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2020 | 40 | 91-108

Article title

Government spending and school enrolment in sub-Saharan Africa: a system GMM approach

Content

Title variants

Languages of publication

EN

Abstracts

EN
Aim/purpose – Provision of basic education is pertinent to human capital development, poverty alleviation and abating the threat of insurgence in Africa. Governments in different countries in sub-Saharan Africa (SSA) do budget and spend various amount of money on education every year, but little is known about the effect of such spending on education, especially primary school enrolment which forms the basic educational foundation. Design/methodology/approach – Using data for 24 countries from 2000 to 2016, this study assesses the effect of government educational spending on primary school enrolment in SSA by employing the System-GMM approach. Findings – The results show that government spending has significant (p ≤ 0.05) and positive effect on primary school enrolment in SSA. The results are further confirmed using different diagnostic tests which include the Arellano–Bond test for first and second order autocorrelation in the disturbance term and the Hansen J-test for the validity of the instrumental variables. Other variables analysed (control), which have positive influence on enrolment, include GDP, general number of teachers available, and percentage trained teachers. Population growth rate negatively influences enrolment. Research implications/limitations – The study therefore concludes that increasing spending on education by governments in SSA is sine qua non for improving primary school enrolment rate in the region. Originality/value/contribution – This study has contributed empirically and theoretically to the body of knowledge. The scope covered also makes the study uniquely robust and different from previous ones, though scanty, country-based assessments.

Year

Volume

40

Pages

91-108

Physical description

Contributors

  • Department of Economics. Faculty of Social Sciences. Olabisi Onabanjo University. Ago-Iwoye, Nigeria
  • Department of Economic. Federal University of Agriculture. Abeokuta, Nigeria
  • Department of Agric and Ind Tech. School of Science and Technology. Babcock University, Ilishan-Remo, Nigeria
  • Department of Economics. Faculty of Social Sciences. Olabisi Onabanjo University. Ago-Iwoye, Nigeria

