These proceedings relate to a regional workshop which was held in Muscat, Oman, in January 2008.

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.

AARINENA was established to strengthen cooperation among national, regional and international agricultural research institutions and centers to ultimately support the agricultural sector in its member countries. Women farmers significantly contribute to the agricultural development in the WANA region, but often remain invisible in agricultural research and knowledge transfer.

Disasters are increasing worldwide, with more devastating effects than ever before. While the absolute number of disasters around the world has almost doubled since the 1980s, the average number of natural disasters in Middle East and North Africa (MNA) has almost tripled over the same period of time. In the MNA, the interplay of natural disasters, rapid urbanization, water scarcity, and climate change has emerged as a serious challenge for policy and planning.

This Country Partnership Framework (CPF) for Tunisia, prepared jointly by International Bank for Reconstruction and Development (IBRD), International Finance Corporation (IFC) and Multilateral Investment Guarantee Agency (MIGA) covers the period Fiscal Year (FY) 2016 through FY 2020. The CPF is anchored in the Government of Tunisia’s September 2015 Note d’Orientation Stratégique and the WBG’s October 2015 Strategy for the Middle East and North Africa Region.

The objective of the research is to put forth the main problems that need to be solved before Tunisian olive oil can effectively use designation of origin and geographical indication (GI) to go to international markets. These constraints will be established based on information gathered through a survey of olive oil exporters and producers. Policies that focus on quantity will need to be complemented by specific measures based on quality at all levels of the industry in order to lead exports of this key product to reach its full potential

The expected results of this report are the full understanding and identification of the frame that answers the following questions: To what level policymakers in Tunisia are committed? On what exact base the agricultural decisions, whether to support an innovation or not, are made? To answer these questions, interviews were made with key partners from public institutions on each success/failure case to identify the major strengths and weaknesses related to each agricultural innovation

The objectives of this study twofold (i) First to assess farmer's perceptions of IT and secondly (ii) to determine the major factors influencing farmer's adoption decisions. This study offers for policy makers important considerations that could stimulate and sustain adoption of these IT in Tunisian arid agricultural areas. The present study is based on the hypothesis that the farm adoption decision of farmers has no relationship with the type of technology

This presentation describes the process of the capacity needs assesment carried out by a consortium of organizations in Ethiopia, Nicaragua, Tanzania, Tunisia and Uganda. Starts describing the the methodology used for the assesment, then present the key finds and in the end gives some recommendations

This report brings the information about the capacity needs analysis carried out by CRP in five countries. Capacity development is a core enabling factor in the delivery of the 5 Livestock CRP flagships. One of the strategic capacity development actions for the Livestock CRP is to design evidence based capacity development interventions based on capacity needs analysis.