Who cares about Norway's energy transition? A survey experiment about citizen associations and petroleum

Tvinnereim, Endre; Lægreid, Ole Martin; Fløttum, Kjersti

doi:10.1016/j.erss.2019.101357

Cited by 11 publications

(6 citation statements)

References 39 publications

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“…Energy Research and Social Scienc e has had numerous articles touching on various aspects of a just energy transition. Tvinnereim et al (2017) look at the issues from a national perspective in Norway, while Biresselioglu et al (2020) consider the wider European issues for individuals and collectives [12] , [13] . Johnstone et al (2020) explore some of the non-technical issues of energy transitions [14] .…”

Section: Rootsmentioning

confidence: 99%

Just transitions: Histories and futures in a post-COVID world

Henry

Bazilian

Markuson³

2020

Energy Research & Social Science

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The energy landscape is changing dramatically. Communities are being impacted in different ways. Positive impacts include reductions in air pollution and new tax revenues from renewables. Negative impacts include lost jobs and foregone tax revenues after closure of large fossil fuels generation facilities and coal mines. The contours of this transition have been further altered by recent events such as the global oil market crash and the COVID-19 pandemic. While economic and social issues can be addressed through thoughtful policy design, the pace of change, and the extent to which communities have a say in what comes next, matter. Though the technical issues of transitions are well-researched, the socio-economic aspects of the energy transition remain both emergent and essential to an equitable transition to a low-carbon energy system. This article provides an overview of the history and current status of just transitions.

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Section: Rootsmentioning

confidence: 99%

Just transitions: Histories and futures in a post-COVID world

Henry

Bazilian

Markuson³

2020

Energy Research & Social Science

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“…The results demonstrate low levels of systems thinking as the mental models mainly included direct connections, suggesting low levels of cognitive engagement with the energy transition, echoing findings that the energy transition may not be very salient among citizens (Tvinnereim et al, 2020). The most frequently included connections were direct connections from Solar panels, Hydropower, Wind farms, Energy efficient houses, and Public transport to the Energy transition.…”

Section: Discussionmentioning

confidence: 59%

“…People rely upon these categorizations when they think about the possible impacts of these pathways on human life, nature, or the economy (Böhm et al, 2019(Böhm et al, , 2020. Other studies show that citizens' knowledge about specific aspects of the energy transition tends to be rather vague and unspecific (Böhm et al, 2018;Tvinnereim et al, 2020). Such research has identified country differences in perceptions of possible pathways; for example, German university students were, on average, more positive about individual actions, whereas political measures were viewed more positively among a sample of Norwegian university students (Böhm et al, 2020).…”

Section: Mental Models Of the Energy Transitionmentioning

confidence: 99%

“…Research has found that climate change worry influences policy support for climate change (Bouman et al, 2020), and the energy transition specifically (Kammermann & Dermont, 2018;Thomas et al, 2022). Furthermore, Norwegian respondents who worry more about climate change, are more likely to bring up topics around fossil renewables compared to those who are less worried when asked for associations with the terms "transition", "oil and gas", and "energy" (Tvinnereim et al, 2020). Yet, no research has investigated the association between climate change worry and mental models of the energy transition using a more comprehensive approach that goes beyond free association tasks.…”

Section: Understanding Differences In Mental Models Of the Energy Tra...mentioning

confidence: 99%

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Expert and citizen perceptions of the energy transition: A mental model approach

van den Broek,

de Jager,

Doran

et al. 2024

Preprint

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How actors perceive the transition pathways towards sustainable energy production and use is likely to influence their support in their everyday behaviour and political engagement toward the energy transition. Mapping actor’s mental models of the energy transition can provide key insights into such perceptions. The present study is the first to systematically map mental models of the energy transition, compare mental models between actor groups, and explain differences in mental models with political orientation and worry about climate change. We mapped mental models about the energy transition among a sample of experts (N=25), and representative samples of Dutch (N=299) and Norwegian citizens (N=313). Participants visualised their perceptions of the causal relations of energy transition pathways by drawing a diagram using a standardised tool to map mental models (M-Tool). The results demonstrate (1) a key focus in the mental models on renewable energy generation such as solar panels, wind farms, and hydropower, (2) that expert mental models are more focused on policy pathways compared to citizen mental models, (3) that mental models of more right-winged actors focus less on individual behaviour than left-winged actors, and (4) that climate change worry results in more focus on individual behaviour and policy pathways in the mental models. Policymakers could use these insights when developing communications concerning the energy transition, for example, by tailoring their messages to the mental models of the target group.

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“…We apply advances from natural language processing on the collected textual data, the method called topic modelling (TM), that has been developed in the last two decades thanks to the rapid development of computer technology and machine learning algorithms (Albalawi et al, 2020;Bing et al, 2020). 1 TM has been applied to text classification in a wide range of areas including patent data (Venugopalan & Rai, 2015;Chen et al, 2017;Savin et al, 2022c) and scientific publications (Chen et al, 2020;Savin & Teplyakov, 2022), political debates and petitions (Hagen, 2018;Wei et al, 2020), survey open-questions (Tvinnereim and Fløttum, 2015;Tvinnereim et al, 2017Tvinnereim et al, , 2021Liu et al, 2021;, firm descriptions in business platforms (Savin et al, 2022a;Żbikowski and Antosiuk, 2021) and publications in mass media (Lenz & Winker, 2020;Park et al, 2016).…”

Section: Introductionmentioning

confidence: 99%