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Technical evidence for assessing the performance of markets affecting energy efficiency

Authors: Jonathan G. Koomey; Alan H. Sanstad;
Abstract
Abstract This paper focuses on the empirical basis for skepticism about the effectiveness of the market mechanism in promoting cost-effective energy-efficiency improvements. We present a framework for evaluating engineering economic evidence on the diffusion of energy-efficiency improvements, and then present a series of examples within this framework that provide evidence for the existence of market imperfections related to energy efficiency. We conclude with a challenge to economists, policy analysts, and technologists to take this empirical evidence seriously and sponsor further collaborative research in this area.
Related Organizations
- Lawrence Berkeley National Laboratory United States
- Lawrence Berkeley National Laboratory United States
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).53 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
53
Top 10%
Top 1%
Top 10%