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Conclusion
International audienceHow can societies and governments of Southern and Eastern Mediterranean countries (SEMCs) face the challenges they are confronted with in their fight against rural poverty, the promotion of rural development and the management of natural resources? How can outside actors, notably the European Union, help them in doing so? These are the two questions we want to come back to in the conclusion of this book. First, we will essentially confirm, sometimes further specify, the worrisome diagnosis presented in the introduction. We will then assess the lessons learnt regarding how public policies can respond to the challenges. And finally, we will draw implications for the neighbourhood policy of the European Union
Feeding Expo Milano 2015 with Mediterranean perspectives
International audienceThe Document compiles a series of 18 articles dealing with innovative indicators and initiatives for Food Security in the Mediterranean countries. Particular attention has been paid to good practices, adaptation to climate change, sustainable food consumption models and agro-food chains
The dairy products market: documentary study
Publication du projet européen LACTIMED (ANIMA / CIHEAM-IAMM)LACTIMED project conducted a report on dairy products market and international opportunities. This report aims at shedding light on production, international market, consumption trends and evolution, distribution channels, attitudes and behaviors of consumers
DAHBSIM, a dynamic agricultural household bio-economic model
T4. What’s new with bioeconomic models for the analysis and design of agricultural systems?International audienceThe development of bio-economic models responds to the need of tools able to represent in a consistent way different dimensions of Agricultural Systems, integrating different scale levels as well as impacts concerning agro-ecologic issues, socio-economic ones and indirect effects of other nature, such as global environmental impacts. Most bio-economic models use outputs of bio-physical models (Flichman, 2011) to generate part of the parameters of the model. A small number of models including the bio-physical processes in the same code, usually apply empirical bio-physical relations, adapted only to the specific case that is studied. When biophysical models are used to generate data to be introduced in the bio-economic model, it is not possible to fully simulate the dynamic interactions between the economic and the bio-physical dimensions of the whole model. In the majority of cases, the bio-economic models of this type are static, creating to some extent a lack of consistency. On the other side, when only a simplified empirical approach is representing the bio-physical issues, the model cannot be easily adapted to a different context (Holden et al. 2004). The development of DAHBSIM uses an accumulated experience in this type of models, and intends to introduce some specific improvements in relation with previous work in this field, essentially through its dynamic character and the possibility of application in different contexts, as it is developed in a generic way using a modular structure. DAHBSIM is designed to capture some key features of developing countries rural areas. Some aspects of this work present a particular interest from a methodological perspective: The fact that DAHBSIM is built in a modular and generic manner allows applying it in different contexts. The potential user will be able to use all or part of the modules. The architecture of the model may include new modules if it appears necessary to do so. The development of this model is done in the context of collaboration between IFPRI and CIHEAM-IAMM
Sustainable food production for farming households in arid zones: the case of Sidi-Bouzid in Tunisia
Background Paper: Sustainable Food Consumption in Arab CountriesInternational audienc
Algérie/Céréales : l’objectif d’autosuffisance en blé dur tributaire de la superficie irriguée / Egypt could import less wheat, to start new local wheat buying system
International audienc
Is « bio-economic » farm modelling of any help for farming system design?
T4. What’s new with bioeconomic models for the analysis and design of agricultural systems?International audienceMany innovations at cropping system level impact the whole farm system by changing the flow of farm resources across farm activities. Using farm models has increasingly been proposed for assessing the feasibility of prototypes of cropping systems at farm level, and evaluating their impacts on household food production, farm income, and the environment. Such models are often called bio-economic model as a way to stress the mixing of knowledge about the biophysical and economic aspects of farming (Janssen & van Ittersum, 2007; Thornton & Herrero, 2001). A priori, one should not expect accurate predictions from these coupled bio-economic models, because of their complexity and the difficulty of measuring certain key input variables, such as labour availability for the different farm and off-farm activities, family income, and intra-farm consumption of agricultural products. This type of models can rather be used to explore ‘what if’ scenarios and to understand their outcomes including their inevitable uncertainty. In this paper, we review our experience with bio-economic farm models as virtual test benches for evaluating “cropping systems ideotypes” (CSI), i.e. idealized cropping systems proposed as alternatives to existing cropping systems, for increasing farm income and production or for reducing negative impacts of farming on the environment. Six published case studies are used. The objective is to examine to what extent the models developed fulfilled their purpose of evaluating prototypes of cropping systems for farming systems design
Comment mesurer la performance agroécologique d’une exploitation agricole pour l’accompagner dans son processus de transition
Communication orale : résumé et diaporama. Session 2 «Déterminants agronomiques et conception de systèmes de culture visant à réduire les impacts liés aux pesticides»International audienc