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全球贸易对运输业可持续性的不均衡影响。

Uneven effects of global trade on transportation industry sustainability.

作者信息

Zhao Kuokuo, Zha Donglan, Zhang Chaoqun, Yang Guanglei, Wang Qunwei, Ding Hao, Qiu Yueming Lucy

机构信息

College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.

Research Center for Soft Energy Science, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.

出版信息

iScience. 2025 Feb 1;28(3):111939. doi: 10.1016/j.isci.2025.111939. eCollection 2025 Mar 21.

DOI:10.1016/j.isci.2025.111939
PMID:40034860
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11875190/
Abstract

The global trade in transportation industry has complex socio-economic, resource, and environmental (SRE) footprints. Linking these footprints with sustainability frameworks is crucial for driving transportation industry sustainability (TI-S). Here, we analyze these footprints and develop a TI-S assessment system with 26 SRE indicators for 16 TI-S targets. We find that global trade increases TI-S scores; developed economies excel in resource and environmental targets, developing economies progress more in employment and tax targets. For South Africa, Russia, and Australia, improvements in the socio-economic target scores do not offset decreases in resource and environmental target scores. In terms of interaction between the targets, global trade enhances synergies among the 16 targets in developed economies; this is not consistently the case for developing economies. These findings highlight the heterogeneous impact of trade on TI-S. The paper closes by proposing measures to promote TI-S progress, which could help inform adjustments in industrial policies.

摘要

运输行业的全球贸易具有复杂的社会经济、资源和环境(SRE)足迹。将这些足迹与可持续发展框架联系起来对于推动运输行业可持续发展(TI-S)至关重要。在此,我们分析这些足迹,并针对16个TI-S目标开发了一个包含26个SRE指标的TI-S评估系统。我们发现全球贸易提高了TI-S得分;发达经济体在资源和环境目标方面表现出色,发展中经济体在就业和税收目标方面进步更大。对于南非、俄罗斯和澳大利亚而言,社会经济目标得分的提高并未抵消资源和环境目标得分的下降。在目标之间的相互作用方面,全球贸易增强了发达经济体中16个目标之间的协同效应;发展中经济体的情况并非始终如此。这些发现凸显了贸易对TI-S的异质性影响。本文最后提出了促进TI-S进步的措施,这有助于为产业政策调整提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a02/11875190/b3a18ac5df6c/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a02/11875190/36f6acc2dc60/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a02/11875190/67eb4823d74e/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a02/11875190/6fa8f72809d5/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a02/11875190/56a0440323d6/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a02/11875190/02f96f0f662d/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a02/11875190/1e55864eaaa4/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a02/11875190/b3a18ac5df6c/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a02/11875190/36f6acc2dc60/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a02/11875190/67eb4823d74e/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a02/11875190/6fa8f72809d5/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a02/11875190/56a0440323d6/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a02/11875190/02f96f0f662d/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a02/11875190/1e55864eaaa4/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a02/11875190/b3a18ac5df6c/gr6.jpg

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