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    Factors Affecting the Income of Farmers Participating in Traditional and Modern Livestock Markets: Case Study from Benin Republic
    (Selçuk Üniversitesi, 2021) Akouegnonhou, Oscar; Demirbaş, Nevin
    Livestock markets in pastoral areas of Africa are institutions that facilitate the marketing of animals and animal products. The income of farmers participating in these livestock markets is influenced by various social and economic factors. These factors are generally not considered by farmers when making their decisions. Knowledge and control of these factors will enable farmers to make rational decisions in the production and sale of their animals, and thus improve their income. It is in this context that this study aimed to determine the factors affecting the income of rural households engaged in animal husbandry in the Republic of Benin. Livestock production system in Benin has been mostly traditional. However, the system has been gradually modernized. The farmers have marketed their livestock and livestock products in two types of selfmanaged livestock markets which are “Marché à Bétail Autogéré” (MBA) as modern market and “Marché à bétails Traditionnel (MT) as traditional livestock markets. The data of the research were obtained from face-to-face surveys conducted with 300 farmers in livestock markets. Multivariate regression model was used to analyze the factors affecting rural household income. Model results show that the variables of education level, experience in livestock farming, access to credit, number of cattle, number of sheep, pasture use, access to veterinary services, and membership to a livestock organization had a significant positive effect on the incomes of farmers preferring the MBA livestock market. While the variables of experience in livestock farming, number of cattle, pasture use, farmland ownership, and number of sheep had a significant positive effect on the incomes of farmers preferring the MT livestock market.
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    Forecasting of Rice Self-Sufficiency in the Benin Republic Using ARIMA Model
    (Selçuk Üniversitesi, 2019) Akouegnonhou, Oscar; Demirbaş, Nevin
    Rice is one of the staple foods in the Benin Republic. Annual rice consumption is increasing faster than annual rice production. That is why Benin is not yet self-sufficient in rice production. To meet the local demand, huge quantities of rice are imported. For country planning, forecasting is the main tool for predicting rice variables. This paper describes an empirical study that used a time series modeling approach (Box-Jenkins’ ARIMA model) to forecast rice production, rice consumption, rice importation, rice exportation and finally rice self-sufficiency in Benin. Based on ARIMA model, the rice self-sufficiency rate in Benin is forecasted to be 47%, 56%, 58%, 59% and 68% respectively in 2019, 2020, 2021, 2022 and 2023. The forecasts would be helpful for the policy makers to foresee ahead of time the future requirements of rice production, adopt appropriate measures to develop rice sector for effective rice self-sufficiency and to reduce rice importation.