<?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>
  <doc>
    <id>2110</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>14</pageNumber>
    <edition/>
    <issue>10</issue>
    <volume>11</volume>
    <articleNumber>1965</articleNumber>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace>Basel</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2022-03-23</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Drivers and Barriers Influencing the Willingness to Adopt Technologies for Variable Rate Application of Fertiliser in Lower Austria</title>
    <abstract language="eng">Even though a broad range of technologies for variable rate application of nitrogen fertiliser is available, there are hardly any documented cases of their use in Austria. In this study, the drivers and barriers of adoption have been investigated. A survey of 242 farmers in Lower Austria was conducted. The survey covered the farmers’ economic situation, concerns, and expectations regarding the future of their farms and their interest in precision farming technologies. A choice experiment was included in the survey to elicit farmers’ preferences for different features of variable rate application technologies. A series of multinomial logit, mixed logit and latent class logit models were run to analyze the choice experiment. Most farmers were interested in variable rate application, whereas technology costs, yield and environmental improvements were found to be important drivers of adoption. Also, farm size, farming system, technological level and network activities seem to play an important role in the uptake of variable rate application technologies.</abstract>
    <parentTitle language="eng">Agronomy</parentTitle>
    <identifier type="issn">2073-4395</identifier>
    <identifier type="urn">urn:nbn:de:bvb:573-21105</identifier>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.3390/agronomy11101965</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>Francesco</first_name>
      <last_name>Vuolo</last_name>
    </author>
    <author>
      <first_name>Laura</first_name>
      <last_name>Essl</last_name>
    </author>
    <author>
      <first_name>Bianca</first_name>
      <last_name>van der Kroon</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>variable rate fertilisation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>nitrogen</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>satellite data</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>choice experiment</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>precision agriculture</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>adoption</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/2110/agronomy-11-01965-v2.pdf</file>
  </doc>
</export-example>
