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The Impact of Intelligent Logistics on Logistics Performance Improvement

  • Aishan Ye
  • , Jiayi Cai
  • , Zhenjie Yang
  • , Yangyang Deng
  • , Xiaohua Li
  • Macao Polytechnic University
  • Nantong University

研究成果: Article同行評審

13 引文 斯高帕斯(Scopus)

摘要

The logistics industry is essential to global economic development but continues to grapple with challenges related to quality improvement, cost reduction, and efficiency enhancement. Addressing these issues is crucial for promoting high-quality growth within the sector. The emergence of intelligent logistics—leveraging automation, data analytics, and Internet of Things (IoT) technologies—offers a promising approach to transforming traditional logistics operations. This study develops a theoretical framework that integrates these intelligent logistics components to investigate their mechanisms and limitations in influencing logistics performance. Using an empirical analysis of Chinese provincial panel data, we identify significant disparities in logistics industry performance across the provinces, with most regions exhibiting an initial improvement followed by a subsequent decline. Our findings reveal a notable spatial interaction effect between intelligent logistics and logistics performance, indicating that intelligent logistics substantially enhance performance. However, the impact varies by region: it significantly promotes performance in the eastern and western regions but has a limited effect in the central and northeastern regions, potentially due to distortions in production factors and other regional specificities. Additionally, the degree of openness to the outside world positively influences logistics performance in the western region. The proposed mechanisms are validated in all regions except the eastern region. This study provides valuable insights for policymakers on leveraging intelligent logistics to improve logistics industry performance, highlighting the need for region-specific strategies to maximize the benefits of intelligent logistics technologies.

原文English
文章編號659
期刊Sustainability
17
發行號2
DOIs
出版狀態Published - 1月 2025

UN SDG

此研究成果有助於以下永續發展目標

  1. Affordable and clean energy
    Affordable and clean energy
  2. Decent work and economic growth
    Decent work and economic growth

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