长江经济带净碳汇空间网络特征及驱动因素

谭德明; 欧阳芳兰; 张彩平

doi:10.13961/j.cnki.stbctb.2024.05.034

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长江经济带净碳汇空间网络特征及驱动因素

试验研究

- 长江经济带净碳汇空间网络特征及驱动因素
- Spatial Network Characteristics and Driving Forces of Net Carbon Sequestration in Yangtze River Economic Belt
- 水土保持通报 2024年43卷第5期页码：315-326
- 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：
  
  湖南省哲学社会科学基金重大项目(“学术湖南”精品培育项目)“‘双碳’目标导向的碳信息披露体系设计及标准化建设研究”(22ZDAJ011);国家社科基金后期资助项目“‘双碳’目标导向的企业碳资产管理研究”(23FGLB011);湖南省自然科学基金项目“基于城市空间网络分析(UNA)的轨道交通与土地利用耦合机理及协调发展研究”(23FGLB011)
- DOI：10.13961/j.cnki.stbctb.2024.05.034
  中图分类号： X321;F301.2
- 纸质出版：2024
- 稿件说明：
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谭德明, 欧阳芳兰, 张彩平. 长江经济带净碳汇空间网络特征及驱动因素[J]. 水土保持通报, 2024,43(5):315-326.

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.
谭德明, 欧阳芳兰, 张彩平. 长江经济带净碳汇空间网络特征及驱动因素[J]. 水土保持通报, 2024,43(5):315-326. DOI： 10.13961/j.cnki.stbctb.2024.05.034.

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

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