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Climate change and global market integration: Implications for global economic activities, agricultural commodities and food security

The State of Agricultural Commodity Markets (SOCO) 2018: Background paper











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    Case Study on Commodity Chain Analysis: Irrigated Rice Chain of the Niger’s Office (Mali): Financial and Economic Account   2005
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    This module illustrates a case study regarding the Commodity Chain Analysis (CCA). It belongs to a set of modules which discuss how to carry out CCA through a step–by-step procedure. The user is introduced to a real situation where he has to build and analyze a commodity chain. The case study contains five exercises based on a database provided in a spreadsheet, containing all relevant information (e.g, yields, hectares per agent etc). The first exercise allows the user to familiarize with the f unctional analysis of a commodity chain. The second exercise aims to practise the flows analysis. The third one helps experts to use the production-trading accounts which are the real foundations of the CCA. The fourth one allows us to build the analysis model based on the accounts of individual agents. Finally, the fifth one illustrates how to use this model to simulate scenarios.
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    Considerations and challenges when choosing a Partial Equilibrium modelling (PE) and Computal General equilibrium modelling (CGE) for global long-term analysis of food and agriculture 2017
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    XV European Association of Agricultural Economists (EAAE) Congress [29 August–1 September 2017, Parma, Italy] Presentation explains considerations and challenges when FAO-GPS team chooses a Partial Equilibrium modelling (PE) and Computal General equilibrium modelling (CGE) for simulating baselines for the FOFA 2050 scenarios.
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    FAO-MOSAICC: The FAO modelling system for agricultural impacts of climate change to support decision-making in adaptation 2011
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    The Food and Agriculture Organization of the United Nations (FAO) has developed in partnership with European research institutes an integrated package of models to carry out climate change impact assessment studies at the national level. This package, called FAOMOSAICC (for Modelling System for Agricultural Impacts of Climate Change), allows for climate data downscaling, spatial interpolation, hydrological modelling, and crop and economic simulations, to be carried out sequentially. FAO-MOSAICC is designed to be distributed to national institutions in developing countries. While FAO-MOSAICC can be used for a wide range of analyses (climate change impacts on water resources, crop yields etc.), its ultimate 2 objective is to identify the most robust adaptation strategies to mitigate the potentially adverse effects of climate change on national food security. This paper describes the modelling system with a focus on the Dynamic Computable General Equilibrium (DCGE) model that simulates th e effects of climate-change-induced changes in crop yields on national economies over time. To make the use of the model as cheap as possible for use by national institutions, it uses an open source programming language and free software to solve the model. The model can be implemented and solved on Windows and Linux platforms. Some features of the model will be illustrated by a test of the model on Moroccan data with projections over the period 2001-2030.

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