Analysis of the spatial network characteristics and driving forces of net carbon sequestration in the Yangtze River Economic Belt
  • Article
  • | |
  • Metrics
  • |
  • Reference [43]
  • | | | |
  • Comments
    Abstract:

    [Objective] Identifying the spatial correlation network characteristics of net carbon sinks in the Yangtze River Economic Belt under the background of carbon peaking and carbon neutrality plays an important role in promoting the synergy of carbon emission reduction in the Yangtze River Economic Belt and realizing regional coordinated development. [Method] The modified gravity model was used to construct the spatial correlation network of net carbon sinks in the Yangtze River Economic Belt at the municipal scale, and the characteristics of the spatial correlation network were identified by using the social network analysis method, and the driving factors of the spatial correlation network of net carbon sinks were identified by the QAP model. [Results] (1) The net carbon sink in the Yangtze River Economic Belt has significant spatial correlation characteristics, and generally presents an intertwined network pattern of "dense in the east and sparse in the west", and forms a network pattern with "Chongqing" and "Shanghai" as the dual cores(2) The correlation of the net carbon sink spatial network in the Yangtze River Economic Belt is mainly affected by the differences in economic development level, industrial structure upgrading, energy consumption intensity and different land use structures, while the impact of urbanization level and grain yield difference is not significant. [Conclusion] To achieve the coordinated development of the Yangtze River Economic Belt and regional coordinated emission reduction, it is necessary to fully consider the spatial correlation of net carbon sinks of each city, as well as the status and role of each city in the spatial correlation network, so as to fully realize the complementary advantages of each city and maximize the benefits of emission reduction. At the same time, cities need to actively promote the upgrading of industrial structure,increase the research and development and innovation of emission reduction technologies, improve energy efficiency, and optimize land use structure to achieve carbon reduction and increase sinks.

    Reference
    [1] 张晓梅,庄贵阳.中国省际区域碳减排差异问题的研究进展[J].中国人口·资源与环境,2015,25(02):135-143.
    [2] 郝吉明,王金南,张守攻,等.长江经济带生态文明建设若干战略问题研究[J].中国工程科学,2022,24(01):141-147.
    [3] 黄国华,刘传江,徐正华.长江经济带碳减排潜力与低碳发展策略[J].长江流域资源与环境,2018,27(04):695-704.
    [4] 侯瑞萍,夏朝宗,陈健等.长江经济带林地和其他生物质碳储量及碳汇量研究[J].生态学报,2022,42(23):9483-9498.
    [5] 时朋飞,王梦君,陶春艳等.长江经济带旅游业碳排放影响因素与峰值预测[J].统计与决策,2023,39(12):90-95.
    [6] 闫华飞,杨美,肖静.长江经济带发展战略促进了区域碳减排吗?——基于双重差分模型的检验[J].长江流域资源与环境,2023,32(06):1138-1151.
    [7] 黄庆华,时培豪,胡江峰.产业集聚与经济高质量发展:长江经济带107个地级市例证[J].改革,2020(01):87-99.
    [8] 赵凡,罗良文.长江经济带产业集聚对城市碳排放的影响:异质性与作用机制[J].改革,2022(01):68-84.
    [9] 田容至,曹高航,项松林等.长江经济带区域创新创业能力对碳排放的影响及空间效应研究[J].长江流域资源与环境,2023,32(07):1365-1378.
    [10] 李强.正式与非正式环境规制的减排效应研究——以长江经济带为例[J].现代经济探讨,2018(05):92-99.
    [11] 黄德春,沈雪梅,竺运.长江经济带制造业碳排放效率的时空演变及影响因素研究[J].长江流域资源与环境,2023,32(06):1113-1126.
    [12] 黄汉志,贾俊松,刘淑婷等.2000—2020年长江经济带碳汇时空演变及影响因素分析[J/OL].环境科学研究:1-15[2023-07-27].
    [13] 黎振强,周秋阳.产业结构升级是否有助于促进碳减排——基于长江经济带地区的实证研究[J].生态经济,2021,37(08):34-40+111.
    [14] 方林,李灿锋,李浩杰等.长江经济带土地利用碳排放时空效应及驱动力[J].草业科学,2022,39(12):2539-2553.
    [15] 苑韶峰,唐奕钰.低碳视角下长江经济带土地利用碳排放的空间分异[J].经济地理,2019,39(02):190-198.
    [16] 孙冰洁,王润,刘甜等.长江经济带碳排放空间差异性及公平性分析[J].江苏农业科学,2017,45(06):235-239.
    [17] 义白璐,韩骥,周翔,等.区域碳源碳汇的时空格局——以长三角地区为例[J].应用生态学报,2015,26(04):973-980.
    [18] 李艳春,王成己,叶菁,等.福建省农田生态系统碳源/汇时空变化及其影响因素分析[J].福建农业学报,2014,29(11):1098-1103.
