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.

This study has analyzed the factors affecting common bean production and marketing decisions by agricultural households in Malawi. The empirical results from applying the triple hurdle model to the IHS3 data demonstrate that different sets of factors affect smallholder farmers’ production, market participation and the intensity of participation decisions with respect to common beans. The location of the farmer, ownership of a radio, receipt of production extension services and FISP benefits, distance to main road and distance to the nearest market affected the agricultural household’s decision to produce common beans.

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.

The government of Malawi in 2004 initiated an ICT-based Malawi Agricultural Commodity Exchange, a market information service project, to improve access by farmers to market information. MACE was intended to improve the efficiency of agricultural markets as part of the strategy to improve food security. This study uses quantitative methods to examine whether MACE has contributed to efficiency of rice markets in Malawi. It especially tests if MACE has contributed to spatial integration of rice markets. As hypothesized, the study finds that the tendency of rice prices to move together in spatially separated markets has significantly increased since the implementation of MACE. It concludes that ICT-based market information services project enhances linkages between markets and can therefore improve the efficiency with which agricultural markets perform. The study discusses implications of this finding for policy.

Small farmers and traders often lack the market information they need to earn the most from their crop sales. This paper analyzes the effects of an action research experiment in central Malawi, in which four groups of smallholder farmers were provided with maize and soybean price information from a local commodity exchange during the 2019 marketing season, while four other groups of smallholder farmers did not receive this information. Using data from a panel survey of 399 farmers and 78 traders conducted before and after the main marketing season and using kernel propensity score matching approach to account for possible differences between the treated and non-treated farmers, we estimate the effects of the intervention on a number of outcome indicators. A before versus after analysis was also employed to evaluate changes in traders’ marketing outcomes. We find positive but statistically insignificant effects on maize and soybean selling prices, sales through structured markets and levels of commercialization after the intervention. We also find a negative and statistically significant effect on the quantity of maize sold by farmers, suggesting paradoxically that providing farmers with price information reduced their sales volumes. The proportion of traders aware of structured markets and their share of sales through structured markets also increased significantly after the intervention. The quantity of maize sold by traders as well as the selling prices for maize and soy-bean also increased significantly, although this may be due to factors other than the intervention. The study concludes that provision of price information alone is not enough to facilitate small farmers’ and traders’ use of structured markets. Greater effort is needed to sensitize farmers and traders on the quality and quantity requirements as well as the operations of structured markets.

Master's Thesis from the year 2007 in the subject Business economics - Miscellaneous, grade: A, , course: Agric Economics, language: English, abstract: This study examined the dynamism of price movement between markets and its implication on pricing efficiency in maize markets. Primary data were collected using interview guides. A total of 240 respondents were selected using stratified random sampling technique in 6 rural and 6 urban markets in Ogun State. Weekly retail prices of yellow and white maize for five years (January 1999-December 2003) were analysed using the Bivariate Cointegration test and the Granger causality test to detect the presence and level of price integration. In Ogun State, domestic production of maize increased by 9 percent a year between 1990 – 2001. Although the growth in maize production may be attributed to cultivating more crop area and/or the adoption of improved open pollinated and hybrid maize varieties which provide the major stimulus for increased yield on the average. Annual growth rate of maize yields was 9.08 percent during 1990 - 2001. Most of the growth came from yellow maize, which increased at 8.92 percent annually, compared with 3.57 percent for white maize. In comparison with other states in South-West however, the Ogun state average yield of 1.41 metric tons per hectare is the lowest. i. How integrated are the maize markets in the study area? ii. Are there evidences of lead-lag relationship among spatial maize markets in Ogun State? iii. Are there evidences of communication of information to integrate spatial markets? iv. How long does it take information to become common knowledge across spatially dispersed markets (temporal effect)? v. Are the market systems competitive or not?