The expected results of this report are the full understanding and identification of the frame that answers the following questions: To what level policymakers in Tunisia are committed? On what exact base the agricultural decisions, whether to support an innovation or not, are made? To answer these questions, interviews were made with key partners from public institutions on each success/failure case to identify the major strengths and weaknesses related to each agricultural innovation
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 study was set out to describe the operation of the agricultural multi-stakeholder platforms and assess the impact of their activities on the production and revenue of the different beneficiaries. The required data was collected from 285 stakeholders using structured questionnaires. The econometric approach based on the Local Average Treatment effect (LATE) was used to identify the impact of the participation in the MSP activities on the revenue and yield of the producers
This study aims at exploring scaling up factors that determine the successful up scaling or otherwise of agriculture innovations in Ghana. This is done through a case study approach by analysing selected agricultural innovations to determine the strategies used to scale up as well as factors that account for successes or failures of the scaling up.
This study will answer the following questions: (i) What is the socio-economic impact of the Banfora Milk Platform on actors in the milk value chain? (ii) What investments are needed to maximize the impact of the Banfora Milk Platform? The answers to these questions will help Innovation Platform actors to measure the socio-economic impact of their innovation and also to take steps to correct shortcomings in order to substantially improve the income of beneficiaries. This report is built around four main points.
The purpose of this study was to analyse the demand for mechanized agricultural services in the cotton-growing area of western Burkina Faso. This study seeks to: Identify the needs for mechanized agricultural services (type, significance); Determine the willingness of farmers to pay for the services; Propose a mechanism for developing local farm mechanization services.
The book contains seven chapters that exhaustively covers the Strategies For Scaling Agricultural Technologies in Africa and make a smart proposition on the plausible pathway to ensure that agricultural technologies delivers a vibrant and economically sustainable agrarian sector
This book is addressing this lack of adequate knowledge on the framework and strategies for scaling up and scaling out an agricultural research and development concept. The book contains a rich synthesis of available information on the scaling strategies in agriculture. It documents the lessons learnt from the different strategies used in the past and develops a workable framework for scaling up and scaling out an agricultural research and development concept such as IAR4D.
This study presents detailed examples of how repeat Sénékéla users have changed their farming and marketing practices, and the reasons underpinning these changes. Data was collected through a series of semi structured interviews with repeat Sénékéla users. The findings of the case study serve to complement quantitative data about customer behavior change that was collected through a structured survey with 50 customers from Mali
The study is an attempt to identify the type and channels of acquiring agricultural information by farmers; and whether this information helps them in their decisions to adopt new and improved technologies, which can then be translated into higher yield. A unique two-period panel data sets that come from surveys conducted in 2011 and 2013 by the Central Statistical Agency in collaboration with Ethiopian Strategic Support Program were used to evaluate Agricultural Growth Program (AGP)