Data on the stated adoption decisions of Swiss farmers for variable rate nitrogen fertilization technologies

Open access
Date
2022-04Type
- Journal Article
Abstract
We present data on the stated preference for the adoption of variable rate technologies from 418 crop farmers in Switzerland. The online survey was conducted online in spring 2021. It consisted of two parts: 1) a choice experiment and 2) questions about farmers' characteristics, expectations and be-liefs, as well as their risk preferences. In the choice experi-ment, farmers were presented with eight consecutive choice tasks. Each task consisted of three alternatives, two hypo-thetical scenarios for variable rate technologies adoption and the status quo option. We used a split-sample approach and varied the additional profit margin gained through higher yields, label premiums or subsidies for one subsample (focussing on the willigness to accept) and additional cost (acquisition, maintenance and other costs) for the other sub-sample (focussing on the willigness to pay). Non-monetary attributes include 1) ownership of the technology; 2) potential to increase nitrogen use efficiency and thus reduce nitrogen losses to the environment; 3) uncertainties about the actual impact of the technology on yields and profits (reliability); 4) support in case of technical difficulties. We also collected data on farmers' experiences, attitudes and goals, as well as their risk preferences. Additionally, the survey data were matched with data from the cantonal farm census, which contains information on farm characteristics. (C) 2022 The Author(s). Published by Elsevier Inc. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000549168Publication status
publishedExternal links
Journal / series
Data in BriefVolume
Pages / Article No.
Publisher
ElsevierSubject
Precision agriculture; Variable rate technologies; Technology adoption; Choice modellingFunding
172433 - Reconciling innovative farming practices and networks to enable sustainable development of smart Swiss farming systems (SNF)
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