The Level of Development of the Socio-Economic Indicators of the Abay Region: Methods and Analysis
https://doi.org/10.47703/ejebs.v2i67.286
Abstract
This descriptive work is aimed at studying at the micro level the socio-demographic indicators of the Abay region of Kazakhstan. The literature review highlights the importance of population dynamics, education, health care and internal migration for sustainable development in the region and in the country. The study also uses the fuzzy set method for several aspects of the selected indicators. Secondary data for 2010-2020 are taken from an open source - the Bureau of National Statistics and were used to identify negative trends and contradictions. The results showed that over the past 10 years there are negative trends in the region in terms of indicators: a high level of emigration, a shortage of able-bodied population, an increase in the number of schoolchildren with a constant number of schools, and a negative trend in hospital organizations. Beskaragai and Borodulikha districts natural population growth decreased by 62 percent. The number of schools in the region has slightly decreased, while in Semey (23%), Kurchatov district (30%) and Ayagoz (1.54%) district there is an increase in school enrollment. In Abay and Kokpekty districts, there is a decrease in the number of schools enrollment (-10% and -16%). The number of hospital beds has decreased significantly in most districts (more than 30 percent in half of the districts). In general, this article contributes to a deeper understanding of the socio-demographic dynamics of the Abai region. The results obtained can be used in making political decisions related to population regulation and economic development in each region.
Keywords
Supporting agencies: This research has been/was/is funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant "Strategy for sustainable regional development based on the principles of forming a smart and digital ecosystem of cities in Kazakhstan " No. AP19574739).
About the Authors
Anna Kredina
K.Sagadiyev University of International Business, Almaty
Kazakhstan
Kazakhstan
PhD Candidate, Finance and Accounting Chair, Email: anna.kredina@uib.kz
Leila Mardenova
K.Sagadiyev University of International Business, Almaty
Kazakhstan
Kazakhstan
PhD Candidate, Management and Business Chair, Email: mardenova.lei@uib.kz
Alexander Tsoy
K.Sagadiyev University of International Business, Almaty
Kazakhstan
Kazakhstan
Researcher, Email: alt-kct@mail.ru
References
1. Anghelache, C., Anghel, M., Iacob, Ș. V., Panait, M., Radulescu, I. R., Brezoi, A., & Miron, A. (2022). The Effects of Health Crisis on Economic Growth, Health and Movement of Population. Sustainability, 14(8), 4613. https://doi.org/10.3390/su14084613
2. Bacorn, C., Serrano, M., & Lin, L. (2022). Review of sociodemographic risk factors for presentation with advanced non-melanoma skin cancer. Orbit, 1–6. https://doi.org/10.1080/01676830.2022.2123930
3. Baydybekova, S., & Sauranbay, S. B. (2022). The Role of Human Capital in the Economic Development of Countries. Economics: Strategy anf Practice, 17(2), 111–125. https://doi.org/10.51176/1997-9967-2022-2-111-125
4. Burde, D., Kapit, A., Wahl, R., Guven, O., & Skarpeteig, M. I. (2017). Education in Emergencies: A Review of Theory and Research. Review of Educational Research, 87(3), 619–658. https://doi.org/10.3102/0034654316671594
5. Bureau of National Statistics (2023). [cited March 30, 2023]. Available: http://www.stat.gov.kz (in Russ.)
6. Card, D., Domnisoru, C., & Taylor, L. J. (2022). The Intergenerational Transmission of Human Capital: Evidence from the Golden Age of Upward Mobility. Journal of Labor Economics, 40(S1), S39–S95. https://doi.org/10.1086/718417
7. Capello, R. (2007). A forecasting territorial model of regional growth: the MASST model. Annals of Regional Science, 41(4), 753–787. https://doi.org/10.1007/s00168-007-0146-2
8. Cook, L. J., Iarskaia-Smirnova, E. R., & Kozlov, V. A. (2022). Trying to Reverse Demographic Decline: Pro-Natalist and Family Policies in Russia, Poland and Hungary. Social Policy and Society, 1–21. https://doi.org/10.1017/s1474746422000628
9. Deming, D. J. (2022). Four Facts about Human Capital. Journal of Economic Perspectives, 36(3), 75–102. https://doi.org/10.1257/jep.36.3.75
10. Fang, C., Cui, X., Li, G., Bao, C., Wang, Q., Ma, H., Sun, S., Liu, H., Luo, K., & Ren, Y. (2019). Modeling regional sustainable development scenarios using the Urbanization and Eco-environment Coupler: Case study of Beijing-Tianjin-Hebei urban agglomeration, China. Science of the Total Environment, 689, 820–830. https://doi.org/10.1016/j.scitotenv.2019.06.430
