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Data on farmers’ acceptance of results-based agri-environmental schemes

The Data presented in this article contains information on farmers’ acceptance of results-based agri-environmental schemes (AES) collected from German farmers in an online survey in spring 2020. Acceptance is measured in the willingness to participate and the intensity of participation in terms of a...

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Autores principales: Massfeller, Anna, Meraner, Manuela, Hüttel, Silke, Uehleke, Reinhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679460/
https://www.ncbi.nlm.nih.gov/pubmed/36426047
http://dx.doi.org/10.1016/j.dib.2022.108642
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author Massfeller, Anna
Meraner, Manuela
Hüttel, Silke
Uehleke, Reinhard
author_facet Massfeller, Anna
Meraner, Manuela
Hüttel, Silke
Uehleke, Reinhard
author_sort Massfeller, Anna
collection PubMed
description The Data presented in this article contains information on farmers’ acceptance of results-based agri-environmental schemes (AES) collected from German farmers in an online survey in spring 2020. Acceptance is measured in the willingness to participate and the intensity of participation in terms of area willing to enroll for the scheme. Personal, farm characteristics and behavioral factors have been considered. We used a between subject design to introduce a social nudge (i.e. information treatment) for one group of participants. The data was collected via the software LimeSurvey. We chose a two-step approach e.g. participants were asked for participation first and then only those who would be willing to participate were asked for the intensity in terms of area willing to enroll. This data is related to the paper Farmers’ acceptance of results-based agri-environmental schemes: a German perspective[1].
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spelling pubmed-96794602022-11-23 Data on farmers’ acceptance of results-based agri-environmental schemes Massfeller, Anna Meraner, Manuela Hüttel, Silke Uehleke, Reinhard Data Brief Data Article The Data presented in this article contains information on farmers’ acceptance of results-based agri-environmental schemes (AES) collected from German farmers in an online survey in spring 2020. Acceptance is measured in the willingness to participate and the intensity of participation in terms of area willing to enroll for the scheme. Personal, farm characteristics and behavioral factors have been considered. We used a between subject design to introduce a social nudge (i.e. information treatment) for one group of participants. The data was collected via the software LimeSurvey. We chose a two-step approach e.g. participants were asked for participation first and then only those who would be willing to participate were asked for the intensity in terms of area willing to enroll. This data is related to the paper Farmers’ acceptance of results-based agri-environmental schemes: a German perspective[1]. Elsevier 2022-09-27 /pmc/articles/PMC9679460/ /pubmed/36426047 http://dx.doi.org/10.1016/j.dib.2022.108642 Text en © 2022 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Massfeller, Anna
Meraner, Manuela
Hüttel, Silke
Uehleke, Reinhard
Data on farmers’ acceptance of results-based agri-environmental schemes
title Data on farmers’ acceptance of results-based agri-environmental schemes
title_full Data on farmers’ acceptance of results-based agri-environmental schemes
title_fullStr Data on farmers’ acceptance of results-based agri-environmental schemes
title_full_unstemmed Data on farmers’ acceptance of results-based agri-environmental schemes
title_short Data on farmers’ acceptance of results-based agri-environmental schemes
title_sort data on farmers’ acceptance of results-based agri-environmental schemes
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679460/
https://www.ncbi.nlm.nih.gov/pubmed/36426047
http://dx.doi.org/10.1016/j.dib.2022.108642
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