haltia_2022_carbon_farm_contracts

4,908 rated or chosen profiles from 409 respondents, in up to 6 tasks of 2 profiles varying on 4 attributes.

One of 2 tables from the same source; this one is the farm_contracts table. The others are listed under Related tables.

About this table

DescriptionChoice experiment on result-based carbon-compensation contracts: 409 Finnish farmers chose in six tasks between two contracts, described by an expert carbon plan, contract length (5, 10 or 15 years), a payment at the start of the contract in EUR per ha and a carbon payment (EUR 5-50 per t), or neither.
ReferenceHaltia, E. (2022). CONSOLE_WP3_Task3.2_ Pan-EU survey of farmers and other rural landowners_FI_2022.11.03_v01 [Data set]. Zenodo.
LicenceCC BY 4.0
Source datahttps://doi.org/10.5281/zenodo.7276709

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

Respondents409
Rows (one per respondent, task and profile)4,908
Tasks per respondent (most)6
Profiles per task2
Attributes4
Tasks with no profile chosen1,191

Design

Topicclimate energy environment
A profile representspolicy
CountryFI
Language shownfi
Language of stored levelsen
Randomization restrictionsunknown
Task orderrecorded in the deposit
Profile positionrecorded in the deposit

Outcomes:

choiceWhich contract alternative do you choose? (contract 1, contract 2 or neither) (paraphrase) [choice, opt-out allowed]

Columns

attr_carbon_paymentattr_contract_lengthattr_payment_startattr_planchoicecov_educationcov_genderidprofiletask

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("haltia_2022_carbon_farm_contracts", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("haltia_2022_carbon_farm_contracts", source="conj")

How to cite

@misc{https://doi.org/10.5281/zenodo.7276709,
  doi = {10.5281/ZENODO.7276709},
  url = {https://zenodo.org/record/7276709},
  author = {Haltia, Emmi},
  title = {CONSOLE_WP3_Task3.2_ Pan-EU survey of farmers and other rural landowners_FI_2022.11.03},
  publisher = {Zenodo},
  year = {2022},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0