Willingness to pay for reduced visual disamenities from offshore wind farms in Denmark

Ladenburg, Jacob; Dubgaard, Alex

doi:10.1016/j.enpol.2007.01.023

Cited by 223 publications

(142 citation statements)

References 20 publications

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“…Ladenburg and Dubgaard (2007) show a similar result for offshore wind parks, and Jones and Eiser (2010) identify this effect to be especially pronounced for residents who are very concerned about landscape intrusions. Drechsler et al (2011) and Molnarova et al (2012) report analogous findings, whereas DevineWright (2005) and Ladenburg et al (2013) also review studies presenting no or a reverse relationship.…”

Section: Stated Preference Approaches: Contingent Valuation or Discresupporting

confidence: 59%

Sowing the Wind and Reaping the Whirlwind? The Effect of Wind Turbines on Residential Well-Being

Krekel

Zerrahn

2015

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. This series presents research findings based either directly on data from the German SocioEconomic Panel study (SOEP) or using SOEP data as part of an internationally comparable data set (e.g. CNEF, ECHP, LIS, LWS, CHER/PACO). SOEP is a truly multidisciplinary household panel study covering a wide range of social and behavioral sciences: economics, sociology, psychology, survey methodology, econometrics and applied statistics, educational science, political science, public health, behavioral genetics, demography, geography, and sport science. Terms of use: Documents inThe decision to publish a submission in SOEPpapers is made by a board of editors chosen by the DIW Berlin to represent the wide range of disciplines covered by SOEP. There is no external referee process and papers are either accepted or rejected without revision. Papers appear in this series as works in progress and may also appear elsewhere. They often represent preliminary studies and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be requested from the author directly.Any opinions expressed in this series are those of the author(s) and not those of DIW Berlin.Research disseminated by DIW Berlin may include views on public policy issues, but the institute itself takes no institutional policy positions. AbstractWe investigate the effect of the physical presence of wind turbines on residential wellbeing in Germany, using panel data from the German Socio-Economic Panel (SOEP) and a unique novel panel data set on more than 20,000 wind turbines for the time period between 2000 and 2012. Using a Geographical Information System (GIS), we calculate the proximity between households and the nearest wind turbine as the most important determinant of their disamenities, e.g. visual interference into landscape aesthetics.Our unique novel panel data set on wind turbines, which was collected at the regional level, includes their exact geographical coordinates and construction dates. This allows estimating the causal effect of the physical presence of wind turbines on residential wellbeing, using a difference-in-differences design. To ensure comparability of the treatment and control group, we apply propensity-score and novel spatial matching techniques based on exogenous weather data and geographical locations of residence, respectively.We show that the construction of a wind turbine within a treatment radius of 4,000 m...

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Section: Stated Preference Approaches: Contingent Valuation or Discresupporting

confidence: 59%

Sowing the Wind and Reaping the Whirlwind? The Effect of Wind Turbines on Residential Well-Being

Krekel

Zerrahn

2015

SSRN Journal

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“…Unlike previous studies that focused exclusively on the visual impact (e.g. Ladenburg and Dubgaard 2007;Krueger et al 2011), this survey includes both amenity and ecological impacts of a windfarm, thus also assessing the relative importance of these issues from a welfare perspective. The fourth attribute is the cost component specified as additional tax to be paid annually by every household in the region.…”

Section: The Surveymentioning

confidence: 99%

Are Fast Responses More Random? Testing the Effect of Response Time on Scale in an Online Choice Experiment

Bӧrger

2015

Environ Resource Econ

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Scepticism over stated preference surveys conducted online revolves around the concerns over "professional respondents" who might rush through the questionnaire without sufficiently considering the information provided. To gain insight on the validity of this phenomenon and test the effect of response time on choice randomness, this study makes use of a recently conducted choice experiment survey on ecological and amenity effects of an offshore windfarm in the UK. The positive relationship between self-rated and inferred attribute attendance and response time is taken as evidence for a link between response time and cognitive effort. Subsequently, the generalised multinomial logit model is employed to test the effect of response time on scale, which indicates the weight of the deterministic relative to the error component in the random utility model. Results show that longer response time increases scale, i.e. decreases choice randomness. This positive scale effect of response time is further found to be non-linear and wear off at some point beyond which extreme response time decreases scale. While response time does not systematically affect welfare estimates, higher response time increases the precision of such estimates. These effects persist when self-reported choice certainty is controlled for. Implications of the results for online stated preference surveys and further research are discussed.

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“…Like Krueger et al [31] and Ladenburg and Dubgaard [34], Knapp et al [20] spatially elicited preferences by testing three offshore project locations: 4.8, 9.7, and 16.1 km (distances in the study were shown to respondents in miles at 3, 6 and 10, respectively). This CE was just one of a few to employ both WTP and WTA measures through a dichotomous choice of whether respondents would be supportive of the project with an opt-out alternative, similar to Westerberg et al [28].…”

Section: Knapp Et Almentioning

confidence: 99%

“…Ladenburg and Dubgaard [23,34] were the first economic valuation studies to address preferences for the reducing visual disamenities of offshore wind farms and were part of a larger study on offshore wind farms [38,39]. These studies tested the spatial attributes of offshore wind power locations as a distance attribute (12, 18 or 50 km relative to 8 km from the coast) and how the spatial location of offshore wind farms influence the preferences for the distance attribute (see later).…”

Section: Ladenburg and Dubgaardmentioning

confidence: 99%

See 1 more Smart Citation

How Spatial Relationships Influence Economic Preferences for Wind Power—A Review

Knapp

Ladenburg²

2015

Energies

Self Cite

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An increasing number of studies in the environmental and resource economic literature suggest that preferences for changes or improvements in environmental amenities, from water quality to recreation, are spatially heterogeneous. One of these effects in particular, distance decay, suggests that respondents exhibit a higher willingness to pay (WTP) the closer they live to a proposed environmental improvement and vice versa. The importance of spatial effects cannot be underestimated. Several of these studies find significant biases in aggregate WTP values, and therefore social welfare, from models that disregard spatial factors. This relationship between spatial aspects and preferences, however, remains largely ignored in the non-market valuation literature applied to valuing preferences for renewable energy, generally, and wind power, specifically. To our knowledge, fourteen peer-reviewed studies have been conducted to estimate stated preferences (SP) for onshore and/or offshore wind development, yet less than half of those utilize any measure to account for the relationship between spatial effects and preferences. Fewer still undertake more robust measures that account for these spatially dependent relationships, such as via GIS, outside incorporating a single 'distance' attribute within the choice experiment (CE) referenda. This paper first reviews the methodologies of the SP wind valuation studies that have integrated measure(s) to account for spatial effects. We then categorize these effects into three dimensions-distance to a proposed wind project, distance to existing wind project(s), and cumulative effects-supporting each with a discussion of significant findings, including those OPEN ACCESSEnergies 2015, 8 6178 found in the wind hedonic and acceptance literature. Policy implications that can be leveraged to maximize social welfare when siting future wind projects as well as recommendations for additional research to control for preference spatial heterogeneity in wind CEs are also posited.

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Willingness to pay for reduced visual disamenities from offshore wind farms in Denmark

Cited by 223 publications

References 20 publications

Sowing the Wind and Reaping the Whirlwind? The Effect of Wind Turbines on Residential Well-Being

Sowing the Wind and Reaping the Whirlwind? The Effect of Wind Turbines on Residential Well-Being

Are Fast Responses More Random? Testing the Effect of Response Time on Scale in an Online Choice Experiment

How Spatial Relationships Influence Economic Preferences for Wind Power—A Review

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