19,014 rated or chosen profiles from 3,169 respondents, in up to 6 tasks of 1 profile varying on 7 attributes.
| Description | German adults (online panel, 2021; n = 3,169) voted in a hypothetical referendum on 6 successive proposals for a levy on meat, whose justification (animal welfare or climate) and differentiation (uniform or by meat type / housing stage) were randomized between respondents and whose level rose across the 6 proposals; outcomes are a yes vote and a no vote (abstention possible). |
|---|---|
| Reference | Perino, G., & Schwickert, H. (2023). Animal welfare is a stronger determinant of public support for meat taxation than climate change mitigation in Germany. Nature Food, 4(2), 160-169. |
| DOI | 10.1038/s43016-023-00696-y |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/YNMG1R |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 3,169 |
|---|---|
| Rows (one per respondent, task and profile) | 19,014 |
| Tasks per respondent (most) | 6 |
| Profiles per task | 1 |
| Attributes | 7 |
| Tasks with no profile chosen | 12,046 |
| Topic | climate energy environment |
|---|---|
| A profile represents | policy |
| Country | DE |
| Language shown | de |
| Language of stored levels | de |
| Randomization restrictions | yes (stated by the source): justification and differentiation are fixed per respondent (between subjects); the levy-table rows are meat types under the climate justification and housing stages under animal welfare; levy amounts are fixed by proposal number (1-6, shown in rising order) and differentiation; revenue use always matches the justification |
| 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 | Stimmen Sie diesem Vorschlag zu? (Ja. Ich stimme für die Einführung dieser Abgabe.) [choice, opt-out allowed] |
|---|---|
| choice_against | Stimmen Sie diesem Vorschlag zu? (Nein. Ich stimme gegen die Einführung dieser Abgabe.) [choice, opt-out allowed] |
attr_justificationattr_levy_basisattr_levy_row1attr_levy_row2attr_levy_row3attr_levy_row4attr_revenue_usechoicechoice_againstcov_agecov_duration_seccov_educationcov_gendercov_incomecov_regionidprofiletasktrial_belief_timing
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("perino_2023_meat_tax", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("perino_2023_meat_tax", source="conj")
@article{Perino_2023, title={Animal welfare is a stronger determinant of public support for meat taxation than climate change mitigation in Germany}, volume={4}, ISSN={2662-1355}, url={http://dx.doi.org/10.1038/s43016-023-00696-y}, DOI={10.1038/s43016-023-00696-y}, number={2}, journal={Nature Food}, publisher={Springer Science and Business Media LLC}, author={Perino, Grischa and Schwickert, Henrike}, year={2023}, month=Feb, pages={160–169} }
| 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 |