Harmonized Development of International Trade in Logistics Services and Ecological Environment

This study tackles the efficiency-sustainability conflict in international logistics by developing an integrated computer technology approach. Key innovations include: (1) A five-dimensional ecological evaluation system (carbon, energy, material flow, spatial, institutional) embedded across logistics life cycles; (2) Adaptive algorithmic architectures (ST-GCN + MADDPG) dynamically optimizing scheduling under ecological constraints, outperforming traditional methods; (3) Blockchain-IoT facilitated regional collaboration models (EU, ASEAN, USMCA) enhancing cross-border policy alignment. Virtual simulations confirm reinforcement learning and hybrid algorithms achieve 22–37% higher green objective attainment. The framework bridges technological innovation with governance for carbon-neutral logistics.

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Publication Details

Journal
International Journal of Agricultural and Environmental Information Systems
Published
2025-09-26
DOI
https://doi.org/10.4018/ijaeis.389145
Primary Topic
Economic and Business Development Strategies
Type
article
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article

Harmonized Development of International Trade in Logistics Services and Ecological Environment

Abdullah Ma, Peng Zhang
International Journal of Agricultural and Environmental Information Systems
Economic and Business Development Strategies
article

Harmonized Development of International Trade in Logistics Services and Ecological Environment

Abdullah Ma, Peng Zhang
article en

Abstract

This study tackles the efficiency-sustainability conflict in international logistics by developing an integrated computer technology approach. Key innovations include: (1) A five-dimensional ecological evaluation system (carbon, energy, material flow, spatial, institutional) embedded across logistics life cycles; (2) Adaptive algorithmic architectures (ST-GCN + MADDPG) dynamically optimizing scheduling under ecological constraints, outperforming traditional methods; (3) Blockchain-IoT facilitated regional collaboration models (EU, ASEAN, USMCA) enhancing cross-border policy alignment. Virtual simulations confirm reinforcement learning and hybrid algorithms achieve 22–37% higher green objective attainment. The framework bridges technological innovation with governance for carbon-neutral logistics.

International Journal of Agricultural and Environmental Information SystemsVol. 16(1)
Xiamen University (CN), Hebei GEO University (CN)
Openalex Percentile: Top 65%
Economic and Business Development Strategies
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