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Eco-efficiency and convergence

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  • Eduard Nezinsky

    () (University of Economics in Bratislava, Faculty of National Economy, Department of Economic Policy)

Abstract

In pursuit of welfare, environmental issues constitute one important dimension to be taken into account in assessing the welfare along with the economic and social indicators. There has been a lively discussion about measures of social welfare beyond GDP articulated by Stiglitz Report (Stiglitz et al, 2009) which can be viewed as a summation of the earlier efforts to deal with those challenges. This study concentrates on environmental aspects of economic growth in European countries and the changes undergone in the period of 2000 – 2010. Time series of obtained eco-efficiency scores from SBM models were used to infer on the ?- and ß-convergence analysed in line with the classical econometric approach. Results suggest that except of the post crisis disruption a process of convergence with respect to eco-efficiency has been taking place in European countries.

Suggested Citation

  • Eduard Nezinsky, 2014. "Eco-efficiency and convergence," Department of Economic Policy Working Paper Series 008, Department of Economic Policy, Faculty of National Economy, University of Economics in Bratislava.
  • Handle: RePEc:brt:depwps:008
    as

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    References listed on IDEAS

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    1. Sala-i-Martin, Xavier X, 1996. "The Classical Approach to Convergence Analysis," Economic Journal, Royal Economic Society, vol. 106(437), pages 1019-1036, July.
    2. 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.
    3. Daniel J. Henderson & R. Robert Russell, 2005. "Human Capital And Convergence: A Production-Frontier Approach ," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(4), pages 1167-1205, November.
    4. Fare, Rolf & Grosskopf, Shawna & Tyteca, Daniel, 1996. "An activity analysis model of the environmental performance of firms--application to fossil-fuel-fired electric utilities," Ecological Economics, Elsevier, vol. 18(2), pages 161-175, August.
    5. 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.
    6. 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.
    7. 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.
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    More about this item

    Keywords

    eco-efficiency; data envelopment analysis; convergence;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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