Prague Economic Papers 2013, 22(4):459-473 | DOI: 10.18267/j.pep.462

Composite Indicators as a Useful Tool for International Comparison: The Europe 2020 Example

Lenka Hudrliková
University of Economics, Prague.

Composite indicators as a tool for a ranking become more and more popular, because they illustrate a comprehensive view on a phenomenon that cannot be captured by only one single indicator. Indicators for Europe 2020 are set of indicators used for monitoring targets defined by the European Commission in the Strategy of Smart, Sustainable and Inclusive Growth. The main objective of this paper is the comparison of performance of the EU Member States using the composite indicator principles. Within constructing composite indicators several steps have to be made and corresponding methods have to be chosen. There is not only one correct method how to develop a composite indicator. Of course, the choice of the methods manipulates the results. Primarily, normalisation methods, weighting schemes and aggregation formulas are fundamental but very subjective. This paper deals with two types of normalisation (z-score and min-max) and four weighting and aggregation schemes (equal weighting with linear aggregation, principal components analysis, benefit of doubt method and multi-criteria analysis). European countries ranking is provided according to the seven different scenarios.

Klíčová slova: international comparison, principal component analysis, composite indicator, the Europe 2020 indicators, benefit of doubt analysis, multi-criteria analysis
JEL classification: C38, C43, C61, O1

Zveřejněno: 1. leden 2013  Zobrazit citaci

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
Hudrliková, L. (2013). Composite Indicators as a Useful Tool for International Comparison: The Europe 2020 Example. Prague Economic Papers22(4), 459-473. doi: 10.18267/j.pep.462
Stáhnout citaci

Reference

  1. Cherchye, L., Moesen, W., Rogge, N., Van Puyenbroeck, T. (2009), "Constructing a Knowledge Economy Composite Indicator with Imprecise Data." CES KU Leuven Discussion Paper Series 09.15. Přejít k původnímu zdroji...
  2. Cherchye, L., Moesen, W., Rogge, N., Van Puyenbroeck, T., Saisana, M., Saltelli, A., Liska, R., Tarantola, S. (2008), "Creating Composite Indicators with DEA and Robustness Analysis: the case of the Technology Achievement Index." Journal of the Operational Research Society, Vol. 59, pp. 239-251. Přejít k původnímu zdroji...
  3. European Commission (2010), Communication from the Commission. EUROPE 2020: A strategy for smart, sustainable and inclusive growth. Brussels: European Commission
  4. Freudenberg, M. (2003), "Composite Indicators of Country Performance: A Critical Assessment", OECD Science, Technology and Industry Working Papers 2003/16. Přejít k původnímu zdroji...
  5. Groeneveld, R. A., Meeden, G. (1984), "Measuring Skewness and Kurtosis." The Journal of the Royal Statistical Society. The Statistician, Vol. 33, No. 4, pp.391-399. Přejít k původnímu zdroji...
  6. Hoolingsworth, B., Wildman, J. (2002), "Efficiency and Cross efficiency Measures: A Validation Using OECD Data. " Centre for Health Program Evaluation Working Paper No. 132.
  7. Manly, B. (2004), Multivariate Statistical Methods: A Primer. UK: Chapman & Hall. Přejít k původnímu zdroji...
  8. Morrison, D. F. (2005), Multivariate Statistical Methods. California: Thompson Brooks.
  9. Munda, G. (2010), Social Multi-Criteria Evaluation for a Sustainable Economy, Springer.
  10. Munda, G., Nardo, M. (2009), "Noncompensatory/Nonlinear Composite Indicators for Ranking Countries: A Defensible Setting." Applied Economics, No. 41, pp. 1513-1523. Přejít k původnímu zdroji...
  11. Nardo M., Saisana, M., Saltelli, A., Tarantola, S. (2005), Tools for Composite Indicators Building. Ispra: Joint Research Centre. EUR 21682.
  12. OECD (2008), Handbook on Constructing Composite Indicators. Methodology and User Guide. Paris: Organisation for Economic Co-operation and Development.
  13. Saisana, M. (2011), "Weighting Methods II: Statistical Approaches." Lecture at JRC Seminar on Composite Indicators and Rankings, Ispra Italy.
  14. Saisana, M., Saltelli, A., Tarantola, S. (2005), "Uncertainty and Sensitivity Analysis Techniques as Tools for Quality Assessment of Composite Indicators." The Journal of the Royal Statistical Society. 168, Part 2, pp.307-323. Přejít k původnímu zdroji...
  15. Saltelli, A. (2011), "Composite Indicators: An Introduction." Lecture at JRC Seminar on Composite Indicators and Rankings, Ispra Italy.
  16. Saltelli, A., Munda, G., Nardo, M. (2006). "From Complexity to Multi-dimensionality: the Role of Composite Indicators for Advocacy of EU Reform." Tijdchrift vor Economie en Management. Vol. LI, 3.
  17. StatSoft, Inc. (2011), Electronic Statistics Textbook. (Electronic Version). StatSoft. www.statsoft.com/textbook.

Tento článek je publikován v režimu tzv. otevřeného přístupu k vědeckým informacím (Open Access), který je distribuován pod licencí Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY NC ND 4.0), která umožňuje nekomerční distribuci, reprodukci a změny, pokud je původní dílo řádně ocitováno. Není povolena distribuce, reprodukce nebo změna, která není v souladu s podmínkami této licence.