Browsing by Author "Oyetunde-Usman, Zainab"
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Item Determinants of adoption of multiple sustainable agricultural practices among smallholder farmers in Nigeria(Elsevier, 2020-11-03) Oyetunde-Usman, Zainab; Olagunju, Kehinde Oluseyi; Ogunpaimo, Oyinlola RafiatDespite the important roles of Sustainable Agricultural Practices (SAPs) in improving productivity, welfare, and food security of farming households, the adoption rates of SAPs have been perceived to be generally low, especially in developing countries. Using cross-sectional data collected from the 2015 Nigeria General Household Survey, this study examines the factors influencing the adoption of multiple SAPs, while also considering the drivers of the intensity of adoption of these practices. The methods of data analysis are based on the Multivariate probit and the Ordered probit models. The SAPs considered include improved seeds, inorganic fertilizer, mixed-cropping techniques, and organic manure. The empirical results show that farmers’ adoption of different SAPs and their intensity of use depend significantly on factors such as the age of household head, gender, education, household size, access to extension services, and household wealth status. Our findings imply that policymakers and agricultural development agencies should seek to maintain or increase household asset bases, and encourage both formal and informal training programme among farming households to facilitate the adoption of SAPs.Item Does agricultural cooperative membership impact technical efficiency of maize production in Nigeria: An analysis correcting for biases from observed and unobserved attributes(Public Library of Science, 2021-01-22) Olagunju, Kehinde Oluseyi; Ogunniyi, Adebayo Isaiah; Oyetunde-Usman, Zainab; Omotayo, Abiodun Olusola; Awotide, Bola AmokeThe formation of agricultural cooperatives has been widely promoted as an agricultural development policy initiative to help smallholder farmers cope with multiple production and marketing challenges. Using a nationally representative survey dataset of smallholder maize producers from rural Nigeria, this study assesses the impact of agricultural cooperative membership on technical efficiency (TE). We based our estimation approach on the combination of a newly developed sample selection stochastic production frontier model with propensity score matching to control for possible selectivity biases from both observables and unobservables. We estimate stochastic meta-frontiers to examine TE differences between cooperative members and non-members. Our results reveal that TE levels of members are consistently higher than that of non-members. This calls for continued policy incentives targeted at encouraging farmers to form as well as participate in agricultural cooperatives.