Relationship between determinants of higher education and economic development: The case of Kazakhstan
-
Author(s)Shyngys KarabayevLink to ORCID Index: https://orcid.org/0000-0003-4490-1460
,
Kuralay NurgaliyevaLink to ORCID Index: https://orcid.org/0000-0002-9646-4955
,
Anna KredinaLink to ORCID Index: https://orcid.org/0000-0002-7682-2727
,
Makpal BekturganovaLink to ORCID Index: https://orcid.org/0000-0003-1708-8208
,
Yerkara AimagambetovLink to ORCID Index: https://orcid.org/0000-0003-1036-4441
-
DOIhttp://dx.doi.org/10.21511/ppm.21(1).2023.29
-
Article InfoVolume 21 2023, Issue #1, pp. 336-351
- Cited by
- 477 Views
-
210 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
This study aims to examine the relationship between higher education and economic development determinants in Kazakhstan’s regions. The paper used two sets of indicators of three-time series: 2010, 2015, and 2020. The analysis constructed a correlation using a panel dataset for 15 regions of Kazakhstan compiled by the Statistics Bureau of Kazakhstan and the National Bank. The first set reflects the determinants of higher education (number of students in colleges and universities, number of teaching staff, and the existing ICT infrastructure in universities). The second set includes indicators of regional economic development (GRP per capita and the population’s income level). The results showed a causal relationship between economic development and the determinants of higher education in the regions of Kazakhstan, which depend on the period. Surprisingly, the number of university students has almost no effect on GRP per capita and the population’s income level. For 2015–2020, the study observed the emergence and strengthening of correlations between economic growth and the development of innovations in universities. The findings also identified Mangystau, Atyrau, North Kazakhstan, and Pavlodar as regions with low innovation development in education. Therefore, the country’s higher education development policy should encourage and strengthen knowledge management systems in these regions. The study concludes that higher education and economic indicators significantly influence the growth of the economy in Kazakhstan.
Acknowledgment
The study was carried out within the framework of program-targeted IRN BR18574240 funding by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan “Development Strategy of Kazakhstan Regional Potential: Assessment of Socio-Cultural and Economic Potentials, Roadmap, Models and Scenarios Planning”.
- Keywords
-
JEL Classification (Paper profile tab)I21, I25, I26
-
References51
-
Tables6
-
Figures2
-
- Figure 1. Dynamics of GRP development in the regions of Kazakhstan for 2010, 2015, and 2020
- Figure 2. P-plots
-
- Table 1. Selected measurement variables used in the correlation analysis
- Table 2. Dynamics of changes in the number of university students for 2010–2020
- Table 3. Indicators of accessible ICT infrastructure at colleges and universities by regions
- Table 4. Spearman’s rho Correlation matrix – 2010 / Sig. (2-tailed)
- Table 5. Spearman’s rho Correlation matrix – 2015 / Sig. (2-tailed)
- Table 6. Spearman’s rho Correlation matrix – 2020 / Sig. (2-tailed)
-
- Adams, J. D. (2002). Comparative localization of academic and industrial spillovers. Journal of Economic Geography, 2(3), 253-278.
- Allen, J., & van der Velden, R. (2001). Educational mismatches versus skill mismatches: Effects on wages, job satisfaction, and on-the-job search. Oxford Economic Papers, 53(3), 434-452.
- Athiyaman, A. (1997). Linking student satisfaction and service quality perceptions: The case of university education. European Journal of Marketing, 31(7), 528-540.
- Bilbao-Osorio, B., & Rodríguez-Pose, A. (2004). From R&D to innovation and economic growth in the EU. Growth and Change, 35(4), 434-455.
- Bostan, A., & Akman, I. (2015). Impact of education on security practices in ICT. Tehnicki Vjesnik-Technical Gazette, 22(1), 161-168.
- Brueckner, M., Long, N. V., & Vespignani, J. (2022). Trade, education, and income inequality. Applied Economics, 54(40), 4608-4631.
- Budsayaplakorna, S., & Sompornserma, Th. (2021). Human capital development via education and economic growth in ASEAN economic community. Kasetsart Journal of Social Sciences, 42(3), 473-481.
- Bureau of National Statistics. (2022). Annual statistical collections of the Republic of Kazakhstan.
- Cai, L., & Zhu, Y. (2015). The challenges of data quality and data quality assessment in the big data era. Data Science Journal, 14.
- Chekina, V., & Vorhach, O. (2020). The impact of education expenditures on economic growth: Empirical estimation. Economy of Industry, 3(91).
- Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128-152.
- Davila, C. D., Mora, J. G., Perez, P. J., & Vila, L. E. (2016). Enhancing the development of competencies: The role of UBC. European Journal of Education, 51(1), 10-24.
- Dickson, M., & Harmon, C. (2011). Economic returns to education: What we know, what we don’t know, and where we are going-some brief pointers. Economics of Education Review, 30(6), 1118-1122.
- Dudzevičiūtė, G., & Šimelytė, A. (2018). Education and economic development in the selected European Union countries. European Journal of Sustainable Development, 7(2), 14-28.
