This document examines the macroeconomic and sectoral context and the trends and outlook for crops, livestock, fisheries, forests and rural well-being, as well as the public policies and institutional framework for these sectors. Based on an analysis of the trends and prospects, each chapter offers a series of recommendations for the consideration of decision-makers, in an effort to help address the challenges posed by the global economic dynamics and to take advantage of opportunities.
This edition of “The Outlook for Agriculture and Rural Development in the Americas,” covering 2015-2016, is divided into the following four chapters:
Chapter I: Macroeconomic Context: The author analyzes the evolution and outlook for financial and macroeconomic markets, which determine the conditions in which agriculture in the Americas will have to operate.
Over the last 20 years, poor rural farmers in Nigeria have seen the benefits of community organization as a tool for local economic development under the National Fadama Development Project series. They have witnessed improvements in rural areas that have embraced a more inclusive and participatory model of local economic decision making. Many communities have come together under the umbrella of new institutional arrangements for addressing local issues. These arrangements have visibly improved economic conditions, boosted agricultural incomes, and helped reduce rural poverty.
African agriculture is currently at a crossroads, at which persistent food shortages are compounded by threats from climate change. But, as this book argues, Africa can feed itself in a generation and help contribute to global food security. To achieve this Africa has to define agriculture as a force in economic growth by: advancing scientific and technological research; investing in infrastructure; fostering higher technical training; and creating regional markets.
The innovation systems (IS) approach—developed by Richard Nelson, Christopher Freeman and Bengt-Ake Lundvall, amongst others—has become perhaps the dominant approach in the academic literature for the study of innovation. It has also exerted considerable influence on policy. This paper examines both the theory underpinning the IS approach, which bears considerable affinities with Austrian economics, and also its policy implications.
Social structure, especially in the form of social networks, affects the adoption of agricultural technologies. In light of an increasing focus on new demand-driven agricultural extension approaches that leverage social networks as an opportunity, too little is known about (a) which network characteristics matter? and (b) how do specific network characteristics matter? This paper investigates the impact of social networks in relation to smallholder dairy production technology adoption in Ethiopia.
This paper estimates the farm level impact of producer organizations’ (PO) membership in Slovakia and the effectiveness of support provided to POs under the EU Rural Development Programme (RDP). The study employ the Propensity Score Matching and Difference in Differences econometric approach on a database of large Slovak commercial farms for 2006 and 2015. First, our results show that belonging to a PO improves the economic performance of farms in Slovakia.
Innovation platforms are groups of individuals or stakeholder representatives with different backgrounds and interests. They come together to diagnose problems, identify opportunities, and find ways to achieve their goals. When innovation platforms are set up by development projects, their processes are usually facilitated by the support organization.
Food insecurity and the weak position of smallholders in food value chains are key challenges in many low- and middle-income countries in sub-Saharan Africa. In order to increase food security and make agricultural value chains more inclusive, donors, governments and researchers increasingly stimulate partnerships between multiple actors, in which knowledge exchange, joint learning and knowledge co-creation play a central role in reducing the time lag between research findings and their translation into practical outcomes.
The slow rate of agricultural development in Africa can largely be blamed on lack of functional relationships between technology/innovation generation centers, local farming communities, financial institutions and markets. The result has been low penetration of promising innovations/technologies thus, low adoption levels and/ or partial adoption; and limited or no access to markets and financial services by farmers. In general, most of the innovation/technologies developed have not been extensively out-scaled; some of which are not even packaged in user friendly formats.