2017
DOI: 10.1016/j.jenvman.2017.09.001
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Understanding public perception of hydraulic fracturing: a case study in Spain

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Cited by 21 publications
(25 citation statements)
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“…Yet other domestic US studies [40] find that citizens have limited familiarity with fracking processes and their potential impacts, but have increased familiarity and association with environmental impacts, correlating strongly with opposition fracking. This was also found in smaller, non-representative sample data of public perceptions [47]; and mirrored in a Spanish national-level case study, where issues of proximity and prospect of shale gas extraction were strong influencers of public opinion [48]. In contrast, surveys in Texas communities found limited knowledge of fracking processes and impacts, that in turn led to misconceptions related to environmental health risks and possibly increase public risk concerns [49].…”
Section: Discussion -Public Perceptions Of Unconventional Oil and Gasmentioning
confidence: 74%
“…Yet other domestic US studies [40] find that citizens have limited familiarity with fracking processes and their potential impacts, but have increased familiarity and association with environmental impacts, correlating strongly with opposition fracking. This was also found in smaller, non-representative sample data of public perceptions [47]; and mirrored in a Spanish national-level case study, where issues of proximity and prospect of shale gas extraction were strong influencers of public opinion [48]. In contrast, surveys in Texas communities found limited knowledge of fracking processes and impacts, that in turn led to misconceptions related to environmental health risks and possibly increase public risk concerns [49].…”
Section: Discussion -Public Perceptions Of Unconventional Oil and Gasmentioning
confidence: 74%
“…This study has some theoretical contributions by providing theoretical insights that help to understand the determinants of residents’ acceptance of local SGE. While the majority of qualitative studies have examined the determinants of the public’s attitudes with the use of general population samples (e.g., [ 33 , 34 , 35 ]), this study focuses on the decision-making process of people living nearby SGE activities. Moreover, our research framework fits the data well, and results from the SEM largely confirm the hypothesized causal relationships: perceived benefits and perceived risks directly affect residents’ acceptance, while fairness, knowledge, and trust indirectly affect residents’ acceptance through risk and benefit perceptions.…”
Section: Discussionmentioning
confidence: 99%
“…Whitmarsh et al [ 7 ] conducted an online survey of the UK public and also found more knowledge was associated with more favorable attitudes of SGE using the linear regression analysis. Using samples from nationwide studies conducted in the US [ 34 ] and Spain [ 35 ], results from the regression analysis even showed that knowledge negatively influences the acceptance of SGE.…”
Section: Theoretical Frameworkmentioning
confidence: 99%
“…Theoretically, local residents’ acceptance of SGE can be improved by their positive beliefs since SGE contributes to local development by increasing employment and income opportunities, improving public infrastructures, and fostering community pride [ 23 , 24 , 25 ]. Moreover, local residents’ acceptance of SGE can also be weaken by their negative beliefs as SGE poses a level of threat to health and environment, especially when the regulations are not sufficient to address these threatens [ 25 , 26 , 27 ]. Therefore, the following hypotheses are proposed.…”
Section: Conceptual Frameworkmentioning
confidence: 99%
“…The measurement scale for Acceptance , Risk , Benefit , Trust , Affect , and Fairness contained 12 specific indicators ( Table 1 ), which were derived from several scales in relevant empirical studies with high reliability and validity [ 8 , 21 , 23 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 ]. Moreover, a set of socio-demographic factors, as suggested by previous studies [ 8 , 14 , 20 , 21 , 22 , 28 , 29 , 36 , 37 ] has also been included for model estimation.…”
Section: Survey Design and Datamentioning
confidence: 99%