Research for development (R4D) projects increasingly engage in multi-stakeholder innovation platforms (IPs) asan innovation methodology, but there is limited knowledge of how the IP methodology spreads from one contextto another. That is, how experimentation with an IP approach in one context leads to it being succesfully re-plicated in other contexts.
The mobile phone technology is an important tool to enhance farmers’ to access better marketing services, agricultural extension services, health extension services and other mobile services. This study also tried to assess rural households’ mobile phone usage status for different rural innovation services in Gomma Woreda, Southwest Ethiopia. Structured interview schedule, focus group discussion, key informant interview and personal observations were used as a method of data collection tools for this study.
mNutrition was a five-year global initiative supported by the Department for International Development (DFID) between 2013 and 2018, organised by GSMA and implemented by in-country mobile network operators (MNOs) and other providers. The evaluation was carried out by a consortium of researchers from Gamos, the Institute of Development Studies, and the International Food Policy Research Institute. This briefing summarises key evaluation findings and presents lessons learned on three key topics: 1.
Governments in sub-Saharan Africa and their donors have made business investment a major policy goal, supported by a variety of incentives designed to support business investment in agriculture. However, little is known about the factors which influence agribusiness investment in Africa, and how effective these incentives have been. This paper examines the motivations of agribusiness investment, the effectiveness of government and donor policy incentives, and the relevance of these incentives for four different commercialisation pathways.
The quest for innovation lies at the heart of European rural development policy and is integral to the Europe 2020 strategy. While social innovation has become a cornerstone of increased competitiveness and the rural situation legitimizes public intervention to encourage innovation, the challenges of its effective evaluation are compounded by the higher ‘failure’ rate implied by many traditional performance measures.
The goal of this paper is to access the state, specify trends, compare with other EU states, and identify intervention needs of Agricultural Knowledge and Innovation System (AKIS) in Bulgaria, and assist policy formation for the next programing period. Modern scientific approaches of SWOT, Strategic Orientation, Gap Analysis, Comparative Institutional Analysis, etc. are used to identify actors and relations, trends in development, assess strengths, weaknesses, opportunities and threats, formulate adequate strategy, and specify overall and public intervention needs of AKIS in the country.
This document intends to provide an analysis of the outcomes of the application of the TAP Common Framework in the eight countries of the Capacity Development for Agricultural Innovation Systems (CDAIS) project. The TAP Common Framework (TAP CF) was developed at the global level as an initial activity of the CDAIS project in order to guide capacity development (CD) and strengthening of Agricultural Innovation Systems (AIS). The project then tested this framework in eight pilot countries (Guatemala, Honduras, Burkina Faso, Angola, Rwanda, Ethiopia, Lao PDR, Bangladesh).
This flyer described the collaboration between FAO and Agrinatura and in particular two main areas of activities:
1) Joint implementation of the EU-funded Capacity Development for Agricultural Innovation Systems (CDAIS) project from 2015 to 2019, in eight countries: Angola, Bangladesh, Burkina Faso, Ethiopia, Guatemala, Honduras, Lao People’s Democratic Republic, Rwanda;
The primary aim of this research was to examine the factors influencing behavioral intention of farmers to use ICTs for agricultural risk management. The past research reveals that many researchers had tried to determine factors affecting behavioural intentions of the respondents and TPB has been applied as technology acceptance model in various contexts. However, predicting behavioral intentions to use ICTs for agricultural risk management has not been evaluated from the actual field. Therefore, the data were collected from 360 farmers through multistage cluster sampling technique.
Agricultural transformation and development are critical to the livelihoods of more than a billion small-scale farmers and other rural people in developing countries. Extension and advisory services play an important role in such transformation and can assist farmers with advice and information, brokering and facilitating innovations and relationships, and dealing with risks and disasters.