Spatial Network Characteristics and Driving Forces of Net Carbon Sequestration in Yangtze River Economic Belt

Tan Deming; Ouyang Fanglan; Zhang Caiping

doi:10.13961/j.cnki.stbctb.2024.05.034

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Spatial Network Characteristics and Driving Forces of Net Carbon Sequestration in Yangtze River Economic Belt

- Spatial Network Characteristics and Driving Forces of Net Carbon Sequestration in Yangtze River Economic Belt
- Bulletin of Soiland Water Conservation Vol. 43, Issue 5, Pages: 315-326(2024)
- 作者机构：
  
  南华大学经济管理与法学学院,湖南,衡阳,421001
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2024.05.034
  CLC： X321;F301.2
- Published：2024
- 稿件说明：
移动端阅览
Tan Deming, Ouyang Fanglan, Zhang Caiping. Spatial Network Characteristics and Driving Forces of Net Carbon Sequestration in Yangtze River Economic Belt[J]. Bulletin of Soiland Water Conservation, 2024, 43(5): 315-326.
DOI：

Tan Deming, Ouyang Fanglan, Zhang Caiping. Spatial Network Characteristics and Driving Forces of Net Carbon Sequestration in Yangtze River Economic Belt[J]. Bulletin of Soiland Water Conservation, 2024, 43(5): 315-326. DOI： 10.13961/j.cnki.stbctb.2024.05.034.

摘要

[目的] 探究长江经济带净碳汇空间关联网络特征及其驱动因素，为推进长江经济带碳减排协同，促进双碳目标落实和实现区域协调发展提供科学参考。[方法] 采取修正引力模型构建市域尺度下的长江经济带净碳汇空间关联网络，采用社会网络分析方法识别空间关联网络特征和驱动因素。[结果] ①2001—2021年，长江经济带碳排放总量持续攀升，呈现“东高西低”分布特征；碳汇总量波动上升，呈现“西高东低”特征；净碳汇持续下降，呈现“西高东低”特征。②长江经济带净碳汇总体呈现“东密西疏”的相互交织网络形态，形成“重庆市”和“上海市”为双核的网络格局。区域整体网络高度集中，存在上海、重庆等关键节点城市，网络结构稳定性较差。③依据各城市在网络中地位差异可划为净溢出、双向溢出、经纪人和净受益4个板块，其中跨板块溢出关系较板块内部关联更显著。④经济发展水平、产业结构高级化、能源消费强度以及不同土地利用结构等是长江经济带净碳汇空间关联网络的关键驱动因素。[结论] 未来需整体上考虑各城市净碳汇的空间网络关联，以充分实现各城市间优势互补和减排效益最大化。

Abstract

[Objective] Spatial network characteristics and driving forces of net carbon sequestration in the Yangtze River economic belt (YREB) were analyzed to provide a scientific reference for promoting coordinated carbon emission reduction

supporting the achievement of “dual carbon” goals and regional coordinated development. [Methods] A spatial association network of carbon sinks in the YREB was constructed at the municipal level using a modified gravity model. Social network analysis was then applied to examine the network’s characteristics and driving factors. [Results] ① From 2001 to 2021

total carbon emissions in the YREB exhibited an increasing trend

with a spatial distribution pattern of higher and lower emissions in the east and west

respectively. Conversely

total carbon sinks followed a fluctuating upward trend

showing a pattern of higher sinks in the west and lower in the east. Net carbon sinks have continuously declined

with a similar west-east gradient. ② The carbon sink network in the YREB showed significant spatial correlation

forming a complex dense in the east and sparse in the west network pattern

with Chongqing and Shanghai City emerging as dual-core nodes. The regional network exhibited high centrality

with cities such as Shanghai and Chongqing City playing key roles. The network’s overall structure demonstrated low stability. ③ Cities were categorized into four groups based on their roles within the network: net exporters

bidirectional exchanges

brokers

and net beneficiaries. Interblock spillover effects were more pronounced than intra-block associations. ④ The primary driving forces behind the spatial association network of carbon sinks were economic development

industrial structure upgrades

energy consumption intensity

and land-use patterns. [Conclusion] In the future

it is essential to consider the spatial network dynamics of net carbon sinks across cities

leveraging complementary strengths to maximize emission reduction benefits.

关键词

Keywords

references

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(1):141-147. Hao Jiming, Wang Jinnan, Zhang Shougong, et al. Several strategic issues for the construction of ecological civilization in Yangtze River economic belt [J]. Strategic Study of CAE, 2022,24(1):141-147.

