Sustainable agri-food production
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Browsing Sustainable agri-food production by Author "Aremu, Adeyemi Oladapo"
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Item Determinants of Household Income and Willingness to Pay for Indigenous Plants in North West Province, South Africa: A Two-Stage Heckman Approach(MDPI, 2021-05-13) Omotayo, Abiodun Olusola; Ndhlovu, Peter Tshepiso; Tshwene, Seleke Christopher; Olagunju, Kehinde Oluseyi; Aremu, Adeyemi Oladapo; EconomicsUsing a cross-sectional dataset, this study examines the factors influencing the income and willingness to pay for indigenous plants by rural households in the North West Province of South Africa. The method of data analysis was based on a two-stage Heckman model. Based on empirical data, the majority (93%) of the households are willing to pay for the indigenous plants. Furthermore, factors such as the age of the household’s head, marital status, size of households, financial returns and economic benefit of indigenous plants significantly influenced income and willingness to pay for indigenous plants by the households. Thus, indigenous plants have the potential to penetrate local and international markets and can be used to improve the economies, livelihood, and food security status of rural households in South Africa. Indigenous plant cultivation can increase agro-food system species diversity while conserving plant species indigenous to this area of South Africa. Encouraging both consumption and production of indigenous plants can also help diversify local economies and communities.Item Socio-economic Drivers of Food Security among Rural Households: Evidence from Smallholder Maize Farmers(Springer, 2020-01-20) Ogunniyi, Adebayo Isaiah; Omotoso, Samuel Opeyemi; Salman, Kabir Kayode; Omotayo, Abiodun Olusola; Olagunju, Kehinde Oluseyi; Aremu, Adeyemi OladapoIssues relating to food availability, accessibility/afordability, and food utilization remain paramount among diferent stakeholders such as policymakers and academics. Using data from 250 maize farming households in Nigeria, the study used Foster–Greer–Thorbecke and probit regression model to investigate the factors determining households food security. The food insecurity measure shows that 23.2% points of the households express the incidence of food insecurity while 5.5% points and 1.8% points were found to have depth and severity of food insecurity, respectively. After controlling for households’ socio-economic and demographic characteristics, the probit regression model suggested that, among others, value of output sold, education, credit access and participation in government safety nets program signifcantly infuenced food security among the maize farmers in the study area. Based on our fndings, efort should be intensifed to enhance the productivity of land through improved production practices. There should be high-level awareness that will increase farmers’ participation in safety net programs. Thus, government at all levels (local, state, and federal) should have adequate budget allocation to this course in order to improve the livelihood outcomes of the farming households.