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2020 | nr 40 | 91--108
Tytuł artykułu

Government Spending and School Enrolment in Sub-Saharan Africa: a System GMM Approach

Warianty tytułu
Języki publikacji
EN
Abstrakty
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. (original abstract)
Rocznik
Numer
Strony
91--108
Opis fizyczny
Twórcy
  • Olabisi Onabanjo University Ago-Iwoye, Ogun State, Nigeria
  • Federal University of Agriculture, Abeokuta, Nigeria
  • Babcock University, Ilishan-Remo, Nigeria
  • Olabisi Onabanjo University Ago-Iwoye, Ogun, Nigeria
Bibliografia
  • 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
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171593603

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