2010
DOI: 10.1111/j.1574-0862.2010.00445.x
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Conservation agriculture, organic marketing, and collective action in the Honduran hillsides

Abstract: Conservation agriculture (CA) is often perceived to provide "win-win" outcomes for farmers leading to reduced erosion and off-site sedimentation, as well as improved soil fertility and productivity. However, adoption rates for CA in many regions of the world remain below expected levels. This article looks at the effects of participation in organic markets and farmers' organizations on the adoption of soil conservation practices. Based on original survey data from 241 small-scale farm households in Honduras, w… Show more

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Cited by 152 publications
(148 citation statements)
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“…The independent variables selected for the first probit model are similar to those commonly used in literature for similar models (Bolwig et al, 2009;Miyata et al, 2009;Wollni et al, 2010;Wollni and Zeller, 2007) namely (a) household characteristics (household size, age and gender of the head); (b) assets endowments (land area, size of the cattle herd) and (c) share of off-farm income in total income. The model for household i then becomes: …”
Section: Quantitative Analysismentioning
confidence: 99%
“…The independent variables selected for the first probit model are similar to those commonly used in literature for similar models (Bolwig et al, 2009;Miyata et al, 2009;Wollni et al, 2010;Wollni and Zeller, 2007) namely (a) household characteristics (household size, age and gender of the head); (b) assets endowments (land area, size of the cattle herd) and (c) share of off-farm income in total income. The model for household i then becomes: …”
Section: Quantitative Analysismentioning
confidence: 99%
“…The underlying assumption of count regression analysis is that all events have the same probability of occurrence (Wollni et al, 2010). Using such analysis to measure adoption intensity requires several assumptions:…”
Section: Literature Reviewmentioning
confidence: 99%
“…With limited information and imperfect markets, social networks can facilitate the exchange of information, enabling farmers to access inputs and overcome credit constraints. Social networks also reduce transaction costs and increase farmers' bargaining power, helping them to earn higher returns when marketing their products, which in turn can affect technology adoption (Lee 2005;Pender and Gebremedhin 2007;Wollni et al 2010). Moreover, farmers who have limited contacts with extension agents can be informed about the methods and benefits of new technologies from their networks, as they share information and learn from each other.…”
Section: Independent Variables and Hypothesesmentioning
confidence: 99%