THE IMPACT OF LOGISTICS PERFORMANCE ON EXPORTS: EVIDENCE FROM POST-SOVIET COUNTRIES (2007–2023).
Abstract
The present study investigates the impact of logistics system efficiency on export performance in post-Soviet economies. The utilization of panel data from 14 former Soviet republics spanning the period from 2007 to 2023 (excluding Turkmenistan due to missing data) facilitates the estimation of fixed-effects models. These models establish a correlation between exports and logistics performance (LPI), gross domestic product (GDP), the exchange rate, and foreign direct investment (FDI). Given the availability of observations for irregular calendar years, a lag is defined as the previous available observation to model logistics effects. The findings indicate that contemporaneous logistics performance is statistically insignificant, while lagged logistics performance is positive and significant. This suggests that improvements in logistics lead to higher exports, albeit with a delay. The relationship between GDP and FDI, as well as their role as positive determinants of exports, remains robust. The application of diagnostic tests reveals the presence of first-order autocorrelation and groupwise heteroskedasticity. Consequently, inference is contingent upon the utilization of country-clustered standard errors. The findings indicate that the implementation of ongoing logistics reforms and investments in trade facilitation can serve as effective medium-term catalysts for export growth in transition economies.
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