4,632 rated or chosen profiles from 386 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 forest_contracts table. The others are listed under Related tables.
| Description | Choice experiment on result-based carbon-compensation contracts: 386 Finnish forest owners chose in six tasks between two contracts, described by an expert carbon plan, contract length (20, 30 or 40 years), a payment at the start of the contract in EUR per ha and a carbon payment (EUR 2-20 per m3), or neither. |
|---|---|
| Reference | Haltia, E. (2022). CONSOLE_WP3_Task3.2_ Pan-EU survey of farmers and other rural landowners_FI_2022.11.03_v01 [Data set]. Zenodo. |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.5281/zenodo.7276709 |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 386 |
|---|---|
| Rows (one per respondent, task and profile) | 4,632 |
| Tasks per respondent (most) | 6 |
| Profiles per task | 2 |
| Attributes | 4 |
| Tasks with no profile chosen | 1,564 |
| Topic | climate energy environment |
|---|---|
| A profile represents | policy |
| Country | FI |
| Language shown | fi |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which contract alternative do you choose? (contract 1, contract 2 or neither) (paraphrase) [choice, opt-out allowed] |
|---|
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.
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_forest_contracts", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("haltia_2022_carbon_forest_contracts", source="conj")
@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}
}
| 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 |