IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

An international comparison of educational systems: a temporal analysis in presence of bad outputs

Listed author(s):
  • Víctor Giménez

    (Universitat Autònoma de Barcelona)

  • Claudio Thieme

    (Universidad Diego Portales)

  • Diego Prior

    (Universitat Autònoma de Barcelona)

  • Emili Tortosa-Ausina

    ()

    (Universitat Jaume I)

Abstract This study uses the global non-radial Malmquist index to measure performance change in the educational systems of 29 countries/economies participating in PISA 2003 and 2012 for students at age 15 in the disciplines of mathematics and reading. This methodology is particularly appropriate both for its desirable properties as well as its suitability for the educational context. Results indicate a positive evolution in educational systems’ performance during this period. This improvement is mainly due a positive efficiency change, which offsets the negative technological change observed. Nevertheless, a deeper scrutiny at the country level shows that results varied remarkably among them.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://link.springer.com/10.1007/s11123-017-0491-9
File Function: Abstract
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Springer in its journal Journal of Productivity Analysis.

Volume (Year): 47 (2017)
Issue (Month): 1 (February)
Pages: 83-101

as
in new window

Handle: RePEc:kap:jproda:v:47:y:2017:i:1:d:10.1007_s11123-017-0491-9
DOI: 10.1007/s11123-017-0491-9
Contact details of provider: Web page: http://www.springer.com

Order Information: Web: http://www.springer.com/economics/microeconomics/journal/11123/PS2

