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The DEA Method and Its Application Possibilities for Measuring Efficiency in the Public Sector—The Case of Local Public Employment Services

Author

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  • Ewa Cichowicz

    (Financial System Department, SGH Warsaw School of Economics, 02-554 Warsaw, Poland)

  • Ewa Rollnik-Sadowska

    (Faculty of Engineering Management, Bialystok University of Technology, 15-351 Białystok, Poland)

  • Monika Dędys

    (Institute of Econometrics, SGH Warsaw School of Economics, 02-554 Warsaw, Poland)

  • Maria Ekes

    (Department of Mathematics and Mathematical Economics, SGH Warsaw School of Economics, 02-554 Warsaw, Poland)

Abstract

Public Employment Services (PES) are identified as important institutions in the process of improving the match between supply and demand in the labor market, which, despite their importance, still do not achieve the desired efficiency. The indicated problem is partly due to the lack of appropriate evaluation methods for the applied labor market policy instruments. This paper aims to verify the possibility of using the two-stage Data Envelopment Analysis (DEA) method in measuring the efficiency of public sector entities. The authors focused on 39 PES operating in Mazovia province, Poland in 2019. In the first stage, the model of technical efficiency of local PES included six variables (four inputs and two outputs). Only seven PES obtained full efficiency. The inefficiency of analyzed PES varied from about 1% to 80%. In the second stage, the attention focuses on the relationship between true unknown efficiency and its determinants (five environmental variables, both demand and supply oriented). Then, the regression coefficients and confidence intervals showed that three out of five variables influence the efficiency results, the share of the long-term unemployed, the share of the unemployed under 30, and the share of the unemployed over 50 in the total number of unemployed.

Suggested Citation

  • Ewa Cichowicz & Ewa Rollnik-Sadowska & Monika Dędys & Maria Ekes, 2021. "The DEA Method and Its Application Possibilities for Measuring Efficiency in the Public Sector—The Case of Local Public Employment Services," Economies, MDPI, vol. 9(2), pages 1-13, May.
    • Handle: RePEc:gam:jecomi:v:9:y:2021:i:2:p:80-:d:558931
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    References listed on IDEAS

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    1. Piotr Ciżkowicz & Michał Kowalczuk & Andrzej Rzońca, 2016. "Heterogeneous determinants of local unemployment in Poland," Post-Communist Economies, Taylor & Francis Journals, vol. 28(4), pages 487-519, October.
    2. Verónica Escudero, 2018. "Are active labour market policies effective in activating and integrating low-skilled individuals? An international comparison," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-26, December.
    3. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    4. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    5. Christopher J. O'Leary & Alena Nesporova & Alexander Samorodov, 2001. "Manual on Evaluation of Labour Market Policies in Transition Economies," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number cjo2001, August.
    6. Rafael Lalive & Jan C. van Ours & Josef Zweimueller, "undated". "The Impact of Active Labor Market Programs on the Duration of Unemployment," IEW - Working Papers 041, Institute for Empirical Research in Economics - University of Zurich.
    7. Andersson, Christian & Månsson, Jonas & Sund, Krister, 2014. "Technical efficiency of Swedish employment offices," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 57-64.
    8. Claudiu CICEA, 2020. "Performance In Public Management. A Research Agenda With Bibliometric Approach," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2020(35), pages 109-123, December.
    9. Kornelius Kraft, 1998. "An evaluation of active and passive labour market policy," Applied Economics, Taylor & Francis Journals, vol. 30(6), pages 783-793.
    10. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    11. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    12. Ewa Rollnik-Sadowska & Marta Jarocka & Edyta Dabrowska, 2020. "Diversity of Regional Labour Markets in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 33-51.
    13. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    14. Mihaiu, Diana Marieta & Opreana, Alin & Cristescu, Marian Pompiliu, 2010. "Efficiency, Effectiveness and Performance of the Public Sector," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 132-147, December.
    15. Beata GAVUROVA & Matus KUBAK & Martin MIKESKA, 2020. "The Efficiency Of Public Procurement In The Health Sector – The Platform On Sustainable Public Finances," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2020(35), pages 21-39, December.
    16. Rikard Althin & Lars Behrenz, 2004. "An efficiency analysis of Swedish employment offices," International Review of Applied Economics, Taylor & Francis Journals, vol. 18(4), pages 471-482.
    17. George Sheldon, 2003. "The Efficiency of Public Employment Services: A Nonparametric Matching Function Analysis for Switzerland," Journal of Productivity Analysis, Springer, vol. 20(1), pages 49-70, July.
    18. María-Celia López-Penabad & José Manuel Maside-Sanfiz & Juan Torrelles Manent & Ana Iglesias-Casal, 2020. "Application of the DEA Double Bootstrap to Analyze Efficiency in Galician Sheltered Workshops," Sustainability, MDPI, vol. 12(16), pages 1-21, August.
    19. Massimiliano Agovino & Antonio Gomes de Menezes & Dario Sciulli, 2013. "The efficiency of matching in Portuguese public employment service," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 121(1), pages 87-110.
    20. Elezaj Luljeta & Gjipali Arsena & Ademaj Sinan, 2019. "The Impact on Employment of Active Labour Market Policies: An Evaluation of Public Employment Services (PES) in Kosovo," South East European Journal of Economics and Business, Sciendo, vol. 14(1), pages 61-71, June.
    21. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    22. Jose F. Baños & Ana Rodriguez-Alvarez & Patricia Suarez-Cano, 2019. "The efficiency of public employment services: a matching frontiers approach," Applied Economic Analysis, Emerald Group Publishing Limited, vol. 27(81), pages 169-183, August.
    23. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    24. José V. Ramirez & Anatoli Vassiliev, 2007. "An Efficiency Comparison of Regional Employment Offices Operating under Different Exogenous Conditions," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 143(I), pages 31-48, March.
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