11. Health Systems Reviews: Kazakhstan 2018 (2018). In OECD eBooks. https://doi.org/10.1787/9789264292895-ru (in Russ.)
12. Khan, N., Islam, M. S., Shariff, A. A., Alam, M. M., & Kurasaki, M. (2017). Socio-demographic predictors and average annual rates of caesarean section in Bangladesh between 2004 and 2014. PLOS ONE, 12(5), e0177579. https://doi.org/10.1371/journal.pone.0177579
13. Kibayeva, A., Tussupova, L., & Gize, R. (2022). Method of human capital assessment in the digital economy of Kazakhstan. “Tu̇Ran” Universitetìnìn̦ Habarsysy, 2, 261–267. https://doi.org/10.46914/1562-2959-2022-1-2-261-267
14. Kireyeva, A. A., Nurlanova, N. K., Kenzhegulova, G., & Kenzheali, Y. (2022). Assessment of the Level of Depression and Vulnerability of Settlements: on the Example of the Regions of Western Kazakhstan. Qainar Journal of Social Science, 1(4), 35–48. https://doi.org/10.58732/2958-7212-2022-4-35-48
15. Kudaibergenova, D. T., & Laruelle, M. (2022). Making sense of the January 2022 protests in Kazakhstan: failing legitimacy, culture of protests, and elite readjustments. Post-soviet Affairs, 38(6), 441–459. https://doi.org/10.1080/1060586x.2022.2077060
16. Lee, J. Y., & Lubienski, C. (2017). The Impact of School Closures on Equity of Access in Chicago. Education and Urban Society, 49(1), 53–80. https://doi.org/10.1177/0013124516630601
17. Lyratzopoulos, G., Abel, G., Brown, C. M., Rous, B., Vernon, S. A., Roland, M., & Greenberg, D. R. (2013). Socio-demographic inequalities in stage of cancer diagnosis: evidence from patients with female breast, lung, colon, rectal, prostate, renal, bladder, melanoma, ovarian and endometrial cancer. Annals of Oncology, 24(3), 843–850. https://doi.org/10.1093/annonc/mds526
18. Lyons, T., & Ewing, R. (2021). Does transit moderate spatial mismatch? The effects of transit and compactness on regional economic outcomes. Cities, 113, 103160. https://doi.org/10.1016/j.cities.2021.103160
19. Mansurova, G. (2015). Depressed regions: basic concepts and causes of transition to a depressed state. Bulletin of Ulyanovsk Technical State University, 69(1), 65–68. (in Russ.)
20. Milenković, N., Vukmirović, J., Bulajic, M., & Radojicic, Z. (2014). A multivariate approach in measuring socio-economic development of MENA countries. Economic Modelling, 38, 604–608. https://doi.org/10.1016/j.econmod.2014.02.011
21. Myers, R., & Hansen, C. (2020). Revisiting A Theory of Access: A review. Society & Natural Resources, 33(2), 146–166. https://doi.org/10.1080/08941920.2018.1560522
22. Piscitello, J., Kim, Y. H., Orooji, M., & Robison, S. B. (2021). Sociodemographic risk, school engagement, and community characteristics: A mediated approach to understanding high school dropout. Children and Youth Services Review, 133, 106347. https://doi.org/10.1016/j.childyouth.2021.106347
23. Pou, S. A., Del Pilar Díaz, M., Velázquez, G. A., & Aballay, L. R. (2021). Sociodemographic disparities and contextual factors in obesity: updated evidence from a National Survey of Risk Factors for Chronic Diseases. Public Health Nutrition, 25(12), 3377–3389. https://doi.org/10.1017/s1368980021004924
24. Sagadiev, K. (2004). Economy of Kazakhstan: Essays on Current Issues. (in Russ.)
25. Salzhanova, Z. S., & Gelashvili, N. N. (2017). Analysis of disproportions of the socio-economic development of the regions of the Republic of Kazakhstan. Vestnik of Adygei State University. Serie 5: Economics. (in Russ.)
26. Sermagambet, U., Satpayeva, Z. T., Smagulova, G., Urban, W., & Yessenzhigitova, R. (2022). Socio-economic inequality in Kazakhstani regions: Assessment and impact on regional development management. Problems and Perspectives in Management, 20(3), 487–500. https://doi.org/10.21511/ppm.20(3).2022.39
27. Simonyan, R. H. (2017). Migration attitudes of Russian youth: A regional dimension. Monitoring of Public Opinion: Economic and Social Changes, 6, 313-326. https://doi.org/10.14515/monitoring.2017.6.16
28. Spankulova, L., Karatayev, M., & Clarke, M. L. (2020). Trends in Socioeconomic Health Inequalities in Kazakhstan. Communist and Post-communist Studies, 53(2), 177–190. https://doi.org/10.1525/cpcs.2020.53.2.177
29. Stasiūnienė, J., Justickis, V., & Jasulaitis, A. (2015). Newborn Murder and its Legal Prevention. Sveikatos Politika Ir Valdymas, 1(8), 91. https://doi.org/10.13165/spv-15-1-8-05
30. Tandrayen-Ragoobur, V., & Narsoo, J. (2022). Early human capital: the driving force to economic growth in island economies. International Journal of Social Economics, 49(11), 1680–1695. https://doi.org/10.1108/ijse-11-2021-0674
31. Temirova A.B., & Abdimomynova A.Sh. (2016). Socio-economic differentiation of the regions of the Republic of Kazakhstan. Vestnik of the Peoples' Friendship University of Russia. Series: Economics, 1, 58-69. (in Russ.)
32. Vigl, M., Niggemeyer, E., Hager, A., Schwedler, G., Kropf, S., & Bauer, U. M. M. (2011). The importance of socio-demographic factors for the quality of life of adults with congenital heart disease. Quality of Life Research, 20(2), 169–177. https://doi.org/10.1007/s11136-010-9741-2
33. Zhang, Y., Kumar, S., Huang, X., & Yuan, Y. (2023). Human capital quality and the regional economic growth: Evidence from China. Journal of Asian Economics, 86, 101593. https://doi.org/10.1016/j.asieco.2023.101593
Review
For citations:
Kredina A., Mardenova L., Tsoy A. The Level of Development of the Socio-Economic Indicators of the Abay Region: Methods and Analysis. Eurasian Journal of Economic and Business Studies. 2023;67(2):79-93. https://doi.org/10.47703/ejebs.v2i67.286
Views:
51
JATS XML
Email this article 