Browsing by Author "Conteh, Alhaji M. H."

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Adopting an Empirical Perception from the Vector Error Correction Model Technique to Examine the Influence of Credit availability on Rice Productivity in Sierra Leone
(Global Society of Scientific Research and Researchers, 2022-08-24) Conteh, Alhaji M. H.
Through the help of the vector error correction model technique, this research work explored the effect of credit availability on rice productivity in Sierra Leone in the period 1986–2021. Results from the analysis revealed that an increase in credit availability would cause an upsurge in rice productivity. Furthermore, this work showed that a sudden decrease in labor and investment would bring about a decrease in rice productivity whereas a sudden increase in inflation and money availability would lead to an increase in rice productivity in Sierra Leone. From the evidence on this findings, it is suggested that state owned financial institutions ought to provide a system that will afford loans that are free of interest rate to rice cultivators. Similarly, administrators ought to inspire rice cultivators through the provision of farm inputs such as land, high yield rice seed varieties and fertilizers to rice cultivators
The determinants of grain storage technology adoption in Sierra Leone
(Université des Réseaux d'Expression Française, 2015) Conteh, Alhaji M. H.
In Sierra Leone, there is renewed concern about post-harvest losses which account for 20-30% loss of farm produce. The lack of adequate storage facilities also affects produce quality, reducing produce market value with negative implications for various parts of the value chain (consumers, processors, etc.) requiring high quality raw materials. This study uses the Logistic Regression Model to determine the factors that influence the adoption of Grain Storage Technologies (GSTs) promoted by Sierra Leone Agricultural Research Institute (SLARI) in Sierra Leone. The study shows that education, household size and cultivated grain type are positively related to GST adoption, while farming and farmland acquisition modes are negatively related to their adoption. Interestingly, access to credit and extension services have little influence on the adoption of GST. Credits, like extension services, are haphazard and random with high interest rates and political connotations that farmers generally detest. As rural farmers are largely poor, GSTs are generally viewed as additional expenditures. It is appropriate that SLARI, government and other stakeholders refocus efforts on collective/community post-harvest storage systems such as farmer/community associations and co-operations. Facilitating efficient post-harvest storage systems in rural/farming communities benefits not only farmers in terms of increased income, but also hunger-stricken populations across Sub-Saharan Africa in terms of food security.
Using a Logistic Regression Model to Analyze Alley Farming Adoption Factors in Sierra Leone
(Springer Science+Business Media, 2015-11-06) Conteh, Alhaji M. H.
Utilising the Total or Cultivation (TFC) and Multiple Regression (MR) Models to Examine the Factors Influencing Rice Cultivation Farms in the Bombali District, Sierra Leone
(Global Society of Scientific Research and Researchers, 2022-09-04) Conteh, Alhaji M. H.
Many obstacles to attaining rice self-sufficiency in Sierra Leone, is the stumpy cultivation of this staple food crop which transformed to inadequate rice availability for the entire sierra Leonean population. Several determinations have been made by the successive Sierra Leone governments towards rice self-sufficiency. Much attention is constantly given to improving the inputs utilised by the rice cultivators, and improvement of better-quality rice seed varieties whereas the main reasons of the low rice cultivation are left unaddressed. Consequently, this study focussed on the examination of the main factors that influence rice cultivation farms in Bombali district, North-Eastern of Sierra Leone. Through a multi-stage sampling technique, approximately 600 rice farms were selected. This study used primary source with structured questionnaire for the collection of data. The data were analysed by using mean, percentage, standard deviation, Total Factor Cultivation (TFC) and Multiple Regression (MR) techniques. The result from data analyses confirms that the size of rice farm, household size, and extension visitation positively and significantly influenced cultivation of Bombali district rice farms, whereas the herbicide practise and age of the farmer negatively influenced cultivation of Bombali district rice farms. Additionally, the result disclosed that a 1% surge in herbicide amount significantly reduced the cultivation of rice farms by 3.84 %. Consequently, Sierra Leone Agricultural Research Institute (SLARI), and other agricultural agencies that are responsible for the training of farmers should strengthen effort in the herbicides practise. Systematic and thorough soil analysis ought to be conducted in Bombali district rice farms to establish the compatibility of soil and herbicide practice.