This presentation was realized for the GFAR workshop on "Adoption of ICT Enabled Information Systems for Agricultural Development and Rural Viability" (at IAALD-AFITA-WCCA World Congress, 2008). It presents lessons learned through linking research to extension, including examples from projects in Nigeria, Colombia, Uganda ,Costa Rica, Egypt and Bhutan.
This report summarizes the findings of the Nigeria Agriculture Public Expenditure Review (NAGPER). The NAGPER was undertaken to achieve four main objectives: (i) establish a robust data base on public expenditure in the agricultural sector; (ii) diagnose the level and composition of agricultural spending in the recent past; (iii) understand the budget processes that determine resource allocation in the sector; and (iv) draw preliminary policy recommendations for agriculture. These objectives are admittedly modest.
This paper looks at brokerage functions in a project on building innovation capacity through improved networking. Innovation capacity influences how actors respond to changes in their environments. In such dynamic environments well connected sets of actors are at an advantage in that they can combine skills to address the emerging opportunities and challenges. However, policy and cultural barriers especially in African innovation systems raise the transaction costs of networking leading to weak connectivity among actors thus poor innovation capacity.
This report deals with innovation opportunities in the Rice Value Chain.
The following is a summary that introduces the report.
La conférence sur « Agriculture écologique : atténuer le changement climatique, assurer la sécurité alimentaire et l’autonomie pour les sources de revenus ruraux en Afrique » s’est tenue à Addis – Abéba (Ethiopie) du 26 au 28 novembre 2008.
This document ains to update the inventory of existing functional promising agricultural innovations in Nigeria. The salient results from this study are as follows: 116 technologies were identified nationally during the review period (2006-2014). The strongest or most frequent triggers of innovation include yield improvement, resistance to pests and diseases, wide ecological adaptation, high quality cassava flour, HQCF, shorter time to maturity, drought resistance, seed or grain colour, malting quality and grain weight or size.
This report make an study on the scaling up of agricultural innovations in Nigeria. The study has adopted different methods, concluding that the scaling up requires a multi-stakeholder approach among national governments, donor agencies, NGOs, the private sector, research institutions, and extension workers among others. In order to scaling the innovations to the end users, it is needed the combination of approaches outlined in this report
This report aims to amalyse the situational analysis of Agricultural Innovation in Nigeria. Specifically, the situation analysis entailed: (i) an inventory of existing functional and promising agricultural innovations;(ii) a scoping study of existing agricultural innovation platforms in the country;(iii) an assessment of the state of national investment in agricultural innovation system in the country
This study focused on analysing the determinants of farmer participation in direct marketing channels using the case of the cassava sector in the Oyo State of Nigeria. The Bivariate Tobit model was applied in the empirical analysis, based on a primary dataset generated from 400 rural cassava farmers from the Oyo State of Nigeria. The main objective of this study was to analyse the effects of the determinants of farmer decision to either participate in the processor or middlemen marketing channels in the Oyo State of Nigeria.
The aim of the paper is to evaluate the impact of value-webs as an innovation in agricultural production on welfare of cassava smallholders in Nigeria. The estimation procedure involved the alternative process of multivalued treatment models when treatment units have multiple values. The study thus extends previous impact studies which focused on estimating causal effects from binary treatment units. The treatment units were determined from the extent of utilization of cassava which informed the classification of households into value-web groups.