65,648 rated or chosen profiles from 4,103 respondents, in up to 8 tasks of 2 profiles varying on 6 attributes.
| Description | Online panel respondents in Denmark, Germany, Poland and Portugal (Jan-Feb 2022; n = 4,103) each made 8 forced choices between two designs of a future renewable regional electricity supply varying technology, transmission expansion, land use, import share, price change and ownership. |
|---|---|
| Reference | Mey, F., Lilliestam, J., Wolf, I., & Tröndle, T. (2024). Visions for our future regional electricity system – citizen preferences in four EU countries. iScience. |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.5281/zenodo.10463074 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 4,103 |
|---|---|
| Rows (one per respondent, task and profile) | 65,648 |
| Tasks per respondent (most) | 8 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 0 |
| Topic | climate energy environment |
|---|---|
| A profile represents | policy |
| Country | DK, DE, PL, PT |
| Language shown | da, de, pl, pt |
| Language of stored levels | en |
| Randomization restrictions | observed in the data (not documented by the source): the two profiles of a task share a level far less often than independent draws would give (technology 7% vs 33%; 5-level attributes 6-10% vs 20%): overlap between the two options was limited; no cross-attribute combination is missing |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead.
Outcomes:
| choice | Choice between two hypothetical designs of the future renewable electricity supply in your region (paraphrase; report.md 'select between two options') [choice, forced] |
|---|
attr_importsattr_landattr_ownershipattr_priceattr_technologyattr_transmissionchoicecov_areacov_birth_yearcov_climate_concerncov_countrycov_education_encov_gendercov_importance_climatecov_importance_costcov_importance_landscapecov_importance_socialcov_income_encov_party_idcov_q17_origin_countrycov_q18_origin_eucov_q20_transitioncov_q21_environmentalcov_q22_climate_protectioncov_q23_democratisationcov_q24_resourcescov_q25_deploymentcov_regioncov_renewables_nearbycov_years_regionidprofiletask
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.
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("mey_2024_regional_electricity", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("mey_2024_regional_electricity", source="conj")
@misc{https://doi.org/10.5281/zenodo.10463074,
doi = {10.5281/ZENODO.10463074},
url = {https://zenodo.org/doi/10.5281/zenodo.10463074},
author = {Mey, Franziska and Lilliestam, Johan and Wolf, Ingo and Tröndle, Tim},
keywords = {Europe, renewable energy, preferences, choice experiment, survey, energy system, Bayes, multilevel model},
language = {en},
title = {Raw data related to "Mey et al (2024): Visions for our future regional electricity system"},
publisher = {Zenodo},
year = {2024},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint v4.2 |
| Redivis dataset DOI | 10.57761/qkye-q530 |
| Manifest pin for this IRW version | v4.2 |
| Metadata source | irw_meta v44.0 |