Abstract
In this paper, we analyze the technical eciency of CO 2 reduction potentials of German power and heat plants, using a non-parametric sequential Data Envelopment Analysis. We apply a metafrontier framework to evaluate plant-level eciencies in the transformation of inputs into desirable (energy) and undesirable (CO2 emissions) outputs, taking into account dierent fossil fuel generation technologies. We dispose of a unique data set for coal-, lignite-, gas- and biomass-red power plants from 2003 through 2010 that provides an unbalanced panel of 1459 observations. We nd intra-group dierences within energy generation technology, but natural gas red power plants clearly have the highest eciency. Furthermore, the analysis points to signicant savings potentials for CO 2 and fuel-input.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
