Willingness to pay for renewable energy: Implications for green tariff offerings

Walker, Sara, Fleming, Paul and Urwin, P. (2000) Willingness to pay for renewable energy: Implications for green tariff offerings. Journal of the Indoor and Built Environment, 9 (3-4). pp. 157-170. ISSN 1420-326X

Full text not available from this repository. (Request a copy)
Official URL: http://dx.doi.org/10.1177/1420326X0000900305

Abstract

Although financial support for renewable electricity sources has existed via the non-fossil fuel obligation since 1990, the UK ‘green power’ market is still in its infancy. This paper looks at attitudes to tariffs for ‘green power’ in light of the proposed phase-out of the non-fossil fuel obligation. The hypothesis tested was the consumers’ willingness to pay for electricity generated from renewable energy sources and to see if this was related to income and attitude. Data for analysis were taken from replies to a questionnaire sent to an energy-aware sub-population of Leicester which were analysed by a variety of statistical tests. Results of multiple regression analysis indicated that whether someone was willing to pay more was significantly correlated with attitude, experience (whether they had visited an environmental centre) and the purchasing power placed on £5. This finding has implications for the methods by which support for green tariffs can be increased. Education and raising people’s awareness through experience should be able to change attitudes and so increase their willingness to pay.

Item Type: Article
Additional Information: Sara Walker is credited on the article as S. Batley.
Subjects: K900 Others in Architecture, Building and Planning
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: Sara Walker
Date Deposited: 04 Jul 2014 13:53
Last Modified: 13 Oct 2019 00:22
URI: http://nrl.northumbria.ac.uk/id/eprint/16841

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics