Sustainable agricultural intensification requires the use of multiple agricultural technologies in an integrated manner to enhance productivity while conserving the natural resource base. This study analyses the adoption and impacts of sustainable intensification practices (SIPs) using a dataset from Ghana. A multivariate probit (MVP) model was estimated to assess the adoption of multiple SIPs. Moreover, we used a multivalued semi-parametric treatment effect (MVTE) model to estimate the effects of adopting multiple SIPs on maize productivity.
This paper presents a case study of the work carried out by CIAT to facilitate the creation of a community of practice, using Dgroups and taking advantage of this virtual space to apply a qualitative monitoring technique called Most Significant Change. The experience reported here mixed key ingredients to create and facilitate a community of practice to facilitate knowledge sharing and communication flow among 14 learning and knowledge sharing centres in Latin America and the Caribbean.