Exploring the Dynamics of Human Capital and Economic Growth in Central Asian Countries: An Empirical Analysis Using Panel Data

This study examines the relationship between human capital and economic growth in five Central Asian countries: Uzbekistan, Kazakhstan, Turkmenistan, Kyrgyzstan and Tajikistan. We have selected the period from 2000 to 2023 for our analysis. This study evaluates the impact of various components of human capital—namely education, health expenditure, life expectancy, child mortality and labour productivity—on gross domestic product growth, employing panel data regression models based on data from the World Bank’s World Development Indicators. The empirical examination employed pooled ordinary least squares, fixed-effects (FE) and random-effects models, with the final model selected via the Hausman test, which indicated that the FE model was the most appropriate fit. We conducted several diagnostic tests to assess the model’s reliability; the modified Wald test indicated heteroscedasticity, whereas the Wooldridge test confirmed the absence of autocorrelation in the panel data. Furthermore, the absence of multicollinearity among the variables was validated through the variance inflation factor test. Based on these findings, we recommend that regional policymakers prioritize human capital development, allocate resources effectively and formulate economic policies grounded in institutional reforms.

Authors

Institutions

Publication Details

Journal
Global Business Review
Published
2026-01-30
DOI
https://doi.org/10.1177/09721509251415274
Primary Topic
Sociopolitical Dynamics in Nepal
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the Dynamics of Human Capital and Economic Growth in Central Asian Countries: An Empirical Analysis Using Panel Data

Ravshan Nurimbetov, Akmal Merojovich Amirov, Nurali U. Arabov, Ikrom Nasimov et al.
Global Business Review
Sociopolitical Dynamics in Nepal
article

Exploring the Dynamics of Human Capital and Economic Growth in Central Asian Countries: An Empirical Analysis Using Panel Data

Ravshan Nurimbetov, Akmal Merojovich Amirov, Nurali U. Arabov, Ikrom Nasimov, Habibullo Hasanov, Burkhon Boltaev
article en

Abstract

This study examines the relationship between human capital and economic growth in five Central Asian countries: Uzbekistan, Kazakhstan, Turkmenistan, Kyrgyzstan and Tajikistan. We have selected the period from 2000 to 2023 for our analysis. This study evaluates the impact of various components of human capital—namely education, health expenditure, life expectancy, child mortality and labour productivity—on gross domestic product growth, employing panel data regression models based on data from the World Bank’s World Development Indicators. The empirical examination employed pooled ordinary least squares, fixed-effects (FE) and random-effects models, with the final model selected via the Hausman test, which indicated that the FE model was the most appropriate fit. We conducted several diagnostic tests to assess the model’s reliability; the modified Wald test indicated heteroscedasticity, whereas the Wooldridge test confirmed the absence of autocorrelation in the panel data. Furthermore, the absence of multicollinearity among the variables was validated through the variance inflation factor test. Based on these findings, we recommend that regional policymakers prioritize human capital development, allocate resources effectively and formulate economic policies grounded in institutional reforms.

Global Business Review
Samarkand State University named after Sharof Rashidov (UZ), Bukhara State University (UZ), Tashkent Institute of Architecture and Civil Engineering (UZ), "Silk Road" International University of Tourism and Cultural Heritage (UZ)
Decent work and economic growth
Openalex Percentile: Top 78%
Sociopolitical Dynamics in Nepal
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.