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Does Education Help Local Economies Reach Economic Potential? Evidence from South Africa

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  • Brian Tavonga Mazorodze
  • Harris Maduku

Abstract

It is widely understood in development circles that poverty alleviation is elusive unless local economies operate productively with limited resources and existing technology. With a high rate of poverty on the back of weak output growth at municipality level in South Africa since 1994, this background makes it necessary to establish factors that could increase the pace of economic development and help local economies produce at full capacity. Using a stochastic frontier analysis of South Africa’s 234 municipalities observed between 1995 and 2018, this paper finds postgraduate education (Masters and Doctorates) relevant in explaining the ability of these local economies to reach their full potential and the effect increases with the size of the manufacturing sector, life expectancy and trade. The stock of high school, diplomas, bachelors, and honours does not significantly contribute towards productive efficiency of these 234 municipalities reinforcing concerns of a possible structural mismatch between lower-level qualifications and the labour market demands. Consequently, moving these municipalities closer to their full potential may be achievable through ensuring that the undergraduate cohorts reach Masters, and PhD level complemented by a manufacturing-oriented structural change.

Suggested Citation

  • Brian Tavonga Mazorodze & Harris Maduku, 2024. "Does Education Help Local Economies Reach Economic Potential? Evidence from South Africa," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 10(1), pages 57-86, January.
    • Handle: RePEc:ate:journl:ajbev10i1-4
    DOI: 10.30958/ajbe.10-1-4
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    1. Diewert, W E, 1971. "An Application of the Shephard Duality Theorem: A Generalized Leontief Production Function," Journal of Political Economy, University of Chicago Press, vol. 79(3), pages 481-507, May-June.
    2. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    3. Mr. Montfort Mlachila & Tlhalefang Moeletsi, 2019. "Struggling to Make the Grade: A Review of the Causes and Consequences of the Weak Outcomes of South Africa’s Education System," IMF Working Papers 2019/047, International Monetary Fund.
    4. Mikael Lindahl & Alan B. Krueger, 2001. "Education for Growth: Why and for Whom?," Journal of Economic Literature, American Economic Association, vol. 39(4), pages 1101-1136, December.
    5. Arnaud Chevalier & Colm Harmon & Ian Walker & Yu Zhu, 2004. "Does Education Raise Productivity, or Just Reflect it?," Economic Journal, Royal Economic Society, vol. 114(499), pages 499-517, November.
    6. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    7. Xavier Sala-I-Martin & Gernot Doppelhofer & Ronald I. Miller, 2004. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," American Economic Review, American Economic Association, vol. 94(4), pages 813-835, September.
    8. Zheng WEI & Rui HAO, 2011. "The Role Of Human Capital In China'S Total Factor Productivity Growth: A Cross‐Province Analysis," The Developing Economies, Institute of Developing Economies, vol. 49(1), pages 1-35, March.
    9. E. N. Appiah & W. W. McMahon, 2002. "The Social Outcomes of Education and Feedbacks on Growth in Africa," Journal of Development Studies, Taylor & Francis Journals, vol. 38(4), pages 27-68.
    10. Arendt, Jacob Nielsen, 2005. "Does education cause better health? A panel data analysis using school reforms for identification," Economics of Education Review, Elsevier, vol. 24(2), pages 149-160, April.
    11. Grossman, Gene M & Helpman, Elhanan, 1990. "Trade, Innovation, and Growth," American Economic Review, American Economic Association, vol. 80(2), pages 86-91, May.
    12. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    13. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 407-437.
    14. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
    15. Greene, William H., 1990. "A Gamma-distributed stochastic frontier model," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 141-163.
    16. Miller, Stephen M. & Upadhyay, Mukti P., 2000. "The effects of openness, trade orientation, and human capital on total factor productivity," Journal of Development Economics, Elsevier, vol. 63(2), pages 399-423, December.
    17. Robert J. Barro, 2001. "Human Capital and Growth," American Economic Review, American Economic Association, vol. 91(2), pages 12-17, May.
    18. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    19. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    20. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    21. Andrew Phiri & Chuma Mbaleki & Christian Nsiah, 2022. "Fiscal expenditures, revenues and labour productivity in South Africa," Cogent Economics & Finance, Taylor & Francis Journals, vol. 10(1), pages 2062912-206, December.
    22. Bhattacharyya, Arunava & Harris, Thomas R. & Narayanan, Rangesan & Raffiee, Kambiz, 1995. "Specification and estimation of the effect of ownership on the economic efficiency of the water utilities," Regional Science and Urban Economics, Elsevier, vol. 25(6), pages 759-784, December.
    23. Haroon Bhorat & Aalia Cassim & David Tseng, 2016. "Higher education, employment and economic growth: Exploring the interactions," Development Southern Africa, Taylor & Francis Journals, vol. 33(3), pages 312-327, May.
    24. Fabrice Murtin, 2013. "Improving Education Quality in South Africa," OECD Economics Department Working Papers 1056, OECD Publishing.
    25. Stephan Kampelmann & François Rycx & Yves Saks & Ilan Tojerow, 2018. "Does education raise productivity and wages equally? The moderating role of age and gender," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-37, December.
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