References

  • AAI. (2015). State of education in Africa Report 2015: A report card on the progress, opportunities and challenges confronting the African education sector. Retrieved from http://www.aaionline.org/wp-content/uploads/2015/09/AAI-SOE-report-2015-final.pdf
  • Achugbue, E. I., & Ochonogor, W. C. (2013). Human capital development through appropriate utilisation of information services. African Research Review, 7(3), 75-85. https://doi.org/10.4314/afrrev.v7i3.6
  • Akhilesh, G. (2019). Rational choice theory. Retrieved from https://www.investopedia.com/terms/r/rational-choice-theory.asp
  • Anderson, T. W., & Hsiao, C. (1982). Formulation and estimation of dynamic models using panel data. Journal of Econometrics, 18(1), 47-82. https://doi.org/10.1016/0304-4076(82)90095-1
  • Anyanwu, J. C., & Erhijakpor, A. E. O. (2007). Education expenditures and school enrolment in Africa: Illustrations from Nigeria and other SANE countries (Economic Research Working Paper, No. 92). Abidjan: Africa Development Bank. Retrieved from https://www.afdb.org/fileadmin/uploads/afdb/Documents/Publications/26820446-EN-ERWP-92.PDF
  • Arellano, M. (2003). Panel data econometrics. Oxford: Oxford University Press.
  • Arellano, M., & Bond, S. (1991). Some tests of specification in panel data: Monte Carlo evidence and an application to employment equations. Review of Economics and Statistics, 58, 277-291. https://doi.org/10.2307/2297968
  • Arellano, M., & Bover, O. (1995). Another look at the instrumental variables estimation of error components models. Journal of Econometrics, 68, 29-51. https://doi.org/10.1016/0304-4076(94)01642-D
  • Azeez, B. A., Kolapo, F. T., & Ajayi, L. B. (2012). Effect of exchange rate volatility on macroeconomic performance in Nigeria. Interdisciplinary Journal of Contemporary Research in Business, 4(1), 149-155. Retrieved from https://journalarchieves18.webs.com/149-155.pdf
  • Baltagi, B. H. (2008). Econometric analysis of panel data. Chichester: John Wiley & Sons.
  • Baum, C. F., Schaffer, M. E., & Stillman, S. (2003). Instrumental variables and GMM: Estimation and testing. Stata Journal, 3(1), 1-31. Retrieved from https://journals.sagepub.com/doi/pdf/10.1177/1536867X0300300101
  • Borkum, E. (2012). Can eliminating school fees in poor districts boost enrollment? Evidence from South Africa. Economic Development and Cultural Change, 60(2), 359-398. Retrieved from https://www.jstor.org/stable/10.1086/662580
  • Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115-143. https://doi.org/10.1016/S0304-4076(98)00009-8
  • Carsamer, E., & Ekyem, E. (2015). An empirical analysis of government education expenditure on enrolments at primary and secondary school levels in Africa, International Journal of Economics, Commerce and Management, 3(7), 273-294. Retrieved from http://ijecm.co.uk/wp-content/uploads/2015/07/3717.pdf
  • Gary, S. B. (1976). The economic approach to human behavior. Chicago: University of Chicago Press. Available at https://books.google.pl/books?id=ci5OCgAAQBAJ&printsec=frontcover&dq=Gary,+S.+B.+(1976).+The+economic+approach+to+human+behavior&hl=pl&sa=X&ved=0ahUKEwjrmbT6-b_pAhUh_SoKHaTzBl4Q6AEIKzAA#v=onepage&q&f=false
  • Han, C., Phillips, P. C. B., & Sul, D. (2013). X-differencing and dynamic panel model estimation. Econometric Theory, 30(1), 201-251. https://doi.org/10.1017/S0266466613000170
  • Hanushek, E. A. (1996). School resources and student performance. In G. Burtless (Ed.), Does money matter? The effect of school resources on student achievement and adult success (pp. 43-73). Washington, DC: Brookings Institution Press.
  • Iyer, T. (2009). Is public expenditure on primary education effective? Evidence from districts across India. Thesis submitted to the Department of Economics, Trinity College of Duke University, Durham, North Carolina.
  • Iyoha, M. A. (2004). Applied econometrics (Second edition). Benin City, Nigeria: Mindex Publishing.
  • Kroth, A. J. (2015). The effects of the introduction of tuition on college enrollment in Germany: Results from a natural experiment with special reference to students from low parental education backgrounds (Doctoral thesis, University of Michigan, Ann Arbor, MI). Retrieved from https://deepblue.lib.umich.edu/bitstream/handle/2027.42/111597/ankroth_1.pdf
  • Lucas, R. E. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22(1), 3-42. https://doi.org/10.1016/0304-3932(88)90168-7
  • Moyi, P. (2012). Who goes to school? School enrollment patterns in Somalia. International Journal of Educational Development, 32(1), 163-171. https://doi.org/10.1016/j.ijedudev.2010.09.002
  • Obi, Z. C., & Obi, C. O. (2014). Impact of government expenditure on education: The Nigerian experience. International Journal of Business and Finance Management Research, 2, 42-48. Retrieved from https://pdfs.semanticscholar.org/1d8d/cd0d2b0315e71722681fc84c1e674113ea0a.pdf
  • Ojewumi, J. S., & Oladimeji, W. O. (2016). Effect of public spending on the growth of educational sector in Nigeria. JORIND, 14(2). Retrieved from https://www.transcampus.org/JORINDV14DEC2016/24.pdf
  • Olaniyan, D. A., & Okemakinde, T. (2008). Human capital theory: Implications for educational development. European Journal of Scientific, 24(2), 157-162. Retrieved from http://medwelljournals.com/abstract/?doi=pjssci.2008.479.483
  • Oseni, I. O. (2016). Exchange rate volatility and private consumption in Sub-Sahara countries: A system-generalized method of moment dynamic panel analysis. Future Business Journal, 2, 103-115. https://doi.org/10.1016/j.fbj.2016.05.004
  • Romer, P. (1986). Increasing returns and long-run growth. Journal of Political Economy, 94(5), 1002-1037. https://doi.org/10.1086/261420
  • Schultz, T. P. (2002). Why governments should invest more to educate girls. World Development, 30, 207-225. https://doi.org/10.1016/S0305-750X(01)00107-3
  • Sen, A. (1999). Development as freedom. New York: Alfred A. Knopf.
  • Stasavage, D. (2005). Democracy and education spending in Africa. American Journal of Political Science, 45(1), 34-47. https://doi.org/10.1111/j.0092-5853.2005.00127.x
  • The Guardian. (2016). Child labour is part of most of what we buy today – what can we do? Spotlight on Africa. Retrieved from https://www.theguardian.com/sustainablebusiness/2016/nov/24/child-labour-what-can-we-do-africa-modern-slavery
  • UN. (2019). Education in Africa. United Nation report. Retrieved from http://uis.unesco.org/en/topic/education-africa
  • UN-OSSA. (2018). Youth empowerment. New York: Office of the Special Adviser on Africa, United Nation. Retrieved from https://www.un.org/en/africa/osaa/peace/youth.shtml
  • UNESCO. (2009). Education for all global monitoring report. Regional overview for sub-Saharan Africa. New York: United Nations Educational, Scientific and Cultural Organisation. Retrieved from https://en.unesco.org/gem-report/sites/gem-report/files/178418e.pdf
  • UNESCO. (2017). Education and skills for the 21st century (Working document). Retrieved from http://www.unesco.org/new/fileadmin/MULTIMEDIA/FIELD/Santiago/pdf/Habilidades-SXXI-Buenos-Aires-Eng.pdf
  • UNICEF. (2015). Education: The case for support. Retrieved from https://www.unicef.org/publicpartnerships/files/UNICEF_Case_for_Support_-_Education_14Dec2015.pdf
  • Warning, N., & Durrenberger, S. (2015). Corruption and education: Does public funding of higher education matter? Annual Conference 2015. Economic Development Theory and Policy. Hamburg: German Economic Association.
  • World Bank. (2012). Education in Sub-Sahara Africa: A comparative study. Retrieved from http://documents.worldbank.org/curated/en/892631468003571777/pdf/709790PUB0EPI0067926B09780821388891.pdf

Document Type

Publication order reference

Identifiers

ISSN
1732-1948

YADDA identifier

bwmeta1.element.cejsh-d4cc09bf-4bfa-473b-bf25-fabff64deacd
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