The impact of on-shore and off-shore wind turbine farms on property prices

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

The impact of on-shore and off-shore wind turbine farms on property prices. / Jensen, Cathrine Ulla; Panduro, Toke Emil; Lundhede, Thomas; Nielsen, Anne Sofie Elberg; Dalsgaard, Mette; Thorsen, Bo Jellesmark.

In: Energy Policy, Vol. 116, 2018, p. 50-59.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Jensen, CU, Panduro, TE, Lundhede, T, Nielsen, ASE, Dalsgaard, M & Thorsen, BJ 2018, 'The impact of on-shore and off-shore wind turbine farms on property prices', Energy Policy, vol. 116, pp. 50-59. https://doi.org/10.1016/j.enpol.2018.01.046

APA

Jensen, C. U., Panduro, T. E., Lundhede, T., Nielsen, A. S. E., Dalsgaard, M., & Thorsen, B. J. (2018). The impact of on-shore and off-shore wind turbine farms on property prices. Energy Policy, 116, 50-59. https://doi.org/10.1016/j.enpol.2018.01.046

Vancouver

Jensen CU, Panduro TE, Lundhede T, Nielsen ASE, Dalsgaard M, Thorsen BJ. The impact of on-shore and off-shore wind turbine farms on property prices. Energy Policy. 2018;116:50-59. https://doi.org/10.1016/j.enpol.2018.01.046

Author

Jensen, Cathrine Ulla ; Panduro, Toke Emil ; Lundhede, Thomas ; Nielsen, Anne Sofie Elberg ; Dalsgaard, Mette ; Thorsen, Bo Jellesmark. / The impact of on-shore and off-shore wind turbine farms on property prices. In: Energy Policy. 2018 ; Vol. 116. pp. 50-59.

Bibtex

@article{026c35d66dfb4104a854ae3864502150,
title = "The impact of on-shore and off-shore wind turbine farms on property prices",
abstract = "We present the results of a large-scale analysis on how on-shore and off-shore wind turbines affect the property prices of nearby single family residential and vacation homes in Denmark. We find that on-shore wind turbines negatively affect the price of surrounding properties to a distance of three kilometers. The negative impact increases with the number of wind turbines at a declining marginal rate but declines with distance. In the case of off-shore wind turbine farms, we do not find a significant effect of having an off-shore wind farm in view from a property itself or from the nearest beach, likely because the closest off-shore turbine is 9 km from the closest traded home. We illustrate the policy relevance of our findings by providing maps showing how the marginal impact of a wind turbine varies across the landscape according to the spatial distribution of home density and homes values in the proximity of a wind turbine site. The results suggest that ceteris paribus, wind turbine farms should be built quite far away from residential areas with turbines gathered in larger wind farms rather than installed as single turbines.",
keywords = "Hedonic models, Difference-in-difference, Environmental valuation, Economics, Wind energy",
author = "Jensen, {Cathrine Ulla} and Panduro, {Toke Emil} and Thomas Lundhede and Nielsen, {Anne Sofie Elberg} and Mette Dalsgaard and Thorsen, {Bo Jellesmark}",
year = "2018",
doi = "10.1016/j.enpol.2018.01.046",
language = "English",
volume = "116",
pages = "50--59",
journal = "Energy Policy",
issn = "0301-4215",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - The impact of on-shore and off-shore wind turbine farms on property prices

AU - Jensen, Cathrine Ulla

AU - Panduro, Toke Emil

AU - Lundhede, Thomas

AU - Nielsen, Anne Sofie Elberg

AU - Dalsgaard, Mette

AU - Thorsen, Bo Jellesmark

PY - 2018

Y1 - 2018

N2 - We present the results of a large-scale analysis on how on-shore and off-shore wind turbines affect the property prices of nearby single family residential and vacation homes in Denmark. We find that on-shore wind turbines negatively affect the price of surrounding properties to a distance of three kilometers. The negative impact increases with the number of wind turbines at a declining marginal rate but declines with distance. In the case of off-shore wind turbine farms, we do not find a significant effect of having an off-shore wind farm in view from a property itself or from the nearest beach, likely because the closest off-shore turbine is 9 km from the closest traded home. We illustrate the policy relevance of our findings by providing maps showing how the marginal impact of a wind turbine varies across the landscape according to the spatial distribution of home density and homes values in the proximity of a wind turbine site. The results suggest that ceteris paribus, wind turbine farms should be built quite far away from residential areas with turbines gathered in larger wind farms rather than installed as single turbines.

AB - We present the results of a large-scale analysis on how on-shore and off-shore wind turbines affect the property prices of nearby single family residential and vacation homes in Denmark. We find that on-shore wind turbines negatively affect the price of surrounding properties to a distance of three kilometers. The negative impact increases with the number of wind turbines at a declining marginal rate but declines with distance. In the case of off-shore wind turbine farms, we do not find a significant effect of having an off-shore wind farm in view from a property itself or from the nearest beach, likely because the closest off-shore turbine is 9 km from the closest traded home. We illustrate the policy relevance of our findings by providing maps showing how the marginal impact of a wind turbine varies across the landscape according to the spatial distribution of home density and homes values in the proximity of a wind turbine site. The results suggest that ceteris paribus, wind turbine farms should be built quite far away from residential areas with turbines gathered in larger wind farms rather than installed as single turbines.

KW - Hedonic models

KW - Difference-in-difference

KW - Environmental valuation

KW - Economics

KW - Wind energy

U2 - 10.1016/j.enpol.2018.01.046

DO - 10.1016/j.enpol.2018.01.046

M3 - Journal article

VL - 116

SP - 50

EP - 59

JO - Energy Policy

JF - Energy Policy

SN - 0301-4215

ER -

ID: 196437256