The Impact of Intelligent Logistics on Logistics Performance Improvement DOI Open Access

Aishan Ye,

Jiayi Cai, Zhenjie Yang

и другие.

Sustainability, Год журнала: 2025, Номер 17(2), С. 659 - 659

Опубликована: Янв. 16, 2025

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

Язык: Английский

The Impact of Intelligent Logistics on Logistics Performance Improvement DOI Open Access

Aishan Ye,

Jiayi Cai, Zhenjie Yang

и другие.

Sustainability, Год журнала: 2025, Номер 17(2), С. 659 - 659

Опубликована: Янв. 16, 2025

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

Язык: Английский

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