Political efficacy and familiarity as predictors of attitudes towards electric transmission lines in the United States
Abstract
Public opposition to the construction (i.e., siting) of new high voltage overhead transmission lines is not a new or isolated phenomenon. Past research has posited a variety of reasons, applied general theories, and has provided empirical evidence to explain public opposition. The existing literature, while clarifying many elements of the issue, does not yet fully explain the complexities underlying this public opposition phenomenon. As a result, the current study demonstrated how two overlooked factors, people’s sense of political efficacy and their familiarity (i.e., prior exposure) with transmission lines, explained attitudes of support and opposition to siting new power lines.
- Authors:
-
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Idaho State Univ., Pocatello, ID (United States)
- Washington State Univ., Pullman, WA (United States)
- Boise State Univ., Boise, ID (United States)
- Univ. of Idaho, Moscow, ID (United States)
- Brigham Young Univ., Provo, UT (United States)
- Publication Date:
- Research Org.:
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1255245
- Report Number(s):
- INL/JOU-14-32640
Journal ID: ISSN 2214-6296; PII: S221462961630072X
- Grant/Contract Number:
- AC07-05ID14517
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Energy Research and Social Science
- Additional Journal Information:
- Journal Volume: 17; Journal Issue: C; Journal ID: ISSN 2214-6296
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 24 POWER TRANSMISSION AND DISTRIBUTION; high voltage overhead transmission lines; political efficacy; familiarity; place attachment
Citation Formats
Joe, Jeffrey C., Hendrickson, Kelsie, Wong, Maria, Kane, Stephanie L., Solan, David, Carlisle, Juliet E., Koehler, David, Ames, Daniel P., and Beazer, Robert. Political efficacy and familiarity as predictors of attitudes towards electric transmission lines in the United States. United States: N. p., 2016.
Web. doi:10.1016/j.erss.2016.04.010.
Joe, Jeffrey C., Hendrickson, Kelsie, Wong, Maria, Kane, Stephanie L., Solan, David, Carlisle, Juliet E., Koehler, David, Ames, Daniel P., & Beazer, Robert. Political efficacy and familiarity as predictors of attitudes towards electric transmission lines in the United States. United States. https://doi.org/10.1016/j.erss.2016.04.010
Joe, Jeffrey C., Hendrickson, Kelsie, Wong, Maria, Kane, Stephanie L., Solan, David, Carlisle, Juliet E., Koehler, David, Ames, Daniel P., and Beazer, Robert. Wed .
"Political efficacy and familiarity as predictors of attitudes towards electric transmission lines in the United States". United States. https://doi.org/10.1016/j.erss.2016.04.010. https://www.osti.gov/servlets/purl/1255245.
@article{osti_1255245,
title = {Political efficacy and familiarity as predictors of attitudes towards electric transmission lines in the United States},
author = {Joe, Jeffrey C. and Hendrickson, Kelsie and Wong, Maria and Kane, Stephanie L. and Solan, David and Carlisle, Juliet E. and Koehler, David and Ames, Daniel P. and Beazer, Robert},
abstractNote = {Public opposition to the construction (i.e., siting) of new high voltage overhead transmission lines is not a new or isolated phenomenon. Past research has posited a variety of reasons, applied general theories, and has provided empirical evidence to explain public opposition. The existing literature, while clarifying many elements of the issue, does not yet fully explain the complexities underlying this public opposition phenomenon. As a result, the current study demonstrated how two overlooked factors, people’s sense of political efficacy and their familiarity (i.e., prior exposure) with transmission lines, explained attitudes of support and opposition to siting new power lines.},
doi = {10.1016/j.erss.2016.04.010},
journal = {Energy Research and Social Science},
number = C,
volume = 17,
place = {United States},
year = {Wed May 18 00:00:00 EDT 2016},
month = {Wed May 18 00:00:00 EDT 2016}
}
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