- Fauville, G., Lantz-Andersson, A., & Säljö, R. (2014). ICT tools in environmental education: Reviewing two newcomers to schools. Environmental Education Research 20(2), 248-283.
- Feng, J., Prajogo, D. I., Tan, K. C., & Sohal, A. S. (2006). The impact of TQM practices on performance: A comparative study between Australian and Singaporean organizations. European Journal of Innovation Management, 9(3), 269-278.
- Gulden, M., Saltanat, K., Raigul, D., Dauren, T., Assel, A., & Foroudi, P. (rev.ed.). (2020). Quality management of higher education: Innovation approach from perspectives of institutionalism. An exploratory literature review. Cogent Business & Management, 7(1), 1749217.
- Hanushek, E. A. (2016). Will more higher education improve economic growth? Oxford Review of Economic Policy, 32(4), 538-552.
- Harmon, C., Oosterbeek, H., & Walker, I. (2003). The returns to education: Microeconomics. Journal of Economic Surveys, 17(2), 115-156.
- Hartog, J. (2000). Human capital as an instrument of analysis for the economics of education. European Journal of Education, 35(1), 7-20.
- Heijke, H., Meng, C., & Ramaekers, G. (2003). An investigation into the role of human capital competences and their pay-off. International Journal of Manpower, 24(7), 750-773.
- Herinoto, H., Rachmad R. M., & Zulfanetti, Z. (2021). Faktor penentu indeks pembangunan manusia dan hubungannya dengan belanja infrastruktur serta pertumbuhan ekonomi Kabupaten/Kota Provinsi Jambi. Jurnal Paradigma Ekonomika, 16(2), 343-358. (In Indonesian).
- Hill, C. B. (2016). American higher education and income inequality. Education Finance and Policy, 11(3), 325-339.
- Holmes, C. (2013). Has the expansion of higher education led to greater economic growth? National Institute Economic Review, 224(1), R29-R47.
- Jelito, D., & Pitera, M. (2021). New fat-tail normality test based on conditional second moments with applications to finance. Statistical Papers, 62(5), 2083-2108.
- Kireyeva, A., Satpayeva, Z., & Urdabayev, M. (2022). Analysis of the digital readiness and the level of the ICT development in Kazakhstan’s regions. Economy of Region, 18(2), 464-478.
- Knabb, S. D., & Stoddard, C. (2005). The quality of education, educational institutions, and cross-country differences in human capital accumulation. Growth and Change, 36(3), 354-373.
- Lentjushenkova, O. (2021). Human capital development at higher education institutions. Economics and Culture, 18(2), 5-14.
- Liu, J., & Bi, Ch. (2019). Effects of higher education levels on total factor productivity growth. Sustainability, 11(16), 1790.
- Lytvynenko, V., Kryvoruchko, O., Lurie, I., Savina, N., Naumov, O., & Voronenko, M. (2020). Comparative studies of self-organizing algorithms for forecasting economic parameters. International Journal of Modern Education and Computer Science, 12(6), 1-15.
- Mamuli, C. (2020). Human capital development and higher education. European Business & Management, 6(4), 61-66.
- Manarbek, G., Kondybayeva, S., Doszhan, R., Turarov, D., & Assel, A. (2020). Quality management of higher education: Innovation approach from perspectives of institutionalism. An exploratory literature review. Cogent Business & Management, 7(1), 1-21.
- Mehta, N., Verma, P., & Seth, N. (2014). Total quality management implementation in engineering education in India: An interpretive structural modelling approach. Total Quality Management and Business Excellence, 25(1-2), 124-140.
- Ott, M., & Pozzi, F. (2011). Towards a new era for cultural heritage education: Discussing the role of ICT. Computers in Human Behavior, 27(4), 1365-1371.
- Ottestad, G. (2010). Innovative pedagogical practice with ICT in three Nordic countries – Differences and similarities. Journal of Computer Assisted Learning, 26(6), 478-491.
- Ozmen, F. (2013). Virtual communities of practices (VCoPs) for ensuring innovation at universities – Firat university sample. Eurasian Journal of Educational Research, 13(53), 131-150.
- Pencavel, J. (1991). Higher education, productivity, and earnings: A review. The Journal of Economic Education, 22(4), 331-359.
- Peric, A. (2011). ICT and the new generations of professionals: Are we on the threshold of a change? Technics Technologies Education Management, 6(1), 130-139.
- Perrota, C. (2021). Programming the platform university: Learning analytics and predictive infrastructures in higher education. Research in Education, 109(1), 53-71.
- Rauch, J. E. (1993). Productivity gains from geographic concentration of human capital: Evidence from the cities. Journal of Urban Economics, 34(3), 380-400.
- Ricoy, M-C., & Fernandez-Rodriguez, J. (2013). Contributions and controversies generated by the use of ICT in higher education: A case study. Revista de Educacion, 360, 509-532.
