The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Willingness-to-pay for renewable energy: Primary and discretionary choice of British households' for micro-generation technologies
Open accessAbstract
This paper documents the policy context of renewable energy production in the European Union. The research adopts a choice experiment approach to investigate households' WTP for these renewable energy technologies in the UK. The micro-generation technologies comprise solar photovoltaic, micro-wind, solar thermal, heat pumps, and biomass boilers and pellet stoves. The study compares the results from conditional and mixed logit models, which estimate the distribution of utility coefficients and then derives WTP values as a ratio of the attribute coefficient to the price coefficient, with a model in which the WTP distribution is estimated directly from utility in the money space. The results suggest that whilst renewable energy adoption is significantly valued by households, this value is not sufficiently large, for the vast majority of households, to cover the higher capital costs of micro-generation energy technologies.
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Cites
Conditional logit analysis of qualitative choice behavior
McFadden, D. L. (1972) · eScholarship (California Digital Library) · Cited by 14,203
Hedonic prices and implicit markets: product differentiation in pure competition
Rosen, S. (1974) · Journal of Political Economy · doi:10.1086/260169 · Cited by 10,603
A New Approach to Consumer Theory
Lancaster, K. J. (1966) · Journal of Political Economy · doi:10.1086/259131 · Cited by 8,471
Cragg, J. G., & Zarembka, P. (1975) · The Canadian Journal of Economics · doi:10.2307/134075 · Cited by 8,342
A New Approach to Consumer Theory
Lancaster, K. J. (1976) · Lecture Notes in Economics and Mathematical Systems · doi:10.1007/978-3-642-51565-1_34 · Cited by 6,913
Status quo bias in decision making
Samuelson, W., & Zeckhauser, R. (1988) · Journal of Risk and Uncertainty · doi:10.1007/bf00055564 · Cited by 5,897
The Mixed Logit model: The state of practice
Hensher, D. A., & Greene, W. H. (2003) · Transportation · doi:10.1023/a:1022558715350 · Cited by 2,047
Recreation Demand Models with Taste Differences over People
Train, K. E. (1998) · Land Economics · doi:10.2307/3147053 · Cited by 1,048
BIOGEME: a free package for the estimation of discrete choice models
Bierlaire, M. (2003) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 877
Discrete Choice Models in Preference Space and Willingness-to-Pay Space
Train, K., & Weeks, M. (2005) · The Economics of Non-Market Goods and Resources · doi:10.1007/1-4020-3684-1_1 · Cited by 794
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Wang, Z., Zhang, B., Yin, J., & Zhang, Y. (2011) · Energy Policy · doi:10.1016/j.enpol.2011.03.055 · Cited by 306
Combining Policies for Renewable Energy: Is the Whole Less Than the Sum of Its Parts?
Fischer, C., & Preonas, L. (2010) · International Review of Environmental and Resource Economics · doi:10.1561/101.00000030 · Cited by 185
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Shih, L. H., & Chou, T. Y. (2011) · International Journal of Environmental Science & Technology · doi:10.1007/bf03326238 · Cited by 52
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Metadata
- Authors
- Scarpa, R., & Willis, K.
- Venue
- Energy Economics
- Publisher
- Elsevier BV
- Published
- 2010-01
- Volume
- 32
- Issue
- 1
- Pages
- 129-136
- ISSN
- 0140-9883 (ISSN-L)
- OpenAlex
- W2158180842
- Cited by
- 482
- References
- 29
- FWCI
- 47.34
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
