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<p>This study aims to evaluate the structural relationships between the six Logistics Performance Index (LPI) indicators established by the World Bank. Utilizing annual data from 26 Asian economies spanning 2007 to 2023, it employs network analysis (NA) to identify the most central and significant indicators within the regional logistics ecosystem. The findings revealed that the quality of trade and transport-related infrastructure (QTTINFRT), the competence and quality of logistics services (CQLS), and consignment tracking (CT) function as the most central indicators of the network, demonstrating the strongest influence. In contrast, competitively priced shipments (CPS) and the frequency of shipments (FS) were found to be peripheral, exhibiting significantly lower centrality values. As a primary contribution, this study presents a novel network-based framework for conceptualizing logistics performance in Asia, moving beyond traditional index-based comparisons. The findings demand a strategic reallocation of resources, including a shift of policy from a blanket approach to a targeted one. Thus, this study benchmarks the Asian Logistics Performance Index against the central indicators, while also directing policymakers’ focus on the less influential dimensions of CPS and FS. Asian policymakers should prioritize investment towards modernizing trade and transport infrastructure (QTTINFRAT), developing skilled logistics professionals (CQLS), and implementing advanced digital tracking systems (CT) to advance the region as a global logistics hub.</p>

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Network analysis (NA) in identifying the central nodes of the logistics performance indicators of selected Asian economies

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月26日

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  • Mohammad Kamrul Hasan,
  • Xunping Lei,
  • Md. Rahat Khan

摘要

This study aims to evaluate the structural relationships between the six Logistics Performance Index (LPI) indicators established by the World Bank. Utilizing annual data from 26 Asian economies spanning 2007 to 2023, it employs network analysis (NA) to identify the most central and significant indicators within the regional logistics ecosystem. The findings revealed that the quality of trade and transport-related infrastructure (QTTINFRT), the competence and quality of logistics services (CQLS), and consignment tracking (CT) function as the most central indicators of the network, demonstrating the strongest influence. In contrast, competitively priced shipments (CPS) and the frequency of shipments (FS) were found to be peripheral, exhibiting significantly lower centrality values. As a primary contribution, this study presents a novel network-based framework for conceptualizing logistics performance in Asia, moving beyond traditional index-based comparisons. The findings demand a strategic reallocation of resources, including a shift of policy from a blanket approach to a targeted one. Thus, this study benchmarks the Asian Logistics Performance Index against the central indicators, while also directing policymakers’ focus on the less influential dimensions of CPS and FS. Asian policymakers should prioritize investment towards modernizing trade and transport infrastructure (QTTINFRAT), developing skilled logistics professionals (CQLS), and implementing advanced digital tracking systems (CT) to advance the region as a global logistics hub.