Workforce economy, social and economic policy

Employable beneficiaries of conditional cash assistance in Kazakhstan: labor market statuses and activation measures

Economic Annals-XXI

Economic Annals-XXI: Volume 206, Issue (11-12), Pages: 10-17

Citation information:
Bektleeva, D., Pritvorova, T., Atabayeva, A., & Zhailauov, Ye. (2023). Employable beneficiaries of conditional cash assistance in Kazakhstan: labor market statuses and activation measures. Economic Annals-XXI, 206(11-12), 10-17. doi: https://doi.org/10.21003/ea.V206-02

EA-XXI-V206-02Download PDF

Dina Bektleeva
PhD (Economics),
Associate Professor,
Chief Specialist,
Department of Organization of Research Work,
Esil University
7 Akhmet Zhubanov Str., Astana, 010000, Republic of Kazakhstan
dinabek@mail.ru
ORCID ID: https://orcid.org/0000-0003-2829-279X

Tatyana Pritvorova
D.Sc. (Economics),
Chief Scientific Officer,
«RATIONAL SOLUTION» LLP
23/7 Shakhterov Ave., office 10, Karaganda, 100026, Republic of Kazakhstan
pritvorova_@mail.ru
ORCID ID: https://orcid.org/0000-0002-6306-3960

Assiya Atabayeva
PhD (Economics),
Department of Accounting and Audit,
Karaganda Buketov University
28 University Str., Karaganda, 100024, Republic of Kazakhstan
atabayeva_assiya_1@buketov.edu.kz
ORCID ID: https://orcid.org/0000-0002-4644-1843

Yerlan Zhailauov
PhD (Economics),
Director,
«RATIONAL SOLUTION» LLP
23/7 Shakhterov Ave., office 10, Karaganda, 100026, Republic of Kazakhstan
zhailauov@rationalsolution.kz 
ORCID ID: https://orcid.org/0000-0002-0609-6256

Employable beneficiaries of conditional cash assistance in Kazakhstan: labor market statuses and activation measures

Abstract. In this research, we evaluate the impact of the initial status of beneficiaries in the labor market and in employment promotion projects on the total number of employable applicants entering the conditional cash assistance program in Kazakhstan. The authors applied the economic and statistical method of structure analysis and the ordinary least squares (OLS) to construct a multiple regression, which showed that the influence of the initial status at the entrance to the program has a stronger impact on the total number of employable beneficiaries of assistance than the efforts made by employment services to send applicants to employment promotion projects. It was proved that applicants who register in the program as unemployed eventually decrease, and job seekers who have jobs increase the total number of employable participants in the program. In accordance with the results obtained, directions for further research and measures to improve the effectiveness of the conditional cash assistance program were proposed.

Keywords: Conditional Cash Transfers; Employable Beneficiaries; Regression Method; Employees; Unemployed; Employment Projects

JEL Classification: I31; I38

Acknowledgements and Funding: This research has been funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant No. BR18574225).

Contribution: The authors contributed equally to this work.

Data Availability Statement: The dataset is available from the authors upon request.

DOI: https://doi.org/10.21003/ea.V206-02

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Received 28.10.2023
Received in revised form 19.11.2023
Accepted 23.11.2023
Available online 29.12.2023

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