The relationship between logistics and information and communication technologies and their impact on the economy of Kazakhstan

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This study aims to analyze the impact of logistics and information and communication technologies (ICT) on Kazakhstan’s economic growth, which requires rethinking search and management tools. The study used the methods of descriptive data statistics, checking the data for the normality of the distribution, and Spearman’s correlation analysis. The information database comprised the National Bank, the World Development Bank, and the national statistics of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan. The paper determined the dynamics of GDP per capita and logistics, including export and import, for 2005–2020. The construction of the correlation model was carried out in SPSS. Interestingly, the most significant negative relationship was revealed between database-related services and the population and the volume of communication services (.761*).
On the other hand, the results show a positive impact of ICT’s strong relationship with Kazakhstan’s logistics system. A close relationship was revealed between the volume of postal and courier activities and GDP per capita (.946*), and foreign trade turnover and exports and imports (.897*). Furthermore, the correlation analysis showed that the cost of investments in developing data processing services decreases with an increase in GDP and the volume of communication services. The findings of this study are relevant for governmental bodies operating in the field of logistics and transportation. Moreover, they are valuable for the digitalization of existing and designing new logistics systems as a factor in the development of the economy.

Acknowledgment
The study was carried out within the framework of grant funding IRN AP14869297 by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan “Priorities and mechanisms against rural women of Kazakhstan unequal access to the resources”.

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    • Figure 1. Dynamic of GDP and logistics factors units of measurement (US dollars)
    • Table 1. Data description for the variables
    • Table 2. Growth of ICT and logistic indicators
    • Table 3. Descriptive statistics of samples
    • Table 4. One-sample Kolmogorov-Smirnov test
    • Table 5. Spearman’s rho
    • Conceptualization
      Anna Kredina, Mirey Akhtanova, Lazat Spankulova
    • Data curation
      Anna Kredina, Mirey Akhtanova, Makpal Bekturganova, Alexander Tsoy
    • Investigation
      Anna Kredina, Mirey Akhtanova, Alexander Tsoy
    • Methodology
      Anna Kredina, Mirey Akhtanova, Lazat Spankulova
    • Software
      Anna Kredina, Lazat Spankulova
    • Visualization
      Anna Kredina, Mirey Akhtanova, Alexander Tsoy, Lazat Spankulova
    • Writing – original draft
      Anna Kredina, Makpal Bekturganova
    • Writing – review & editing
      Anna Kredina, Makpal Bekturganova
    • Project administration
      Mirey Akhtanova, Makpal Bekturganova
    • Funding acquisition
      Makpal Bekturganova, Alexander Tsoy
    • Supervision
      Makpal Bekturganova
    • Resources
      Alexander Tsoy
    • Validation
      Lazat Spankulova