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2012
DOI: 10.4314/joafss.v9i1.4
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Determinants of total factor productivity in rain-fed lowland rice production system in Nigeria

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Cited by 2 publications
(3 citation statements)
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“…Nigeria's long coastline, tropical climate, reliance on agriculture, and low family capacity for climate change adaptation all contribute to the country's vulnerability to shocks, particularly those related to climate change (Adepoju and Salman, 2013). Akintayo and Rahji (2011) states that "agriculture is the most prevalent income-generating activity in many Nigerian households," which is consistent with the Maplecroft Report (2013) finding that countries susceptible to climate change depend significantly on agriculture. As a result, rural livelihoods in Nigeria are extremely sensitive to climate change.…”
Section: Introductionmentioning
confidence: 59%
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“…Nigeria's long coastline, tropical climate, reliance on agriculture, and low family capacity for climate change adaptation all contribute to the country's vulnerability to shocks, particularly those related to climate change (Adepoju and Salman, 2013). Akintayo and Rahji (2011) states that "agriculture is the most prevalent income-generating activity in many Nigerian households," which is consistent with the Maplecroft Report (2013) finding that countries susceptible to climate change depend significantly on agriculture. As a result, rural livelihoods in Nigeria are extremely sensitive to climate change.…”
Section: Introductionmentioning
confidence: 59%
“…In line with Fakayode et al, (2008) the inputs that considered in this study are: cost of labour, cost of planting materials, cost of inorganic fertilizer, Cost of herbicide and cost of pesticide. Following Akintayo and Rahji, (2011) to examine the effect of some socio-economic variables as well as Climate smart techniques on the "Total Factor Productivity" (TFP), the TFP estimate was subjected to ordinary least square regression to obtain the coefficient of multiple determinations (R 2 ), F-Statistics, standard error and their values. The ordinary least square regression model is a best linear unbiased estimator whose estimate possesses the desirable properties of unbiasedness, efficiency and consistency.…”
Section: Analytical Techniquementioning
confidence: 99%
“…The Cobb-Douglas production function is specified as: The expanded form is: Based on the view of Hussain and Perera, (2004) and as adopted by Akintayo and Rahji, (2011), Adepoju and Salman, (2013) the following factors were hypothesized as the determinants of TFP of arable crop farmers in the study area.…”
Section: Analytical Techniquementioning
confidence: 99%