The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Consumers and green electricity: profiling potential purchasers
Abstract
Globally, consumers are beginning to be able to choose their electricity supplier. Increasing concerns about the environment are prompting some of them to consider ‘green’ electricity—that is, electricity that has been generated by more environmentally sustainable means (for example, solar power or wind power). This article profiles the potential purchaser of green electricity. Drawing upon the literature on green product purchasers more generally, three sets of hypotheses are presented—more specifically, it is proposed that those who would pay increasingly higher premiums for green electricity are more likely to possess particular demographic characteristics, attitudinal characteristics and socialization characteristics. Responses from a survey distributed in a major Canadian metropolitan area are then examined. Attitudinal characteristics—specifically ecological concern, liberalism and altruism—best identify the potential purchasers of green electricity. Suggestions for managers and marketers are made following these findings. Directions for future research are also presented. Copyright © 2003 John Wiley & Sons, Ltd. and ERP Environment.
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Citations
Cites
Targeting consumers who are willing to pay more for environmentally friendly products
Laroche, M., Bergeron, J., & Barbaro‐Forleo, G. (2001) · Journal of Consumer Marketing · doi:10.1108/eum0000000006155 · Cited by 2,974
Value orientations, gender and environmental concern
Stern, P. C., Dietz, T., & Kalof, L. (1993) · Environment and Behavior · doi:10.1177/0013916593255002 · Cited by 2,162
Environmental segmentation alternatives: a look at green consumer behavior in the new millennium
Straughan, R. D., & Roberts, J. A. (1999) · Journal of Consumer Marketing · doi:10.1108/07363769910297506 · Cited by 1,611
Green consumers in the 1990s: Profile and implications for advertising
Roberts, J. A. (1996) · Journal of Business Research · doi:10.1016/0148-2963(95)00150-6 · Cited by 1,603
Review and Critical Assessment of Research on Marketing and the Environment
Kilbourne, W. E., & Beckmann, S. C. (1998) · Journal of Marketing Management · doi:10.1362/026725798784867716 · Cited by 319
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Sardianou, E., & Genoudi, P. (2013) · Renewable Energy · doi:10.1016/j.renene.2013.01.031 · Cited by 302
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Temminck, E., Mearns, K., & Fruhen, L. (2015) · Business Strategy and the Environment · doi:10.1002/bse.1827 · Cited by 289
Berki-Kiss, D., & Menrad, K. (2022) · Sustainable Production and Consumption · doi:10.1016/j.spc.2021.09.026 · Cited by 90
Metadata
- Authors
- Rowlands, I. H., Scott, D., & Parker, P.
- Venue
- Business Strategy and the Environment
- Publisher
- Wiley
- Published
- 2003-01
- Volume
- 12
- Issue
- 1
- Pages
- 36-48
- ISSN
- 0964-4733 (ISSN-L)
- 1099-0836
- OpenAlex
- W2035256468
- Cited by
- 202
- References
- 5
- FWCI
- 11.82
- Type
- journal article
- Language
- en
- Open access
- closed
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