Infrastructural Assessment of Agricultural Production of Kazakhstan at the Regional Level

The most significant pattern characteristic of this set of industries, as a system, is their technological interaction, each of the industries acts as a supplier of raw materials and/or a sales market (multi–raw material system), which allows us to consider the overall system as a complex socio-economic and at the same time spatial phenomenon with multiple characteristics, the study of which involves taking into account the interrelationships between a variety of factors and phenomena, which makes it possible to apply an institutional approach to it, the main purpose of which is – exploring these connections. The paper puts forward and verifies the hypothesis that the basis of each of the industries is the activity of their economic entities, the interaction between which, according to the theory of institutionalism, is regulated by a set of norms and rules and organizations and institutions that control their implementation. The purpose of the work is to assess the infrastructure of agricultural territories as one of the most important factors in creating a food hub. The authors evaluated the data on the social and industrial infrastructure of agro-industrial territories. The article considers the functional efficiency of social infrastructure, economic indicators of the development of the production infrastructure of agricultural territories, the quality of life of the population of rural territories. The novelty of the results obtained consists of identifying the problems of the development of infrastructure indicators and ways to solve them in the short term. The results of the study can be used to develop directions for the integrated development of the food hub, food security of the country as a whole, and improving the well-being of the rural population.

1. Busse M., Hefeker C. Political risk, institutions and foreign direct investment // European Journal of Political Economy. – 2006. – Vol. 23(2). –P. 397-415.

2. Scheve K., Slaughter M.J. Economic Insecurity and the Globalization of Production // American Journal of Political Science. – 2004. – Vol. 48, Issue 4. –Р. 662-674.

3. Ausloos M., Miskiewicz J. Entropy correlation distance method applied to study correlations between the gross domestic product of rich countries // Int. J. Bifurcat. Chaos. – 2010. – Vol. 20. – P. 381.

4. Marshall A., Maulana T., Tang L. The estimation and determinants of emerging market country risk and the dynamic conditional correlation GARCH model // International Review of Financial Analysis. – 2009. – Vol. 18(5). – P. 50-59.

5. Bellows A., Hamm M. U.S.–Based Community Food Security: Influences, Practice, Debate // Journal for the Study of Food and Society. – 2002. – Vol. 6(1). – Р. 31-44.

6. Абалкина А.А. Азиатские страны в поисках оптимальной интеграционной модели // Проблемы Дальнего Востока. - 2007. - №2. - С.74-83

7. Argentina: Livestock and Products Annual. USDA Foreign Agricultural Service. September 15, 2017

8. Сажина М.А. Научные основы экономической политики государства.- Издательство: «Форум», «Инфра-М», 2011. https://www.livelib.ru/author/30403/latest-m-a-sazhina

9. Australian Bureau of Statistics. [Электронный ресурс]. – Режим доступа: http://www.abs.gov.au (дата обращения: 12.02.2020)

10. Canada’s beef industry: Fast facts June 2017. [Электронный ресурс]. – Режим http://www.cattle.ca/assets/8562411068/CBIfastfactsENGAug3bWEB.pdf (дата обращения: 07.11.2018). 217. FAOSTAT. [Электронный ресурс]. – Режим доступа: http://fao.org/faostat/en (дата обращения: 17.07.2019)

11. Усманова, Е.Н Опыт разведения мясного скота в штате Виргиния (США) / Е.Н. Усманова, Л.И. Кузякина // Молочное и мясное скотоводство. – 2017. – № 6. – С. 18-21

12. Kahn, L. Beef Cattle Production and Trade / L. Kahn, D. Cottle. – Csiro Publishing, 2014. – 584 p

13. Liefert, W. The effect of Russia’s economic crisis and import ban on its agricultural and food sector / W. Liefert, R. Seeley, T. Lee // Journal of Eurasian Studies. – 2019. DOI: 10.1177/1879366519840185

14. OECD data. [Электронный ресурс]. – Режим доступа: https://data.oecd.org (дата обращения: 15.05.2020)

15. Javed, Kh. Livestock Production / Kh. Javed. – InTech, 2012. – 158 p.