Workforce economy, social and economic policy

Structural modeling as a tool for assessing mechanisms of targeted social assistance in Kazakhstan

Economic Annals-XXI

Economic Annals-XXI: Volume 207, Issue (1-2), Pages: 50-58

Citation information:
Zhailauov, Ye., Pritvorova, T., Kenzhebekov, N., Atabayeva, A., & Bektleeva, D. (2024). Structural modeling as a tool for assessing mechanisms of targeted social assistance in Kazakhstan. Economic Annals-XXI, 207(1-2), 50-58. doi: https://doi.org/10.21003/ea.V207-08

EA-XXI-V207-08Download PDF

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

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

Nurzhan Kenzhebekov
PhD (Economics),
Head, Laboratory of Socio-Economic Research,
Karaganda University of Kazpotrebsoyuz
9 Akademicheskaya Str., Karaganda, 100000, Republic of Kazakhstan
kenzhebekov@mail.ru
ORCID ID: https://orcid.org/0000-0002-1292-8653

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

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

Structural modeling as a tool for assessing mechanisms of targeted social assistance in Kazakhstan

Abstract. In our research, we assess the mechanisms of targeted social assistance in Kazakhstan based on the processing of the results of a social poll of civil servants accepting applications for payments, using the Partial Least Squares Path Modeling (PLS-PM). The model allows building complex multidimensional relationships between observed and latent variables. We established a relationship between a set of indicators of the system’s effectiveness as a dependent variable, and factors of direct influence, methods and tools for ensuring targeting as independent variables. A number of problems in the current system of targeted social assistance were identified, concerning its target guidelines, the balance of benefits and obligations, the institutional environment, and specific recommendations for overcoming them were prepared.

Keywords: Conditional Cash Transfer; Employable Beneficiary; Regression Method; Employee; Unemployed; Employment Project; Targeted Social Assistance; Unconditional Cash Transfers; Conditional Cash Transfers

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.V207-08

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Received 2.10.2023
Received in revised form 29.10.2023
Accepted 4.11.2023
Available online 22.02.2024

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