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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

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    40101 - Agriculture

Result continuities

  • Project

  • 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