ABSTRACT
The technical, allocative and economic efficiency of food
crop producers was evaluated. A multi-stage random sampling technique was
adopted in selecting one hundred and twenty food crop producers from the three
agricultural zones of the State. A cost route approach was used to obtain
information on the socio-economic characteristics of the farmers output, inputs
and their prices. Descriptive statistics such as means, frequencies and percentages
were used in presenting the data on the socio-economic variables. The
Cob-Douglas and cost function were estimated using the Maximum Likelihood
estimation technique and to obtain the technical, allocative and economic
efficiencies of the farmers. The generalized likelihood ratio estimation was
used in testing hypothesis of full technical, allocative and economic
efficiencies, while t-test statistics was employed in testing their
determinants. Socio-economic determinants of efficiencies were also studied.
The results showed that most of the farmers 43.33 percent have farm size that
is less than one hectare. Most of the respondents were women 58.67 percent.
About 70 percent of the farmers were within the age bracket of 31 and 40 years.
Cob-Douglas Stochastic Frontier functional form were adjudged the best fit for
technical and economic efficiency based on the high values of log-likelihood
function, number of significant variables and appropriateness of a priori
expectations. Significant factors influencing Stochastic Frontier production
function were farm size, labour, fertilizer and capital. Factors influencing
Stochastic cost function were price of planting materials, wage rate, price of
fertilizer and interest on capital. The positive determinants for technical,
allocative and economic efficiency were age, gender, farming experience and
extension contact, while the negative determinants were membership of farm
associations, educational level, farm size, household size and access to
credit. The results showed that food crop producers were not efficient and
required a cost savings of about 14 percent to be technically efficient, 17
percent to be allocatively efficient and 18 percent to be economically
efficient. The null hypothesis of full technical, allocative and economic
efficiency were rejected which implied that there is room for efficiency
growth.
ANIMPUYE, A (2021). Efficiency Of Small Scale Food Crop Producers In Abia State, Nigeria: A Stochastic Frontier Approach. Repository.mouau.edu.ng: Retrieved Nov 22, 2024, from https://repository.mouau.edu.ng/work/view/efficiency-of-small-scale-food-crop-producers-in-abia-state-nigeria-a-stochastic-frontier-approach-7-2
ANIMPUYE, ANIMPUYE. "Efficiency Of Small Scale Food Crop Producers In Abia State, Nigeria: A Stochastic Frontier Approach" Repository.mouau.edu.ng. Repository.mouau.edu.ng, 26 Oct. 2021, https://repository.mouau.edu.ng/work/view/efficiency-of-small-scale-food-crop-producers-in-abia-state-nigeria-a-stochastic-frontier-approach-7-2. Accessed 22 Nov. 2024.
ANIMPUYE, ANIMPUYE. "Efficiency Of Small Scale Food Crop Producers In Abia State, Nigeria: A Stochastic Frontier Approach". Repository.mouau.edu.ng, Repository.mouau.edu.ng, 26 Oct. 2021. Web. 22 Nov. 2024. < https://repository.mouau.edu.ng/work/view/efficiency-of-small-scale-food-crop-producers-in-abia-state-nigeria-a-stochastic-frontier-approach-7-2 >.
ANIMPUYE, ANIMPUYE. "Efficiency Of Small Scale Food Crop Producers In Abia State, Nigeria: A Stochastic Frontier Approach" Repository.mouau.edu.ng (2021). Accessed 22 Nov. 2024. https://repository.mouau.edu.ng/work/view/efficiency-of-small-scale-food-crop-producers-in-abia-state-nigeria-a-stochastic-frontier-approach-7-2