Energy Efficiency Measures & Environmental Pollutants: A Dynamic Panel Data Analysis within EU

  • Panagiotis Fotis
  • Published 2017

Abstract

The aim of this paper is to empirically explore the relationship between environmental pollutants, economic growth and energy efficiency indicators towards energy efficiency targets of Europe 2020 2030 strategy within EU countries from 2005 to 2013 by utilizing a Dynamic Panel Generalized Method of Moments approach. The results show that economic growth positively affects environmental pollutants such as SO2, NOx, NMVOC and GGE (CO2 equivalent). This implies that that Environmental Kuznets Curve hypothesis does not exist within EU countries. The results also reveal that the use of renewable sources of energy negatively affects environmental pollutants. The more the renewable energy we use the less the air pollution. Energy saving positively affects pollution, while energy intensity contributes to more air pollution. Even though ‘Energy Roadmap 2050’ seems to be satisfied, the recent adopted 30% energy efficiency target must be updated at regular intervals in order that to be monitored effectively.

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Cite this paper

@inproceedings{Fotis2017EnergyEM, title={Energy Efficiency Measures & Environmental Pollutants: A Dynamic Panel Data Analysis within EU}, author={Panagiotis Fotis}, year={2017} }