Farmer preferences for adopting precision farming technologies: A case study from Italy: a case study from Italy

Julia Blasch; Bianca van der Kroon; Pieter van Beukering; Renée Munster; Stefano Fabiani; Pasquale Nino; Silvia Vanino

doi:10.1093/erae/jbaa031

Farmer preferences for adopting precision farming technologies: A case study from Italy: a case study from Italy

Julia Blasch^*, Bianca van der Kroon, Pieter van Beukering, Renée Munster, Stefano Fabiani, Pasquale Nino, Silvia Vanino

^*Corresponding author for this work

Environmental Economics

Research output: Contribution to Journal › Article › Academic › peer-review

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	https://doi.org/10.1093/erae/jbaa031
Publication status	Published - 1 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.

Keywords

choice experiment
choice modelling
social networks
sustainable agriculture
technology adoption

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title = "Farmer preferences for adopting precision farming technologies: A case study from Italy: a case study from Italy",

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. ",

keywords = "choice experiment, choice modelling, social networks, sustainable agriculture, technology adoption",

author = "Julia Blasch and {van der Kroon}, Bianca and {van Beukering}, Pieter and Ren{\'e}e Munster and Stefano Fabiani and Pasquale Nino and Silvia Vanino",

note = "Publisher Copyright: {\textcopyright} 2020 The Author(s) 2020. Published by Oxford University Press on behalf of the Foundation for the European Review of Agricultural Economics.",

year = "2022",

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doi = "10.1093/erae/jbaa031",

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T1 - Farmer preferences for adopting precision farming technologies: A case study from Italy

T2 - a case study from Italy

AU - Blasch, Julia

AU - van der Kroon, Bianca

AU - van Beukering, Pieter

AU - Munster, Renée

AU - Fabiani, Stefano

AU - Nino, Pasquale

AU - Vanino, Silvia

PY - 2022/1/1

Y1 - 2022/1/1

N2 - 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.

AB - 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.

KW - choice experiment

KW - choice modelling

KW - social networks

KW - sustainable agriculture

KW - technology adoption

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Farmer preferences for adopting precision farming technologies: A case study from Italy: a case study from Italy

Abstract

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