Testing for food market integration revisited

This article considers the statistical performance of four commonly used econometric tests for market integration: the Law of One Price, the Ravallion Model, cointegration and Granger causality. A spatial price equilibrium (SPE) model, that is subject to both production shocks and general price inflation, and mimics many of the key characteristics of integrated food markets, is constructed. The model is used to generate food price time series of lengths that are typical of the short sample sizes available in most developing countries, for both instantaneously integrated and independent markets. A series of Monte Carlo experiments on these artificial food price time series are performed, which show that all four of the conventional tests for market integration are statistically flawed.

Agricultural Service Center Location Problem:Concept and a MCDM Solution Approach

Part 2: Knowledge-Based ServicesInternational audienceThe main aim of this study is to develop a multi-criteria decision making approach considering all aspects of the agricultural service center location problem (ASCLP). Initially a Delphi Fuzzy-AHP survey has been completed to extract the objectives and attributes of the ASCLP and their local weights. The main novel contribution of this paper is extracting and considering in a comprehensive manner the attributes and objectives for solving the problem of identifying: technical potential of candidate locations and demand and market location. By using the developed attributes, two scores (maxi-min and maxi-max) are computed for each candidate location and non-dominated solutions identified