 10.13227/j.hjkx.202204086
    [7]
    杨添棋, 王洪昌, 张辰, 等.京津冀及周边地区 “2+26” 城市结构性调整政策的CO2协同减排效益评估[J]. 环境科学,2022,43(11):5315-5325.

    YANG T Q, WANG H C, ZHANG C, et al. Carbon dioxide mitigation co-effect analysis of structural adjustment measures in the "2+26" cities in the Jing-Jin-ji region and its surroundings[J]. Environmental Science,2022,43(11):5315-5325.
    [8]
    吴华成, 周卫青, 李朋, 等.京津冀与关中地区“以电代煤”大气环境与碳减排效益评估[J]. 全球能源互联网,2022(2):166-172. doi: 10.19705/j.cnki.issn2096-5125.2022.02.008

    WU H C, ZHOU W Q, LI P, et al. Atmospheric environment and carbon emission reduction benefit evaluation of "coal-to-electricity" project in Beijing-Tianjin-Hebei and Guanzhong region[J]. Journal of Global Energy Interconnection,2022(2):166-172. doi: 10.19705/j.cnki.issn2096-5125.2022.02.008
    [9]
    LIN C Q, LOUIE P K K, LAU A K H, et al. Net effect of air pollution controls on health risk in the Beijing-Tianjin-Hebei region during the 2022 winter Olympics and Paralympics[J]. Journal of Environmental Sciences,2024,135:560-569. doi: 10.1016/j.jes.2022.10.008
    [10]
    王文燕, 冯翰林, 郭二民.减污降碳协同治理纳入生态环境管理体系探讨[J]. 环境工程技术学报,2022,12(6):1882-1889.

    WANG W Y, FENG H L, GUO E M. Discussion on the integration of pollution reduction and carbon reduction collaborative governance into the ecological environment management system[J]. Journal of Environmental Engineering Technology,2022,12(6):1882-1889.
    [11]
    戴静怡, 曹媛, 陈操操.城市减污降碳协同增效内涵、潜力与路径[J]. 中国环境管理,2023,15(2):30-37.

    DAI J Y, CAO Y, CHEN C C. Synergistic connotations, potential and paths of urban pollution and carbon emissions reduction[J]. Chinese Journal of Environmental Management,2023,15(2):30-37.
    [12]
    毛显强, 曾桉, 邢有凯, 等.从理念到行动: 温室气体与局地污染物减排的协同效益与协同控制研究综述[J]. 气候变化研究进展,2021,17(3):255-267.

    MAO X Q, ZENG A, XING Y K, et al. From concept to action: a review of research on co-benefits and co-control of greenhouse gases and local air pollutants reductions[J]. Climate Change Research,2021,17(3):255-267.
    [13]
    高庆先, 高文欧, 马占云, 等.大气污染物与温室气体减排协同效应评估方法及应用[J]. 气候变化研究进展,2021,17(3):268-278.

    GAO Q X, GAO W O, MA Z Y, et al. The synergy effect assessment method and its application for air pollutants and greenhouse gases reduction[J]. Climate Change Research,2021,17(3):268-278.
    [14]
    易文杰,李庄,罗竹燕等.水泥行业环境影响评价低碳技术选择与应用[J]. 环境工程技术学报,2022,12(6):1905-1914. doi: 10.12153/j.issn.1674-991X.20220590

    YI W J,LI Z,LUO Z Y,et al. Selection and application of low carbon technologies in environmental impact assessment of cement industry[J]. Journal of Environmental Engineering Technology,2022,12(6):1905-1914. doi: 10.12153/j.issn.1674-991X.20220590
    [15]
    朱思瑜, 于冰.“排污权”和“碳排放权”交易的减污降碳协同效应研究: 基于污染治理和政策管理的双重视角[J]. 中国环境管理,2023,15(1):102-109.

    ZHU S Y, YU B. Research on the co-benefits of pollution reduction and carbon reduction of "emissions trading" and "carbon emissions trading": based on the dual perspectives of pollution control and policy management[J]. Chinese Journal of Environmental Management,2023,15(1):102-109.
    [16]
    田嘉莉, 付书科, 刘萧玮.财政支出政策能实现减污降碳协同效应吗[J]. 财政科学,2022(2):100-115. doi: 10.3969/j.issn.2096-1391.2022.02.008

    TIAN J L, FU S K, LIU X W. Can fiscal expenditure policy achieve synergistic effects of pollution reduction and carbon reduction[J]. Fiscal Science,2022(2):100-115. doi: 10.3969/j.issn.2096-1391.2022.02.008
    [17]
    张为师, 徐颖, 惠婧璇.中国城市CO2排放和空气质量协同变化特征及驱动因素研究[J]. 中国环境管理,2023,15(2):38-47.

    ZHANG W S, XU Y, HUI J X. The spatio-temporal impacts and driving factors of the synergistic effects of reducing pollution and carbon emissions in cities of China[J]. Chinese Journal of Environmental Management,2023,15(2):38-47.
    [18]
    陈晓红, 张嘉敏, 唐湘博.中国工业减污降碳协同效应及其影响机制[J]. 资源科学,2022,44(12):2387-2398.

    CHEN X H, ZHANG J M, TANG X B. Synergistic effect of industrial air pollution and carbon emission reduction in China and influencing mechanism[J]. Resources Science,2022,44(12):2387-2398.
    [19]
    唐湘博, 张野, 曹利珍, 等.中国减污降碳协同效应的时空特征及其影响机制分析[J]. 环境科学研究,2022,35(10):2252-2263.

    TANG X B, ZHANG Y, CAO L Z, et al. Spatio-temporal characteristics and influencing mechanism of synergistic effect of pollution and carbon emission reduction in China[J]. Research of Environmental Sciences,2022,35(10):2252-2263.
    [20]
    狄乾斌, 陈小龙, 侯智文.“双碳” 目标下中国三大城市群减污降碳协同治理区域差异及关键路径识别[J]. 资源科学,2022,44(6):1155-1167.

    DI Q B, CHEN X L, HOU Z W. Regional differences and key pathway identification of the coordinated governance of pollution control and carbon emission reduction in the three major urban agglomerations of China under the "double-carbon" targets[J]. Resources Science,2022,44(6):1155-1167.
    [21]
    张瑜, 孙倩, 薛进军, 等.减污降碳的协同效应分析及其路径探究[J]. 中国人口·资源与环境,2022,32(5):1-13.

    ZHANG Y, SUN Q, XUE J J, et al. Synergistic effects of pollution control and carbon reduction and their pathways[J]. China Population, Resources and Environment,2022,32(5):1-13.
    [22]
    王淑佳, 孔伟, 任亮, 等.国内耦合协调度模型的误区及修正[J]. 自然资源学报,2021,36(3):793-810. doi: 10.31497/zrzyxb.20210319

    WANG S J, KONG W, REN L, Et al. Research on misuses and modification of coupling coordination degree model in China[J]. Journal of Natural Resources,2021,36(3):793-810. doi: 10.31497/zrzyxb.20210319
    [23]
    吴建新, 郭智勇.基于连续性动态分布方法的中国碳排放收敛分析[J]. 统计研究,2016,33(1):54-60. doi: 10.19343/j.cnki.11-1302/c.2016.01.008

    WU J X, GUO Z Y. Research on the convergence of carbon dioxide emissions in China: a continuous dynamic distribution approach[J]. Statistical Research,2016,33(1):54-60. ⊕ doi: 10.19343/j.cnki.11-1302/c.2016.01.008
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(4)  / Tables(4)

    Article Metrics

    Article Views(500) PDF Downloads(99) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return