Combining spatial modeling and choice experiments for the optimal spatial allocation of wind turbines

Drechsler, Martín; Ohl, Cornelia; Meyerhoff, Jürgen; Eichhorn, Marcus; Monsees, Jan

doi:10.1016/j.enpol.2011.04.015

“…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. Taken together, however, the literature suggests that proximity between households and wind turbines negatively affects attitudes towards installations.…”

Section: Stated Preference Approaches: Contingent Valuation or Discrementioning

confidence: 84%

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

Krekel

¹

,

Zerrahn

²

2015

SSRN Journal

1

0

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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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“…GIS-based studies also have produced spatial models to identify optimal distances to both settlements and natural habitats with endangered species, so as to offer the best available trade-offs between ecological impact and energy production output [40]. A related study investigated trade-offs between ecological impacts of wind energy production [41]. Other GIS-based studies focused on finding suitable areas in terms of visual impacts [42], while others used more comprehensive criteria that covered technical, physical, anthropological, environmental as well as economic constraints [43].…”

Section: Wind Energy Assessment By Gis-based Approachesmentioning

confidence: 98%

Wind energy assessment considering geographic and environmental restrictions in Sweden: A GIS-based approach

Siyal

¹

,

Mörtberg

²

,

Mentis

³

et al. 2015

Energy

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“…With respect to the magnitude of wind power externalities, Drechsler et al (2011) estimate in a choice experiment that external costs make up approximately 14 percent of the total investment costs.…”

Section: Valuation Studiesmentioning

confidence: 99%

Electricity Externalities, Siting, and the Energy Mix: A Survey

Welsch

¹

2016

IRERE

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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. Terms of use: Documents in AbstractWhile early literature on electricity externalities was largely concerned with fossil fuel power generation and the associated emissions, nuclear accidents (Chernobyl, Fukushima) and the large-scale deployment of renewable energy facilities have spurred a wave of research on the externalities of nuclear power and renewable energies. The issue is important because many countries have started reconsidering their energy policies, and the externalities from electricity generation play a major role in the benefit-cost analysis of relevant options. This paper reviews the literature on electricity-related externalities. It starts by discussing their nature and the methods employed in valuing them. It finds that appraisals of electricity externalities are complicated because of heterogeneity of both the externalities themselves and the methods applied in measuring them. The paper reviews valuation studies of the externalities from fossil fuel, nuclear and renewable sources, and it discusses the relevance of their findings for the siting of plants and the electricity mix. It concludes by pointing out gaps in our knowledge about electricity externalities that deserve to be addressed in future research.

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Combining spatial modeling and choice experiments for the optimal spatial allocation of wind turbines

Cited by 65 publications

References 13 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

Wind energy assessment considering geographic and environmental restrictions in Sweden: A GIS-based approach

Electricity Externalities, Siting, and the Energy Mix: A Survey

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