DEPARTMENT OF AGRICULTURAL ECONOMICS
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Item Optimal transportation and spatial integration of regional palm oil markets in Nigeria(Intemational joumal of operations research and information systems, 2016) Nwauwa, L. O. E.; Adenegan, K. O.; Rahji, M. A. Y.; Awoyemi, T.T."The poor quality of transportation infrastructure in Nigeria impacts negatively on the competitiveness of palm oil. This leads to increased inter-regional transportation cost, delayed time of arrival to the destination and lowered transaction efficiencies in the distribution chains. Primary and secondary data were used. Random sampling technique was used to collect data from 276 distributors in main palm oil markets. Data were analyzed using linear programming and Ravallion model at 0.05 a-level. Results of the data analyzes show that average cost of transporting palm oil from the production market to the consumption market was N5,831.9 per MT. Observed transportation cost was N60,724,830.5 while the optimal cost was N44,003,500.30 indicating a 38.0% reduction in total cost of transportation. Highest optimal allocations to the destination markets were Owerri-Jos (133,500 MT), Ondo-Lagos (107,200 MT) and Port Harcourt-Kano (82,000 MT) at minimum transportation cost of N5,750, N4000.7and N6500.0 per MT respectively. Two lag periods were identified signifying that it takes about 1-2 months for price information to spread across the markets by the model. Six of the 27 market pairs exhibited high short-run market integration for both lag periods with Port Harcourt-Abuja market pail: indicating the highest (0.1 and 0.004). The lowest short-run market integration was recorded in Ondo-Minna market pair indicated by 1.4 and 17.4 respectively. Policies that will enhance redistribution of palm oil supply between producing and consuming regions should be pursued. "Item Spatial price analysis of tomatoes in nigeria(International Journal of Management and Marketing Research, 2012) Adenegan, K. O.The study examined market integration in tomato markets in selected producing and consuming states in Nigeria. Secondary data on tomato prices spanning 2003 -2006 were sourced from National Bureau of Statistics. The data were analyzed using Augmented Dicker Fuller (ADF) and Granger Causality tests. Results indicated that the maximum tomato price was recorded in Ekiti in November, 2006 while the minimum price was recorded in Kano state in August, 2006. The results also revealed that prices of tomato were not stationary in their level form but become stationary at the first difference lever Seven tomato markets rejected their respective null hypothesis of no granger causality. None of the markets exhibited bi -directional granger causality or simultaneous feedback relationships Seven markets exhibited unidirectional granger causality. The results also indicated that Ekiti and Katsina states occupy the leadership position in tomato price formation and transmission. We recommend there should be efficient flow of information and good access road and infrastructural development among the states to improve market performance.