Spatial interactions are essential drivers of price transmission mechanisms and may significantly affect any food’s policy outcomes. However, spatial aspects seem to be generally overlooked when analyzing price transmission. This paper attempts to fill this gap by highlighting the usefulness of spatial interaction and models for market integration analysis. A spatial dynamic panel datamodel is presented and applied to Niger’s millet market. Empirical results show that (1) the millet market is partly integrated, (2) locally traded commodities (millet and sorghum) are linked by a cross-commodity price transmission, (3) most imported cereals prices, which for Niger is maize and rice, did not affect the millet market, and (4) no cross-regions price transmissionoccurred for the millet market.

This study tests the long-run and short-run integration of maize markets in Malawi using the co-integration approach within the Vector Autoregressive modeling framework. The analysis is extended to Wald-F Granger Causality tests to see the direction of causality between maize markets. A total of six maize markets, two from each region, were analyzed. Three are urban markets, while two of the three rural markets are border markets. The study uses monthly maize retail prices for the period January 2000 to May 2008. Study findings show that nine out of the fifteen market pairs are integrated in the long-run, but the degree of short-run market integration is low, implying that the transmission of price information is slow.

This research examines the extent of market integration among different bean markets across Malawi. Market integration is an indicator that efficiency exists within the flow of information between markets. The study focused on beans as they are a cheap source of protein affordable by the majority of rural smallholder farmers. Market price data for beans was obtained from the Ministry of Agriculture and Food Security and covered the period 1995 to 2011. The markets included in the study are Chitipa, Rumphi, Mzuzu, Lilongwe, Mitundu, Lizulu, Lunzu, Luchenza, and Bangula. Like prices of other agricultural crops, bean prices follow a general seasonal pattern, rising with increasing time since the last harvest and decreasing during the harvest period. Bean prices typically peak in December when bean supply to the market is low. The research results show that beans prices in different markets move in the same direction, meaning that the markets are co-integrated. However, price information is not fully transmitted between markets. Transaction costs were found to be higher in markets which are far away from major cities and in those markets serviced by poor roads. Based on the results, the study recommends the need to improve infrastructure and market information systems to enhance bean market efficiency in Malawi.

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This book argues that the viability of many observed market and non-market interventions in agricultural products worldwide depends considerably on the underlying behaviour of the relevant commodity markets. Many of these policies have had distortive impacts, resulting in much discussion and controversy in the context of the World Trade Organization (WTO) Doha Round of trade negotiations.