Unraveling Innovation Networks in Conservation Agriculture Using Social Network Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41340%2F19%3A81248" target="_blank" >RIV/60460709:41340/19:81248 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-31463-7_9" target="_blank" >http://dx.doi.org/10.1007/978-3-030-31463-7_9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-31463-7_9" target="_blank" >10.1007/978-3-030-31463-7_9</a>
Alternative languages
Result language
angličtina
Original language name
Unraveling Innovation Networks in Conservation Agriculture Using Social Network Analysis
Original language description
During the last decades, agriculture has focused on developing more sustainable forms of land use while promoting food productivity. To face these challenges, conservation agriculture (CA), which is based on minimal soil disturbance, mulching of crop residues, and crop rotation, has been promoted as an ecosystem approach to sustainable agriculture. Using social network analysis (SNA) methods, we analyzed the adoption patterns of CA practices among 222 maize smallholder farmers in the Mexican state of Chiapas. Our findings suggest that, in the process of adopting CA practices, farmers make interrelated decisions based on network and individual attributes, rather than accepting top-down transfers, as usually promoted by institutions. The role of extension agents and other farmers is crucial for innovation dissemination, given that farmers learn different practices from different sources. This points to the need to strengthen participatory methods and promote sustainability in agriculture, rather than a
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
40101 - Agriculture
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Challenges in Social Network Research
ISBN
978-3-030-31462-0
Number of pages of the result
16
Pages from-to
133-148
Number of pages of the book
239
Publisher name
Springer, Cham
Place of publication
Springer Nature Switzerland AG 2020
UT code for WoS chapter
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