Surveying the Farmer Survey: A Synthesis of Research Practices in the Netherlands, Slovenia and Sweden
Thomas Slijper et al.
Abstract
Research based on farmer surveys is a cornerstone of agricultural economics. Farmer surveys provide unique insights into behavioural variables—such as values, motivations, attitudes, behaviours, and preferences—that are unavailable in secondary datasets. However, the decline in farm numbers across most European countries, combined with a growing number of surveys, is posing a threat to farmer survey research. This paper synthesises current practices in farmer surveys in the Netherlands, Slovenia, and Sweden. Our approach is meta‐scientific, drawing on a survey aimed at researchers responsible for 34 farmer surveys conducted between January 2019 and August 2024. This analysis is complemented by a document analysis and critical reflection workshops. We identify three key challenges: (i) limited consistency and standardisation of socio‐economic survey questions, (ii) long surveys, which are associated with high attrition and low response rates, and (iii) low adoption of open science practices. To address these challenges, we propose a set of best practices to enhance the transparency, comparability, standardisation, and reusability of farmer survey data. These best practices aim to strengthen the quality of survey‐based research in agricultural economics and ensure that farmer surveys continue to support evidence‐based policymaking.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.