    [19] 谢永浩,刘争.中国省域种植业碳汇量、碳排放量的时空分异及公平性研究[J].世界农业,2022.
    [20] 田云,张俊飚,吴贤荣,等.中国种植业碳汇盈余动态变化及地区差异分析——基于31个省(市、区)2000—2012年的面板数据[J].自然资源学报,2015,30(11):1885-1895.
    [21] 杨国清,朱文锐,文雅,等.20年来广东省土地利用碳排放强度与效率空间分异研究[J].生态环境学报,2019,28(02):332-340.
    [22] 苑韶峰,唐奕钰.低碳视角下长江经济带土地利用碳排放的空间分异[J].经济地理,2019,39(02):190-198.
    [23] 赵宁,周蕾,庄杰,等.中国陆地生态系统碳源/汇整合分析[J].生态学报,2021,41(19):7648-7658.
    [24] 张梅,赖力,黄贤金,等.中国区域土地利用类型转变的碳排放强度研究[J].资源科学,2013,35(04):792-799.
    [25] 何勇.中国气候、陆地生态系统碳循环研究M].北京:气象出版社,2006
    [26] 田云,张俊飚.中国农业生产净碳效应分异研究[J].自然资源学报,2013,28(08):1298-1309.)
    [27] 郭劲光,万家瑞.我国能源消费的网络关联特征及其优化路径——碳达峰与碳中和视角的思考[J].江海学刊,2021,(04):85-91.
    [28] 郑云,黄杰.中国农业生态效率空间关联网络特征及其驱动因素研究[J].经济经纬,2021,38(06):32-41.
    [29] Huang H, Jia J, Chen D, et al. Evolution of spatial network structure for land-use carbon emissions and carbon balance zoning in Jiangxi Province: A social network analysis perspective[J]. Ecological Indicators, 2024, 158: 111508.
    [30] Yu Z, Chen L, Tong H, et al. Spatial correlations of land-use carbon emissions in the Yangtze River Delta region: A perspective from social network analysis[J]. Ecological Indicators, 2022, 142: 109147.
    [31] Huo T, Cao R, Xia N, et al. Spatial correlation network structure of China''s building carbon emissions and its driving factors: a social network analysis method[J]. Journal of Environmental Management, 2022, 320: 115808.
    [32] Zhang R J, Tai H W, Cheng K T, et al. Carbon emission efficiency network formation mechanism and spatial correlation complexity analysis: Taking the Yangtze River Economic Belt as an example[J]. Science of the Total Environment, 2022, 841: 156719.
    [33] 王奕淇,甄雯青.中国省际碳排放绩效空间关联效应及影响因素研究[J/OL].生态学报,2024,(16):1-15[2024-07-23].
    [34] 郭文强,史瑞雪,雷明,等.中国省际碳排放空间关联网络结构特征及碳平衡分区[J/OL].生态学报,2024,(18):1-18[2024-07-23].
    [35] 权天舒,张晖,许玉韫.长三角城市群碳排放效率的空间关联网络及其影响因素[J/OL].南京林业大学学报(自然科学版),1-13[2024-07-23].
    [36] 冯颖,侯孟阳,姚顺波.中国粮食生产空间关联网络的结构特征及其形成机制[J].地理学报,2020,75(11):2380-2395
    [37] Rong T, Zhang P, Li G, et al. Spatial correlation evolution and prediction scenario of land use carbon emissions in the Yellow River Basin[J]. Ecological Indicators, 2023, 154: 110701.
    [38] 尹剑,龙垚垚,姜洪涛.珠江流域城市工业碳排放效率的空间关联网络特征与影响因素[J/OL].环境科学:1-15[2024-07-11].
    [39] 胡景心,沙青娥,刘慧琳,等.珠江三角洲二氧化碳源汇演变特征及驱动因素[J].环境科学,2023,44(12):6643-6652.
    [40] 彭宸,贾俊松,余清项,等.中国农业碳排放的时空演化及影响因素分析[J].环境科学研究,2024,37(06):1181-1192.
    [41] 王少剑,黄永源.中国城市碳排放强度的空间溢出效应及驱动因素[J].地理学报,2019,74(06):1131-1148.
    [42] 吉雪强,刘慧敏,张跃松.中国省际土地利用碳排放空间关联网络结构演化及驱动因素[J].经济地理,2023,43(02):190-200.
    [43] 郭爱君,张传兵.数字经济如何影响碳排放强度?——基于产业结构高级化与合理化的双重视角[J/OL].科学学与科学技术管理,1-28[2024-07-20].
    Related
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation
Share
Article Metrics
  • Abstract:23
  • PDF: 0
  • HTML: 0
  • Cited by: 0
History
  • Received:July 23,2024
  • Revised:August 30,2024
  • Adopted:August 31,2024