Heterogeneity in willingness to pay for the location of offshore wind power development: An application of the willingness to pay space model

被引:17
作者
Ladenburg, Jacob [1 ]
Skotte, Maria [2 ]
机构
[1] Tech Univ Denmark DTU, Dept Technol Management & Econ DTU MAN, Sustainabil Div, Prod Torvet 424,024, DK-2800 Lyngby, Denmark
[2] Environm Cluster Denmark, CLEAN, Radhuspladsen 59 4, DK-1550 Copenhagen V, Denmark
关键词
Choice experiments; Visual costs; Offshore wind farms; Willingness to pay space; Heterogeneity; Socio-demographics; Certainty in choice; DISCRETE-CHOICE EXPERIMENTS; MITIGATE HYPOTHETICAL BIAS; TEST-RETEST RELIABILITY; OPT-OUT REMINDER; TEMPORAL STABILITY; STATED PREFERENCES; VISUAL DISAMENITY; FARMS; VALUATION; IMPACT;
D O I
10.1016/j.energy.2021.122900
中图分类号
O414.1 [热力学];
学科分类号
摘要
Preferences for developing 3600 MW offshore wind farms in Denmark are estimated based on data from a choice experiment. The variation in willingness to pay for the location of offshore wind power development at 8,12,18, or 50 km from shore is analysed as a function of gender, age, education, income, wind turbine viewshed, and beach visits. With a willingness to pay space mixlogit model, we find that willingness to pay varies significantly as a function of the age, income level, viewshed to offshore wind farms, and beach visit frequency of the respondents. (c) 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页数:12
相关论文
共 50 条
[21]   Environmental Perception and Willingness to Pay for Electric Vehicles: An Analysis Using the Lens Model [J].
Dong, Yinan .
SAGE OPEN, 2025, 15 (02)
[22]   Logit model assumptions and estimated willingness to pay for forest conservation in southern Finland [J].
Haltia, Emmi ;
Kuuluvainen, Jari ;
Ovaskainen, Ville ;
Pouta, Eija ;
Rekola, Mika .
EMPIRICAL ECONOMICS, 2009, 37 (03) :681-691
[23]   A new conceptual model for consumer willingness to pay premium prices for sustainable products [J].
Nazarenko, Ekaterina ;
Saleh, Mahmoud Ibraheam .
SOCIAL RESPONSIBILITY JOURNAL, 2024, 20 (08) :1437-1450
[24]   Citizen Preferences and BCA: A Model of Willingness-to-Pay behind a Veil of Ignorance [J].
Beeson, Morgan ;
Chilton, Susan ;
Metcalf, Hugh ;
Nielsen, Jytte Seested .
JOURNAL OF BENEFIT-COST ANALYSIS, 2024, 15 :183-205
[25]   Willingness to pay for multiple dimensions of green open space: Applying a spatial hedonic approach [J].
Hu, Ziwei ;
Kobori, Hotaka ;
Swallow, Brent ;
Qiu, Feng .
CANADIAN JOURNAL OF AGRICULTURAL ECONOMICS-REVUE CANADIENNE D AGROECONOMIE, 2022, 70 (03) :179-201
[26]   Does location of the households' matters? Identifying the households' willingness to pay and preference heterogeneity in advancement of vulnerable ecosystem services: An approach of choice experiment [J].
Ali, Muhammad Abu Sufyan ;
Zhang, Zhihe ;
Khan, Sufyan Ullah ;
Khan, Arshad Ahmad ;
Musa, Mohammad ;
Rahman, Preethu ;
Hayat, Yousaf .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (11) :29859-29873
[27]   Evaluation of Consumer Preferences for Poultry Products in Ghana using Utility Space and Willingness to Pay Space Models [J].
Owusu, Rebecca ;
VON Abubakari, Fatimah ;
Acheampong, Lawrence ;
Nuer, Alexander tetteh kwasi .
CURRENT RESEARCH IN NUTRITION AND FOOD SCIENCE, 2025, 13 (01) :391-404
[28]   Acceptability of and willingness to pay for using a smartphone-based vaccination application in a Vietnamese cohort [J].
Bach Xuan Tran ;
Nguyen, Quang N. ;
Dang, Anh Kim ;
Giang Thu Vu ;
Vuong Quan Hoang ;
Phuong Viet La ;
Duc Anh Hoang ;
Nhue Van Dam ;
Thu Trang Vuong ;
Long Hoang Nguyen ;
Huong Thi Le ;
Latkin, Carl A. ;
Ho, Cyrus S. H. ;
Ho, Roger C. M. .
PATIENT PREFERENCE AND ADHERENCE, 2018, 12 :2583-2591
[29]   Unraveling preference heterogeneity in willingness-to-pay for enhanced road safety: A hybrid approach of machine learning and quantile regression [J].
Subhan, Fazle ;
Ali, Yasir ;
Zhao, Shengchuan .
ACCIDENT ANALYSIS AND PREVENTION, 2023, 190
[30]   Spatial heterogeneity of ecosystem services: a distance decay approach to quantify willingness to pay for improvements in Heihe River Basin ecosystems [J].
Khan, Sufyan Ullah ;
Khan, Imran ;
Zhao, Minjuan ;
Chien, Hsiaoping ;
Lu, Qian ;
Ali, Muhammad Abu Sufyan ;
Khan, Arshad Ahmad ;
Fahad, Shah .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 26 (24) :25247-25261