Abstract
Conservation agriculture (CA) has been widely promoted in Zimbabwe as an antidote to non-viable agricultural production and continual land degradation. However, the adoption process had been quite slow and has not yet entered into the exponential uptake phase. This study aimed at identifying factors that influence the level of adoption of CA components. A cluster analysis from results of a household survey administered to 146 households in Muzvezve II, Kadoma District, Zimbabwe identified five dominant CA strategies (clusters) practiced by cotton growing farmers. A multinomial logit model revealed that the choice of CA components adopted is positively influenced by farmer’s age, formal education, access to extension services, labour, animal draught power availability and land size. The empirical results suggests that, to promote adoption of a complete package of CA policies that increase access to formal education and extension of CA should make strategic intervention through innovative methods of farmer to farmer extension services. Promotion of longer-term and effective CA can only be accomplished through targeting young educated farmers. It is of paramount importance as well to address the main factors leading to non-adoption and slow adoption such as labour and animal draught power availability. Key words: Cluster analysis, household survey, non adoption, strategic intervention, multinomial logit.
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Topics from this Paper
Conservation Agriculture
Slow Adoption
Cluster Analysis
Multinomial Logit
Strategic Intervention
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