Forecast of labor supply in the context of labor market modernization in Kazakhstan

Authors

  • С. Джумамбаев

Abstract

The importance of studying the current problems of the labor market is due to the fact that the
proclaimed course of the third modernization of Kazakhstan involves ensuring dynamic growth of the
economy based on its accelerated technological modernization and, accordingly, the creation of a fully
functioning labor market. Until now, the essence and content of the modernization of the labor market
and the influence of various factors on the dynamics of its development are not fully reflected in domestic
science. Particularly, there is the question of the degree of state intervention in the processes of labor
market regulation.
In the new conditions, the modernized labor market, in turn, should become a factor of economic
growth. In this regard, it is advisable to critically rethink the methods of analyzing and forecasting labor
supply and labor demand, mechanisms for the formation of wages and the functioning of labor market
institutions and other issues that characterize the current state of the labor market in the country. The
situation on the labor market in Kazakhstan is largely determined by the imbalance of labor supply and
demand for labor. In this regard, it is important to determine the factors determining the relationship
between them.
This article deals with the problems of labor supply formation (CP) in the Kazakhstan labor market
under the influence of various factors. Their study is important both in theoretical and in practical terms.
Numerous studies of the labor market focus on two main macroeconomic indicators — GDP and unemployment
(employment), and unfairly little space is devoted to studying the supply of labor. Meanwhile,
it is the quantitative and qualitative characteristics of the ORS and their comparison with the demand for
labor determine the direction and content of measures to achieve a balance between them.
Methodology of research. The methodological basis of the problems discussed in the article are
the studies of foreign and domestic scientists on this problem. Due to the impossibility of covering the
entire set of complex labor market issues, this article focuses on the study of the problem of forecasting
labor supply in the labor market in Kazakhstan. Based on the general laws governing the functioning of
the labor market, the volume of labor supply is analyzed and projected depending on the influence of
various factors that reflect the specific conditions of economic development and the particularities of the
Kazakhstani model of the labor market. On the basis of a comparative analysis of the use of a number of
techniques, a specific method for predicting an ORS was proposed, the approbation of which on materials
from Kazakhstan confirmed the high accuracy of the forecast of the indicator under consideration.
Our analysis was carried out on the basis of statistical data of the Committee on Statistics of the
Ministry of National Economy of the Republic of Kazakhstan, reflecting the development of the country’s
economy for 2005-2016. The choice of this period of time from a methodological position is also not
accidental, it was during this period that the country’s economy experienced two crises with an interval
of 6-8 years, which in principle is characteristic of a market economy.
At the same time, the problem of searching for a new model of economic growth was clearly revealed.
Accelerated technological modernization of the economy is recognized as the main priority in
the implementation of the third modernization of Kazakhstan, which implies the mobilization of other
opportunities, including the modernization of the labor market. In order for the modernized labor market
to really become a factor of dynamic growth of the economy, it is necessary to achieve an accurate
forecast of labor market indicators, in particular, the demand and supply of labor. This will reduce management
costs, provide targeted social support to the unemployed and prevent social tensions in society.

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Published

2018-12-25