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Odendo, Martins; Obare, Gideon A.; Salasya, Beatrice. |
Most adoption studies have employed cross-sectional data in a static discrete choice modelling framework to analyze why some farmers adopt at a certain point in time. The static approach does not consider the dynamic environment in which the adoption decision is made and thus does not incorporate the speed of adoption and the effect of time-dependent elements in explaining adoption. The adoption speed of an innovation is important in various aspects. Based on data from a survey of a random sample of 331 smallholder households in western Kenya, this study investigated determinants of time to adoption of mineral fertilizer, animal manure and compost using Duration analysis. Results revealed that factors that influenced timing of the adoption varied by the... |
Tipo: Journal Article |
Palavras-chave: Adoption; Duration analysis; Soil nutrients; Crop Production/Industries; Land Economics/Use. |
Ano: 2010 |
URL: http://purl.umn.edu/96192 |
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Lapple, Doris; Donnellan, Trevor. |
The adoption and possible abandonment of organic farming has yet received little attention in the literature. As time plays an important role in explaining farming decisions, a dynamic econometric framework, namely duration analysis, is used. The probability of entry to and exit of the organic drystock sector is modeled considering a wide range of economic and non‐economic factors. Organic support payments emerge as important driving factor of adoption over time. The empirical results also highlight the importance of environmental and risk attitudes, farming experience as well as influence of other organic farmers on the probability to adopt organic farming; whereas decisions to abandon organic farming appear to be mainly driven by economic and structural... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Adoption; Abandonment; Organic farming; Duration analysis; Economic and non‐economic factors.; Farm Management. |
Ano: 2009 |
URL: http://purl.umn.edu/51062 |
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