The Analysis of the Determinants that Affect Education Expenditure in Low Income Countries and Lower Middle Income Countries

Main Article Content

Wisaruta Thongkamkaew
Anchana NaRanong
Athakrit Thepmongkol

Abstract

This research article aims to analyze key factors affecting primary and secondary education expenditures in low income countries and lower middle income countries and suggest the educational allocation in poor areas and the areas faced with inequalities. The researcher mainly used quantitative research supported by documentary research. The sample used in this research encompassed 45 countries from low income countries and lower middle income countries. The results showed that the government’s revenues significantlyaffected education expenditure at the  primary level. The government should manage an appropriate allocation to poor students who lack opportunities for receiving primary education. Also, high unemployment directly and significantly affected the educational expenditure at the secondary level. The government should provide secondary students with education, preparing them for enter the labor market, such as skill enhancement. Moreover, a low rate of corruption significantly affected the education expenditure at the secondary level. The
government should be able to fully manage the educational allocation for its country’s development.

Article Details

How to Cite
Thongkamkaew, W., NaRanong, A. ., & Thepmongkol, A. . (2021). The Analysis of the Determinants that Affect Education Expenditure in Low Income Countries and Lower Middle Income Countries. Parichart Journal, 34(1), 176–191. Retrieved from https://so05.tci-thaijo.org/index.php/parichartjournal/article/view/240196
Section
Research Articles
Author Biography

Wisaruta Thongkamkaew, School of Public Administration, National Institute of Development Administration

D.P.A. Student (Public Policy), School of Public Administration, National Institute of Development Administration.

References

Kongsri, N. (2017). From the MDGs to the SDGs, development goals change for sustainability. Retrieved February 13, 2018, from : https://sdgmove.com/2017/08/13/mdgstosdgs/. (In Thai)

Balatsky, E. (2012). Wagner’s Law, the Armey–Rahn Curve, and the Paradox of Wealth. Problems of Economic Transition, 54(12), 40–54.

Phutrakhul, P. (2018). Public expenditures in dimension of human capital development. Nakhon Lampang Buddhist College’s Journal, 7(1), 352–367. (In Thai)

OECD. (2010). Counter-cyclical economic policy. “OECD Economics Department Policy Notes, No. 1”. Economics Department Organisation for Economic Co-operation and Development.

Emily, B., & William, W. (2017). Globalization and human capital investment : Export composition drives educational attainment. Seminar participants at the NBER, March 30, 2017, 1-63.

Berthelemy, J. C. (2006). Globalization and challenges for education in least developed countries. Globalization and Education Pontifical Academy of Social Sciences, Extra Series 7, 166 – 190.

Lindert, P. H. (2004). Growing public : Social spending and economic growth since the eighteenth century. United States : University of California.

Thepsumroeng, A. (2019). The study of income distribution in Thailand : A case of GINI coefficient of household in 2009 – 2017. Journal of Social Development, 21(1), 41–58. (In Thai)

Easton, D. (1965). A Systems Analysis of Political Life. New York : Wiley.

Ulu, M. I. (2018). The effect of government social spending on income inequality in oecd: a panel data analysis. International Journal of Economics Politics Humanities and Social Sciences, 1(3), 183–202.

Lagravinese, G. C. R. (2012). Incentive effects on efficiency in education systems’ performance. ECINE, Working Paper Series 2012 – 270, October 2012, 1–21.

Jajkowicz, O., & Drobiszova, A. (2015). The effect of corruption on government expenditure allocation in OECD countries. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 63(4), 1251–1259.

Suryadarma, D. (2012). How corruption diminishes the effectiveness of public spending on education in Indonesia. Bulletin of Indonesian Economic Studies, 48(1), 85–100.

Timofeyev, Y. (2011). How corruption affects social expenditures : Evidence from Russia. Global Journal of Business Research, 5(4), 39–51.

CESifo DICE Report. (2011). The worldwide governance indicators (WGI). Retrieved April 11, 2019, from: https://www.cesifo-group.de/DocDL/dicereport411-db4.pdf.

World Bank. (2017). New country classifications by income level: 2017-2018. Retrieved January 8, 2018, from: https://blogs.worldbank.org/opendata/new-country-classifications-income-level-2017-2018.

World Bank. (2018). Countries and economies. Retrieved January 28, 2019, from: https://data.worldbank.org/country.

Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607–610.

Gujarati, D. N. (2003). Basic econometrics (4th ed.). Singapore: McGraw Hill.

Omwami, E. M., & Omwami, R. K. (2010). Public investment and the goal of providing universal access to primary education by 2015 in Kenya. International Journal of Educational Development, 30(3), 243–253.

Fredriksen, B., & Fossberg, C. H. (2014). The case for investing in secondary education in sub-Saharan Africa (SSA): challenges and opportunities. International Review of Education, 60(2), 235–259.