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Empirical Assessment and Comparison of Educational Efficiency between Major Countries across the World

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  • Chen, Lipeng
  • Yu, Yang
  • Addis, Amsalu K.
  • Guo, Xiao

Abstract

Education is a fundamental factor to enhance a country’s comprehensive national strength and international competitiveness. Recently, several governments have been attracting investments in educational sectors in contemplation of meliorating a country’s overall strength. This study empirically assesses and compares the educational efficiency of 29 major countries across the world using panel data for 2010–2016 by employing data envelopment analysis (DEA) and the super-slacks-based measure (super-SBM) model at the static level combined with the Malmquist index (MI) to investigate educational efficiency at the dynamic level. The results indicate, inter alia, huge average education efficiency differences existed among the studied countries, the highest being Japan (3.2845) and lowest Norway (0.4137), there are differences in the bias of technological progress among the studied countries during the sample period and technological progress directly affects the sustainability of educational efficiency, the growth rate of total factor productivity (TFP) index has been reduced in 2010–2013 but increased in 2014–2016 and techno-logical progress has been the dominant factor influencing the rise of the education TFP index. Based on the results, this study identifies the merits and drawbacks of education efficiency across the sample countries and presents relevant recommendations to promote investment in the education sector and human capital.

Suggested Citation

  • Chen, Lipeng & Yu, Yang & Addis, Amsalu K. & Guo, Xiao, 2022. "Empirical Assessment and Comparison of Educational Efficiency between Major Countries across the World," MPRA Paper 112562, University Library of Munich, Germany, revised Mar 2022.
    • Handle: RePEc:pra:mprapa:112562
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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, September.
    2. Piergiacomo Sibiano & Tommaso Agasisti, 2011. "Efficiency of public spending in education: A challenge among Italian regions," Investigaciones de Economía de la Educación volume 6, in: Antonio Caparrós Ruiz (ed.), Investigaciones de Economía de la Educación 6, edition 1, volume 6, chapter 31, pages 503-516, Asociación de Economía de la Educación.
    3. Wuzhao Xue & Hua Li & Rizwan Ali & Ramiz ur Rehman & Gonzalo Fernández-Sánchez, 2021. "Assessing the Static and Dynamic Efficiency of Scientific Research of HEIs China: Three Stage DEA–Malmquist Index Approach," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
    4. Calogero Guccio & Marco Ferdinando Martorana & Luisa Monaco, 2016. "Evaluating the impact of the Bologna Process on the efficiency convergence of Italian universities: a non-parametric frontier approach," Journal of Productivity Analysis, Springer, vol. 45(3), pages 275-298, June.
    5. Kristof De Witte & Laura López-Torres, 2017. "Efficiency in education: a review of literature and a way forward," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 339-363, April.
    6. Ross, Phillip H., 2019. "Occupation aspirations, education investment, and cognitive outcomes: Evidence from Indian adolescents," World Development, Elsevier, vol. 123(C), pages 1-1.
    7. Johnes, Jill & Yu, Li, 2008. "Measuring the research performance of Chinese higher education institutions using data envelopment analysis," China Economic Review, Elsevier, vol. 19(4), pages 679-696, December.
    8. Simplice A. Asongu & Samba Diop & Amsalu K. Addis, 2023. "Governance, Inequality and Inclusive Education in Sub-Saharan Africa," Forum for Social Economics, Taylor & Francis Journals, vol. 52(1), pages 43-68, January.
    9. Johnes, Jill, 2006. "Data envelopment analysis and its application to the measurement of efficiency in higher education," Economics of Education Review, Elsevier, vol. 25(3), pages 273-288, June.
    10. Aristovnik, Aleksander, 2012. "The impact of ICT on educational performance and its efficiency in selected EU and OECD countries: a non-parametric analysis," MPRA Paper 39805, University Library of Munich, Germany.
    11. Miningou,Elise Wendlassida, 2019. "Quality Education and the Efficiency of Public Expenditure : A Cross-Country Comparative Analysis," Policy Research Working Paper Series 9077, The World Bank.
    12. Rolf Färe & Shawna Grosskopf & Dimitris Margaritis, 2011. "Malmquist Productivity Indexes and DEA," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 127-149, Springer.
    13. Izadi, Hooshang & Johnes, Geraint & Oskrochi, Reza & Crouchley, Robert, 2002. "Stochastic frontier estimation of a CES cost function: the case of higher education in Britain," Economics of Education Review, Elsevier, vol. 21(1), pages 63-71, February.
    14. Choonjoo Lee, 2010. "An Efficient Data Envelopment Analysis with Large Data Set in Stata," BOS10 Stata Conference 3, Stata Users Group.
    15. Rana P. Maradana & Rudra P. Pradhan & Saurav Dash & Kunal Gaurav & Manju Jayakumar & Debaleena Chatterjee, 2017. "Does innovation promote economic growth? Evidence from European countries," Journal of Innovation and Entrepreneurship, Springer, vol. 6(1), pages 1-23, December.
    16. Huan Xu & Fangtao Liu, 2017. "Measuring the Efficiency of Education and Technology via DEA approach: Implications on National Development," Social Sciences, MDPI, vol. 6(4), pages 1-13, November.
    17. Jill Johnes & Maria Portela & Emmanuel Thanassoulis, 2017. "Efficiency in education," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 331-338, April.
    18. Yong-bae Ji & Choonjoo Lee, 2010. "Data envelopment analysis," Stata Journal, StataCorp LP, vol. 10(2), pages 267-280, June.
    19. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    20. Abayasekara, Ashani & Arunatilake, Nisha, 2018. "School-level resource allocation and education outcomes in Sri Lanka," International Journal of Educational Development, Elsevier, vol. 61(C), pages 127-141.
    21. Longwu Liang & Zhen Bo Wang & Dong Luo & Ying Wei & Jingwen Sun, 2020. "Synergy effects and it’s influencing factors of China’s high technological innovation and regional economy," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-25, May.
    22. Lesław Rządziński & Anna Sworowska, 2016. "Parametric and Non Parametric Methods for Efficiency Assessment of State Higher Vocational Schools in 2009-2011," Entrepreneurial Business and Economics Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., vol. 4(1), pages 95-112.
    23. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    24. Shaohua Cheng & Yongwei Zhou, 2015. "The Evaluation and Optimization to the Higher Educational Resource Allocation," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol. 9(1), pages 60-73, January.
    25. Oecd, 2015. "Teaching with technology," Teaching in Focus 12, OECD Publishing.
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    More about this item

    Keywords

    Educational efficiency; Super-SBM model; Malmquist index; Total factor productivity (TFP) index; Data envelopment analysis (DEA);
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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