Projects per year
Abstract
Agricultural support payments are a significant position in public budgets, and the legitimacy of such payments is subject to continuing debate. The legitimacy rests on the social acceptance of citizens for support payments to farmers, which is the focus of this study. Social acceptance is investigated using evaluations of farm and farmer descriptions in a factorial survey experiment. The results reveal higher acceptance of payments for farms demonstrating enhanced animal welfare, biodiversity and a lower carbon footprint. The acceptance of support payments is negatively associated with payment amount, but payments to farmers who are financially struggling are more accepted than payments to profitable farmers; indicating respondent preferences that align with the need justice principle. Study findings can be used to inform priorities for legitimate policies of agricultural support schemes, to identify areas of consensus or disagreement regarding social acceptance of support, and to facilitate effective communication on agricultural support policy.
Original language | English |
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Article number | qoae016 |
Journal | Q Open |
Early online date | 28 Jun 2024 |
DOIs | |
Publication status | First published - 28 Jun 2024 |
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Dive into the research topics of 'Perceived Legitimacy of Agricultural Support Schemes: An Investigation Using Factorial Survey Experiments'. Together they form a unique fingerprint.Projects
- 1 Active
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RESAS 22-27: SRUC-b3-1 Ensuring Positive Behavioural Change For Farmers Towards Best Practice For Clean Growth: Economic And Behavioural Investigations.
Glenk, K. (PI), Lawson, M. (CoI), Burns, J. (CoI), Toma, L. (CoI), Eory, V. (CoI), Pate, L. (CoI), Shrestha, S. (CoI), Thomson, S. (CoI), Thompson, B. (CoI), McMillan, J. (CoI), Begho, T. (CoI) & Barnes, A. (CoI)
Scottish Government: Rural & Environment Science & Analytical Services
1/04/22 → 31/03/27
Project: Research
Datasets
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Supplementary Material/Data: Perceived Legitimacy of Agricultural Support Schemes: An Investigation Using Factorial Survey Experiments
Glenk, K. (Creator), Liebe, U. (Owner), Burns, J. (Creator) & Thomson, S. (Owner), Zenodo, 3 Jul 2024
Dataset