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Drivers of the Change in Social Welfare. WWWforEurope Working Paper No. 105

Author

Listed:
  • Mikuláš Luptáčik
  • Eduard Nežinský
  • Martin Lábaj

    (University of Economics Bratislava)

Abstract

Recent developments in the political, scientific and economic debate will have important repercussions on economic policy and welfare, many of them not reflected in traditional GDP measures and in economic policy. Thus it is of critical importance to develop and to use new approaches able to compare policy scenarios for their effectiveness, their efficiency, their enforceability and other dimensions. Quantitative methodology has to assess the relative performance of different policy scenarios taking into account their long-term economic, social and environmental impacts. The methodology based on Data Envelopment Analysis (DEA) and Multi Criteria Analysis (MCA) provides a promising comparison framework.

Suggested Citation

  • Mikuláš Luptáčik & Eduard Nežinský & Martin Lábaj, 2015. "Drivers of the Change in Social Welfare. WWWforEurope Working Paper No. 105," WIFO Studies, WIFO, number 58348, April.
  • Handle: RePEc:wfo:wstudy:58348
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    File URL: https://www.wifo.ac.at/wwa/pubid/58348
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. Claudia Kettner-Marx & Angela Köppl & Sigrid Stagl, 2012. "List of Well-being Indicators. WWWforEurope Working Paper No. 2," WIFO Studies, WIFO, number 46423, April.
    4. Jeroen C.J.M. van den Bergh & Miklós Antal, 2014. "Evaluating Alternatives to GDP as Measures of Social Welfare and Progress. WWWforEurope Working Paper No. 56," WIFO Studies, WIFO, number 47188.
    5. 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.
    6. Antal, Miklós, 2014. "Green goals and full employment: Are they compatible?," Ecological Economics, Elsevier, vol. 107(C), pages 276-286.
    7. Marina Fischer-Kowalski & Dominik Wiedenhofer & Willi Haas & Irene Pallua & Daniel Hausknost, 2013. "Developing Resource Use Scenarios for Europe. WWWforEurope Working Paper No. 25," WIFO Studies, WIFO, number 46886.
    8. Dominik Wiedenhofer & Marina Fischer-Kowalski, 2015. "Achieving Absolute Decoupling? Comparing Biophysical Scenarios and Macro-economic Modelling Results. WWWforEurope Working Paper No. 86," WIFO Studies, WIFO, number 57895.
    9. Bernhard Rengs & Manuel Scholz-Wäckerle & Ardjan Gazheli & Miklós Antal & Jeroen C.J.M. van den Bergh, 2015. "Testing Innovation, Employment and Distributional Impacts of Climate Policy Packages in a Macro-evolutionary Systems Setting. WWWforEurope Working Paper No. 83," WIFO Studies, WIFO, number 57891.
    10. Korhonen, Pekka J. & Luptacik, Mikulas, 2004. "Eco-efficiency analysis of power plants: An extension of data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 154(2), pages 437-446, April.
    11. Dyckhoff, H. & Allen, K., 2001. "Measuring ecological efficiency with data envelopment analysis (DEA)," European Journal of Operational Research, Elsevier, vol. 132(2), pages 312-325, July.
    12. Claudia Kettner & Angela Köppl & Sigrid Stagl, 2014. "Towards an Operational Measurement of Socio-ecological Performance. WWWforEurope Working Paper No. 52," WIFO Studies, WIFO, number 47154.
    13. 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.
    14. Daniel Tyteca, 1997. "Linear Programming Models for the Measurement of Environmental Performance of Firms—Concepts and Empirical Results," Journal of Productivity Analysis, Springer, vol. 8(2), pages 183-197, May.
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