brooks_2026_mining_argentina

19,166 rated or chosen profiles from 2,424 respondents, in up to 4 tasks of 2 profiles varying on 6 attributes.

About this table

DescriptionArgentine online panel respondents (IPSOS; n = 2,424, 2,267 after the authors' speed rule) chose between two hypothetical critical-mineral mining projects in 4 tasks and rated each 1-5 stars; projects varied in local community (agricultural/indigenous), owner (YPF/Chinese/North American), new jobs, importance for green technologies, damage to water and soil, and government tax incentives.
ReferenceBrooks, S. M., Lacroix Eussler, S., & Voeten, E. (2026). Environmental, economic, and geopolitical trade-offs in critical mineral mining projects: Evidence from a conjoint experiment in Argentina. The Extractive Industries and Society, 27, 101925.
DOI10.1016/j.exis.2026.101925
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/DVN/TSNBBM

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

Respondents2,424
Rows (one per respondent, task and profile)19,166
Tasks per respondent (most)4
Profiles per task2
Attributes6
Tasks with no profile chosen0

Design

Topicclimate energy environment
A profile representspolicy
CountryAR
Language shownes
Language of stored levelses
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choice¿Qué proyecto es mejor? [choice, forced]
ratingCalifica cada proyecto de 1 estrella (malo) a 5 estrellas (bueno) [rating, 0 (1 estrella (malo)) to 5 (5 estrellas (bueno))]

Columns

attr_communityattr_damageattr_greenattr_jobsattr_ownerattr_taxattrpos_communityattrpos_damageattrpos_greenattrpos_jobsattrpos_ownerattrpos_taxchoicecov_age_groupcov_attention_passcov_duration_seccov_education_household_headcov_gendercov_provincecov_vote_first_roundidprofileratingtasktrial_delegate

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("brooks_2026_mining_argentina", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("brooks_2026_mining_argentina", source="conj")

How to cite

@article{Brooks_2026, title={Environmental, economic, and geopolitical trade-offs in critical mineral mining projects: Evidence from a conjoint experiment in Argentina}, volume={27}, ISSN={2214-790X}, url={http://dx.doi.org/10.1016/j.exis.2026.101925}, DOI={10.1016/j.exis.2026.101925}, journal={The Extractive Industries and Society}, publisher={Elsevier BV}, author={Brooks, Sarah M. and Lacroix Eussler, Santiago and Voeten, Erik}, year={2026}, month=Sept, pages={101925} }

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