Data

Price and Values Impact Renewable Energy Support

University of New England, Australia
Phillips, Keri ; Hine, Donald ; Phillips, Wendy
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4226/95/5b04cf57991ca&rft.title=Price and Values Impact Renewable Energy Support&rft.identifier=10.4226/95/5b04cf57991ca&rft.publisher=University of New England, Australia&rft.description=The survey comprised demographic items and measures to assess both political and values orientations. These were followed by contingent choice questions to assess participants’ support for the 50% RET at eight cost amounts. Abstract: This study investigated how projected electricity prices and personal values influence public support for a 50% renewable energy target (RET) in Australia. In an online experiment, 404 participants rated their support for a 50% RET across eight projected increases in their quarterly power bills. Multi-level modelling indicated that: (1) support for the 50% RET fell as the projected price of electricity increased, (2) although participants with low self-enhancement values and high self-transcendent values were most supportive of the 50% RET, these value-based differences disappeared as projected electricity prices increased. We discuss the implications of these findings for energy policy design and communications.&rft.creator=Phillips, Keri &rft.creator=Hine, Donald &rft.creator=Phillips, Wendy &rft.date=2018&rft.coverage=northlimit=-9.6532506590176; southlimit=-44.986924119902; westlimit=111.57775729894; eastLimit=155.87463229895; projection=WGS84&rft.coverage=Australian Residents – all states.&rft_rights=Attribution-Noncommercial-No Derivatives 3.0 AU&rft_rights=http://creativecommons.org/licenses/by-nc-nd/3.0/au&rft_rights=Mediated&rft_rights=Rights holder: University of New England&rft_rights=Rights holder: School of Behavioural, Cognitive & Social Sciences&rft_rights=Rights holder: University of New England&rft_rights=Rights holder: School of Behavioural, Cognitive & Social Sciences&rft_rights=Contact the Chief Investigator to request access and reuse for the data.&rft_subject=Personal values&rft_subject=Electricity price&rft_subject=Renewable energy&rft_subject=Policy acceptability&rft_subject=Energy policy&rft_subject=Multilevel modelling&rft_subject=Social and Community Psychology&rft_subject=PSYCHOLOGY AND COGNITIVE SCIENCES&rft_subject=PSYCHOLOGY&rft_subject=Renewable Power and Energy Systems Engineering (excl. Solar Cells)&rft_subject=ENGINEERING&rft_subject=ELECTRICAL AND ELECTRONIC ENGINEERING&rft_subject=Renewable Energy not elsewhere classified&rft_subject=ENERGY&rft_subject=RENEWABLE ENERGY&rft.type=dataset&rft.language=English Access the data

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Attribution-Noncommercial-No Derivatives 3.0 AU

http://creativecommons.org/licenses/by-nc-nd/3.0/au

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Rights holder: University of New England

Rights holder: School of Behavioural, Cognitive & Social Sciences

Rights holder: University of New England

Rights holder: School of Behavioural, Cognitive & Social Sciences

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The survey comprised demographic items and measures to assess both political and values orientations. These were followed by contingent choice questions to assess participants’ support for the 50% RET at eight cost amounts. Abstract: This study investigated how projected electricity prices and personal values influence public support for a 50% renewable energy target (RET) in Australia. In an online experiment, 404 participants rated their support for a 50% RET across eight projected increases in their quarterly power bills. Multi-level modelling indicated that: (1) support for the 50% RET fell as the projected price of electricity increased, (2) although participants with low self-enhancement values and high self-transcendent values were most supportive of the 50% RET, these value-based differences disappeared as projected electricity prices increased. We discuss the implications of these findings for energy policy design and communications.

Issued: 2018-05-21

Date Submitted : 2018-05-21

Data time period: 2016-11-02 to 2016-12-01

This dataset is part of a larger collection

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155.87463,-9.65325 155.87463,-44.98692 111.57776,-44.98692 111.57776,-9.65325 155.87463,-9.65325

133.72619479894,-27.32008738946

text: Australian Residents – all states.

Identifiers