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The Willingness to Pay for Renewable Energy Sources: The Case of Italy with Socio-demographic Determinants

Carlo Andrea Bollino

Year: 2009
Volume: Volume 30
Number: Number 2
DOI: 10.5547/ISSN0195-6574-EJ-Vol30-No2-4
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Abstract:
According to the Renewable Sources EU Directive 2001/77/CE, the Italian Government goal is to attain the share of 22% in RES electricity production in 2010. In such context it becomes crucial to explore the existence of consumer's Willingness to Pay (WTP) in order to use renewable energy in the electricity production. This study is based on a national survey with 1601 interviews made, in Italy, in November 2006. My aim is twofold. Firstly, I wish to assess the consumer's WTP which is the basis for market sustainability of such energy policy goal and, secondly, I evaluate the share of the necessary public support to RES policy which is covered by the aggregate WTP of Italians. This is an implicit assessment of the plausibility/acceptance of the announced target policy. In my survey framework I obtain the consumer's WTP with two different approaches and to this end the sample has been divided in two parts. In the first sub-sample I propose the full price vector with a downward elicitation format while in the second sub-sample I use the same price vector with an upward elicitation format. In this paper I focus on the different uncertainty degree that affects respondent's choices. I take care econometrically of this issue using an individual stochastic valuation approach and a referendum approach. I obtain for most of the estimated models that estimates of WTP are in agreement with other international results. The aggregate WTP for RES in Italy, however, is (still) not enough to attain the Italian Government goal in 2010.



A Least-Cost optimisation Model of Co2 Capture Applied to Major uK Power Plants Within The Eu-ETS Framework

A.G. Kemp and A.S. Kasim

Year: 2008
Volume: Volume 29
Number: Special Issue
DOI: 10.5547/ISSN0195-6574-EJ-Vol29-NoSI-7
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Abstract:
Concerns about the cost of CO2 capture and sequestration, and the effective�ness of carbon abatement policies loom large in discussions on climate change mitiga�tion. Several writers address the issue from various perspectives. This paper attempts to add relative realism to discussions on CO2 capture costs, and, the deployment of carbon capture technology in the UK by using publicly available company data on the long term capacity expansion and CO2 capture investment programmes of selected power plants in the UK. With an estimated �8 billion plan to install a generation ca�pacity of 11 GW and capture capability of 44 MtCO2/year, it is imperative to optimise this huge potential investment. A least-cost optimisation model was formulated and solved with the LP algorithm available in GAMS. The model was then applied to ad�dress a number of issues, including the choice of an optimal carbon abatement policy within the EU-ETS framework. The major findings of the study include (a) the long term total cost curve of CO2 capture has three phases � rising, plateau, rising; (b) alternative capture technologies do not have permanent relative cost advantages or disadvantages; (c) Government incentives encourage carbon capture and the avoid�ance of emission penalty charges; and (d) the goals of EU-ETS are more effectively realised with deeper cuts in the EUA ratios than merely hiking the emission penalty, as proposed in EU-ETS Phase II.





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