caerCentral Asian Economic ReviewCentral Asian Economic Review2789-43982789-4401Университет Нархоз10.52821/2789-4401-2024-4-32-40caer-1239Research ArticleНАЦИОНАЛЬНАЯ ЭКОНОМИКА: ВЕКТОРЫ РАЗВИТИЯNATIONAL ECONOMY: DEVELOPMENT VECTORSВЛИЯНИЕ РАЗВИТИЯ ПРЯМЫХ ИНОСТРАННЫХ ИНВЕСТИЦИЙ И ЛОГИСТИКИ НА ЭКОНОМИЧЕСКИЙ РОСТ СТРАНЫ: НА ПРИМЕРЕ РЕСПУБЛИКИ КАЗАХСТАНIMPACT OF THE FOREIGN DIRECT INVESTMENT AND LOGISTICS DEVELOPMENT ON THE COUNTRY’S ECONOMIC GROWTH: CASE OF THE REPUBLIC OF KAZAKHSTANhttps://orcid.org/0000-0003-0923-2601СаржановТ.SarzhanovT.

Алматы

Sarzhanov Taizhan – doctor of technical sciences, professor

Almaty

taizhan.s@mail.ruhttps://orcid.org/0000-0003-2681-8946МусаеваГ.MussayevaG.

Алматы

Gulmira Mussayeva – doctor of technical sciences, professor

Almaty

gulmira0205@bk.ruhttps://orcid.org/0000-0001-8930-2176МуканМ.MukanM.

Алматы

Moldir Mukan – PhD, Associate Professor

Almaty

moldir.mukan@narxoz.kzМеждународный транспортно-гуманитарный университетКазахстанInternational Transport and Humanitarian UniversityKazakhstanАкадемия логистики и транспортаКазахстанAcademy of Logistics and TransportKazakhstanУниверситет НархозКазахстанNarxoz UniversityKazakhstan202412112024043240Copyright © Саржанов Т., Мусаева Г., Мукан М., 20242024Саржанов Т., Мусаева Г., Мукан М.Sarzhanov T., Mussayeva G., Mukan M.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://caer.narxoz.kz/jour/article/view/1239Цель исследования

Цель исследования. Учитывая стратегическое географическое положение Казахстана и его стремление стать крупным транзитным и логистическим центром в Центральной Азии, целью исследования является изучение взаимосвязи между экономическим ростом и другими переменными, такими как прямые иностранные инвестиции и логистические показатели.

Методология

Методология. Данные взяты из World Band Data за 2007-2023 годы. В исследовании использовано эконометрическое моделирование, основанное на предыдущих исследованиях и методах анализа данных. На основе обзора литературы о значимости логистики, ПИИ, энергопотребления, урбанизации и уровня инфляции авторы строят эконометрическую регрессионную модель. Для понимания связи между исследуемыми переменными проводится корреляционная матрица. 

Оригинальность / ценность исследования. Благодаря анализу данных и использованию эконометрических методов, исследование предоставляет эмпирические данные о том, как эти факторы влияют на экономический рост в Республике Казахстан. Кроме того, включение в анализ показателей логистики в качестве ключевой переменной показывает специфику исследования, учитывая стремление Казахстана к укреплению логистической инфраструктуры.

Результаты исследования

Результаты исследования. Регрессионный анализ показывает, что модель обладает высокой объясняющей способностью (R-квадрат 0,88). Это указывает на то, что ВВП может быть объяснен независимыми переменными, которые рассматриваются авторами. Показатели эффективности логистики и энергопотребления демонстрируют статистическую значимость, в то время как ПИИ, рост городского населения и инфляция не имеют статистически значимой силы.

Полученные данные подчеркивают критическую роль эффективности логистики в стимулировании экономического роста в Республике Казахстан. Инвестиции в улучшение логистической инфраструктуры и повышение эффективности могут принести значительные выгоды для экономики.

Purpose

Purpose. According to Kazakhstan’s strategic geographical location and its aspirations to become a major transit and logistics hub in Central Asia, the purpose of the study is to investigate the relationship between economic growth and other variables as foreign direct investments and logistic performance.

Methods

Methods. The data is derived from the World Band Data from 2007-2023 years. The research employs econometric modelling, based on previous studies and data analysis techniques. Correlation matrix is conducted prior to understand the relation between the performed variables.

Originality / value of the research. By analyzing the data and employing econometric techniques, the research provides empirical evidence on how these factors influence the economic growth in the Republic of Kazakhstan. Furthermore, adding logistics performance in the analysis as a key variable shows the specificity of the research, considering the Kazakhstani ambitions to bolster its logistics infrastructure.

Findings

Findings. The regression analysis indicates that the model has a high explanatory power. This indicates that GDP can be explained by the independent variables that are under the authors’ consideration. Logistics performance and energy consumption show statistically significance, while Foreign Direct Investment (FDI), urban population growth and infl ation do not have statistically significant power.

The findings underscore the critical role of logistics performance in driving economic growth in the Republic of Kazakhstan. Investments in improving logistics infrastructure and effi ciency are likely to yield substantial benefits for the economy.

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The authors declare that there are no conflicts of interest present.