What influences the probability of wind farm planning approval: Evidence from Ireland

Rensburg, Thomas M. van; Kelley, Hugh; Jeserich, Nadine

doi:10.1016/j.ecolecon.2014.12.012

Cited by 39 publications

(25 citation statements)

References 45 publications

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“…Jobert et al [56] underline that local actors affect acceptance of wind energy. Van Rensburg et al [58] obtain the same result by focusing on local authority decisions. Read et al [57] identify several local community attributes related to wind farm project opposition, partially confirming the results of Jobert et al [56].…”

Section: The State Of the Artsupporting

confidence: 57%

“…Meyerhoff [24] confirms this result, also introducing a spatial model in the analysis. On the other hand, van Rensburg et al [58], analyzing 345 wind farm applications and planning authority decisions in Ireland, have pointed out that proximity to residential areas does not affect planning outcomes; visual intrusion and identity of appellants appear to be more important.…”

Section: The State Of the Artmentioning

confidence: 99%

“…Through this decision, we have also been assisted by the substantial research on the main drivers of public acceptance/opposition towards on-shore wind farms, see, among others, Aitken [53], Cass and Walker [54], Devine-Wright [55], Jobert et al [56] Read et al [57], van Rensburg et al [58], Rowlands et al [59], and Stigka et al [60]. Commenting on the attitude of the people towards RE, we have focused on four main questions that are of interest in the empirical analysis due to their relevance to the Umbria Region: This last topic is related to the impact of existing wind farms on the attitude and preferences of respondents.…”

Section: Topics Of Interestmentioning

confidence: 99%

See 2 more Smart Citations

Assessing the Determinants of Renewable Electricity Acceptance Integrating Meta-Analysis Regression and a Local Comprehensive Survey

Bigerna

Polinori

2015

Sustainability

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Abstract:In dealing with renewable electricity (RE), individuals are involved both as end-consumers on the demand side and as stakeholders (citizens) in the local production process on the supply side. Empirical evidence shows that in many countries, consumers are willing to pay a significant amount to facilitate adoption of RE. By contrast, environmental externalities are often the cause of strong opposition to RE adoption if local communities are involved as stakeholders in wind, solar or biomass investment projects. Looking at the literature on willingness to pay and on willingness to accept, we have investigated RE acceptance mechanisms. First, we have used the meta-analysis to assess the major determinants of RE acceptance on both demand and supply sides. Meta-analysis has provided some insights useful for managing field research on an onshore wind farm enlargement project located in the Umbria region. Meta-analysis and survey results confirm that the local community plays a central role in local RE acceptance. Furthermore, people who have previous experience with windmills require less compensation, or are willing to pay more, for RE development.Results suggest that these attributes should be included in future research to improve understanding of determinants of RE acceptance.

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Section: The State Of the Artsupporting

confidence: 57%

Section: The State Of the Artmentioning

confidence: 99%

Section: Topics Of Interestmentioning

confidence: 99%

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Assessing the Determinants of Renewable Electricity Acceptance Integrating Meta-Analysis Regression and a Local Comprehensive Survey

Bigerna

Polinori

2015

Sustainability

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“…However, information attained from PCA and the ordinal logistic regressions can be used to identify the different effects of beliefs on intention. This method provides more detailed in-formation than obtained from regression analysis (Läpple and Kelley, 2013;van Rensburg et al, 2015). Therefore, two importance measures were constructed; namely, net importance (I) and absolute importance (Ĩ) of each respective PCA component.…”

Section: Examining the Heterogeneity Of Tbp Beliefs Across Clustersmentioning

confidence: 99%

Factors underlying farmers' intentions to adopt best practices: The case of paddock based grazing systems

Hyland

Heanue

McKillop

et al. 2018

Agricultural Systems

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“…There are many published articles related to consumers' preference for renewable energy investments and acceptance of renewable energy projects [13][14][15]. There is also an overlapping literature on preferences for climate policies [16].…”

Section: Previous Researchmentioning

confidence: 99%

When a Good Is a Bad (or a Bad Is a Good)—Analysis of Data from an Ambiguous Nonmarket Valuation Setting

et al. 2018

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This paper analyses data from a contingent valuation experiment carried out in a context with large degree of preference heterogeneity and valuation ambiguity. Despite this challenge, by implementing estimation of an unrestricted valuation function on pooled data from two elicitation formats, utilizing all preference information available from the survey, we are able to estimate welfare measures with an acceptable degree of statistical confidence. It turns out that an offshore wind farm, a priori believed to constitute a bad that people would be willing to pay to avoid, instead was a good that people would be willing to forego under compensation. This was true on average but not for all study participants. Two key determinants of preferences were spatial proximity to the proposed wind farm and perceptions of the visual impacts of wind turbines. Individuals who would be near and thought wind turbines are "ugly" had a mean willingness to pay to avoid the wind farm of about $508 per household per year. In contrast, those who would be far away and perceived wind turbines to be "beautiful" had a negative mean willingness to pay to avoid the wind farm of about −$595 per household per year.

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What influences the probability of wind farm planning approval: Evidence from Ireland

Cited by 39 publications

References 45 publications

Assessing the Determinants of Renewable Electricity Acceptance Integrating Meta-Analysis Regression and a Local Comprehensive Survey

Assessing the Determinants of Renewable Electricity Acceptance Integrating Meta-Analysis Regression and a Local Comprehensive Survey

Factors underlying farmers' intentions to adopt best practices: The case of paddock based grazing systems

When a Good Is a Bad (or a Bad Is a Good)—Analysis of Data from an Ambiguous Nonmarket Valuation Setting

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