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Values of farmers – Evidence from Germany
https://orcid.org/0000-0001-7117-5738
https://orcid.org/0000-0001-5958-5822
Abstract Against the background of fundamentally changing political and social requirements of agricultural production, the requirement profile of farmers has changed. The future of agriculture is widely discussed. To prepare a ground for future debates and policy programme design, it is essential to obtain an understanding of which values underlie the behaviour of farmers. This paper applies Schwartz's value theory to a large quantitative survey (N = 787) of German farmers. In addition to the overall value portrait, different value portraits within the sample of farmers are analysed. Farmers of the sample first and foremost prioritise self-transcendence values followed by openness to change. Conservation and self-enhancement are ranked to be less important within the value priorities of farmers. Furthermore, three different value portraits are identifiable within the sample. These groups differ significantly in their risk attitude and involvement in structural diversification. Implications for agricultural policy design and agricultural management are derived from the results.
Highlights Application of the Schwartz value portrait to a large farmer sample. Farmers are particularly self-transcendent and open to change. Unsupervised Machine Learning used to identify value clusters within the sample. Risk affinity and structural diversification occur with distinct openness to change. Rather conservative farmers more often pursue part-time farming.
Values of farmers – Evidence from Germany
https://orcid.org/0000-0001-7117-5738
https://orcid.org/0000-0001-5958-5822
Abstract Against the background of fundamentally changing political and social requirements of agricultural production, the requirement profile of farmers has changed. The future of agriculture is widely discussed. To prepare a ground for future debates and policy programme design, it is essential to obtain an understanding of which values underlie the behaviour of farmers. This paper applies Schwartz's value theory to a large quantitative survey (N = 787) of German farmers. In addition to the overall value portrait, different value portraits within the sample of farmers are analysed. Farmers of the sample first and foremost prioritise self-transcendence values followed by openness to change. Conservation and self-enhancement are ranked to be less important within the value priorities of farmers. Furthermore, three different value portraits are identifiable within the sample. These groups differ significantly in their risk attitude and involvement in structural diversification. Implications for agricultural policy design and agricultural management are derived from the results.
Highlights Application of the Schwartz value portrait to a large farmer sample. Farmers are particularly self-transcendent and open to change. Unsupervised Machine Learning used to identify value clusters within the sample. Risk affinity and structural diversification occur with distinct openness to change. Rather conservative farmers more often pursue part-time farming.
Values of farmers – Evidence from Germany
https://orcid.org/0000-0001-7117-5738
https://orcid.org/0000-0001-5958-5822
Abstract Against the background of fundamentally changing political and social requirements of agricultural production, the requirement profile of farmers has changed. The future of agriculture is widely discussed. To prepare a ground for future debates and policy programme design, it is essential to obtain an understanding of which values underlie the behaviour of farmers. This paper applies Schwartz's value theory to a large quantitative survey (N = 787) of German farmers. In addition to the overall value portrait, different value portraits within the sample of farmers are analysed. Farmers of the sample first and foremost prioritise self-transcendence values followed by openness to change. Conservation and self-enhancement are ranked to be less important within the value priorities of farmers. Furthermore, three different value portraits are identifiable within the sample. These groups differ significantly in their risk attitude and involvement in structural diversification. Implications for agricultural policy design and agricultural management are derived from the results.
Highlights Application of the Schwartz value portrait to a large farmer sample. Farmers are particularly self-transcendent and open to change. Unsupervised Machine Learning used to identify value clusters within the sample. Risk affinity and structural diversification occur with distinct openness to change. Rather conservative farmers more often pursue part-time farming.
Values of farmers – Evidence from Germany
Graskemper, Viktoria (author) / Yu, Xiaohua (author) / Feil, Jan-Henning (author)
Journal of Rural Studies ; 89 ; 13-24
2021-11-09
12 pages
Article (Journal)
Electronic Resource
English
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