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Environmental and Energy Efficiency of EU Electricity Industry: An Almost Spatial Two Stages DEA Approach

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  • Simona Bigerna
  • Maria Chiara D’Errico
  • Paolo Polinori

Abstract

This study analyzes the relationship between the energy efficiency and the stringency of environmental and market regulation in the electricity sectors has been analyzed. Using 19 European Union countries (2006-2014), we decomposed the environmental policy stringency index, the OECD regulatory indicators and the total factor productivity growth to highlight the complexity of the relations between electricity sector and regulatory policies. In the first stage we compute the three main components of total factor productivity. These three efficiency measures are used in the second stage to assess the impact of the regulatory policies on the total factor productivity also controlling for spatial effect. Results suggest that market and environmental regulations have not unidirectional impacts on the three components of total factor productivity. Pure and scale efficiency index are negatively affected by sectorial regulation that positively affect the shift of technological frontier. Environmental policy negatively affects the shift of the efficient frontier, but has a positive effect on the scale efficiency.

Suggested Citation

  • Simona Bigerna & Maria Chiara D’Errico & Paolo Polinori, 2019. "Environmental and Energy Efficiency of EU Electricity Industry: An Almost Spatial Two Stages DEA Approach," The Energy Journal, , vol. 40(1), pages 30-56, January.
  • Handle: RePEc:sae:enejou:v:40:y:2019:i:1:p:30-56
    DOI: 10.5547/01956574.40.1.sbig
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    References listed on IDEAS

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    1. Tooraj Jamasb and Michael Pollitt, 2005. "Electricity Market Reform in the European Union: Review of Progress toward Liberalization & Integration," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 11-42.
    2. Fiorio, Carlo V. & Florio, Massimo, 2013. "Electricity prices and public ownership: Evidence from the EU15 over thirty years," Energy Economics, Elsevier, vol. 39(C), pages 222-232.
    3. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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