Mohammed M Abdulkareem, PhD | Ankara University (original) (raw)
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Papers by Mohammed M Abdulkareem, PhD
The research studied the effects of demographic and socioeconomic characteristics of cassava farm... more The research studied the effects of demographic and socioeconomic characteristics of cassava farmers on output levels in the Savannah Zone of Northern Ghana. One hundred and fifty cassava farmers were sampled randomly. The data were collected through a structured questionnaire from respondents. The farmers were drawn from three regions that fall under the Savannah Zone. Six districts were purposively selected from the regions. One hundred male cassava farmers and fifty female cassava farmers were considered for the study. An econometric model was specified to determine the relationship between the socioeconomic characteristics and cassava output levels. The estimated linear regression model revealed that gender, education, experience, farm size and primary occupation of farmers were statistically significant. Other factors as marital status and land ownership of producers were found to be negative. The findings showed that producers whose primary occupations were not farming do not realise as much output as their counterparts who consider farming as their profession.
The study adopts a Stochastic Frontier Analysis (SFA) approach to estimate the technical efficien... more The study adopts a Stochastic Frontier Analysis (SFA) approach to estimate the technical efficiency of cassava production in the Savannah Zone of Northern Ghana. A cross-sectional data from 150 producers generated from a simple random sampling method was used in the analysis. A transcendental logarithmic production functional form fitted into a half-normal distribution model was estimated. The mean technical efficiency of the producers was found to be 51% indicating that about 49% of output level is lost to technical inefficiency. This means that farmers could increase their output level by 49% without additional employment of resources and technology. Technical inefficiency was modelled as a function of farmer specific socioeconomic factors. The hypothesis tested showed that the translog production function best represents the production process. The elasticities of land and planting materials are 0.92 and 0.83 respectively. They are positive but less than one implying they have inelastic effect on the output quantities of cassava obtained. The implication is that 1% increase in the quantities of the inputs will result in less than the corresponding increase in the output level. Other elasticities reported negative values, this means marginal addition of those inputs lead to marginal decrease in outputs. The Scale elasticity is 1.74 implying that the farmers are producing at increasing returns-to-scale.
The research studied the effects of demographic and socioeconomic characteristics of cassava farm... more The research studied the effects of demographic and socioeconomic characteristics of cassava farmers on output levels in the Savannah Zone of Northern Ghana. One hundred and fifty cassava farmers were sampled randomly. The data were collected through a structured questionnaire from respondents. The farmers were drawn from three regions that fall under the Savannah Zone. Six districts were purposively selected from the regions. One hundred male cassava farmers and fifty female cassava farmers were considered for the study. An econometric model was specified to determine the relationship between the socioeconomic characteristics and cassava output levels. The estimated linear regression model revealed that gender, education, experience, farm size and primary occupation of farmers were statistically significant. Other factors as marital status and land ownership of producers were found to be negative. The findings showed that producers whose primary occupations were not farming do not realise as much output as their counterparts who consider farming as their profession.
The study adopts a Stochastic Frontier Analysis (SFA) approach to estimate the technical efficien... more The study adopts a Stochastic Frontier Analysis (SFA) approach to estimate the technical efficiency of cassava production in the Savannah Zone of Northern Ghana. A cross-sectional data from 150 producers generated from a simple random sampling method was used in the analysis. A transcendental logarithmic production functional form fitted into a half-normal distribution model was estimated. The mean technical efficiency of the producers was found to be 51% indicating that about 49% of output level is lost to technical inefficiency. This means that farmers could increase their output level by 49% without additional employment of resources and technology. Technical inefficiency was modelled as a function of farmer specific socioeconomic factors. The hypothesis tested showed that the translog production function best represents the production process. The elasticities of land and planting materials are 0.92 and 0.83 respectively. They are positive but less than one implying they have inelastic effect on the output quantities of cassava obtained. The implication is that 1% increase in the quantities of the inputs will result in less than the corresponding increase in the output level. Other elasticities reported negative values, this means marginal addition of those inputs lead to marginal decrease in outputs. The Scale elasticity is 1.74 implying that the farmers are producing at increasing returns-to-scale.