- Sahoo, S. (2019). Quality management, innovation capability and firm performance: Empirical insights from Indian manufacturing SMEs. The TQM Journal, 31(6), 1003-1027.
- Saviottia, P., Pykac, A., & Jun, B. (2016). Education, structural change and economic development. Structural Change and Economic Dynamics, 38, 55-68.
- Segarra-Cipres, M., Escrig-Tena, A. B., & García-Juan, B. (2020). The link between quality management and innovation performance: A content analysis of survey-based research. Total Quality Management & Business Excellence, 31(1-2), 1-22.
- Selwyn, N. (2008). Realising the potential of new technology? Assessing the legacy of New Labour’s ICT agenda 1997–2007. Oxford Review of Education, 34(6), 701-712.
- Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3/4), 591-611.
- Sun, B., & Ning, X. (2016). The value and significance of education modernization for the construction of livable and happy city – The case study of Qingdao. The Review of Higher Education Journal, 12, 16-23.
- Tari, J. J., & Dick, G. (2016). Trends in quality management research in higher education institutions. Journal of Service Theory and Practice, 26(3), 273-296.
- Turlubekova, M. B., & Bugubayeva, R. (2021). Inclusive education in Kazakhstan: Analysis of the organizing process and the possibility of its further development. Central Asian Economic Review, 3, 89-109.
- Williamson, B. (2018). The hidden architecture of higher education: Building a big data infrastructure for the ‘smarter university’. International Journal of Educational Technology in Higher Education, 15, 1-26.
- Zeng, J., Anh Phan, C., & Matsui, Y. (2015). The impact of hard and soft quality management on quality and innovation performance: An empirical study. International Journal of Production Economics, 162, 216-226.
-
Impact on poverty and income inequality in Malaysia’s economic growth
Rabiul Islam ,
Ahmad Bashawir Abdul Ghani ,
Irwanshah Zainal Abidin ,
Jeya Malar Rayaiappan
doi: http://dx.doi.org/10.21511/ppm.15(1).2017.05
Problems and Perspectives in Management Volume 15, 2017 Issue #1 pp. 55-62 Views: 11279 Downloads: 5179 TO CITE АНОТАЦІЯPoverty and income inequality are extreme issues that still exist in Malaysia. Any rise in poverty and income inequality definitely affect economic growth. There are many great efforts taken by the government of Malaysia to eradicate poverty and to reduce the gap of income inequality which occurs since 1970’s. The incidence of poverty and income inequality is higher in rural areas compared to urban areas. This paper is mainly to study the level of poverty and income inequality in Malaysia together with government intervention to develop Malaysia’s economic growth. The research is focused among the working people at Ipoh, Perak. In this paper, questionnaire forms are being distributed to get information regarding the issue of poverty and income inequality. It also looks into the strategies taken by the government of Malaysia to eradicate poverty and income inequality. Few recommendations are given in terms of education policy, financial aid and assistance from government and non-government organization (NGO) to upgrade the standard and quality of living among the poor and lower-income group of people.
-
Impact of inflation on economic growth: evidence from Nigeria
Anthony Olugbenga Adaramola ,
Oluwabunmi Dada
doi: http://dx.doi.org/10.21511/imfi.17(2).2020.01
Investment Management and Financial Innovations Volume 17, 2020 Issue #2 pp. 1-13 Views: 8024 Downloads: 4884 TO CITE АНОТАЦІЯIn an attempt to examine the influence of inflation on the growth prospects of the Nigerian economy, the study employs the autoregressive distributed lag on the selected variables, i.e. real gross domestic product (GDP), inflation rate, interest rate, exchange rate, degree of economy`s openness, money supply, and government consumption expenditures for the period 1980–2018. The study findings indicate that inflation and real exchange rate exert a significant negative impact on economic growth, while interest rate and money supply indicate a positive and significant impact on economic growth. Other variables in the model depict no influence on the economic growth of Nigeria. The causality result shows the unidirectional relationships between interest rate, exchange rate, government consumption expenditures and gross domestic product. However, inflation and the degree of openness show no causal relationship with gross domestic product. As a result, the study recommends that a more pragmatic effort is needed by the monetary authorities to target the inflation vigorously to prevent its adverse effect by ensuring a tolerable rate that would stimulate the economic growth of Nigeria.
-
Formalization of the impact of imbalances in the movement of financial resources on economic growth of countries in Central and Eastern Europe
Serhiy Kozmenko ,
Maxim Korneyev
doi: http://dx.doi.org/10.21511/afc.01(1).2017.06
Accounting and Financial Control Volume 1, 2017 Issue #1 pp. 48-58 Views: 6225 Downloads: 1334 TO CITEThe article deals with the impact of financialization on economic growth in countries of Central and Eastern Europe. It determinesthe impact of imbalances in the movement of financial resources caused by financialization on economic growth of these countries. It proves that the implementation of measures aimed at increasing the openness of the economy and maintaining solvent demand have a positive impact on economic growth of the surveyed countries in the long run. It also proves the importance of developing a set of measures of strategic nature regulating imbalances in the movement of financial resources caused by financialization.
