<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>2117</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>33</pageFirst>
    <pageLast>81</pageLast>
    <pageNumber/>
    <edition/>
    <issue>1</issue>
    <volume>49</volume>
    <articleNumber/>
    <type>article</type>
    <publisherName>Oxford University Press</publisherName>
    <publisherPlace>Oxford</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2022-03-23</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Farmer preferences for adopting precision farming technologies: a case study from Italy</title>
    <abstract language="eng">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.</abstract>
    <parentTitle language="eng">European Review of Agricultural Economics</parentTitle>
    <identifier type="issn">1464-3618</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-21179</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1093/erae/jbaa031</enrichment>
    <enrichment key="THI_articleversion">published</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">ja</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons BY 4.0</licence>
    <author>
      <first_name>Julia</first_name>
      <last_name>Blasch</last_name>
    </author>
    <author>
      <first_name>Bianca</first_name>
      <last_name>van der Kroon</last_name>
    </author>
    <author>
      <first_name>Pieter</first_name>
      <last_name>van Beukering</last_name>
    </author>
    <author>
      <first_name>R</first_name>
      <last_name>Munster</last_name>
    </author>
    <author>
      <first_name>S</first_name>
      <last_name>Fabiani</last_name>
    </author>
    <author>
      <first_name>P</first_name>
      <last_name>Nino</last_name>
    </author>
    <author>
      <first_name>S</first_name>
      <last_name>Vanino</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>sustainable agriculture</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>technology adoption</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>social networks</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>choice experiment</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>choice modelling</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="persons" number="44960">Blasch, Julia</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-haw/files/2117/jbaa031.pdf</file>
  </doc>
</export-example>