杨庆,张凤太,孙长城,等.非协调耦合视角下长江经济带高质量发展与生态保护的时空特征[J].水土保持通报,2021,41(3):238-246,257. Yang Qing, Zhang Fengtai, Sun Changcheng, et al. Temporal and spatial differentiation characteristics of high-quality development and ecological protection in Yangtze River economic belt from perspective of non-coordinated coupling [J]. Bulletin of Soil and Water Conservation, 2021,41(3):238-246,257.

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. Yan Huafei, Yang Mei, Xiao Jing. Does development strategy of Yangtze River economic belt promote regional carbon emission reduction?: Tests based on difference-in-differences model [J]. Resources and Environment in the Yangtze Basin, 2023,32(6):1138-1151.

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(1):87-99. Huang Qinghua, Shi Peihao, Hu Jiangfeng. Industrial agglomeration and high-quality economic development: Examples of 107 prefecture-level cities in the Yangtze River economic belt [J]. Reform, 2020(1):87-99.

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(7):1365-1378. Tian Rongzhi, Cao Gaohang, Xiang Songlin, et al. Research on influence and spatial effect of innovation and entrepreneurship on carbon emissions in Yangtze River economic belt [J]. Resources and Environment in the Yangtze Basin, 2023,32(7):1365-1378.

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(5):92-99. Li Qiang. A research on emission reduction effects of formal and informal environmental regulation: Taking the Yangtze River economic belt as an example [J]. Modern Economic Research, 2018(5):92-99.

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(6):1113-1126. Huang Dechun, Shen Xuemei, Zhu Yun. Spatio-temporal evolution and influencing factors of carbon emission efficiency of manufacturing industry in Yangtze River economic belt [J]. Resources and Environment in the Yangtze Basin, 2023,32(6):1113-1126.

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].环境科学研究,2023,36(8):1564-1576. Huang Hanzhi, Jia Junsong, Liu Shuting, et al. Analysis of spatial-temporal evolution and influencing factors of carbon sinks in Yangtze River economic belt from 2000 to 2020[J]. Research of Environmental Sciences, 2023,36(8):1564-1576.

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(8):34-40,111. Li Zhenqiang, Zhou Qiuyang. Does the upgrading of industrial structure help promote carbon emission reduction: An empirical research based on the Yangtze River economic belt [J]. Ecological Economy, 2021,37(8):34-40,111.

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(4):973-980. Yi Bailu, Han Ji, Zhou Xiang, et al. Spatiotemporal pattern of carbon sources and sinks in Yangtze River Delta region, China [J]. Chinese Journal of Applied Ecology, 2015,26(4):973-980.

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(2):100-109. Xie Yonghao, Liu Zheng. Study on the temporal and spatial differentiation and equity of carbon sink and carbon emission of China’s provincial planting industry [J]. World Agriculture, 2022(2):100-109.

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(2):332-340. Yang Guoqing, Zhu Wenrui, Wen Ya, et al. Spatial differentiation in the intensity and efficiency of carbon emission from land use in Guangdong Province in past two decades [J]. Ecology and Environmental Sciences, 2019,28(2):332-340.

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. Zhao Ning, Zhou Lei, Zhuang Jie, et al. Integration analysis of the carbon sources and sinks in terrestrial ecosystems, China [J]. Acta Ecologica Sinica, 2021,41(19):7648-7658.

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(4):792-799. Zhang Mei, Lai Li, Huang Xianjin, et al. The carbon emission intensity of land use conversion in different regions of China [J]. Resources Science, 2013,35(4):792-799.

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. He Yong. Study on the Carbon Cycle of Climate and Terrestrial Ecosystems in China [M]. Beijing: China Meteorological Press, 2006.

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(8):1298-1309. Tian Yun, Zhang Junbiao. Regional differentiation research on net carbon effect of agricultural production in China [J]. Journal of Natural Resources, 2013,28(8):1298-1309.

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(6):32-41. Zheng Yun, Huang Jie. A study on the characteristics and driving factors of spatial correlation network of agricultural ecological efficiency in China [J]. Economic Survey, 2021,38(6):32-41.

Zhang Renjie, Tai H, Cheng Kuotai, 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.

Yu Ziqi, Chen Longqian, Tong Haixia, 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.

