The influence of social and economic factors on the emergence of inequality in the regions of Kazakhstan

Abstract

Object: the aim of current study is to analyze the impact of social and economic factors on the emergence of inequality in the regions of Kazakhstan based on the regression analysis.
Methods: to achieve the purpose of the study, regression analysis of social and economic factors on the Ginny coefficient was used for four regions of Kazakhstan: Akmola, Aktobe, Karaganda and East Kazakhstan regions. In addition, comparative analysis and statistical analysis were used. Data from the Bureau of National Statistics from 2001 to 2021 were used.
Findings: in the case of Akmola, regression analysis shows that the F value of the model is statistically significant (Sig. = 0.017), which indicates that the model matches the data well. The coefficient Akm_PR is also significant, with a positive value of 0.016. This suggests that there is a statistically significant positive relationship between the variable Akm_PR and the Gini coefficient (Akm_Gini) in the Akmola region. In the Aktobe region, there is a statistically significant positive relationship between the variable Akt_HCE and the Gini coefficient (Akt_Gini). No statistically significant links were found in Karaganda. And in the East Kazakhstan region there is a statistically significant positive relationship between the variable EKZ_GRP and the Gini coefficient (EKZ_Gini).
Conclusions: the study showed that the level of regional inequality varies significantly in different regions of Kazakhstan. East Kazakhstan has the highest level of inequality, while in Akmola, Aktobe and Karaganda regions inequality is more moderate. The results of the regression analysis also showed that the influence of independent variables on the level of inequality varies in different regions.