摘要：With the development of trade between countries, the role of effective logistics activities has increased significantly. At the same time, the strong logistics performance contributes to the expansion of trade, diversification of exports, attracting foreign direct investments and economic growth. Therefore, monitoring the global logistics performance has become a crucial tool for countries to evaluate their position relative to their competitors. In this study, using the Logistics Performance Index (LPI) data published by the World Bank, the variables that determine the logistics performance of the countries were by ordered logistic regression model for the 2007, 2012 and 2018. The LPI scores of the countries were examined with foreign trade, transportation, and economic variables, and also the results of the multiple classification method were compared to determine the relationship between the independent variables. Thus, the consistency between countries in the specified (observed) LPI group and their place in the (estimated) group obtained from the models was determined. In the result of the study, it was determined that the variables related to foreign trade, national income and air transportation have a statistically significant and positive effect on LPI. In addition, although the grouping of countries according to LPI scores shows high consistency according to the model estimations (this ratio varies by years, this ratio is in the range of 68.2% -64%), this situation increases significantly especially for the countries in the group with high LPI levels.
关键词：Logistics Performance Index (LPI) ; Ordered Logistic Regression