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as
in new window


  1. Zhang, Ning & Choi, Yongrok, 2013. "Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis," Energy Economics, Elsevier, vol. 40(C), pages 549-559.
  2. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
  3. Quah, Danny, 1993. " Galton's Fallacy and Tests of the Convergence Hypothesis," Scandinavian Journal of Economics, Wiley Blackwell, vol. 95(4), pages 427-443, December.
  4. Yoruk, BarIs K. & Zaim, Osman, 2005. "Productivity growth in OECD countries: A comparison with Malmquist indices," Journal of Comparative Economics, Elsevier, vol. 33(2), pages 401-420, June.
  5. Emili GRIFELL-TATJÉ & Kristiaan KERSTENS, 2008. "Incentive Regulation And The Role Of Convexity In Benchmarking Electricity Distribution: Economists Versus Engineers," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 79(2), pages 227-248, June.
  6. Andrew Worthington, 2001. "An Empirical Survey of Frontier Efficiency Measurement Techniques in Education," Education Economics, Taylor & Francis Journals, vol. 9(3), pages 245-268.
  7. Quah, Danny, 1993. "Empirical cross-section dynamics in economic growth," European Economic Review, Elsevier, vol. 37(2-3), pages 426-434, April.
  8. Fare, Rolf & Grosskopf, Shawna, 2004. "Modeling undesirable factors in efficiency evaluation: Comment," European Journal of Operational Research, Elsevier, vol. 157(1), pages 242-245, August.
  9. Tone, Kaoru & Sahoo, Biresh K., 2003. "Scale, indivisibilities and production function in data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 84(2), pages 165-192, May.
  10. Douglas Sutherland & Robert Price & Eric Gonand, 2009. "Improving public spending efficiency in primary and secondary education," OECD Journal: Economic Studies, OECD Publishing, vol. 2009(1), pages 1-30.
  11. Giorgina Brown & John Micklewright & Sylke V. Schnepf & Robert Waldmann, 2007. "International surveys of educational achievement: how robust are the findings?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(3), pages 623-646.
  12. Timo Kuosmanen, 2005. "Weak Disposability in Nonparametric Production Analysis with Undesirable Outputs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1077-1082.
  13. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
  14. Kumar, Surender, 2006. "Environmentally sensitive productivity growth: A global analysis using Malmquist-Luenberger index," Ecological Economics, Elsevier, vol. 56(2), pages 280-293, February.
  15. Watanabe, Michio & Tanaka, Katsuya, 2007. "Efficiency analysis of Chinese industry: A directional distance function approach," Energy Policy, Elsevier, vol. 35(12), pages 6323-6331, December.
  16. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.
  17. William L. Weber & Bruce Domazlicky, 2001. "Productivity Growth and Pollution in State Manufacturing," The Review of Economics and Statistics, MIT Press, vol. 83(1), pages 195-199, February.
  18. António Afonso & Miguel St. Aubyn, 2005. "Non-parametric approaches to education and health efficiency in OECD countries," Journal of Applied Economics, Universidad del CEMA, vol. 8, pages 227-246, November.
  19. Pastor, Jesus T. & Lovell, C.A. Knox, 2005. "A global Malmquist productivity index," Economics Letters, Elsevier, vol. 88(2), pages 266-271, August.
  20. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
  21. Atakelty Hailu & Terrence S. Veeman, 2001. "Non-parametric Productivity Analysis with Undesirable Outputs: An Application to the Canadian Pulp and Paper Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 605-616.
  22. repec:dau:papers:123456789/7958 is not listed on IDEAS
  23. Henderson,Daniel J. & Parmeter,Christopher F., 2015. "Applied Nonparametric Econometrics," Cambridge Books, Cambridge University Press, number 9780521279680, December.
  24. Fare, Rolf & Grosskopf, Shawna & Noh, Dong-Woon & Weber, William, 2005. "Characteristics of a polluting technology: theory and practice," Journal of Econometrics, Elsevier, vol. 126(2), pages 469-492, June.
  25. Nakano, Makiko & Managi, Shunsuke, 2008. "Regulatory reforms and productivity: An empirical analysis of the Japanese electricity industry," Energy Policy, Elsevier, vol. 36(1), pages 201-209, January.
  26. Herbert Scarf, 1994. "The Allocation of Resources in the Presence of Indivisibilities," Journal of Economic Perspectives, American Economic Association, vol. 8(4), pages 111-128, Fall.
  27. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
  28. B. Hollingsworth & P. Smith, 2003. "Use of ratios in data envelopment analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 10(11), pages 733-735.
  29. Bert Balk, 2001. "Scale Efficiency and Productivity Change," Journal of Productivity Analysis, Springer, vol. 15(3), pages 159-183, May.
  30. Sueyoshi, Toshiyuki & Goto, Mika, 2011. "Measurement of Returns to Scale and Damages to Scale for DEA-based operational and environmental assessment: How to manage desirable (good) and undesirable (bad) outputs?," European Journal of Operational Research, Elsevier, vol. 211(1), pages 76-89, May.
  31. Oleg Badunenko & Diego Romero‐Ávila, 2013. "Financial Development And The Sources Of Growth And Convergence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(2), pages 629-663, May.
  32. Golany, Boaz & Thore, Sten, 1997. "The Economic and Social Performance of Nations: Efficiency and Returns to Scale," Socio-Economic Planning Sciences, Elsevier, vol. 31(3), pages 191-204, September.
  33. Zhang, Ning & Zhou, P. & Choi, Yongrok, 2013. "Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis," Energy Policy, Elsevier, vol. 56(C), pages 653-662.
  34. Stijn Reinhard & C. A. Knox Lovell & Geert Thijssen, 2002. "Analysis of Environmental Efficiency Variation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 1054-1065.
  35. Aristovnik, Aleksander & Obadić, Alka, 2014. "Measuring relative efficiency of secondary education in selected EU and OECD countries: the case of Slovenia and Croatia," MPRA Paper 63936, University Library of Munich, Germany.
  36. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
  37. Aparicio, Juan & Crespo-Cebada, Eva & Pedraja-Chaparro, Francisco & Santín, Daniel, 2017. "Comparing school ownership performance using a pseudo-panel database: A Malmquist-type index approach," European Journal of Operational Research, Elsevier, vol. 256(2), pages 533-542.
  38. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
  39. Afonso, Antonio & St. Aubyn, Miguel, 2006. "Cross-country efficiency of secondary education provision: A semi-parametric analysis with non-discretionary inputs," Economic Modelling, Elsevier, vol. 23(3), pages 476-491, May.
  40. Subodh Kumar & R. Robert Russell, 2002. "Technological Change, Technological Catch-up, and Capital Deepening: Relative Contributions to Growth and Convergence," American Economic Review, American Economic Association, vol. 92(3), pages 527-548, June.
  41. Gupta, Sanjeev & Verhoeven, Marijn, 2001. "The efficiency of government expenditure: experiences from Africa," Journal of Policy Modeling, Elsevier, vol. 23(4), pages 433-467, May.
  42. Shawna Grosskopf & Kathy J. Hayes & Lori L. Taylor, 2014. "Efficiency in Education: Research and Implications," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 36(2), pages 175-210.
  43. Olesen, Ole Bent & Petersen, Niels Christian & Podinovski, Victor V., 2015. "Efficiency analysis with ratio measures," European Journal of Operational Research, Elsevier, vol. 245(2), pages 446-462.
  44. Mei Xue & Patrick T. Harker, 2002. "Note: Ranking DMUs with Infeasible Super-Efficiency DEA Models," Management Science, INFORMS, vol. 48(5), pages 705-710, May.
  45. Deutsch, Joseph & Dumas, Audrey & Silber, Jacques, 2013. "Estimating an educational production function for five countries of Latin America on the basis of the PISA data," Economics of Education Review, Elsevier, vol. 36(C), pages 245-262.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:kap:jproda:v:47:y:2017:i:1:d:10.1007_s11123-017-0491-9. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla)

or (Rebekah McClure)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.