The diffusion and the international context of logistics performance

Pei Chun Lin, T. C.E. Cheng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

9 Citations (Scopus)


We spatially analyze 2016 data on logistics performance and country wealth using a linear regression framework to determine the relationships between a country’s logistics performance index (LPI) and its domestic product (GDP) per capita, and between its LPI and those of its neighbours. We find that richer countries score better on logistics and GDP per capita appears to have limited ability in accounting for variations in logistics performance, but a country’s LPI is closely related to those of its neighbours. We also find that very large differences in one country’s GDP per capita do not significantly change the world’s expected logistics performance level. We obtain the key insights that LPIs, each of which measures the performance along the logistics supply chain within a country, cannot in general be assumed to be mutually independent and that observations that are spatially close to one another are likely to be similar.

Original languageEnglish
Pages (from-to)188-203
Number of pages16
JournalInternational Journal of Logistics Research and Applications
Issue number2
Publication statusPublished - 4 Mar 2019


  • gross domestic product (GDP) per capita
  • Logistics performance index
  • neighbouring countries
  • spatial lag

ASJC Scopus subject areas

  • Management Information Systems
  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Management Science and Operations Research


Dive into the research topics of 'The diffusion and the international context of logistics performance'. Together they form a unique fingerprint.

Cite this