Logistics sector is closely associated with trade flow which links to a nation's economic growth. The efficiency of logistics networks, in its turn, depends on government services, innovations, public education , which lie at the heart of global competitiveness. Therefore understanding the relationship among the logistic performance, competitiveness and economic growth of a country is important. This study aims to propose a methodology to develop a roadmap for policymakers in improving the logistics performance of their countries. For this purpose, the author analyzes the mediation effect of the logistics performance (as measured by the Logistics Performance Index (LPI)) between the Global Competitiveness Index (GCI) and economic growth rate. The relationship was measured using multiple panel regression based on fixed effect model taking static panel analysis. The author tests the consistency of the Baron and Kenny mediator model through a multiple regression model. The approach of this paper is empirical in nature, but the formulated model and hypotheses are well informed by the relevant theory. The empirical analysis is based on panel data covering a large number of countries at various phases of development and these countries are further divided into three income groups, namely high income, low income and middle income group. The model proves to have adequate goodness-of-fit as well as predictive validity and is examined in the above three groups of countries respectively. Results support most hypotheses showing: (1) a positive relationship between GCI and LPI in all countries under investigation regardless of income disparity; (2) a positive relationship between LPI with economic growth rate in countries with upper income, middle income but not in the countries with lower income; (3) a positive relationship between GC and economic growth rate in in countries with upper income, middle income but not in the countries with lower income; (4) a mediation effect of LPI between GCI and economic growth rate in countries with upper income, middle income but not in the countries with lower income; (5) a positive relationship between LPI and export in all countries under investigation regardless of income disparity; (6) a positive relationship between export and economic growth in all countries under investigation regardless of income disparity; and (7) a mediation role of export between LPI and economic growth rate only in high-income countries. These findings are interpreted regarding the extant body of knowledge related to logistics performance, global competitiveness, export and economic growth. Moreover, the contributions and implications are discussed and the practical significance is revealed. Finally, the study limitations are listed, the recommendations for future research are provided.