Conditional Cash Transfers in Kazakhstan: Dynamics and Regional Profiles

The study used economic and statistical methods of analysis (calculation of specific and average values, coefficient of variation, data ranking), cluster analysis based on the k-mean link method.Authors divided the parameters of program participants in the official information base into socio-demographic and organizational and managerial.In the medium term, the program increased its focus on large families with children, the specific indicator of "full-time students" increased, which indicates improved conditions for the formation of human capital of children.There is a vector of movement of regions towards homogeneity in terms of specific socio-demographic indicators per family and an increase in heterogeneity in terms of participation in active employment measures.Using cluster and economicstatistical analysis, three types of regional profiles were identified.The profiles are clearly linked to the economic space and types of demographic behavior.The first type includes the northern and central regions, characterized by low demographic parameters, high unemployment and active participation in employment measures.The second type is represented by large agglomerations of Kazakhstan with average demographic indicators, low unemployment rates and a high number of workers per family.It is advisable to direct active employment measures to improve the skills of workers to increase their wage level.The third type is represented by five regions with high levels of demographic behavior indicators.In this type, there is also the problem of low qualifications of employees with low wages and the problem of unemployment.For the southern regions, it is advisable to stimulate resettlement to the central ones and introduce subsidies for preschool services instead of a cash transfer.