Source Jouranl of CSCD
Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Environmental Science
Core Journal of RCCSE
Included in the CAS Content Collection
Included in the JST China
Indexed in World Journal Clout Index (WJCI) Report
Volume 44 Issue 9
Sep.  2026
Turn off MathJax
Article Contents
CHEN Beibei, ZHANG Dinghai. Regional differences and dynamic evolution of urban carbon emissions in the Yellow River Basin[J]. ENVIRONMENTAL ENGINEERING , 2026, 44(9): 245-254. doi: 10.13205/j.hjgc.202609026
Citation: CHEN Beibei, ZHANG Dinghai. Regional differences and dynamic evolution of urban carbon emissions in the Yellow River Basin[J]. ENVIRONMENTAL ENGINEERING , 2026, 44(9): 245-254. doi: 10.13205/j.hjgc.202609026

Regional differences and dynamic evolution of urban carbon emissions in the Yellow River Basin

doi: 10.13205/j.hjgc.202609026
  • Received Date: 2025-07-17
    Available Online: 2026-11-05
  • To support the ecological protection, high-quality development, and the achievement of the Dual Carbon Goals in the Yellow River Basin, this study systematically investigated the spatiotemporal variations and regional disparityies of carbon emissions in the basin. Drawing on carbon emission data from 69 prefecture-level cities in the Yellow River Basin for the period 1997 to 2020, this study employed methods including the Theil index, kernel density estimation, standard deviational ellipse, and Moran's I index. The results indicated that the total carbon emissions in the Yellow River Basin exhibited an overall upward trend from 1997 to 2020, but the growth rate reduced significantly after 2011. Notable regional disparities existed but gradually narrowed: carbon emissions in the upper reaches grew the fastest, followed by those in the middle reaches, while those in the lower reaches remained relatively stable. In terms of spatial distribution, the center of carbon emissions shifted westward, and the distribution pattern transitioned from agglomeration to dispersion, with the spatial agglomeration effect weakening over time. Moran's I index revealed a significant positive spatial autocorrelation of carbon emissions, although this agglomeration effect also showed a weakening trend. Based on these findings, this study proposed formulating differentiated emission reduction policies for the upper, middle, and lower reaches of the basin and strengthening regional collaborative governance, thereby providing a scientific reference for promoting the green and low-carbon transformation of the Yellow River Basin.
  • loading
  • [1]
    LIU R Q,LIU X M,QI A A,et al. Mechanism and empirical test of carbon emission reduction effect of digital agriculture[J]. Chinese Journal of Eco-Agriculture,2025,33(10):2015-2028. 刘瑞祺,刘新民,祁安安,等. 数字农业碳减排效应的机理与实证检验[J]. 中国生态农业学报,2025,33(10):2015-2028.
    [2]
    LIU H T,HOU J Y,DENG M,et al. Characteristics and influencing factors of livestock residue nitrogen,phosphorus,and organic matter discharge and spatial distribution of pollution potential:case study in the Yellow River Delta[J]. Resources,Environment and Sustainability,2025,21:100225.
    [3]
    LIU X M,WU F,JIANG S Y,et al. Ecological restoration of abandoned mines in Guangxi under the Dual Carbon Goals:effectiveness evaluation and low-carbon path exploration[J]. Mineral Resources and Geology,2025,39(2):344-353. 刘小明,吴福,江思义,等.“双碳” 目标下广西废弃矿山生态修复:成效评估与低碳路径探索[J]. 矿产与地质,2025,39(2):344-353.
    [4]
    ZHANG Y H,CHEN D. Analysis of spatiotemporal characteristics and driving factors of agricultural greenhouse gas emissions in Zhejiang Province[J]. Chinese Journal of Environmental Engineering,2025,19(6):1483-1494. 张昱恒,陈丹. 浙江省农业温室气体排放时空特征及驱动因素分析[J]. 环境工程学报,2025,19(6):1483-1494.
    [5]
    WANG Y Z. Research on carbon emission governance[D]. Xiamen:Xiamen University,2022. 王耀州. 碳排放治理研究[D]. 厦门:厦门大学,2022.
