4,204 rated or chosen profiles from 573 respondents, in up to 4 tasks of 2 profiles varying on 7 attributes.

About this table

Description	Elected US local policymakers (mayors, county executives, council members) compared pairs of hypothetical local climate plans varying type of property tax, energy efficiency standards, economic relief, party endorsement, international participants, start date and cost-benefit projection, choosing the preferred plan and rating each plan on a five-point support scale. 573 respondents, up to 4 tasks of 2 profiles.
Reference	Arias, S. B., & Schwartz, J. A. (2026). Think globally, act locally: The determinants of local policy makers' support for climate policy. Perspectives on Politics.
DOI	10.1017/S1537592726106070
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/4OHGNA

Notes

Conjoint table (irw_conjoint_2). Paired conjoint of hypothetical local climate plans shown to elected US local policymakers; choice = the plan the respondent prefers (forced, no opt-out); rating = support for each plan on a five-point scale (5 = strongly support, 4 = somewhat support; labels of 1-3 not stated), stored raw. Attribute row positions are recorded (attrpos_) and the weight used in the replication code is kept. 573 respondents (matches the article), 2,102 tasks; 18 profiles lack a rating.

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Design

Topic	climate energy environment
A profile represents	policy
Country	US
Language shown	en
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 plans the respondent prefers (article: 'choose which plan they prefer'; exact wording not in the deposit) (paraphrase) [choice, forced]
rating	rating of each plan individually on a five-point support scale (article: 'rate each plan individually'; exact wording not in the deposit) (paraphrase) [rating, 1 (unknown) to 5 (strongly support)]

Columns

attr_cost_benefitattr_economic_reliefattr_efficiency_standardsattr_international_participantsattr_party_endorsementattr_plan_begins_inattr_property_taxattrpos_cost_benefitattrpos_economic_reliefattrpos_efficiency_standardsattrpos_international_participantsattrpos_party_endorsementattrpos_plan_begins_inattrpos_property_taxchoicecov_gender_codecov_gov_typecov_party_id_codecov_statecov_survey_weightidprofileratingtask

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 needed Browse on Redivisexplore and query Croissant 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("arias_2026_local_climate_plans", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("arias_2026_local_climate_plans", source="conj")

How to cite

@article{Arias_2026, title={Think Globally, Act Locally: The Determinants of Local Policy Makers’ Support for Climate Policy}, ISSN={1541-0986}, url={http://dx.doi.org/10.1017/S1537592726106070}, DOI={10.1017/s1537592726106070}, journal={Perspectives on Politics}, publisher={Cambridge University Press (CUP)}, author={Arias, Sabrina B. and Schwartz, Joshua A.}, year={2026}, month=Sept, pages={1–20} }

Respondents	573
Rows (one per respondent, task and profile)	4,204
Tasks per respondent (most)	4
Profiles per task	2
Attributes	7
Tasks with no profile chosen	0

IRW version	v584
Redivis dataset	irw_conjoint_2 v1.4
Redivis dataset DOI	10.57761/hk97-wv30
Manifest pin for this IRW version	v1.4
Metadata source	irw_meta v44.0

arias_2026_local_climate_plans