The objective of this study was to assess the condition of the road network within the district with a view to find out if and how they affect the transportation costs. Four sets of primary and secondary data on the district’s road surface types, road condition mix, cost of transportation of farm produce and humans on the road network were collected, collated and subjected to statistical analysis using a Completely Randomized Design. The results indicated that the road conditions had high significant effects on the transportation costs of both human and agricultural produce. The road network of the district consists of 21 roads with a total length of 176.6 kilometers out of which 8 were classified as poor, 7 as fair and only 6 as good. The highest agricultural produce transportation cost of 1.46 per tonne-kilometer was obtained from 3 of the poor roads while the lowest cost of 0.86 per tonne-kilometer was obtained from only 1 of the 6 good roads. The highest passenger transportation cost of 0.3 per passenger kilometer was obtained for 1 of the 8 poor roads while the lowest cost of 0.1 per passenger kilometer was obtained for all the 6 good roads and 4 of the fair roads. In conclusion, transportation cost of passengers on the poor and fair roads was 2 - 3 times as high as the cost of transportation on the good roads. Transportation cost of agricultural produce on the poor roads was 70% higher than it was on the good roads.
study examined the relationship between insurance and economic growth in
sub-Saharan Africa over the period 1986-2011. Pooled OLS, Fixed Effect Model and Generalized
Method of Moment Panel Model were employed in the estimation. The estimations
of the dynamic panel-data results show that insurance has positive and
significance impact on economic growth in sub-Saharan Africa. This shows that
premium contributes to economic growth in sub-Saharan Africa which means that a well-developed insurance sector is
necessary for the economic development, as it provides long-term investments
for economic growth and simultaneously strengthening risk-taking abilities. The
results also show that human capita has positive significant impact on economic
growth. Openness and interest rate have negative and statistical significant on economic growth.