    [6]
    WANG J,LIU Y. Study on the influence mechanism of digital economy on carbon emission in the Yellow River Basin[J]. Yellow River,2025,47(4):1-6. 王军,刘瑜. 数字经济对黄河流域碳排放的影响机制研究[J]. 人民黄河,2025,47(4):1-6.
    [7]
    LIU J H,GUO K,SHI T L. Research on the relationship between the development level of digital agriculture and agricultural carbon emissions in the Yellow River Basin[J]. Journal of Xi'an University of Technology,2025,41(2):151-163. 刘建华,郭珂,施天乐. 黄河流域数字农业发展水平与农业碳排放的关系研究[J]. 西安理工大学学报,2025,41(2):151-163.
    [8]
    HAN Y,HOU Z M. Analysis of carbon emission impact factors and peak scenario simulation for resource-based cities in China based on RF-RFECV feature selection and BO-CNN-BiLSTM-Attention[J]. Environmental Science,2026,47(3):1433-1448. 韩毅,侯震梅. 基于RF-RFECV特征选择的BO-CNN-BiLSTM-Attention中国资源型城市碳排放影响因素分析与达峰情景模拟[J]. 环境科学,2026,47(3):1433-1448.
    [9]
    LEI M,MA G X,YU F,et al. Study on the ecosystem service flow based on supply and demand relationship in the Yellow River Basin[J]. Acta Ecologica Sinica,2025,45(13):6468-6480. 雷鸣,马国霞,於方,等. 基于供需关系的黄河流域生态系统服务流研究[J]. 生态学报,2025,45(13):6468-6480.
    [10]
    SU X J,HOU S Y,ZHANG G X. Research on the synergistic effect of the"eco-economic" system of resource-oriented cities in the Yellow River Basin[J]. Ecological Economy,2025,41(11):95-103. 苏喜军,侯思言,张国兴. 黄河流域资源型城市“生态—经济” 系统协同效应研究[J]. 生态经济,2025,41(11):95-103.
    [11]
    WANG Z Y,HONG M,LIU X F. Spatial and temporal change pattern and trend prediction of land use in the middle reaches of the Yellow River[J]. Remote Sensing Technology and Application,2025,40(3):748-760. 王子懿,洪敏,刘晓峰. 黄河中游土地利用时空变化格局与趋势预测[J]. 遥感技术与应用,2025,40(3):748-760.
    [12]
    ZHANG J L,WU R W. The spatiotemporal pattern and influencing factors of CO2 emissions from energy consumption in the Yellow River Basin[J]. Environmental Engineering,2025,43(12):141-152. 张佳丽,武荣伟. 黄河流域能源消费二氧化碳排放时空格局及其影响因素[J]. 环境工程,2025,43(12):141-152.
    [13]
    HUANG R,XU L Y,HUANG Q. Assessment of carbon emission levels in Central and Eastern European countries and policy implications for China[J]. Journal of Nanjing Normal University(Engineering and Technology Edition),2026,26(1):61-73. 黄蕊,徐璐瑶,黄庆. 中东欧国家碳排放水平评估及对中国的政策启示[J]. 南京师范大学学报(工程技术版),2026,26(1):61-73.
    [14]
    ZHAN H J,CHEN D C,LANG Z,et al. Spatial effects analysis of decoupling between land use intensity and carbon emissions in Suzhou City[J]. Environmental Engineering,2025,43(11):222-230. 詹宏娟,陈德超,郎峥,等. 苏州市土地利用强度与碳排放量脱钩空间效应分析[J]. 环境工程,2025,43(11):222-230.
    [15]
    LIU Y,WANG Y,ZHU L. Analyzing carbon emissions in the Yangtze River Delta's construction industry:spatiotemporal characteristics and influencing factors[J]. China Environmental Science,2023,43(12):6677-6688. 刘颖,王远,朱琳. 长三角地区建筑业碳排放变化的时空特征及影响因素分析[J]. 中国环境科学,2023,43(12):6677-6688.
