IDEAS home Printed from https://ideas.repec.org/a/spr/inrvec/v73y2026i2d10.1007_s12232-026-00541-1.html

The quality of educational services in regional schools of Kazakhstan and its impact on human development: the role of budgetary financing

Author

Listed:
  • Ainur Bodykova

    (Korkyt Ata Kyzylorda University, Department of Economics and Management)

  • Almakul Abdimomynova

    (Korkyt Ata Kyzylorda University, Department of Economics and Management)

  • Aleksey Shinkevich

    (Kazan National Research Technological University, Department of Logistics and Management)

  • Abay Shainurov

    (Korkyt Ata Kyzylorda University, Department of Economics and Management)

Abstract

This study examines regional differences in the efficiency of public secondary education spending in Kazakhstan and explores how budgetary financing relates to education quality and human development. The analysis responds to the limited empirical evidence on subnational efficiency and spatial interdependencies in education systems characterized by high territorial diversity. The study applies a quantitative research design combining Data Envelopment Analysis (DEA) with variable returns to scale and spatial econometric techniques. Regions are treated as decision-making units to estimate the relative efficiency of budget utilization in secondary education. Spatial dependence is examined using the Spatial Durbin Model and global and local Moran’s I statistics. The analysis relies on official regional statistics for the period 2020–2024 and survey data collected from 5000 respondents across all regions of Kazakhstan. The results reveal substantial regional variation in the efficiency of public education spending. Several regions display significant input and output slacks, indicating untapped potential for improving outcomes without increasing resources. Bootstrap-corrected DEA estimates show that formal efficiency scores often mask latent inefficiencies. Spatial regression results do not identify statistically significant short-term associations between funding levels, education quality, and human development. However, spatial autocorrelation analysis reveals strong clustering in human development indicators, while education quality perceptions exhibit weaker spatial patterns. The findings indicate that increased funding alone does not guarantee higher efficiency or improved human development outcomes. The study highlights the importance of effective resource allocation and management at the regional level.

Suggested Citation

  • Ainur Bodykova & Almakul Abdimomynova & Aleksey Shinkevich & Abay Shainurov, 2026. "The quality of educational services in regional schools of Kazakhstan and its impact on human development: the role of budgetary financing," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 73(2), pages 1-29, December.
  • Handle: RePEc:spr:inrvec:v:73:y:2026:i:2:d:10.1007_s12232-026-00541-1
    DOI: 10.1007/s12232-026-00541-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12232-026-00541-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12232-026-00541-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:inrvec:v:73:y:2026:i:2:d:10.1007_s12232-026-00541-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.