Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1016/j.agsy.2023.103800
Lizenz creative commons licence
Titel (primär) Farm typologies for understanding farm systems and improving agricultural policy
Autor Huber, R.; Bartkowski, B.; Brown, C.; El Benni, N.; Feil, J.-H.; Grohmann, P.; Leonhardt, H.; Mitter, H.; Müller, B. ORCID logo
Quelle Agricultural Systems
Erscheinungsjahr 2024
Department OEKON; OESA
Band/Volume 213
Seite von art. 103800
Sprache englisch
Topic T5 Future Landscapes
Keywords highlight; Farm type; Farm systems; Policy target group; Policy process; Policy instrument


Farm typologies help to identify patterns across a wide range of farm systems and describe heterogeneity in agriculture concisely. They can also support the design of agricultural policies by providing information and knowledge about policy target groups. For example, voluntary agri-environmental schemes could be tailored to specific agricultural landscapes and farm types. Farm typologies, however, are often developed from scratch, with limited connection to previous studies and policy making.


The objective of this study is to clarify the purposes of farm typologies in research and agricultural policy making and to develop a framework that allows to increase the usefulness and usability of farm typologies for agricultural policy making.


Based on a review of 13 systematically identified overview studies on farm typologies, we develop a framework that establishes connections between the purposes of farm typologies along the different stages of the policy process.


We find multiple purposes for farm typologies, the two most common of which are for understanding the characteristics, heterogeneity, and development of farm systems and for policy making. The newly developed framework suggests that connecting knowledge across these purposes could improve the validity, transferability, and relevance of farm typologies for agricultural policy making. Our framework also provides an entry point for encouraging cooperation between developers and users of typologies, and for the improvement of typologies through new data (including behavioural data) and methods such as machine learning. We conclude that future research can build on the existing work on farm typologies but must be aware of the specific challenges that are associated with the use of farm typologies in the policy process.


Knowledge of the prospects and challenges of using farm typologies allows to increase the usefulness and usabilityof these typologies and can contribute to the design of targeted and tailored agricultural policy instruments. By increasing the acceptance, perceived fairness, and legitimacy, this can improve their effectiveness and efficiency, which is urgently needed for a successful transformation to a more sustainable agricultural sector.

dauerhafte UFZ-Verlinkung
Huber, R., Bartkowski, B., Brown, C., El Benni, N., Feil, J.-H., Grohmann, P., Leonhardt, H., Mitter, H., Müller, B. (2024):
Farm typologies for understanding farm systems and improving agricultural policy
Agric. Syst. 213 , art. 103800 10.1016/j.agsy.2023.103800