IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v12y2019i2p72-d225600.html
   My bibliography  Save this article

Nonparametric Approach to Evaluation of Economic and Social Development in the EU28 Member States by DEA Efficiency

Author

Listed:
  • Lukáš Melecký

    (Department of European Integration, Faculty of Economics, VŠB—Technical University of Ostrava, Sokolská třída 33, 702 00 Ostrava 1, Czech Republic)

  • Michaela Staníčková

    (Department of European Integration, Faculty of Economics, VŠB—Technical University of Ostrava, Sokolská třída 33, 702 00 Ostrava 1, Czech Republic)

  • Jana Hančlová

    (Department of System Engeneering, Faculty of Economics, VŠB—Technical University of Ostrava, Sokolská třída 33, 702 00 Ostrava 1, Czech Republic)

Abstract

Data envelopment analysis (DEA) methodology is used in this study for a comparison of the dynamic efficiency of European countries over the last decade. Moreover, efficiency analysis is used to determine where resources are distributed efficiently and/or were used efficiently/inefficiently under factors of competitiveness extracted from factor analysis. DEA measures numerical grades of the efficiency of economic processes within evaluated countries and, therefore, it becomes a suitable tool for setting an efficient/inefficient position of each country. Most importantly, the DEA technique is applied to all (28) European Union (EU) countries to evaluate their technical and technological efficiency within the selected factors of competitiveness based on country competitiveness index in the 2000–2017 reference period. The main aim of the paper is to measure efficiency changes over the reference period and to analyze the level of productivity in individual countries based on the Malmquist productivity index (MPI). Empirical results confirm significant disparities among European countries and selected periods 2000–2007, 2008–2011, and 2012–2017. Finally, the study offers a comprehensive comparison and discussion of results obtained by MPI that indicate the EU countries in which policy-making authorities should aim to stimulate national development and provide more quality of life to the EU citizens.

