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A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from UK regions

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Author Info

  • Halkos, George E.
  • Tzeremes, Nickolaos G.

Abstract

This paper, by using conditional directional distance functions as introduced by Simar and Vanhems [J. Econometrics 166 (2012) 342–354] modifies the model by Färe and Grosskopf [Eur. J. Operat. Res. 157 (2004) 242–245] and examines the link between regional environmental efficiency and economic growth. The proposed model using conditional directional distance functions incorporates the effect of regional economic growth on regions’ environmental efficiency levels. The results from UK regional data reveal a negative relationship between regions’ GDP per capita and environmental inefficiency up to a certain GDP per capita level. After that level it appears that the relationship becomes positive. As an overall result the regional environmental inefficiency-GDP per capita relationship appears to have a ‘U’ shape form.

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Bibliographic Info

Article provided by Elsevier in its journal European Journal of Operational Research.

Volume (Year): 227 (2013)
Issue (Month): 1 ()
Pages: 182-189

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Handle: RePEc:eee:ejores:v:227:y:2013:i:1:p:182-189

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Web page: http://www.elsevier.com/locate/eor

Related research

Keywords: Regional environmental efficiency; Directional distance function; Conditional measures; UK regions;

References

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Citations

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Cited by:
  1. Cinzia Daraio & LŽopold Simar, 2013. "Directional Distances and their Robust versions. Computational and Testing Issues," DIAG Technical Reports 2013-11, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
  2. Halkos, George & Tzeremes, Nickolaos, 2013. "An additive two-stage DEA approach creating sustainability efficiency indexes," MPRA Paper 44231, University Library of Munich, Germany.
  3. Halkos, George & Papageorgiou, George, 2014. "Spatial environmental efficiency indicators in regional waste generation: A nonparametric approach," MPRA Paper 53400, University Library of Munich, Germany.
  4. Halkos, George & Sundström, Aksel & Tzeremes, Nickolaos, 2013. "Environmental performance and quality of governance: A non-parametric analysis of the NUTS 1-regions in France, Germany and the UK," MPRA Paper 48890, University Library of Munich, Germany.
  5. Halkos, George & Tzeremes, Nickolaos, 2013. "Renewable energy consumption and economic efficiency: Evidence from European countries," MPRA Paper 44136, University Library of Munich, Germany.
  6. Cordero Ferrera, Jose Manuel & Alonso Morán, Edurne & Nuño Solís, Roberto & Orueta, Juan F. & Souto Arce, Regina, 2013. "Efficiency assessment of primary care providers: A conditional nonparametric approach," MPRA Paper 51926, University Library of Munich, Germany.

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