Will, M., Biffi, S. orcid.org/0000-0002-7474-389X, Tyllianakis, E. et al. (2 more authors) (2026) Farm-level survey data on participation in agri-environmental schemes from regions in Germany, Czechia and England. Data in Brief, 66. 112823. ISSN: 2352-3409
Abstract
This dataset contains survey data from 250 farmers located in Saxony (Germany), southern Moravia (Czech Republic), and England and their decisions on adopting agri-environmental schemes (AES). The online survey was conducted between September 2021 and April 2022 and included mostly closed-ended questions and a discrete choice experiment (DCE). The survey data covers farm characteristics, personal values and socio-demographic questions, as well as experiences with existing AES and factors influencing farmers’ participation in specific schemes. With the DCE, we collected preferences of farmers across case studies for a selection of contract characteristics. Respondents had to choose between four alternative AES and a “no scheme” option in which farmers would not receive any funding for agri-environmental practices. In addition to the offered payment level, contract length, bureaucratic effort and advisory support were key attributes that differed between the schemes.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2026 The Authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Agri-environment and climate schemes; Discrete choice experiment; Farmer behaviour; Policy design; Sustainable agriculture |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Ecology & Global Change (Leeds) |
| Date Deposited: | 06 Aug 2026 11:51 |
| Last Modified: | 06 Aug 2026 11:51 |
| Status: | Published |
| Publisher: | Elsevier |
| Identification Number: | 10.1016/j.dib.2026.112823 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:244168 |

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