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Commodity Chain Case Study: Analysis of the Suburban Horticulture Sub-Chain of Bamako (Mali) 









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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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    Guideline
    Value Chain Analysis for Policy Making: Methodological Guidelines and country cases for a Quantitative Approach 2013
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    These guidelines provide users with the key notions required to carry out analyses of policy impacts by means of a value chain approach and show how to do it by making use of relevant approaches and tools. In particular, users will find this material useful to identify the main features of a given value chain, build consistent value chain accounting frameworks, building alternative scenarios reflecting changes that given policy measures are likely to introduce in value chains, measure in monetar y terms shifts in physical production, value added, and income accruing to the various agent involved and provide relevant information to decision makers and other stakeholders involved in policy making processes. For instance, the user will be driven to identify the basic units operating in a given value chain and the activities they undertake, quantify revenue, value added and profits of every agent, build different scenarios for selected policy options, calculate value added and other margins , compute protection and competitiveness indicators.

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    The FAOSTAT emissions database is composed of several data domains covering the categories of the IPCC Agriculture, Forestry and Other Land Use (AFOLU) sector of the national GHG inventory. Energy use in agriculture is additionally included as relevant to emissions from agriculture as an economic production sector under the ISIC A statistical classification, though recognizing that, in terms of IPCC, they are instead part of the Energy sector of the national GHG inventory. FAO emissions estimates are available over the period 1961–2018 for agriculture production processes from crop and livestock activities. Land use emissions and removals are generally available only for the period 1990–2019. This analytical brief focuses on overall trends over the period 2000–2018.