The main objective of the Guidelines is to provide a non-binding complement to other guidelines and offer advice to RDP evaluation stakeholders on how to carry out the evaluation activities for answering the common evaluation questions related to innovation. Since the RDP’s effects on innovation in rural areas can be expected to take place, most likely, in the long-term, the guidelines focus in particular on those evaluation related activities, which will be reported in the AIR in 2019 and in the ex post evaluation. The Guidelines are structured in three parts:
This note offers a conceptual framework for dealing with 1) institutional and capacity assessment; and 2) capacity development issues, mainly in the public sector areas. This framework will be particularly useful in the in the preparation of support to sector programmes and budget support exercises.
The purpose of this paper is to map some elements that can contribute to an IFAD strategy to stimulate and support pro-poor innovations. It is an initial or exploratory document that hopefully will add to an ongoing and necessary debate, and is not intended as a final position paper. The document is organized as follows.
In an effort to raise incomes and increase resilience of smallholder farmers and their families in Feed the Future1 (FTF) countries, the United States Agency for International Development (USAID) funded the Developing Local Extension Capacity (DLEC) project. This project is led by Digital Green in partnership with the International Food Policy Research Institute (IFPRI), CARE International (CARE) and multiple resource partners.
This document on Good Practices in Extension Research and Evaluation is developed as a hands on reference manual to help young researchers, research students, and field extension functionaries in choosing the right research methods for conducting quality research and evaluation in extension. This manual has been compiled by the resource persons who participated in the Workshop on ‘Good
With the rapid pace of climate change and its impact on food security and livelihoods, climate-smart agriculture is one strategy aiming to help farmers adopt more sustainable farming practices. This study looked at farmers’ adoption of agricultural innovations and the role of social networks in the process.
The ‘ICT based Customer Care Solution for Poor Farmers’ is a case study that highlights Katalyst project’s work in developing low cost ICT solutions for farmers by collaborating with various public and private sector partners. The case study specifically focuses on a missed call based agriculture helpline service that was developed in collaboration with leading agriculture input companies. The service provides agriculture information solutions to smallholder farmers for free. Till date, the service has benefitted approximately 160,000 farmers.
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.
In developing regions with high levels of poverty and a dependence on climate sensitive agriculture, studies focusing on climate change adaptation, planning, and policy processes, have gained relative importance over the years. This study assesses the impact of farmer perceptions regarding climate change on the use of sustainable agricultural practices as an adaptation strategy in the Chinyanja Triangle, Southern Africa.
This study assessed intermediate results of an investment intended to support climate change adaptation and resilience-building among farmers’ cooperatives in Rwanda. The assessment was based on a purposive sampling survey of farmers’ perspectives conducted in sites in 10 programme intervention districts of the country’s 30 districts.