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  4. Re-assessing no-regret potentials. The example of high efficiency electric motors
 
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2001
Conference Paper
Title

Re-assessing no-regret potentials. The example of high efficiency electric motors

Abstract
Energy conservation proponents, often with an engineering background, claim that a range of measures exists which allow to save energy and CO2 at negative net costs, but that these so-called no-regret measures are not being realised autonomously by market actors. This view is being challenged by traditional economic analysis, which argues that no-regret advocates neglect transaction costs and do not apply appropriate investment appraisal methods. Furthermore, the no-regret advocates' explanations for the non-exploitation of no-regret measures are often criticised as unsubstantiated or as inconsistent with the observation of profitability, e. g. when they refer to high information costs. This paper re-assesses the no-regret potential of high efficiency electric motors (HEM). It draws on a theoretical framework which defines criteria for identifying phenomena and causes for no-regret potentials and for distinguishing between "true" and "false" no-regret potentials. The framework combines investment theory (including real option theory), transactions cost economics, market failure theory and the theory of diffusion. The re-assessment procedure is illustrated using the example of HEM. A microeconomic re-revaluation of the profitability of HEM investments delivers the first component for determining a phenomenon of no-regret. It is followed by a discussion of causes, why HEM remain underrepresented despite their economic advantage. The existence of a no-regret potential related to HEM is confirmed, but its size in energetic and financial terms is modified. In the conclusions some implications for policy intervention are indicated.
Author(s)
Ostertag, K.  orcid-logo
Mainwork
ECEEE Summer Study 2001. Proceedings  
Conference
European Council for an Energy-Efficient Economy (Summer Study) 2001  
DOI
10.24406/publica-fhg-338481
File(s)
002.pdf (1.36 MB)
Rights
Under Copyright
Language
English
Fraunhofer-Institut für System- und Innovationsforschung ISI  
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