The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Beyond NIMBYism: towards an integrated framework for understanding public perceptions of wind energy
Abstract
It is widely recognised that public acceptability often poses a barrier towards renewable energy development. This article reviews existing research on public perceptions of wind energy, where opposition is typically characterized by the NIMBY (not in my back yard) concept. The objectives of the article are to provide a critical assessment of past research and an integrated, multidimensional framework to guide future work. Six distinct strands of research are identified, summarized and critiqued: public support for switching from conventional energy sources to wind energy; aspects of turbines associated with negative perceptions; the impact of physical proximity to turbines; acceptance over time of wind farms; NIMBYism as an explanation for negative perceptions; and, finally, the impact of local involvement on perceptions. Research across these strands is characterized by opinion poll studies of general beliefs and case studies of perceptions of specific developments. In both cases, research is fragmented and has failed to adequately explain, rather than merely describe, perceptual processes. The article argues for more theoretically informed empirical research, grounded in social science concepts and methods. A multidimensional framework is proposed that goes beyond the NIMBY label and integrates previous findings with social and environmental psychological theory. Copyright © 2004 John Wiley & Sons, Ltd.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The social construction of reality : a treatise in the sociology of knowledge
Simpson, G., Berger, P. L., & Luckmann, T. (1967) · American Sociological Review · doi:10.2307/2091739 · Cited by 16,462
THE INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE
Shine, K. (1990) · Weather · doi:10.1002/j.1477-8696.1990.tb05660.x · Cited by 5,462
The Social Construction of Reality: A Treatise in the Sociology of Knowledge
Gustafson, J. M., Berger, P. L., Luckmann, T., & Luckmann, T. (1968) · Journal for the Scientific Study of Religion · doi:10.2307/1385127 · Cited by 4,311
Wind power and the NIMBY-myth: institutional capacity and the limited significance of public support
Wolsink, M. (2000) · Renewable Energy · doi:10.1016/s0960-1481(99)00130-5 · Cited by 973
Beyond house and haven: toward a revisioning of emotional relationships with places
Manzo, L. C. (2003) · Journal of Environmental Psychology · doi:10.1016/s0272-4944(02)00074-9 · Cited by 928
Psychological Theories for Environmental Issues
Bonnes, M. (2017) · Routledge eBooks · doi:10.4324/9781315245720 · Cited by 594
Environmental Concern in a Local Context: The Significance of Place Attachment
Vorkinn, M., & Riese, H. (2001) · Environment and Behavior · doi:10.1177/00139160121972972 · Cited by 583
Canter, D. (2023) · Readings on the Psychology of Place · doi:10.4324/9781003313052-8 · Cited by 579
On public attitudes towards wind power
Krohn, S., & Damborg, S. (1999) · Renewable Energy · doi:10.1016/s0960-1481(98)00339-5 · Cited by 389
Álvarez-Farizo, B., & Hanley, N. (2002) · Energy Policy · doi:10.1016/s0301-4215(01)00063-5 · Cited by 315
Cited by
Devine-Wright, P., & Howes, Y. (2010) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2010.01.008 · Cited by 892
Self-citationvan der Horst, D. (2007) · Energy Policy · doi:10.1016/j.enpol.2006.12.012 · Cited by 849
Pro-environmental behaviours and park visitors: The effect of place attachment
Halpenny, E. A. (2010) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2010.04.006 · Cited by 818
Environmental issues associated with wind energy – A review
Dai, K., Bergot, A., Liang, C., Xiang, W.-N., & Huang, Z. (2015) · Renewable Energy · doi:10.1016/j.renene.2014.10.074 · Cited by 473
Thirty years of North American wind energy acceptance research: What have we learned?
Rand, J., & Hoen, B. (2017) · Energy Research & Social Science · doi:10.1016/j.erss.2017.05.019 · Cited by 466
Ellis, G., Barry, J., & Robinson, C. (2007) · Journal of Environmental Planning and Management · doi:10.1080/09640560701402075 · Cited by 448
Public perceptions of opportunities for community-based renewable energy projects
Rogers, J. C., Simmons, E. A., Convery, I., & Weatherall, A. (2008) · Energy Policy · doi:10.1016/j.enpol.2008.07.028 · Cited by 425
Cowell, R., Bristow, G., & Munday, M. (2011) · Journal of Environmental Planning and Management · doi:10.1080/09640568.2010.521047 · Cited by 417
Addressing the Social Aspects of a Circular Economy: A Systematic Literature Review
Padilla-Rivera, A., Russo-Garrido, S., & Merveille, N. (2020) · Sustainability · doi:10.3390/su12197912 · Cited by 398
Devine-Wright, P. (2013) · Environment and Behavior · doi:10.1177/0013916512440435 · Cited by 386
Self-citationLeaves based triboelectric nanogenerator (TENG) and TENG tree for wind energy harvesting
Feng, Y., Zhang, L., Zheng, Y., Wang, D., Zhou, F., & Liu, W. (2019) · Nano Energy · doi:10.1016/j.nanoen.2018.10.075 · Cited by 322
Societal acceptance of wind farms: Analysis of four common themes across Australian case studies
Hall, N., Ashworth, P., & Devine-Wright, P. (2013) · Energy Policy · doi:10.1016/j.enpol.2013.03.009 · Cited by 301
Self-citationPublic Attitudes Toward Construction of New Power Plants
Ansolabehere, S., & Konisky, D. M. (2009) · Public Opinion Quarterly · doi:10.1093/poq/nfp041 · Cited by 270
A review on recent advancements of substructures for offshore wind turbines
Wang, X., Zeng, X., Li, J., Yang, X., & Wang, H. (2018) · Energy Conversion and Management · doi:10.1016/j.enconman.2017.12.061 · Cited by 258
Health effects and wind turbines: A review of the literature
Knopper, L. D., & Ollson, C. A. (2011) · Environmental Health · doi:10.1186/1476-069x-10-78 · Cited by 210
The Politics of Landscape Value: A Case Study of Wind Farm Conflict in Rural Catalonia
Zografos, C., & Martínez-Alier, J. (2009) · Environment and Planning A: Economy and Space · doi:10.1068/a41208 · Cited by 147
Bouman, T., Steg, L., & Perlaviciute, G. (2021) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2021.04.010 · Cited by 100
Linnerud, K., Toney, P., Simonsen, M., & Holden, E. (2019) · Energy Policy · doi:10.1016/j.enpol.2019.04.039 · Cited by 27
Metadata
- Authors
- Devine‐Wright, P.
- Venue
- Wind Energy
- Publisher
- Wiley
- Published
- 2004-09-08
- Volume
- 8
- Issue
- 2
- Pages
- 125-139
- ISSN
- 1095-4244 (ISSN-L)
- 1099-1824
- OpenAlex
- W2151387608
- Cited by
- 1,309
- References
- 19
- FWCI
- 37.99
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.