bulman_2025_fdi_brazil

22,720 rated or chosen profiles from 2,272 respondents, in up to 5 tasks of 2 profiles varying on 7 attributes.

One of 10 tables from the same source; this one is the brazil table. The others are listed under Related tables.

About this table

DescriptionBrazilian adults (TGM Research online panel, July 2024) chose between 5 pairs of hypothetical foreign investment projects varying the firm's country of origin (China, USA, Japan, India, Saudi Arabia), project type, local jobs, migrant workers, labor-rights record, environmental plan and bribery accusations. 2,272 respondents; forced choice; levels in Portuguese as displayed.
ReferenceBulman, D., Leng, N., & Ratigan, K. (2025). Firm's source country or project characteristics? Survey experiments on preferences for Chinese investment in the Global South. The Chinese Journal of International Politics, 18(3), 267.
DOI10.1093/cjip/poaf006
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/YGXPVC

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

Respondents2,272
Rows (one per respondent, task and profile)22,720
Tasks per respondent (most)5
Profiles per task2
Attributes7
Tasks with no profile chosen0

Design

Topicinternational economy
A profile representspolicy
CountryBR
Language shownpt
Language of stored levelspt
Randomization restrictionsobserved in the data (not documented by the source): The migrant-workers level names the firm's country of origin ('20 workers from China'), so source country and migrant country always coincide (checked); no source states other rules; other level pairs all occur.
Task orderrecorded in the deposit
Profile positionrecorded 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:

choiceWhich project do you prefer? (paraphrase) [choice, forced]

Columns

attr_briberyattr_environment_planattr_labor_violationsattr_local_jobsattr_migrant_workersattr_project_typeattr_sourceattrpos_briberyattrpos_environment_planattrpos_labor_violationsattrpos_local_jobsattrpos_migrant_workersattrpos_project_typeattrpos_sourcechoicecov_age_group_codecov_aware_chinese_projectcov_collegecov_gendercov_income_codecov_left_rightcov_region_codecov_urbancov_user_languagecov_voted_incumbentidprofiletasktrial_language

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

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("bulman_2025_fdi_brazil", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("bulman_2025_fdi_brazil", source="conj")

How to cite

@article{Bulman_2025, title={Firm’s Source Country or Project Characteristics? Survey Experiments on Preferences for Chinese Investment in the Global South}, volume={18}, ISSN={1750-8924}, url={http://dx.doi.org/10.1093/cjip/poaf006}, DOI={10.1093/cjip/poaf006}, number={3}, journal={The Chinese Journal of International Politics}, publisher={Oxford University Press (OUP)}, author={Bulman, David Janoff and Leng, Ning and Ratigan, Kerry}, year={2025}, pages={267–293} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0