Data on subjective barriers and determinants to crop insurance adoption in France.

DOI

We present here data on crop insurance adoption by farmers in France. Data were collected via an original questionnaire survey available online from February 2021 to October 2021. We collected 465 responses of which 288 were complete. The survey contained 57 questions divided into 5 parts: 1/ Farm characteristics; 2/ Crop insurance behaviour and preferences; 3/ Determinants of crop insurance adoption; 4/ Expectation for the future; 5/ Socioeconomic characteristics. We use different methodologies (binary or multiple choices questions, experimental tests, Likert scales, self-ranking, etc.) in order to assess farmers preferences for crop insurance adoption. This data set was used for the first time in the paper: Koenig, R. and Brunette M. 2023. “Subjective barriers and determinants to crop insurance adoption” WP BETA 2023-25.

Identifier
DOI https://doi.org/10.57745/TAE0PD
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/TAE0PD
Provenance
Creator Koenig, Richard ORCID logo; Brunette, Marielle ORCID logo
Publisher Recherche Data Gouv
Contributor Koenig, Richard; Montagné-Huck, Claire
Publication Year 2023
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Koenig, Richard (BETA UMR ; Université de Lorraine ; Université de Strasbourg ; AgroParisTech ; CNRS ; INRAE ; France); Montagné-Huck, Claire (BETA UMR ; Université de Lorraine ; Université de Strasbourg ; AgroParisTech ; CNRS ; INRAE ; France)
Representation
Resource Type Dataset
Format text/tab-separated-values; application/pdf
Size 196642; 442307
Version 1.1
Discipline Agriculture, Forestry, Horticulture; Social Sciences; Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Economics; Life Sciences; Social and Behavioural Sciences; Soil Sciences