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[2024-09-09].https://doi.org/10.20103/j.stxb.202401020005. Wang Yi qi, Zhen Wenqing. Spatial correlation effect and influencing factors of provincial carbon emission performance in China. Acta Ecologica Sinica, 2024,(16):1-15[2024-09-09].https://doi.org/10.20103/j.stxb.202401020005.

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. Feng Ying, Hou Mengyang, Yao Shunbo. Structural characteristics and formation mechanism of spatial correlation network of grain production in China [J]. Acta Geographica Sinica, 2020,75(11):2380-2395.

Rong Tianqi, Zhang Pengyan, Li Guanghui, et al. Spatial correlation evolution and prediction scenario of land use carbon emissions in the Yellow River basin [J]. Ecological Indicators, 2023,154:110701.

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]. https://doi.org/10.13227/j.hjkx.202312121. Yin Jian, LONG Yaoyao, JIANG Hong-tao. Spatial Correlation Network Characteristics and Influencing Factors of Industrial Carbon Emission Efficiency of Cities in Pear River basin [J/OL]. Environmental Science: 1-15[2024-07-11]. https://doi.org/10.13227/j.hjkx.202312121.

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. Hu Jingxin, Sha Qing’e, Liu Huilin, et al. Evolution characteristics and driving forces of carbon dioxide emissions and sinks in the Pearl River delta region, China [J]. Environmental Science, 2023,44(12):6643-6652.

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(6):1131-1148. Wang Shaojian, Huang Yongyuan. Spatial spillover effect and driving forces of carbon emission intensity at city level in China [J]. Acta Geographica Sinica, 2019,74(6):1131-1148.

陈红梅,张彩莉,李建豹.长三角地区新型城镇化对城市土地绿色利用效率的影响及空间效应[J].长江流域资源与环境,2024,33(7):1382-1396. Chen Hongmei, Zhang Caili, Li Jianbao. Research on influence and spatial effect of new-type urbanization on urban land green use efficiency in the Yangtze River delta region [J]. Resources and Environment in the Yangtze Basin, 2024,33(7):1382-1396.

詹绍奇,张旭阳,陈孝杨,等.2000—2020年淮南矿区土地利用变化对碳源/碳汇时空格局的影响[J].水土保持通报,2023,43(3):310-319. Zhan Shaoqi, Zhang Xuyang, Chen Xiaoyang, et al. Effects of landuse change on spatial and temporal patterns of carbon sources/sinks in Huainan mining area from 2000 to 2020[J]. Bulletin of Soil and Water Conservation, 2023,43(3):310-319.

潘竟虎,张永年.中国能源碳足迹时空格局演化及脱钩效应[J].地理学报,2021,76(1):206-222. Pan Jinghu, Zhang Yongnian. Spatiotemporal patterns of energy carbon footprint and decoupling effect in China [J]. Acta Geographica Sinica, 2021,76(1):206-222.

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(2):190-200. Ji Xueqiang, Liu Huimin, Zhang Yuesong. Spatiotemporal evolution and driving factors of spatial correlation network structure of China’s land-use carbon emission [J]. Economic Geography, 2023,43(2):190-200.

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[2024-09-09].http://kns.cnki.net/kcms/detail/12.1117.G3.20231130.1033.004.html. Guo Aijun, Zhang Chuanbing. How does the digital economy affect the intensity of carbon emissions?: Based on the dual perspectives of industrial structure upgrading and rationalization [J/OL]. Science of Science and Management of S.& T.,1-28[2024-09-09]. http://kns.cnki.net/kcms/detail/12.1117.G3.20231130. 1033.004.html.

张娜,孙芳城,胡钰苓,等.长江经济带三大城市群土地利用碳排放的区域差异及空间收敛性[J].环境科学,2024,45(8):4656-4669. Zhang Na, Sun Fangcheng, Hu Yuling, et al. Regional difference and spatial convergence of land use carbon emissions in three urban agglomerations of Yangtze River economic belt [J]. Environmental Science, 2024,45(8):4656-4669.

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. Hou Ruiping, Xia Chaozong, Chen Jian, et al. Carbon storage and carbon sink of forest land and other biomass in the Yangtze River economic belt [J]. Acta Ecologica Sinica, 2022,42(23):9483-9498.

史娜娜,肖能文,王琦,等.长江经济带生态系统格局特征及其驱动力分析[J].环境科学研究,2019,32(11):1779-1789. Shi Nana, Xiao Nengwen, Wang Qi, et al. Spatial pattern of ecosystems and the driving forces in the Yangtze River economic zone [J]. Research of Environmental Sciences, 2019,32(11):1779-1789.

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