caerCentral Asian Economic ReviewCentral Asian Economic Review2789-43982789-4401Университет Нархозcaer-30Research ArticleРЕГИОНАЛЬНАЯ И ОТРАСЛЕВАЯ ЭКОНОМИКАREGIONAL AND INDUSTRIAL ECONOMYСРАВНИТЕЛЬНЫЙ КЛАСТЕРНЫЙ АНАЛИЗ АГРАРНОГО ПОТЕНЦИАЛА КАЗАХСТАНА СО СТРАНАМИ МИРАCOMPARATICE CLUSTER ANALYSIS OF KAZAKHSTAN’S AGRICULTURAL POTENTIAL WITH WORLD COUNTRIESРахметоваР. У.UmirzakovnaR. U.

Нур-Султан

Rakhmetova Rakhila Umirzakovna – doctor of Economic sciences, professsor, vice-rector on science and innovation

Nur-Sultan

rakhmetova@rambler.ruЧейрхановаА. А.CheirkhanovaA. A.

Алматы

Cheyrkhanova Almagul Alibekovna –PhD student

Almaty

alma.cheirkhanova@narxoz.kzМалдыноваА. В.MaldynovaA. V.

Алматы

Maldynova Aizhan Vladimirovna – lecturer

Almaty

aizhanam@gmail.comУниверситет Туран-АстанаКазахстанTuran-Astana UniversityKazakhstanУниверситет НархозКазахстанNarxoz UniversityKazakhstanУниверситет международного бизнесаКазахстанUniversity of International BusinessKazakhstan202028082020044553Copyright © Рахметова Р.У., Чейрханова А.А., Малдынова А.В., 20202020Рахметова Р.У., Чейрханова А.А., Малдынова А.В.Umirzakovna R.U., Cheirkhanova A.A., Maldynova A.V.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/30

Цель исследования. Рассмотреть положение аграрного сектора Казахстана среди стран мира по объему природных ресурсов и эффективности их использования. Методология. Чтобы определить, какие страны соответствуют уровню развития аграрного сектора Казахстана, из 193 стран были отобраны 32 страны, богатые аграрными природными ресурсами и проведена кластеризация в программе SPSS–22. Таким образом, проведен сравнительный анализ рационального использования или эффективности природных ресурсов Казахстана со странами, включенными в кластер. Оригинальность / ценность исследования. Среди стран, богатых сельскохозяйственными природными ресурсами, проведен анализ доходности ресурсного потенциала, сопоставление сельскохозяйственных данных Казахстана с показателями, характеризующими производительность сельскохозяйственного сектора США и России. Результаты исследования. В результате выявлены низкие объемы производства по сравнению с объемами природных ресурсов страны и обусловлены тем, что не в полной мере используются имеющиеся ресурсы страны.

Purpose of the research. Is the study of the source of development of the agricultural sector of Kazakhstan – the place among the countries of the world in accordance with the volume and efficiency of the use of natural resources. Methodology. In this regard, to determine the countries with which the level of development of the agricultural sector of Kazakhstan corresponds, 32 countries rich in agricultural natural resources are selected from 193 countries of the world, and for many indicators that characterize the effective use of natural potential, multidimensional statistics in two forms determined the location of clusters in computer technology using cluster analysis in a special SPSS program. In these two objects, a comparative analysis of the effectiveness of the use or return of natural resources of Kazakhstan with the countries included in the cluster was carried out. Originality / value of the research. Among the countries rich in agricultural natural resources, agricultural data comparing Kazakhstan with indicators of productivity of the agricultural sector of the USA and Russia, analyzing the recoverability of the resource potential. Findings. Resulting in the low production volumes compared to the volumes of natural resources of the country and not fully used all the wealth.

