In the past, the conservation of biodiversity has been mostly understood in terms of the management of protected areas and natural forests, ignoring the possible role of farm areas and the ways through which rural communities have promoted biodiversity in their subsistence agricultural production systems. The present study focused on the floristic diversity within traditional agroforestry parkland systems around the Pendjari Biosphere Reserve in Benin and showed the diversity of tree species in the area as well as socio-economic factors which affect the practice of this farming system. We used questionnaires and interviewed a total of 118 households to collect data. Respondents were interviewed on their farms and during the interview; we inventoried the number of tree on the farm and determined the farm size. Twenty-one tree species belonging to 14 botanical families were recorded during the surveys and the average stand density of the woody component of farmlands was 7.97 ± 5.43 stems/ha. A number of both native and exotic tree species occurred in the parkland agroforestry systems with dominance of indigenous tree species. Species richness varied with the size of household where households with small land holding conserve more tree species in their field than households with large land holdings. 64% of households surveyed were making deliberate efforts to plant tree species on their farmlands. The most important reasons which determined household ambitions to conserve woody species on farmland were tree products contribution to food and medicine. Results also showed that respondents who noticed that trees were decreasing in the wild conserve more tree species on their farmlands. This research highlights the role of traditional agroforestry practices to support tree species richness and provides evidence of the farms' role as biodiversity reservoirs.

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Investigated in this work is the impact of contract farming participation on smallholder farmers’ income and food security in rice crop production in Northern Benin using 400 randomly selected rice farmer households. Unlike previous studies, we corrected for both observed and unobserved biases by combining propensity score matching (PSM) and the local average treatment effect parameter (LATE). The results showed significant negative consequences of partaking in rice contract farming. We found evidence of significant negative effects on rice production income at a 1% level. The more the rice farmers join in contract farming, the lower the farm income became. Decreased food consumption was also a result of contract farming participation for potential participants by a score of 60.64, placing their households at the food security status level of poor food consumption because the quantity and nutritional quality of the food consumed were inadequate. Contract farming is, therefore, not a reasonable policy instrument that can help farmers increase their income and improve their food security level in the Alibori Department, Benin if farmers do not diversify their crops. The necessary resources and economic environment are not yet in place to allow contract farming to take full advantage of its potential benefits. To prevent the wasting of scarce public resources, expanding contract farming would not be appropriate in marginal areas with markets and other infrastructure. Additional measures are needed for contract farming to be profitable for contracting actors and to ensure sustainability and the large-scale participation of farmers.

PurposeThis document analyses farmers' preferences and willingness to pay (CAP) for microcredit, in order to facilitate their access in rural areas.Design/methodology/approachData are based on a discrete choice experiment with 400 randomly selected farmers from 20 villages of the 7 Benin agricultural development hubs (ADHs). The preference choice modelling was performed using mixed logit (MXL) and latent class logit (LCL) models. Farmers' willingness to pay for each preferred attribute was estimated. The endogenous attribute attendance (EAA) model was also used to capture attribute non-attendance (ANA) phenomenon.FindingsThe results indicate that, on average, farmers prefer individual loans, low interest rates, in kind + cash loans, cash loans, disbursement before planting and loans with at least 10-month duration. These preferences vary according to farmers' classes. Farmers are willing to pay higher or lower interest rates depending on attribute importance. The estimate of the EAA model indicates that, when taking the ANA phenomenon into consideration, people will show stronger attitudes regarding WTP for important factors.Research limitations/implicationsBased on these results from Benin, microfinance institutions (MFIs) in developing countries can, based on the interest rates currently charged, attract more farmers as customers, reviewing the combination of the levels of the attributes associated with the nature of the loan, the type of loan (individual or collective), the disbursement period of funds, the waiting period of the loan and the loan duration. However, the study only considered production credit, ignoring equipment or investment credit.Practical implicationsThe document provides information on the key factors that can facilitate producers' access to MFI products and services.Social implicationsFacilitating small farmers' access to financial service will contribute to poverty reduction.Originality/valueThis research contributes to the knowledge of the attributes and attribute levels favoured by farmers when choosing financial products and the amounts they agree to pay for these attributes. The implementation of the results would facilitate small producers' access to financial services; thus contributing to poverty reduction.

