Efficiency of government educational policy: impact of migration
Abstract
Introduction. According to the document "Transforming our world: Agenda for sustainable development until 2030" adopted at the UN Summit on Sustainable Development, Ukraine has committed to 169 tasks under 17 goals by 2030. One of the goals of sustainable development is to provide equal experience in quality education, including lifelong learning.
The aim of the study is determining the impact of migration processes on the level of higher education coverage in Ukraine.
Research methods. To achieve the paper’s aim, the authors applied the following methods and tools: to assess stationarity - tests of Dickie Fuller (information criterion Akaike) and Phillips Perron (criterion Bartlett Kernel), to assess the integration of data - Johansen test, to identify factors influencing the study on the result - ECM-modeling.
Results. The obtained results give grounds to conclude that a 5% level of statistical significance of the growth of public spending on education, GDP per capita and remittances from abroad lead to an increase in the level of higher education in Ukraine. Thus, the hypothesis of a statistically significant impact of migration processes and education expenditures on the level of higher education coverage is confirmed. In this case, the authors highlight that Ukrainian government should develop adjusting policies to improve the effectiveness of public policy on migration management and increase the share of education spending in the country. However, it should be noted that the population growth rate negatively affects the level of higher education coverage.
Perspectives. Further research is needed to determine the strength of the impact of average wages, unemployment, environmental conditions, social progress and others factors on migration processes as determinants of improving the education in the country and achieving sustainable development goals.
Keywords
References
Sustainable development goals. Retrieved from: https://sdgs.un.org/goals.
State Statistic Service of Ukraine. (2020). Retrieved from: http://www.ukrstat.gov.ua.
Scopus. (2020). Retrieved from: https://www.scopus.com.
Nawrotzki, R. J., Riosmena, F., & Hunter, L. M. (2013). Do rainfall deficits predict US-bound migration from rural Mexico? Evidence from the Mexican census. Population research and policy review, 32(1), 129-158.
Bertram, G. (1993). Sustainability, aid, and material welfare in small South Pacific Island economies, 1900–1990. World Development, 21(2), 247-258.
Button, K. J., & Vega, H. (2008). The effects of air transportation on the movement of labor. GeoJournal, 71(1), 67-81.
Maconachie, R., Binns, T., Tengbe, P., & Johnson, R. (2006). Temporary labour migration and sustainable post-conflict return in Sierra Leone. GeoJournal, 67(3), 223-240.
Gan, X., Zuo, J., Chang, R., Li, D., & Zillante, G. (2016). Exploring the determinants of migrant workers' housing tenure choice towards public rental housing: A case study in Chongqing, China. Habitat International, 58, 118-126.
Lam, T., & Yeoh, B. S. (2019). Parental migration and disruptions in everyday life: reactions of left-behind children in Southeast Asia. Journal of ethnic and migration studies, 45(16), 3085-3104.
Ge, D., Long, H., Qiao, W., Wang, Z., Sun, D., & Yang, R. (2020). Effects of rural–urban migration on agricultural transformation: A case of Yucheng City, China. Journal of Rural Studies, 76, 85-95.
Yang, H., F. Lupi, J. Zhang, X. Chen, and J. Liu. 2018. Feedback of telecoupling: the case of a payments for ecosystem services program. Ecology and Society/ 23(2):45. https://doi.org/10.5751/ES-10140-230245.
Qin, H., & Liao, T. F. (2016). The association between rural–urban migration flows and urban air quality in China. Regional Environmental Change, 16(5), 1375-1387.
Reddy, M., Mohanty, M., & Naidu, V. (2004). Economic cost of human capital loss from Fiji: Implications for sustainable development. International Migration Review, 38(4), 1447-1461.
World Bank Open Data. (2020). Retrieved from: https://data.worldbank.org.
Pesaran, M. H. (1997). The role of economic theory in modeling the long-run. The Economic Journal, 10, 178-191.
DOI: http://dx.doi.org/10.35774/econa2021.01.289
Article Metrics
Metrics powered by PLOS ALM
Refbacks
- There are currently no refbacks.
Copyright (c) 2021 Denis Pudryk, Oleksii Kwilinski, Tetjana Vasylyna

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Articles are distributed under Creative Commons Attribution International 4.0 (CC-BY-NC 4.0)
Science Works Journal "Ekonomichnyy analiz"
ISSN 1993-0259 (Print) ISSN 2219-4649 (Online) DOI: 10.35774/econa
© West Ukrainian National University
© «Ekonomichnyy analiz», 2007-2023