This case study presents an analysis undertaken for the IFAD-funded Agropastoral Value Chains Project in the Governorate of Médenine, Tunisia. High-resolution imagery makes it possible to track the development of roads, buildings, irrigation schemes, and other types of investments. Over 140 km of road constructed or rehabilitated by the project are easily detectable on satellite imagery.
This publication aims to inform the debate on the status of food security in Arab countries, and provide policy options for enhancing food security in the future, in line with the overarching directions of the 2030 Agenda for Sustainable Development. Given the heterogeneity of the Arab region, both in terms of natural endowment, particularly in water resources, and economic capabilities, the report’s analysis divides the region into four subregions, each consisting of a more homogeneous group of countries.
This regional workshop was designed to strengthen the capabilities of representatives of NIFUs for analyzing the situations of their NAIS, and to use their national experiences to identify strengths, weaknesses, and threats/challenges affecting seven key areas influencing development of NAIS, namely: (i) strategy/policy, (ii) institutional aspects, (iii) stakeholders, (iv) content, (v) people, (vi) infrastructure, and (vii) financial aspects. Possible solutions for the key weaknesses and threats /challenges were defined by participants.
Le principal défi des systèmes alimentaires africains à l’avenir sera de fournir de la nourriture à une population en croissance rapide dont les régimes alimentaires et les préférences alimentaires évoluent. Alors que la population européenne diminue, les consommateurs exigeant des aliments produits de manière écologiquement et socialement responsable, la population africaine va plus que doubler entre 2020 et 2050, la demande alimentaire augmentant encore plus en raison des changements alimentaires.
The main challenge for African food systems in the future will be to provide food for a rapidly growing population with changing diets and food preferences. Whilst the population of Europe is decreasing, with consumers demanding food that is produced in an environmentally and socially responsible way, Africa’s population will more than double between 2020 and 2050, with food demand increasing even more as a result of dietary changes.
This paper explores the use of complex adaptive systems theory in development policy analysis using a case study drawn from recent events in Uganda. It documents the changes that took place in the farming system in Soroti district during an outbreak of African cassava mosaic virus disease (ACMVD) and the subsequent decline in cassava production — the main staple food in the area. Resultant adaptation impacts are analysed across cropping, biological, economic and social systems each of which operate as an interlinked sub-system.
Small-scale farmers' experimental innovations have not generally been considered for on-farm research trials as those in the traditional sector have been perceived as recipients, rather than originators, of technical knowledge and sustainable and viable practices. Yet there is abundant evidence throughout the tropics that small-scale farmers are adaptive and experimental problem solvers, and experts at devising innovative survival strategies. While literature on the topic is rich with accounts from Africa, Asia and Latin America, there is a general dearth of examples from the Caribbean.
This study examines the role of public–private partnerships in international agricultural research. It is intended to provide policymakers, researchers, and business decisionmakers with an understanding of how such partnerships operate, how they promote the exchange of knowledge and technology, and how they contribute to poverty reduction.
The article examines the effect of membership in farmer groups (MFG) on adoption lag of agricultural technologies and farm performance in Burundi, the Democratic Republic of Congo and Rwanda. We use duration and stochastic production frontier models on farm household data. We find that the longer the duration of MFG, the shorter the adoption lag and much more so if combined with extension service delivery. Farmer groups function as an important mechanism for improving farm productivity through reduced technical inefficiency in input use.
Encouraging the adoption and diffusion of low-carbon agricultural technology innovation is an important measure to cope with climate change, reduce environmental pollution, and achieve sustainable agricultural development. Based on evolutionary game theory, this paper establishes a game model among agricultural enterprises, government, and farmers and analyzes the dynamic evolutionary process and evolutionary stable strategies of the major stakeholders.