Planned resources

Introduction to Social Accounting Matrices: Concepts and examples
This paper, by means of a step-wise approach, illustrates how to work out accounting multipliers for policy analysis. Starting with the structure of a Social Accounting Matrix (SAM) the paper explains how to separate it in endogenous and exogenous components, how to invert the matrix and how to make use of the accounting multipliers for policy impact analysis. Examples are provided at different stages of the process.
VCA Burkina Faso (x 4)
Socio-economic impact analyses of selected policies for four value chains, namely, Firewood, Fisheries, Vegetables and Beef, were recently carried out in Burkina Faso by staff from various ministries, with the technical support of FAO. These papers summarize the findings of the value chain analyses and related policy simu lations. A fifth paper reports the findings of the policy impact analyses carried out with a Computable General Equilibrium model of the country. The results have been presented to relevant national decision makers as they povide guidance for policy formulation with a focus on the policy impact for poverty reduction.
Value Chain Analysis for Policy Making: Methodological Guidelines for a Quantitative Approach
This document is a practical guide for conducting policy impact analysis by means of a value chain approach. It provides key notions required to carry out a value chain analysis and show how to do it in a practical way by making use of relevant tools, including the FAO VCA software, specifically designed and developed by FAO to carry out value chain analysis for policy making. The reader will find this material useful to carry out the different steps of a value chain analysis, such as: 1) Identify the basic units operating in a given value chain (=agents) and the activities they undertake; 2) Quantify the gross revenues, value added creation and profits of every agent; 3) Build different scenarios and measure changes in revenues, value added creation and profits for the different scenarios; 4) Build a Policy Analysis Matrix (PAM) and compute protection and competitiveness indicators (such as: the Nominal Protection Coefficient (NPC), the Effective Protection Coefficient (EPC), the Domestic Resource Cost (DRC) for the various segments and for a whole value chain.