75,876 rated or chosen profiles from 12,646 respondents, in up to 3 tasks of 2 profiles varying on 4 attributes.
One of 2 tables from the same source; this one is the transfers table. The others are listed under Related tables.
| Description | Online respondents in ten large emitting countries (Dynata, Oct 2021, n=12,646) chose in 3 tasks which of two hypothetical developing countries should receive financial and technical climate assistance; countries varied unconditional and conditional emission commitments, income level and who monitors; forced choice. |
|---|---|
| Reference | Aklin, M., Buntaine, M. T., & Mildenberger, M. (forthcoming). Public opinion and the political logic of international climate pledges. Global Environmental Politics. |
| Licence | CC0 1.0 |
| Source data | https://osf.io/u8z3n/ |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 12,646 |
|---|---|
| Rows (one per respondent, task and profile) | 75,876 |
| Tasks per respondent (most) | 3 |
| Profiles per task | 2 |
| Attributes | 4 |
| Tasks with no profile chosen | 0 |
| Topic | climate energy environment |
|---|---|
| A profile represents | place |
| Country | BR, CN, DE, IN, ID, JP, MX, ZA, GB, US |
| Language shown | pt, zh, de, en, id, ja, es, zu |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | inferred from row order |
Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.
Outcomes:
| choice | Which country would you prefer to see financial and technical assistance given to? [choice, forced] |
|---|
attr_conditional_commitmentattr_income_levelattr_monitorattr_unconditional_commitmentchoicecov_comprehension_checkcov_countryidprofiletask
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("aklin_2026_climate_transfers", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("aklin_2026_climate_transfers", source="conj")
@article{https://doi.org/10.17605/osf.io/u8z3n,
doi = {10.17605/OSF.IO/U8Z3N},
url = {https://osf.io/u8z3n/},
author = {{Michaƫl Aklin} and {Mark Buntaine} and {Matto Mildenberger}},
title = {Conditional Climate Pledges and Public Preferences for Ambitious Climate Policy},
publisher = {OSF},
year = {2021},
copyright = {Creative Commons Zero v1.0 Universal}
}
| 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 |