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ASSESSMENT OF THE MIGRATION POTENTIAL OF THE POPULATION OF RURAL AREAS OF KAZAKHSTAN

Abstract

An assessment of current state of one of the key indicators of agricultural economy of the Republic of Kazakhstan - the migration potential of the rural population has been presented. The issues of assessing and measuring the migration of the population of the republic - the number of departures and arrivals, as well as the balance of migration have been considered. It is noted that these methodological approaches to assessing the current situation in internal migration of the population are generally accepted. The data on internal migration of the rural population of the republic are presented. The points of view and scientific approaches of Kazakhstan researchers dealing with this problem are presented. Based on the study of statistical information on the current state and dynamics of internal migration of the rural population of Kazakhstan, statistical dependencies were calculated which characterize the dynamics of the balance of this migration for 2010-2017. The autocorrelation coefficients of the balance (r) and the average approximation error for all functional identities are determined. The best dependence was chosen, on the basis of which the medium-term forecast of migration potential of population living in the rural areas of the country was done. The authors point out the need to take into account the results obtained in the development of national and regional policy documents, the purpose of which is to further effectively develop agricultural labor market, as well as to ensure the growth of the level and quality of life of the population living in rural areas.

About the Authors

D. N. Shaikin
North Kazakhstan State University named after M. Kozybayev
Kazakhstan


D. T. Yessembekova
North Kazakhstan State University named after M. Kozybayev
Kazakhstan


References

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Review

For citations:


Shaikin D.N., Yessembekova D.T. ASSESSMENT OF THE MIGRATION POTENTIAL OF THE POPULATION OF RURAL AREAS OF KAZAKHSTAN. Problems of AgriMarket. 2019;(1):164-169. (In Russ.)

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ISSN 1817-728X (Print)
ISSN 2708-9991 (Online)