Modeling Logistics Efficiency in African Nations: Regression Evidence from the Logistics Performance Index

Abstract

The present study explores the complex dynamics of logistics performance in 40 African nations, utilizing Multiple Linear Regression (MLR) to examine the effects of key parameters on the Logistics Performance Index (LPI). Specifically, we analyze the impact of competitively priced shipment arrangements, the efficiency of Customs clearance procedures, and the quality of trade and transportation-related infrastructure.

To address this objective, the study is structured as follows: we begin with a comprehensive literature review to identify and contextualize the most influential logistics performance determinants across developing regions. This is followed by a critical analysis of existing theoretical and empirical frameworks. We then proceed to an empirical investigation using MLR to assess the significance and strength of these factors within the African context.

Our findings highlight the pivotal role of infrastructure quality and Customs efficiency in shaping overall logistics performance, alongside the importance of accessible and competitively priced shipment services. These results offer actionable insights for policymakers aiming to strengthen logistics capabilities, enhance competitiveness, and support sustainable economic development across African nations.

In doing so, this study contributes both to academic literature and practical policymaking by offering data-driven recommendations grounded in robust econometric analysis.

Classification JEL: R40, L91, O55

Paper type: or Empirical Research