As part of a three-phase project, the Food Security Information Network (FSIN) sponsored a comparative study of the globally managed cross-country price and market information systems to assess complementarities and overlaps.
This report contains a review of these databases in terms of data collection, quality control mechanisms, management, use, analysis methods and tools. It includes recommendations to improve the integration and harmonization of the FAO, WFP and FEWS NET databases, in order to improve efficiency and enhance inter-operability.
A second phase is underway to begin implementing these recommendations, identify gaps in existing guidance, and review how market price data are collected and used in selected countries.
The ultimate objective of the project is to facilitate national capacity development on FSN information systems based on expressed demands.
This paper published by the Food Security Information Network (FSIN) proposes a common analytical model that comprises six components upon which resilience measurement may be based. It also:
The next outputs of the TWG will be short papers which contain guidance in targeted areas of resilience measurement.
The Food Security Information Network (FSIN) supports the development and harmonization of resilience measurement methods. A technical working group composed of renowned experts was constituted to lead the identification of resilience measurement principles and the development of a common analytical framework and technical guidelines for measurement.
This paper is an initial step toward the development of resilience measurement design used by stakeholders (e.g. programme staff, monitoring and evaluation, policy makers). It outlines:
This publication is the first in a series of three papers that will be issued over the course of the next year, which will focus on an analytical framework that addresses the challenges, issues and concerns associated with resilience measurement.
The aim of this paper is to assess the causal impact of trade policy distortions on food security. The added value of this work is twofold: i) its use of a non-parametric matching technique with continuous treatment, namely the Generalised Propensity Score (GPS) to address the self selection bias; ii) its analysis of heterogeneity in treatment (by commodities) as well as in outcome (i.e. different dimensions of food security). The results of our estimates clearly show that trade policy distortions are, overall, significantly correlated with the various dimensions of food security analysed. Both discrimination against agriculture and ’excessive’ support lead to poor performances in all dimensions of food security (availability, access, utilisation and stability).