La disponibilité des ressources en eau et la dégradation des sols deviennent un défi majeur et menacent sérieusement les systèmes de production agricole dans la zone semi-aride du Burkina Faso. Cet article est une étude de cas, qui vise à identifier les facteurs explicatifs de l'adoption de la technologie "Microdose" avec une combinaison des techniques de gestion de l'eau et de fertilité des sols, dans les exploitations agricoles des provinces de Zondoma et de Kouritenga au Burkina Faso. La collecte des données a été effectuée auprès d'un échantillon aléatoire de 360 exploitants agricoles repartis dans les deux provinces. Dans la zone d'étude, les principales cultures vivrières sont le sorgho, le mil le maïs et le niébé qui assurent la base alimentaire des ménages agricoles. L'analyse économétrique avec le modèle logit a permis d'identifier des facteurs déterminant l'adoption du paquet technologique "Microdose". Les résultats ont montré que la formation en microdose (à 1%), le revenu agricole (à 5%), le nombre d'actifs (à 10%) et l'équipement du producteur (à 10%) ont une influence positive sur l'adoption du paquet technologique. La superficie a en revanche, une influence négative sur l'adoption au seuil de 1%. Ces résultats sont susceptibles d'être exploités afin de promouvoir la production agricole dans les zones similaires.

This research analyzes the economic effects of climate change-induced crop yield losses in Benin. As agriculture is a large sector in Benin, the climate change-induced crop yield losses are expected to affect the entire economy as well as household welfare in both rural and urban areas. The paper applies a dynamic general equilibrium model and simulates productivity shocks in the agricultural sector derived from climate change scenarios for Benin. The findings show that climate change-induced crop yield losses reduce domestic agricultural outputs by 4.4% and the nonagricultural output by 0.9% on average by 2025. While export supply decrease by 25.5%, import demand increases by 4.9% on average by 2025. As price of labour and capital decline, household income drop for all household groups by 2.5% on average. Ultimately, household welfare decline for all household groups by 2.7% on average. Rural and particularly poor households are projected to experience the worst adverse effects of climate change-induced crop yield losses. The results show that without adaptive strategies to cope with climate change, economic growth and household welfare will decline even further by 2035 and 2045. Subsequently, the paper suggests that adaptation strategies are needed not only at the national level to overcome the projected negative effects on macroeconomic indicators, but also at household level to enhance the adaptative capacity of households, especially the poor households living in rural areas.In Benin, previous studies showed that yields of major food crops are likely to decline with implications for food security, farm incomes, and household welfare [8,9]. The high potential impact of climate change in Benin is due to the size of the agricultural sector in the economy. As of 2016, agriculture accounts for 23% of the Benin national GDP, 83% of total merchandise exports, and 41% of total employment [10]. Hence, the disruptive effects of climate change in the agricultural sector are felt beyond that sector in the entire economy. There are both direct and indirect effects of climate change on the agricultural sector. Direct effects include changes in agricultural outputs. Indirect effects encompass commodity and factor price changes affecting ultimately household incomes and expenditures.In this paper, the economy-wide implications of climate change in Benin are analyzed and quantified. While vulnerability and adaptation aspects of climate change have been studied in Benin [11][12][13], little is known about its economy-wide effects. In order to capture these effects, the study employs a single-country computable general equilibrium (CGE) model. The CGE framework allows to examine the interdependent links between supply and demand of agricultural products, on the one hand, and between agricultural markets and the rest of the economy, on the other hand [14]. The remainder of this paper is structured as follows: Section 2 presents the existing literature on the economy-wide effects of climate change, while Section 3 describes the ...

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This study aims to analyze the factors that influence the preference of producers and processors for paddy production contracts in Benin. Unlike previous research, this study estimates a global model using pooled data of producers and processors. In addition, it compares producers’ willingness to accept contracts’ attributes to processors willingness to pay for the same attributes. Data were collected in Benin from 300 producers and 140 processors of rice selected randomly. An estimation of the conditional logit model indicates that producers prefer contracts specifying cash payment, prefinancing, and quality agreement. Processors, on the other hand, prefer contracts specifying technical assistance for both harvest and all the production activities, and quality agreements. The latent class logit model shows that there is heterogeneity among the preferences of both producers and processors across the classes. However, producers prefer cash payment and processors assistance for harvesting across all the classes. This suggests that cash payment and assistance for harvesting are pivotal for contract selection by producers and processors, respectively. Producers are willing to accept a lower price for their paddy (reduction of 25.86 and 6.64 FCFA/kg) in exchange for specifying a cash payment mechanism and prefinancing in the contract. Processors are willing to pay an additional amount of 5.58 CFA/kg of paddy to secure good quality rice.