karlosheva_2016_offshore_wind_mpa

28,800 rated or chosen profiles from 800 respondents, in up to 12 tasks of 3 profiles varying on 3 attributes.

About this table

DescriptionChoice experiment: 800 Estonian respondents chose in 12 choice sets between the status quo and two alternatives that put nothing, a marine protected area, a wind farm or an 'eco' wind farm on each of two shoals (Apollo Shoal, Western Shoals), at an annual cost.
ReferenceKarlõševa, A., Nõmmann, S., Nõmmann, T., Urbel-Piirsalu, E., Budziński, W., Czajkowski, M., & Hanley, N. (2016). Marine trade-offs: Comparing the benefits of off-shore wind farms and marine protected areas. Energy Economics, 55, 127-134.
DOI10.1016/j.eneco.2015.12.022
LicenceCC BY-NC 3.0
Source datahttps://doi.org/10.17632/j4zwwz8gh7.1

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents800
Rows (one per respondent, task and profile)28,800
Tasks per respondent (most)12
Profiles per task3
Attributes3
Tasks with no profile chosen0

Design

Topicclimate energy environment
A profile representspolicy
CountryEE
Language shownunknown
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceChoice among the status quo and two alternative plans for the Apollo Shoal and the Western Shoals (paraphrase; questionnaire not available) [choice, forced]

Columns

attr_apollo_shoalattr_costattr_western_shoalschoicecov_birth_yearcov_gender_codeidprofiletasktrial_design_version

The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.

Get the data

Licence: CC BY-NC 3.0 — non-commercial use only.

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("karlosheva_2016_offshore_wind_mpa", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("karlosheva_2016_offshore_wind_mpa", source="conj")

How to cite

@article{Karl_eva_2016, title={Marine trade-offs: Comparing the benefits of off-shore wind farms and marine protected areas}, volume={55}, ISSN={0140-9883}, url={http://dx.doi.org/10.1016/j.eneco.2015.12.022}, DOI={10.1016/j.eneco.2015.12.022}, journal={Energy Economics}, publisher={Elsevier BV}, author={Karlõševa, Aljona and Nõmmann, Sulev and Nõmmann, Tea and Urbel-Piirsalu, Evelin and Budziński, Wiktor and Czajkowski, Mikołaj and Hanley, Nick}, year={2016}, month=Mar, pages={127–134} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0