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Advanced Biofuels: Future Perspectives from an Expert Elicitation Survey

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Journal , Other literature type , Research , Preprint 01 Jan 2012Publisher:Edward Elgar PublishingJournal:Energy Policy, volume 56, pages 293-311 (issn: 0301-4215,

Authors: Elena Verdolini; Giulia Fiorese; Giulia Fiorese; Valentina Bosetti; Valentina Bosetti; Michela Catenacci;

doi: 10.4337/9781782546474.00012 , 10.1016/j.enpol.2012.12.061 , 10.2139/ssrn.2162834

Advanced Biofuels: Future Perspectives from an Expert Elicitation Survey

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Abstract

This paper illustrates the main results of an expert elicitation survey on advanced (second and third generation) biofuel technologies. The survey focuses on eliciting probabilistic information on the future costs of advanced biofuels and on the potential role of Research, Development and Demonstration (RD&D) efforts in reducing these costs and in supporting the deployment of biofuels in Organisation for Economic Co-operation and Development (OECD) and non-OECD countries. Fifteen leading experts from different EU member states provide insights on the future potential of advanced biofuel technologies both in terms of costs and diffusion. This information results in a number of policy recommendations with respect to public RD&D strategies and is an important contribution to the integrated assessment modelling community.

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Keywords

Q42, Expert Elicitation, Research, Q55, Expert Elicitation, Research, Development and Demonstration, Biofuels, Biofuels, Development and Demonstration, jel: jel:Q55, jel: jel:Q42, ddc: ddc:330

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	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).	67
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	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 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%