Suggested Citation

  • Lukáš Melecký & Michaela Staníčková & Jana Hančlová, 2019. "Nonparametric Approach to Evaluation of Economic and Social Development in the EU28 Member States by DEA Efficiency," JRFM, MDPI, vol. 12(2), pages 1-34, April.
    • Handle: RePEc:gam:jjrfmx:v:12:y:2019:i:2:p:72-:d:225600
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/12/2/72/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1911-8074/12/2/72/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ben Gardiner & Ron Martin & Tyler Peter, 2004. "Competitiveness, Productivity and Economic Growth across the European Regions," ERSA conference papers ersa04p333, European Regional Science Association.
    2. Ulrike Mandl & Adriaan Dierx & Fabienne Ilzkovitz, 2008. "The effectiveness and efficiency of public spending," European Economy - Economic Papers 2008 - 2015 301, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    3. Mehdi Toloo & Mona Barat & Atefeh Masoumzadeh, 2015. "Selective measures in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 623-642, March.
    4. Boaz Golany & Sten Thore, 1997. "Restricted best practice selection in DEA: An overview with a case study evaluating the socio-economic performance of nations," Annals of Operations Research, Springer, vol. 73(0), pages 117-140, October.
    5. Ertugrul Deliktas & Mehmet Balcilar, 2005. "A Comparative Analysis of Productivity Growth, Catch-Up, and Convergence in Transition Economies," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 41(1), pages 6-28, January.
    6. Yun-Gi Hwang & Soohyun Park & Daecheol Kim, 2018. "Efficiency Analysis of Official Development Assistance Provided by Korea," Sustainability, MDPI, vol. 10(8), pages 1-13, August.
    7. 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.
    8. Halkos, George & Tzeremes, Nickolaos, 2005. "A DEA approach to regional development," MPRA Paper 3992, University Library of Munich, Germany.
    9. 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.
    10. Nurboja, Bashkim & Košak, Marko, 2017. "Banking efficiency in South East Europe: Evidence for financial crises and the gap between new EU members and candidate countries," Economic Systems, Elsevier, vol. 41(1), pages 122-138.
    11. William Easterly & Ross Levine, 2016. "The European origins of economic development," Journal of Economic Growth, Springer, vol. 21(3), pages 225-257, September.
    12. Pooja Bansal & Aparna Mehra, 2018. "Multi-period additive efficiency measurement in data envelopment analysis with non-positive and undesirable data," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 642-661, November.
    13. Chen, Chih Cheng, 2017. "Measuring departmental and overall regional performance: applying the multi-activity DEA model to Taiwan׳s cities/counties," Omega, Elsevier, vol. 67(C), pages 60-80.
    14. Jan G. Lambooy & Ron A. Boschma, 2001. "Evolutionary economics and regional policy," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 35(1), pages 113-131.
    15. 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.
    16. Mohammad Izadikhah & Reza Farzipoor Saen & Razieh Roostaee, 2018. "How to assess sustainability of suppliers in the presence of volume discount and negative data in data envelopment analysis?," Annals of Operations Research, Springer, vol. 269(1), pages 241-267, October.
    17. Po-Chin Wu & Tzu-Hsien Huang & Sheng-Chieh Pan, 2014. "Country Performance Evaluation: The DEA Model Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 118(2), pages 835-849, September.
    18. Darold Barnum & Jason Coupet & John Gleason & Abagail McWilliams & Annaleena Parhankangas, 2017. "Impact of input substitution and output transformation on data envelopment analysis decisions," Applied Economics, Taylor & Francis Journals, vol. 49(15), pages 1543-1556, March.
    19. Christopoulos, Dimitris K., 2007. "Explaining country's efficiency performance," Economic Modelling, Elsevier, vol. 24(2), pages 224-235, March.
    20. Jayati Ghosh & Peter Havlik & Marcos Poplawski-Ribeiro & Waltraut Urban, 2009. "Models of BRICs' Economic Development and Challenges for EU Competitiveness," wiiw Research Reports 359, The Vienna Institute for International Economic Studies, wiiw.
    21. Maxwell Hsu & Xueming Luo & Gary H. Chao, 2008. "The fog of OECD and Non-OECD country efficiency:a data envelopment analysis approach," Journal of Developing Areas, Tennessee State University, College of Business, vol. 42(1), pages 81-93, September.
    22. Ramanathan, Ramakrishnan, 2006. "Evaluating the comparative performance of countries of the Middle East and North Africa: A DEA application," Socio-Economic Planning Sciences, Elsevier, vol. 40(2), pages 156-167, June.
    23. Seiford, Lawrence M. & Zhu, Joe, 1999. "An investigation of returns to scale in data envelopment analysis," Omega, Elsevier, vol. 27(1), pages 1-11, February.
    24. Hseu, Jiing-Shyang & Shang, Jui-Kou, 2005. "Productivity changes of pulp and paper industry in OECD countries, 1991-2000: a non-parametric Malmquist approach," Forest Policy and Economics, Elsevier, vol. 7(3), pages 411-422, March.
    25. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, June.
    26. Conte, Andrea & Schweizer, Philip & Dierx, Adriaan & Ilzkovitz, Fabienne, 2009. "An analysis of the efficiency of public spending and national policies in the area of R&D," MPRA Paper 23549, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Toloo, Mehdi & Hančlová, Jana, 2020. "Multi-valued measures in DEA in the presence of undesirable outputs," Omega, Elsevier, vol. 94(C).
    2. Marinko Škare & Danijela Rabar, 2016. "Measuring Economic Growth Using Data Envelopment Analysis," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 18(42), pages 386-386, May.
    3. da Silva, Aneirson Francisco & Miranda, Rafael de Carvalho & Marins, Fernando Augusto Silva & Dias, Erica Ximenes, 2024. "A new multiple criteria data envelopment analysis with variable return to scale: Applying bi-dimensional representation and super-efficiency analysis," European Journal of Operational Research, Elsevier, vol. 314(1), pages 308-322.
    4. Alexander Cotte Poveda, 2012. "Estimating Effectiveness of the Control of Violence and Socioeconomic Development in Colombia: An Application of Dynamic Data Envelopment Analysis and Data Panel Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 105(3), pages 343-366, February.
    5. Alessandra Cepparulo & Gilles Mourre, 2020. "How and How Much? The Growth-Friendliness of Public Spending through the Lens," European Economy - Discussion Papers 132, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    6. Barnabé Walheer, 2018. "Cost Malmquist productivity index: an output-specific approach for group comparison," Journal of Productivity Analysis, Springer, vol. 49(1), pages 79-94, February.
    7. Katerina Fotova Čiković & Ivana Martinčević & Joško Lozić, 2022. "Application of Data Envelopment Analysis (DEA) in the Selection of Sustainable Suppliers: A Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(11), pages 1-30, May.
    8. Chang, Hsihui & Choy, Hiu Lam & Cooper, William W. & Ruefli, Timothy W., 2009. "Using Malmquist Indexes to measure changes in the productivity and efficiency of US accounting firms before and after the Sarbanes-Oxley Act," Omega, Elsevier, vol. 37(5), pages 951-960, October.
    9. Huichen Jiang & Yifan He, 2018. "Applying Data Envelopment Analysis in Measuring the Efficiency of Chinese Listed Banks in the Context of Macroprudential Framework," Mathematics, MDPI, vol. 6(10), pages 1-18, September.
    10. Mahlberg, Bernhard & Luptacik, Mikulas & Sahoo, Biresh K., 2011. "Examining the drivers of total factor productivity change with an illustrative example of 14 EU countries," Ecological Economics, Elsevier, vol. 72(C), pages 60-69.
    11. Iveta Palecková, 2017. "Application of Window Malmquist Index for Examination of Efficiency Change of Czech Commercial Banks," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 3, pages 173-190, September.
    12. Mikuláš Luptáčik & Eduard Nežinský, 2020. "Measuring income inequalities beyond the Gini coefficient," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(2), pages 561-578, June.
    13. Ajayi, Victor & Anaya, Karim & Pollitt, Michael, 2022. "Incentive regulation, productivity growth and environmental effects: the case of electricity networks in Great Britain," Energy Economics, Elsevier, vol. 115(C).
    14. Claudio Pinto, 2014. "Efficiency comparison for directly managed public hospitals for different geographical area in Italy," Working papers 5, Società Italiana di Economia Pubblica.
    15. Bladimir Proaño‐Rivera & José Manuel Feria‐Dominguez, 2024. "Are Ecuadorian banks enough technically efficient for growth? A clinical study," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2011-2029, April.
    16. Md Ali & K. Klein, 2014. "Water Use Efficiency and Productivity of the Irrigation Districts in Southern Alberta," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2751-2766, August.
    17. Vincenzo Patrizii & Anna Pettini & Giuliano Resce, 2017. "The Cost of Well-Being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(3), pages 985-1010, September.
    18. Arora, Nitin & Talwar, Shubhendra Jit, 2020. "Modelling efficiency in budget allocations for Indian states using window based non-radial non-concave metafrontier data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    19. Fragoudaki, Alexandra & Giokas, Dimitrios, 2020. "Airport efficiency in the dawn of privatization: The case of Greece," Journal of Air Transport Management, Elsevier, vol. 86(C).
    20. Sepideh Abolghasem & Mehdi Toloo & Santiago Amézquita, 2019. "Cross-efficiency evaluation in the presence of flexible measures with an application to healthcare systems," Health Care Management Science, Springer, vol. 22(3), pages 512-533, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jjrfmx:v:12:y:2019:i:2:p:72-:d:225600. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.