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沿海发达地区基于多情景排放预测的物流碳减排策略

Carbon reduction strategies for logistics based on emission prediction under multi-scenarios in coastal developed region.

作者信息

Chen Junyu, Zhu Yan, Wu Shengnan, Yang Chuanming, Wang Huimin

机构信息

School of Business, Suzhou University of Science and Technology, Suzhou, 215009, Jiangsu Province, China.

College of Management and Economics, Tianjin University, Tianjin, 300072, China.

出版信息

Carbon Balance Manag. 2025 Jun 4;20(1):13. doi: 10.1186/s13021-025-00295-3.

Abstract

The differences in logistics carbon emission and carbon absorption in different areas lead to potential conflicts in the green development of regional logistics. The Yangtze River Delta (YRD) in China is a critical coastal developed region for economic integration development and opening up, with logistics playing a substantial role in energy consumption and carbon emissions. Therefore, addressing the low-carbon transformation of logistics in the YRD is a matter of great concern. The framework of carbon balance accounting and prediction of logistics consist of 'basic accounting-factor analysis-prediction simulation' is constructed. Then, this study accounts the logistics carbon emissions (LCE) and logistics carbon capacity (LCC) in the four subregions (Shanghai, Jiangsu, Zhejiang and Anhui) from 2010 to 2021. Estimates the influencing factors of LCE through the geographically and Temporally Weighted Regression model (GTWR). Then, constructs the prediction model for the logistics carbon balance statue based on System Dynamics (SD) structure under four single-factor scenarios and two cross-factor scenarios from 2022 to 2030. Results showed that: (1) The logistics carbon deficit in the YRD is prominent. And the four sub-regions show different spatio-temporal evolution characteristics. (2) The influences of economic level and technical level on LCE are particularly obvious and also has spatio-temporal heterogeneity. (3) There is a trade-off between the pursuit of economic development and carbon emission control. S1 and S2 will continue to witness the increase of logistics carbon pollution. Under S3-S4, the effect of LCE reduction is relatively weak. S5 shows a significant carbon reduction effect, S6 could achieve a good balance between economic development and carbon emissions. (4) Promote the reform of transportation from highway to railway, ensure access to affordable and clean energy for logistic, promote the coordinated carbon reduction of regional logistics and synchronous construction of ecological and artificial carbon pool based on the conditions of developed coastal areas could be feasible paths to achieve carbon balance for YRD.

摘要

不同地区物流碳排放与碳吸收的差异导致区域物流绿色发展存在潜在冲突。中国长江三角洲地区是经济一体化发展和对外开放的重要沿海发达地区,物流在能源消耗和碳排放中发挥着重要作用。因此,推进长三角地区物流低碳转型备受关注。构建了由“基础核算—因素分析—预测模拟”组成的物流碳平衡核算与预测框架。然后,本研究核算了2010年至2021年四个子区域(上海、江苏、浙江和安徽)的物流碳排放(LCE)和物流碳容量(LCC)。通过地理加权和时间加权回归模型(GTWR)估计LCE的影响因素。接着,基于系统动力学(SD)结构构建了2022年至2030年四个单因素情景和两个交叉因素情景下的物流碳平衡状况预测模型。结果表明:(1)长三角地区物流碳赤字突出。四个子区域呈现出不同的时空演变特征。(2)经济水平和技术水平对LCE的影响尤为明显,且具有时空异质性。()在追求经济发展和碳排放控制之间存在权衡。S1和S2将继续见证物流碳污染的增加。在S3 - S4情景下,LCE减排效果相对较弱。S5呈现出显著的碳减排效果,S6能够在经济发展和碳排放之间实现良好平衡。(4)推动运输方式从公路向铁路转变,确保物流获得负担得起的清洁能源,基于沿海发达地区的条件促进区域物流协同碳减排以及同步建设生态和人工碳库,可能是长三角地区实现碳平衡的可行路径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddab/12139084/38c803313ee9/13021_2025_295_Fig1_HTML.jpg

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