To meet multiple environmental objectives, integrated programming is becoming increasingly important for the Global Environmental Facility (GEF). Integration of multiple environmental, social and economic objectives also contributes to the achievement of the Sustainable Development Goals (SDGs) in a timely and cost-effective way. However, integration is often not well defined. This report therefore focuses on identifying key aspects of integration and assessing their implementation in natural resources management projects.
Le rapport est construit en trois parties : • la première partie traite de l’adaptation des agricultures familiales aux changements climatiques et des conditions de l’adaptation ; • la seconde partie aborde la place de l’adaptation des agricultures familiales dans les politiques publiques ; • la troisième partie propose un certain nombre de recommandations en vue d’une meilleure intégration de cette question dans les politiques publiques. Une présentation des trois études de cas-pays est par ailleurs proposée en annexe.
El informe está estructurado en tres partes:
• la primera parte trata de la adaptación de la agricultura familiar a los cambios climáticos y de las condiciones de la adaptación; • la segunda parte aborda el lugar que ocupa la adaptación de la agricultura familiar en las políticas públicas;
• la tercera parte propone algunas recomendaciones para una mejor integración de este tema en las políticas públicas.
Una presentación de los tres estudios de caso-países figura también en anexo.
The document summarizes the GEF Council's decision to approve the Strategic Approach to Enhancing Capacity Building in November 2003. In approving the strategy, the Council requested the GEF Secretariat, in collaboration with the Implementing Agencies and the monitoring and evaluation unit, to undertake further work to operationalize it.
This publication presents the GEF-6 biodiversity strategy for 2014-2018. As the financial mechanism of the Convention on Biological Diversity (CBD) the GEF provides funding to help countries implement the Strategic Plan for Biodiversity, 2011-2020, and achieve the Aichi Targets. I am pleased that donors during the recently completed replenishment pledged $1.296 billion towards the biodiversity focal area for GEF-6, making it the largest individual focal area within the GEF.
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.
This report provides a synthesis of all findings and information generated through a “stocktaking” process that involved a desk study of Prolinnova documents and evaluation reports, a questionnaire to 40 staff members of international organizations in agricultural research and development (ARD), self-assessment by the Country Platforms (CPs) and backstopping visits to five CPs. In 2014, the Prolinnova network saw a need to re-strategise in a changing context, and started this process by reviewing the activities it had undertaken and assessing its own functioning.
This presentation for the Third Global Conference on Agricultural Research for Development (GCARD3,Johannesburg, South Africa, 5-8 April 2016) illustrates the main goals and activities of the Tropical Agriculture Platform, the multilateral facilitation mechanism established by the G20 to promote greater coherence and impact of capacity development (CD) for agricultural innovation systems (AIS).
The paper specifically proposes a framework to detect and quantify non-linear consequences in response to progressively deteriorating chain fragility factors. The paper’s approach is a novel alternative to the traditional value chain ‘risk assessment’.
This paper examines the determinants of participation in an outsourced extension programs and its impact of smallholder farmers' net farm income in Msinga, KwaZulu-Natal, South Africa. A multi-stage sampling technique was used to obtain cross-sectional farm-level data from a sample of 300 farm households, using a structured questionnaire for the interview. The determinants and impacts of participation were estimated using the propensity score matching (PSM) to account for sample selection bias.