сельскохозяйственный потенциалприродные ресурсыстраны миракластерный анализпрограмма SPSSagricultural potentialnatural resourceworld countriescluster analysisSPSS programReferencesState of the Nation Address of President of the Republic of Kazakhstan Nursultan Nazarbayev “Growing welfare of Kazakh citizens: increase in income and quality of life” [Electronic source] // Official site of the President of the Republic of Kazakhstan. – 2018. – URL: https://www.akorda.kz/en/addresses/addresses_of_president/state-of-the-nation-address-of-president-of-the-republic-of-kazakhstan-nursultan-nazarbayevoctober-5-2018 (accessed: April 02, 2020).“State of the Nation Address of President of the Republic of Kazakhstan Nursultan Nazarbayev 'Growing welfare of Kazakh citizens: increase in income and quality of life’" (2018), available at: https://www.akorda.kz/en/addresses/addresses_of_president/state-of-the-nation-address-of-president-of-the-republic-of-kazakhstannursultan-nazarbayev-october-5-2018 (accessed: April 02, 2020).Мировой атлас данных: Казахстан // knoema [web-portal]. – 2019. – URL: https://knoema.ru/atlas/Kazakhstan (accessed: November 05, 2019).“Mirovoj atlas dannyh: Kazahstan” (2019), available at: https://knoema.ru/atlas/Kazakhstan (accessed: November 05, 2019) (In Russian).President Kassym-Jomart Tokayev’s State of the Nation Address Constructive public dialogue – The basis of stability and prosperity of Kazakhstan [Electronic source] // Official site of the President of the Republic of Kazakhstan. – 2019. –URL: https://www.akorda.kz/en/addresses/addresses_of_president/president-ofkazakhstan-kassym-jomart-tokayevs-state-of-the-nation-address-september-2-2019 (accessed: May 25, 2020).“President Kassym-Jomart Tokayev’s State of the Nation Address Constructive public dialogue – The basis of stability and prosperity of Kazakhstan”, available at: https://www.akorda.kz/en/addresses/addresses_of_president/president-of-kazakhstan-kassym-jomart-tokayevs-state-of-the-nation-address-september-2-2019 (accessed: May 25, 2020).Espolov А. Т., Kerimova U. К., Madiev G. R. Economics and organization of agricultural cooperation. – Almaty: KazNAU, 2017. – 220 p.Espolov А. Т., Kerimova U. К., Madiev G. R. Economics and organization of agricultural cooperation. – Almaty: KazNAU, 2017. – 220 p.Henrie M., Sousa-Poza A. Project Management: A Cultural Literary Review // Project Management Journal. – 2005. – Vol. 36 (2). P. 5–14.Henrie, M. & Sousa-Poza, A. (2005), “Project Management: A Cultural Literary Review”, Project Management Journal, Vol. 36 (2), pp. 5–14.Ауыл, орман, аңшылық жəне балық шаруашылығы статистикасы [Electronic source] // Қазақстан Республикасы Ұлттық экономика министрлігі Статистика комитеті [web-portal]. – 2019. – URL: https://stat.gov.kz/official/industry/14/statistic/5 (accessed: May 05, 2020).“Aýyl, orman, ańshylyq jáne balyq sharýashylyǵy statısıkasy” (2019), Ministry of National Economy of the Republic of Kazakhstan Statistics committee, available at: https://stat.gov.kz/official/industry/14/statistic/5 (accessed: May 05, 2020) (In Kazakh).Financial Sector: Data [Electronic source] // The World Bank [web-site]. – URL: https://data.worldbank.org/topic/financial-sector (accessed: May 27, 2020).“Financial Sector: Data”, The World Bank, available at: https://data.worldbank.org/topic/financial-sector (accessed: May 27, 2020).Mirkin B. G. Cluster analysis methods for decision support: review. – Moscow: Publishing house of the National Research University “Higher School of Economics”, 2011. – 88 p.Mirkin, B. G. (2011), “Cluster analysis methods for decision support: review”, Publishing house of the National Research University "Higher school of Economics", Moscow, 88 p.Heritov A. IBM SPSS Statistics 20 and Amos: Professional statistical data analysis Practical guide. – S-Pb.: Peter, 2013. – 416 p.Heritov, A. (2013), “IBM SPSS Statistics 20 and Amos: Professional statistical data analysis Practical guide”, Peter, Saint-Peterborough, 416 p.Winston W. Microsoft Excel. Data analysis and building business models. – Moscow: Publiching House: “Russian edition”, 2013. – 576 p.Winston W. (2013), “Microsoft Excel. Data analysis and building business models”, Publishing House “Russian edition”, Moscow, 576 p.Рахметова Р. У,, Дуброва Т. А. Прикладные модели жконометрики: монография. – Алматы: Экономика, 2011. – 335 с.Rakhmetova R. U, Dubrova T. A. (2011), “Prikladnye modeli econometrici”, Monograph, Economy, Almaty, 335 p. (In Russian).Рахметова Р. У. Эконометрика. – Алматы: Экономика, 2015. – 220 с.Rakhmetova, R. U. (2015) “Econometrica”, Economy, Almaty, 220 p. (In Russian).Borovikov V. P. Popular introduction to modern data analysis and machine learning on Statistica. – Moscow: Hotline-Telecom, 2013. – 288 p.Borovikov V. P. (2013), “Popular introduction to modern data analysis and machine learning on Statistica”, Hotline -Telecom, Moscow, 288 p.Buyul A., Zefel P. SPSS: The Art of information processing. Analysis of statistical data and recovery of hidden patterns / transl. from German. – S-Pb.: Diasoftyup, 2005. – 608 p.Buyul, A. and Zefel, P. (2005), “SPSS: The Art of information processing. Analysis of statistical data and recovery of hidden patterns”, transl. from German, Diasoftyup, Saint-Peterborough, 608 p.Государственная программа развития агропромышленного комплекса Республики Казахстан на 2017-2021 годы [Electronic source] // Министерство сельхозского хозяйства Республики Казахстан [web-site]. – URL https://www.gov.kz/memleket/entities/moa/documents/1?directions=171&lang=ru (accessed: May 02, 2020).“Gosudarstvennaya programma razvitiya agropromyshlennogo kompleksa Respubliki Kazahstan na 2017-2021 gody”, Ministry of agriculture of the Republic of Kazakhstan, available at: https://www.gov.kz/memleket/entities/moa/documents/1?directions=171&lang=ru (accessed: May 02, 2020) (In Russian).Переработка растениеводческой продукции [Electronic source] // Министерство сельхозского хозяйства Республики Казахстан [web-site]. – URL: https://www.gov.kz/memleket/entities/moa/activities/2093?lang=ru&parentId=170 (accessed: April 01, 2020).“Pererabotka rastenievodcheskoj produkcii”, Ministry of agriculture of the Republic of Kazakhstan, available at: https://www.gov.kz/memleket/entities/moa/activities/2093?lang=ru&parentId=170 (accessed: April 01, 2020) (In Russian).

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