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Abstract
In this study, the effect of logistics performances of the PIIGS (Portugal, Ireland, Italy, Greece, Spain) countries on economic complexity is examined. The logistics performance index (LPI) is used as an indicator of the logistics performance of the countries, and the economic complexity index (ECI) is used as an indicator of economic complexity. Hovewer the LPI does not have observation data in some years, the unbalanced panel data method was used. In order to find the most suitable unbalanced panel data model, Breusch-Pagan Lagrange Multiplier (LM test) is performed and according to the analysis results, one of the random effects regression method is preferred. In this context, the analysis is carried out using the “Maximum Likelihood Regression (MLE) estimation method. According to the results of the analysis, the effect of the LPI on the economic complexity index is positive and significant. In other words, each unit increase in the LPI in the PIIGS countries increases the ECI by 1.28 units.