    [16]
    WANG Y J,SHI W Y. Dynamic evolution,difference decomposition,and influencing factors of urban carbon emission intensity in the Yellow River Basin[J]. Statistics and Decision,2025,41(1):98-103. 王一婕,史武莹. 黄河流域城市碳排放强度的动态演进、差异分解及影响因素[J]. 统计与决策,2025,41(1):98-103.
    [17]
    GUO W Q,YU Z P,LEI M,et al. Dynamic evolution and convergence analysis of China's carbon emission decoupling[J]. Areal Research and Development,2025,44(1):166-172. 郭文强,于忠萍,雷明,等. 我国省际碳排放脱钩的动态演变及收敛性分析[J]. 地域研究与开发,2025,44(1):166-172.
    [18]
    LI J,LIU Y X. Analysis of spatial and temporal evolution of carbon emission productivity in provincial transportation industry[J]. Environmental Science,2026,47(3):1498-1512. 李健,刘一璇. 省域交通运输业碳排放生产率时空演变分析[J]. 环境科学,2026,47(3):1498-1512.
    [19]
    XIN C C,LI Y J,ZHANG S. Dynamic evolution,difference decomposition,and spatial agglomeration pattern evolution of county-level carbon emission intensity in the Yangtze River Economic Belt[J]. Resources and Environment in the Yangtze Basin,2025,34(4):705-720. 辛冲冲,李玉姣,张帅. 长江经济带县域碳排放强度的动态演进、差异分解及空间集聚模式演变[J]. 长江流域资源与环境,2025,34(4):705-720.
    [20]
    ZHANG W P,SHI P J,CHENG F Y. Spatial and temporal dynamic evolution of carbon emission intensity of county energy consumption in Gansu Province and its emission reduction effectiveness[J]. Environmental Science,2025,46(9):5490-5502. 张韦萍,石培基,程番苑. 甘肃省县域能源消费碳排放强度时空动态演变及其减排成效[J]. 环境科学,2025,46(9):5490-5502.
    [21]
    CHENG G B,SUN X Y,LIU C X. Dynamic evolution,regional differences and spatial convergence characteristics of new quality productivity[J]. Statistics and Decision,2025,41(9):5-11. 程广斌,孙雪英,刘晨曦. 新质生产力的动态演变、区域差异及空间收敛特征[J]. 统计与决策,2025,41(9):5-11.
    [22]
    XU H,LI T,SONG J F. Estimation,driving factors,and regional differences of agricultural irrigation water rebound effect in arid areas:examples of five provinces in northwestern China[J]. Resources Science,2021,43(9):1808-1820. 许航,李韬,宋健峰. 旱区农业灌溉用水反弹效应:以西北五省(区)为例[J]. 资源科学,2021,43(9):1808-1820.
    [23]
    CUI Q,ZHOU Z X,GUAN D J,et al. Research progress on accounting,modeling and influencing factors of transportation carbon emissions[J]. Environmental Engineering,2025,43(1):31-41. 崔倩,周志祥,官冬杰,等. 交通碳排放核算、模拟及影响因素研究[J]. 环境工程,2025,43(1):31-41.
    [24]
    ZOU Y,LI J J,WANG S P. Peak prediction and emission-reduction potential analysis for industrial carbon emissions in Western China[J]. Environmental Engineering,2025,43(5):199-206. 邹艳,李佳佳,王淑平. 西部地区工业碳排放达峰预测与减排潜力分析[J]. 环境工程,2025,43(5):199-206.
    [25]
    HAN Z L,TONG Y B,WANG G. Spatial-temporal differentiation and evolution trend of marine ecological security in China[J]. Scientia Geographica Sinica,2022,42(7):1166-1175. 韩增林,仝燕波,王耕. 中国海洋生态安全时空分异及演化趋势研究[J]. 地理科学,2022,42(7):1166-1175.
    [26]
    ZHU H G,CHEN H. Measurement,spatial-temporal evolution and promotion path of digital village development in China[J]. Issues in Agricultural Economy,2023(3):21-33. 朱红根,陈晖. 中国数字乡村发展的水平测度、时空演变及推进路径[J]. 农业经济问题,2023(3):21-33.
  • 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

    Article Metrics

    Article views (6) PDF downloads(0) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return