30,000 rated or chosen profiles from 3,000 respondents, in up to 5 tasks of 2 profiles varying on 6 attributes.
One of 2 tables from the same source; this one is the cn table. The others are listed under Related tables.
| Description | 3,000 Chinese online respondents each chose between 5 pairs of hypothetical coal-tax climate policies varying household cost, agreement type, decision process, large-emitter partners, number of member countries and compensation for coal regions, after a randomized information treatment on coal consumption. Outcome: forced choice. |
|---|---|
| Reference | Beiser-McGrath, L. F., & Bernauer, T. (2019). Commitment failures are unlikely to undermine public support for the Paris agreement. Nature Climate Change, 9(3), 248-252. |
| DOI | 10.1038/s41558-019-0414-z |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/D1QMP5 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 3,000 |
|---|---|
| Rows (one per respondent, task and profile) | 30,000 |
| Tasks per respondent (most) | 5 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 0 |
| Topic | climate energy environment |
|---|---|
| A profile represents | policy |
| Country | CN |
| Language shown | zh |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which of the two policies do you prefer? (translated) [choice, forced] |
|---|
attr_agreementattr_compensationattr_costattr_n_countriesattr_partnersattr_tax_decisionchoicecov_agecov_climate_serious_codecov_comprehension_othercov_comprehension_owncov_education_codecov_emp_fulltimecov_emp_parttimecov_emp_retiredcov_emp_unemployedcov_gendercov_income_codeidprofiletasktrial_info_treatment
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("beisermcgrath_2019_paris_cn", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("beisermcgrath_2019_paris_cn", source="conj")
@article{Beiser_McGrath_2019, title={Commitment failures are unlikely to undermine public support for the Paris agreement}, volume={9}, ISSN={1758-6798}, url={http://dx.doi.org/10.1038/s41558-019-0414-z}, DOI={10.1038/s41558-019-0414-z}, number={3}, journal={Nature Climate Change}, publisher={Springer Science and Business Media LLC}, author={Beiser-McGrath, Liam F. and Bernauer, Thomas}, year={2019}, month=Feb, pages={248–252} }
| 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 |