La complexité des facteurs de la migration rurale en ASS rend impossible la prévision du nombre de personnes qui migreront et pourquoi, ni qui elles seront, ni où elles iront. Pourtant, il est possible d’explorer comment ce système complexe de forces interdépendantes pourrait évoluer, de prendre des décisions proactives et d’agir pour construire le futur. Il est peu probable que les migrants ruraux d’ASS soient dans une position favorable pour émigrer hors d’Afrique, ce qui pose un grand défi pour la prospérité future du continent : migration par nécessité ou par choix ?
The aim of this report is to provide a detailed review of documented social learning processes for climate changeand natural resource managementas described in peer-reviewed literature. Particular focus is on identifying (1) lessons and principles, (2) tools and approaches, (3) evaluation of social learning, as well as (4) concrete examples of impacts that social learning has contributed to.
Les ruralités aux Suds sont marquées par une augmentation des flux de personnes et de biens et par des systèmes de mobilités diverses et complexes. Rappelant les raisons qui ont contribué à négliger les mobilités et la pluriactivité dans de nombreux travaux de recherche sur les ruralités aux Suds, l’article propose un modèle d’analyse original, sous le nom de Systèmes Familiaux Multilocalisés, qui permettrait de mieux articuler l’analyse des flux, des liens, et des temporalités mobilitaires, dans les recherches sur les systèmes de pluriactivités développés selon des logiques familiales.
This paper presents a case study of the Honey Bee Network’s decentralized model for collecting, verifying and disseminating grassroots innovations and provides a roadmap for its replication in Africa. The Honey Bee Network brings together governmental and non‐governmental institutions, members of academia, scholars and a large number of volunteers.
The paper discusses the work force development (Wfd) tool that places explicit focus on three functional dimensions of Wfd policies and institutions: (a) strategy; (b) system oversight; and (c) service delivery. Strategy refers to the alignment between workforce development and a country’s national goals for economic and social development. System oversight refers to the governance arrangements that shape the behaviors key stakeholders involved, including individuals, employers, and training providers.
This paper presents findings of an explorative case study that looked at 22 organisations identified as fulfilling an intermediary role in the Kenyan agricultural sector. The results show that these organisations fulfill functions that are not limited to distribution of knowledge and putting it into use. The functions also include fostering integration and interaction among the diverse actors engaged in innovation networks and working on technological, organisational and institutional innovation.
The Farmer Field School (FFS) approach has been very successful and witnessed a strong expansion in many areas beyond crop production. Notwithstanding this success, the adoption of FFS in national extension often remains problematic and FFS activities have often been implemented in the margin of national institutions with strong reliance on donor funding. The creation of an enabling environment for institutional support is essential for expanding the effort, improving quality, and strengthening impact and continuity of the FFSs.
This publication represents a synthesis of assessments of national agricultural innovation systems in countries of Central Asia, South Caucasus and Turkey. The first chapter gives an introduction of the project “Capacity Development for Analysis and Strengthening of Agricultural Innovation Systems in Central Asia and Turkey”, out of which the current publication reports about one of the project outputs achieved.
This book documents a unique series of 19 case studies where agricultural biotechnologies were used to serve the needs of smallholders in developing countries. They cover different regions, production systems, species and underlying socio-economic conditions in the crop (seven case studies), livestock (seven) and aquaculture/fisheries (five) sectors. Most of the case studies involve a single crop, livestock or fish species and a single biotechnology.
The paper uses a stochastic frontier analysis of production functions to estimate the level of technical efficiency in agriculture for a panel of 29 developing countries in Africa and Asia between 1994 and 2000. In addition, the paper examines how different components of an agricultural innovation system interact to determine the estimated technical inefficiencies.The paper has been presented at the Southern Agricultural Economics Association Annual Meeting, Birmingham, AL, February 4-7, 2012.