Abstract
The purpose of this study is to analyze the impact of logistical factors on Kazakhstan's foreign trade turnover for the period from 2013 to 2023, with a particular focus on cargo transportation volumes, freight turnover, container traffic, and transit transport volumes. The research employs a comprehensive and robust methodology that includes data collection, regression analysis, and model refinement to ensure the validity and reliability of the results. The regression analysis initially included all collected variables, but the model was refined to address multicollinearity and retain statistically significant predictors. The model initially included all variables, but was later refined to address multicollinearity, retaining only statistically significant predictors. The results of the analysis showed that the volume of transit transport is a significant factor affecting the foreign trade turnover of Kazakhstan. The model demonstrated a positive and statistically significant coefficient for the volume of transit transport (0.004534, p-value = 0.025962), which confirms the hypothesis of its crucial role. Additionally, the potential integration of blockchain technology in logistics processes is explored, suggesting that such advancements could enhance transparency, efficiency, and reliability in managing transit goods. By adopting a comprehensive approach that examines multiple logistics factors simultaneously and leveraging a long-term dataset, this research offers novel insights into the logistics-trade relationship in Kazakhstan.