Abstract
Precision farming (PF) technologies can help to mitigate the environmental impact of agriculture by reducing fertiliser use and irrigation while saving cost for the farmer. However, these technologies are not widely adopted in Europe. We study farmers' willingness to adopt PF technologies based on a choice experiment. Among other determinants, we explore the role of social influence for the valuation of PF technology features. The data are analysed using mixed and latent class logit models. Our results show that knowledge of fellow farmers who adopted the technology positively influences the valuation of PF technology features, stressing the importance of networks.
| Original language | English |
|---|---|
| Pages (from-to) | 33-81 |
| Number of pages | 49 |
| Journal | European Review of Agricultural Economics |
| Volume | 49 |
| Issue number | 1 |
| Early online date | 11 Dec 2021 |
| DOIs | |
| Publication status | Published - Jan 2022 |
Bibliographical note
Publisher Copyright:© 2020 The Author(s) 2020. Published by Oxford University Press on behalf of the Foundation for the European Review of Agricultural Economics.
Funding
| Funders | Funder number |
|---|---|
| Horizon 2020 Framework Programme | 633945 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 12 Responsible Consumption and Production
Keywords
- choice experiment
- choice modelling
- social networks
- sustainable agriculture
- technology adoption
VU Research Profile
- Science for Sustainability
Fingerprint
Dive into the research topics of 'Farmer preferences for adopting precision farming technologies: A case study from Italy: a case study from Italy'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver