Prof Olugbenga Alabi - Academia.edu (original) (raw)

Papers by Prof Olugbenga Alabi

Research paper thumbnail of Efficiency of Resource-Use and Marginal Value Productivity Analysis Among Maize Farmers, Abuja, Nigeria

DergiPark (Istanbul University), Sep 1, 2022

The study examined efficiency of resource-use and marginal value productivity analysis among maiz... more The study examined efficiency of resource-use and marginal value productivity analysis among maize farmers, Abuja, Nigeria. Specifically, the objectives were to: determine the socioeconomic characteristics of maize farmers, analyze costs and returns of maize production, determine the marginal value productivity among maize farmers, evaluate resource-use efficiency of maize production, and determine the constraints faced by maize farmers in the study area, multi-stage sampling technique was used to select one hundred (100) maize farmers. Primary data were used. Data were collected through the use of well-designed and well-structured questionnaire. The analytical tools used were descriptive statistics, farm budgeting technique, financial analysis, Cobb-Douglas production function model, marginal value productivity index, resource-use efficiency index, and principal component analysis. The results show that 65% of maize farmers are less than 50 years of age. The mean age of maize farmers was 47 years. The maize farmers are energetic, active, resourceful in their youthful age. Maize farmers are smallholder, peasant, poor farmers with average of 4.75 hectares of farmland. Maize farmers had on the average of 8 people per household. Maize production is a profitable enterprise with gross margin and net farm income of 776,100 Naira and 758,700 Naira per hectare of farmland respectively. The gross margin ratio of 0.64 implies that for every naira invested in maize production by smallholder maize farmers, 64 kobo covered interest, profits, expenses, taxes and depreciation. Age (X_1), and fertilizer input 〖(X〗_4) are statistically significant factors influencing output of maize production at (P<0.01), while farm size 〖(X〗_2), labour input (X_3), seed input 〖(X〗_5) and chemical input 〖(X〗_6) are statistically significant factors influencing output of maize production at (P<0.05).The coefficient of multiple determinations (R^2) was 0.789. This implies that the explanatory variables included in the Cobb-Douglas production regression model explained 78.9% of variations in output of maize produced. The resource-use efficiency index [r], which is a ratio between marginal value productivity of resource input and marginal factor cost, the factor price shows that land input, seed input, fertilizer input, labour input and chemical input were underutilized. The retained constraints in the principal component analysis faced by maize farmers were lack of fertilizers, poor road infrastructures, lack of improved seeds, lack of credit facilities, lack of extension services and poor storage facilities. The study recommends adequate supply of farm inputs like improved seeds, fertilizers, chemicals such as insecticides and pesticides. Bureaucratic processes and cumbersome administrative procedures involved in accessing credit facilities should be removed, government should provide good roads linking maize producing areas and extension services should be employed who will organize workshops, seminars and training of maize farmers on research findings and efficient use of farm resources.

Research paper thumbnail of Socio-economic determinants of smallholder rice (Oryza sativa) farmer’s access to Loan facilities, Abuja, Nigeria

International Journal of Agriculture Environment and Food Sciences

This research study focused on socio-economic determinants of smallholder rice farmer’s access to... more This research study focused on socio-economic determinants of smallholder rice farmer’s access to loan facilities, Abuja, Nigeria. Multi-stage sampling technique was adopted to select 100 smallholder rice farmers. Primary sources of data were used. Data were collected from smallholder rice farmers with the help of well-designed and well-structured questionnaire. Statistical and econometric tools were used for data analysis. The results show that 82% of smallholder rice farmers were between 31 to 50 years of age. About 67% of smallholder rice farmers had access to loan facilities. Sources of loan obtained by smallholder rice farmers are formal (68.66%) and informal sources (31.34%). Averagely, smallholder farmers obtained 200, 754.72 Naira and 129,558.82 Naira from formal and informal sources respectively. Age (X1), farm size (X2), household size (X3), marital status (X5), access to extension services (X7) and membership of cooperative organizations (X8) were statistically and signif...

Research paper thumbnail of Technical Efficiency of Cowpea (Vigna unguiculata (L.)Walp) Production in Nasarawa State, Nigeria

European Journal of Agriculture and Food Sciences

This study evaluated technical efficiency of cowpea production in Nasarawa State, Nigeria. The sp... more This study evaluated technical efficiency of cowpea production in Nasarawa State, Nigeria. The specific objectives were to determine socio-economic characteristics of the cowpea farmers, estimate costs and returns of cowpea production, evaluate the technical efficiency of cowpea production, evaluate the determinants of technical efficiency of cowpea production, and identify the constraints militating against cowpea production in the study area. Multi-stage sampling technique was adopted and employed. Data for this study was collected from the primary sources through well-structured questionnaires. The results of the analysis show that majority (79%) of the sampled cowpea farmers were male, the average age of the sampled farmers was 45 years indicating that they are still active and agile operating at a small scale level of 2.14 ha farm size. The study further shows that cowpea production is a profitable agribusiness with 2.8% return on investment. Factors that are statistically sign...

Research paper thumbnail of Resource Use Efficiency and Profitability Analysis of Tomato Production (Lycopersicum Esculetum Species) in Federal Capital Territory, Nigeria

European Journal of Agriculture and Food Sciences

This study evaluated resource use efficiency and profitability analysis of tomato production in F... more This study evaluated resource use efficiency and profitability analysis of tomato production in Federal Capital Territory, Nigeria. The specific objectives were to: determine the socio-economic characteristics of tomato farmers; analyze the cost, returns and profitability of tomato production, evaluate factors influencing output of tomato production, estimate resource use efficiency of tomato production, and identify the constraints facing tomato farmers in the study area. Multi-stage sampling technique was used. Primary data were collected through the use of well-structured questionnaires administered to 100 sampled tomato farmers. Data were analyzed using the following tools of analysis; descriptive statistics, gross margin analysis, financial analysis, Cobb-Douglas production functional model and resource use efficiency index. The results show that 83% of sampled tomato farmers were male. About 54% of the sampled respondents were above 41years of age. Majority 79% of the sampled ...

Research paper thumbnail of Gender analysis of perceived effectiveness of electronics wallet in fertiliser distribution among vegetable farmers in Ekiti State Nigeria

This study was conducted to compare the effectiveness of e-wallet in fertiliser distribution on g... more This study was conducted to compare the effectiveness of e-wallet in fertiliser distribution on gender basis among vegetable farmers in Ekiti State, Nigeria. Four Local Government Areas (LGAs) were selected for the study because of the present of registered farmers. Three communities were randomly selected from each LGAs. In all, 120 registered vegetable farmers were selected using multistage sampling procedure. Descriptive and inferential statistics were used to analyze the data at p=0.05. Results show that 45.6% were Male Vegetable Farmers (MVF), while 55.4% were Female Vegetable Farmers (FVF). Mean age of MVF was 50.6 ± 10.2 years while that of MVF was 42.6 ± 9.5 years. Also, 63.3% of MVF had formal education compared to 55.8% of FVF. Majority of registered FVF (73.4%) and MVF (82.4%) got the information about fertiliser procurement at subsidised rate on their phone. However, only 42.0% of FVF procured fertilisers through lay down process of ewallet whereas, majority of the MVF (...

Research paper thumbnail of Elements of Rural Off-Farm Economy: Effects of Off-Farm Income on Productivity and Poverty Status of Rural Maize Farming Households in Kaduna State, Nigeria

Russian Journal of Agricultural and Socio-Economic Sciences, 2021

This study evaluated elements of rural off-farm economy: effects of off-farm income on productivi... more This study evaluated elements of rural off-farm economy: effects of off-farm income on productivity and poverty status of rural maize farming households in Kaduna State, Nigeria. This research study was designed specifically to achieve the following objectives: determine the socioeconomic characteristics of rural maize farmers, determine the poverty status of rural maize farmers, determine the elasticity of production and return to scale of rural maize production, examine the effect of off-farm income on productivity of rural maize farmers, examine the effect of off-farm income on food security of rural maize farmers, and determine the constraints facing rural maize farming households. The econometric and statistical tools used to achieve stated objectives were; descriptive statistics, Foster, Greer and Thorbecke (FGT) poverty model, elasticity of production, return to scale, Probit model analysis, and Stochastic

Research paper thumbnail of Determinants of Agricultural Loan Decision Making Process for Rice (Oryza Sativa) Farmers in Abuja, Nigeria. Applications of Heckman Two-Stage Model and Factor Analysis

Journal of Agribusiness and Rural Development, 2021

This study focuses on determinants of the agricultural loan decision-making process of rice (Oryz... more This study focuses on determinants of the agricultural loan decision-making process of rice (Oryza sativa) farmers in Abuja, Nigeria, using the Heckman two-stage model and factor analysis. This study was designed specifically to achieve the following objectives: determine the socio-economic profiles or characteristics of rice farmers, analyze the costs and returns of rice production, evaluate factors influencing rice farmers’ decision to obtain an agricultural loan, evaluate socio-economic factors influencing the amount of the agricultural loan, and determine the constraints or problems facing rice farmers. A multi-stage sampling design was employed. A total sample of one hundred (100) rice farmers was included, and primary data were utilized. Data were obtained through the use of a well-structured and well-designed questionnaire. Statistical and econometric tools used in analyzing data included descriptive statistics, gross margin analysis, financial analysis, the Heckman two-stage...

Research paper thumbnail of Profitability Analysis and Marketing Efficiency of Soyabean (Glycine max) Value Chain among Actors in Abuja, Nigeria

Sarhad Journal of Agriculture, 2020

This study analyzed profitability and marketing efficiency of soyabean (Glycine max) value chain ... more This study analyzed profitability and marketing efficiency of soyabean (Glycine max) value chain among actors in Abuja, Nigeria. This study was designed specifically to achieve the following objectives: describe the socioeconomic characteristics of soyabean marketers, determine the marketing cost, marketing margin, and marketing efficiency of soyabean, analyze the costs and returns of marketing soyabean, evaluate factors influencing or affecting marketing efficiency of soyabean, and identify problems or constraints influencing marketing of soyabean. Data obtained were collected from one hundred and fifty (150) randomly selected soyabeans marketers, using well-structured, well-designed questionnaire. Data obtained were coded, analyzed using descriptive statistics, gross margin analysis, financial analysis, marketing margin, marketing efficiency, Probit model analysis, five point Likert scale and principal component analysis. The results revealed that most (86.33%) of the soyabean marketers were between the ages of 31-60 years, about 83.33% of soyabean marketers had less than 5 years marketing experiences. Cost of transportation constitutes 47.56% of the total variable cost. Estimated costs and returns analysis gave the gross margin and gross income of N15,513,400 and N 16,249,000 per annum respectively. Estimated marketing margin and marketing efficiency were 20.13, and 338.66 respectively. Operating ratio (OR), rate of return on investment (RORI), and gross margin ratio (GMR) gave an observed values of 0.05, 19.74 and 0.95, respectively. The gross margin ratio (GMR) of 0.95 means that for every one (1) naira invested in marketing of soyabeans, 95 kobo covered taxes, expenses, profits, and depreciation. Factors statistically and significantly influencing market efficiency of soyabeans were: gender (P<0.05), marital status (P < 0.01), household size (P < 0.01), level of education (P<0.01), and contact with extension agent (P <0.05). Problems or constraints facing marketers of soyabeans were: sales price instability, high cost of transportation, storage problems, lack of credit facilities, and bad road infrastructures. The retained components observed explained 93.24% of the variations in the component retained in the principal component model. The study recommends that marketers should develop new marketing strategies that will increase their profit margin. The sales price instability as a result of poor marketing arrangement could be addressed if processing firms were linked to soyabeans marketers and there is the need for mobilization of soyabean marketers to form group marketing, this will enable them to undertake bulk purchases, and arrange for common transportation mechanism. This may reduce high cost of transportation of their stock from farm gate to the market.

Research paper thumbnail of Cassava Products Value Chain Analysis Among Actors’ Processors Under Traditional and Improved Technologies in Nasarawa State, Nigeria

Russian Journal of Agricultural and Socio-Economic Sciences, 2020

This study examined cassava products value chain analysis among actors" processors under traditio... more This study examined cassava products value chain analysis among actors" processors under traditional and improved technologies in Nasarawa State, Nigeria. Specifically, the study was designed to achieve the following objectives: determine the socioeconomic characteristics of cassava processors, analyze the costs and returns of actors processing cassava into chips and garri, determine the mean rating of traditional and improved technologies utilized by actors, evaluate factors influencing output of cassava processing into chips, and garri by actors, and determine the constraints or problems facing actors or processors in the activities of processing cassava into chips, and garri. The study employed multi-stage sampling design. Total 100 actors" processors engaging in cassava processing activities were sampled and utilized .Primary data were utilized using well-designed, structured questionnaire. The statistical and econometric tools employed were, descriptive statistics, gross margin model, financial analysis, net income analysis, five point Likert scale, Probit Model analysis, and principal component analysis (PCA).The results show that 92% of actors in cassava processing activities were between 21 to 50 years of age. The mean age of actors was 41 years. About 82% of actors had formal education. The mean household size was 9 people. Also, 47% of actors had less than 20 years experiences in cassava processing activities. The calculated net returns for garri enterprise were 42,000 Naira. The net returns for cassava chips enterprise were calculated to be 20,550 Naira. The gross margin ratios for garri and cassava chips were 0.57 and 0.49 respectively. This means that for every one (1) Naira invested in garri and cassava chips enterprises, 57 kobo and 49 kobo covered expenses, taxes, profits, and depreciation for garri and cassava chips enterprises respectively.

Research paper thumbnail of Economics of Smallscale Broiler Production in Abuja, Nigeria: Applications of Stochastic Frontier Model and Principal Component Analysis

Russian Journal of Agricultural and Socio-Economic Sciences, 2020

This study examined economics of smallscale broiler production in Abuja, Nigeria: applications of... more This study examined economics of smallscale broiler production in Abuja, Nigeria: applications of stochastic frontier model and principal component analysis The specific objectives were: identify the socioeconomic characteristics of smallscale broiler farmers, analyze the costs and returns of smallscale broiler production, evaluate factors influencing output of smallscale broiler production, determine the technical efficiency index of smallscale broiler farmers, evaluate factors influencing technical efficiency of smallscale broiler farmers, and identifying the constraints facing small-scale broiler production. A simple random sampling technique using ballot-box raffle draw method was used. Primary data were collected from smallscale broiler producers through the use of well-structured and welldesigned questionnaire. Data obtained were coded and analyzed using descriptive statistics, gross margin analysis, financial analysis, stochastic frontier model, and principal component analysis. The results show that 76.7% of small-scale broiler farmers were between 31-50 years of age. The mean age observed was 41.3 years. About 66.7% of the smallscale broiler farmers were male, and 43.3% of them were married. The gross margin of smallscale broiler farmers was N 165, 465. The gross margin ratio was 0.507.This means that for every one (1) naira invested in smallscale broiler production, 51 kobo covered profits, taxes, expenses, and depreciation. The rate of returns of the investment was estimated at 1.02 and the operating ratio was 0.9719. Feed input (P< 0.01), chemical input (P < 0.10), stocking capacity (P <0.01), drugs and antibiotics (P < 0.01) were factors influencing output of smallscale broilers sales. The inefficiency component shows that contact with extension agent (P <0.05), level of education (P< 0.05), and farm experience (P < 0.10) were statistically significant. The mean value for technical efficiency of the smallscale broiler farmers was 0.56, leaving a gap of 0.44 for improvement. The constraints facing smallsscale broiler farmers were: high cost of feed, difficulty in obtaining loan, problem of diseases outbreak, high cost of transportation, and non-remuneration prices of broilers. The retained components of the constraints facing smallscale broiler farmers explained 81.19% of the variations of the components included in the model. The study recommends that policies which will encourage smallscale broiler production be formulated and implemented. Also, measures should be put in place to address the challenges of high cost of feeds through proper agricultural subsidies.

Research paper thumbnail of Economics of Maize(Zea mays) Production in Igabi Local Government Area of Kaduna

Journal of Agricultural Faculty of Gaziosmanpasa University, 2018

Research paper thumbnail of Assessment of an electronic wallet system and determinants of cassava farmers’ participation in off-farm activities in Abuja, Nigeria

Journal of Agricultural Sciences, Belgrade, 2016

This study assessed an electronic wallet (e-wallet) system and determinants of cassava farmers? p... more This study assessed an electronic wallet (e-wallet) system and determinants of cassava farmers? participation in off-farm activities in Abuja, Nigeria. A sample of 67 cassava farmers was selected through a multi-stage sampling technique from six selected agricultural extension blocks. Primary data were used. Data were collected using a well-structured and well-designed questionnaire. The analytical tools used were descriptive statistics and maximum likelihood estimates using the logistic regression model. The results indicated that an electronic-wallet is an innovative, motivational mobile phone technology, the first in sub-Saharan Africa to distribute mobile phones to farmers which bring fertilizers, improved seeds, financial services, and agricultural information tips to farmers, and this increases yields and output. The electronic wallet system targeted 20 million farmers with an intention to distribute 10 million mobile phones to farmers in 4 years. In 2014, 1,000 agro-dealers a...

Research paper thumbnail of Analysis of Supply Function for Millet (Pennisetum glaucum) in Kaduna and Kano States of Nigeria

Asian Journal of Agricultural Extension, Economics & Sociology, 2014

This study analyzed supply function for millet in Kaduna and Kano States of Nigeria. Secondary da... more This study analyzed supply function for millet in Kaduna and Kano States of Nigeria. Secondary data used for the investigation were sourced from Kano Agricultural and Rural Development Authority; Kaduna Agricultural and Rural Development Authority; National Programme for Food Security (NPFS). Descriptive statistics, Nerlove adaptation hypothesis and grafted polynomials model were used for the analysis of data. The results showed that price of fertilizer lagged one year and cost of production were the significant factors influencing output supply of millet in Kaduna State at 5% and 1% probability levels respectively. The price of millet lagged one year and fertilizer cost lagged one year were the significant factors influencing output supply of millet in Kano State at 1% and 5% probability levels respectively. The grafted polynomials model used for forecasting output supply of millet in tonnes for Kaduna and Kano States showed an increase in output of

Research paper thumbnail of Access to Formal Credit Facilities Among Smallscale Crop Farmers’ in Gwagwalada Area Council, Abuja, Nigeria

Russian Journal of Agricultural and Socio-Economic Sciences, 2016

This study examined access to formal credit facilities among small scale crop farmers in Gwagwala... more This study examined access to formal credit facilities among small scale crop farmers in Gwagwalada Area Council, Abuja, Nigeria. The specific objectives of this research were to: identify the socioeconomic characteristics of sampled small scale crop farmers in the study area; examine sources and accessibility of credit to the sampled small scale crop farmers in the study area, evaluate factors influencing accessibility of credit among the sampled small scale crop farmers in the study area and identify problems encountered by farmers in accessing credit. Primary data were used for the study. Systemic random sampling technique was adopted; one hundred (100) respondents were selected. The data were collected and analysed using descriptive statistics and Logit Regression Model (LRM). The study showed that eighty seven (87) percent of the sampled small scale crop farmers were male. About eighty six (86) percent of the respondents had their age range from 30-60 years. Eighty three (83) percent of the respondents were married. Furthermore, eighty one (81) percent had formal education. The study further showed that thirty one; (31) percent of farmers obtained credit facilities from banks. The result of Logit regression model showed that farm size, membership of cooperative and household distance from source of credit had significant positive influence on access to formal agricultural credit among the respondents in the study area at P<0.05; P<0.01; and P<0.01 levels respectively. Delay in approval and disbursement of credit, lack of collateral security as well as too much bank procedures and requirements constituted the major constraints in accessing formal agricultural credit among the respondents in the sample area. The study recommends that credit should be disbursed to farmers with minimum delay; formal credit institutions should be widely spread and situated in places close to farmers. Also farmers should be encouraged by relevant government agencies to seek ways of increasing their farm size and rural farmers should be encouraged to join cooperative associations as this can increase their chances of accessing formal agricultural credit facilities.

Research paper thumbnail of Resource-Use Efficiency of Honey Production in Kachia Local Government Area, Kaduna-State, Nigeria

Journal of Agricultural Studies, 2015

This study examined resource-use efficiency of honey production in Kachia Local Government Area, ... more This study examined resource-use efficiency of honey production in Kachia Local Government Area, Kaduna, Nigeria. The primary data used for the investigation were obtained using structured questionnaires administered to 50 producers. The data were analysed using descriptive statistics, farm budget techniques, multiple regression analysis and resource-use efficiency. Multiple regression analysis used to examine factors influencing output of honey in the study area revealed that the coefficient of multiple determinations (R2) of 0.59 which implies that 59% of the dependent variable in the model was explained by the independent variables included in the model. Number of bee hives was significant at (p< 0.01).Estimated resource use efficiency revealed that number of bee hives and family labours were underutilized. This study concluded that the bee farmers in the study area should be given adequate training on rudiments of beekeeping.

Research paper thumbnail of An Assessment of Level of Computer Literacy and Phobia among Private Secondary School’s Principals in Kaduna North Local Government Area of Kaduna State, Nigeria

Journal of Biology Agriculture and Healthcare, 2015

This study assessed the level of computer literacy and phobia among private secondary schools' pr... more This study assessed the level of computer literacy and phobia among private secondary schools' principals in Kaduna North Local Government Area (LGA) of Kaduna State, Nigeria. Specifically, this study intends to achieve the following objectives:estimate the level of principals'; and vice-principals' computer literacy and phobia in private secondary schools in Kaduna North LGA; evaluate the level of availability of computer systems for usage in private secondary schools; determine the extent computer literacy and phobia influence principals' and vice-principals' computer utilization for effective school management in private secondary schools; and estimate the significant relationship between computer literacy, phobia, and principals' and viceprincipals' computer utilization in private secondary schools. Data were collected using questionnaire administered to ninety (90) respondents. The analytical tools used to achieve stated objectives include descriptive statistics; econometrics multiple regression analysis; and Pearson correlation analysis. The results revealed that the level of computer literacy of private secondary schools principals in handling computer, using E mail, using cyber-café is significantly higher than vice-principals. Sixteen (16) or 19% of total surveyed principals of private secondary schools had no computer qualification. Forty-four (44) or 51% of total surveyed private secondary had no internet facilities within the school systems. This implies that e-facilities, e-library, einformation, and e-communication are totally absent in those schools systems. Our results indicated the effectiveness of predictor variables (computer literacy and phobia) in influencing principals' and teaching personnel's computer use for record keeping and schools management with an F-ratio of 13.756 which was significant at 1% probability level, the Coefficient of Multiple Determinations (R 2) value of 0.516,and the adjusted R square value was 0.492.The Pearson correlation coefficient between computer utilization and level of computer literacy in private secondary schools was 0.209 which was significant at 0.10 level of probability indicating that there is an interrelationship between principals' and vice-principals' computer utilization and computer literacy for effective school management. Based on our findings, we recommend that private secondary schools should have a fully computerized center with internet facilities for e-library-information and e-communication system.

Research paper thumbnail of Industrial Demand Analysis for Millet in Kaduna and Kano States of Nigeria

Asian Journal of Agricultural Extension, Economics & Sociology, 2014

This study examined industrial demand analysis for millet in Kaduna and Kano States of Nigeria. T... more This study examined industrial demand analysis for millet in Kaduna and Kano States of Nigeria. The Primary data used for the investigation were obtained using structured questionnaires administered to 31 firms. Descriptive statistics; demand function and grafted polynomials model were used for the analysis of data. The results showed that price of millet, price of substitute maize, price of substitute sorghum and income derived were significant factors influencing quantities of millet demanded by industries at 1% probability level. The grafted polynomial model used for forecasting demand of millet in tonnes for Kaduna and Kano States showed an increase in industrial quantities demanded for a forecast period of 2006 to 2015. It is recommended that industrial demand of millet should be conducted for all States of the Federation, so that annual consumption can be estimated. Original Research Article Alabi et al.; AJAEES, Article no. AJAEES.2014.6.005 522

Research paper thumbnail of Adoption of information and communication technologies and dominant management orientation in organisations

Behaviour & Information Technology, 2012

The purpose of this research was to contribute to the efforts in the research of organisational f... more The purpose of this research was to contribute to the efforts in the research of organisational factors of information and communication technologies (ICT) adoption. We have studied dominant management orientation, researching whether there is a significant difference in the adoption of ICT between organisations where dominant management orientation is towards results and organisations where dominant management orientation is towards people.

Research paper thumbnail of Economic Market Decisions Among Marginal Maize Farmers in Abuja, Nigeria: Applications of Double Hurdle Model and Factor Analysis

Russian Journal of Agricultural and Socio-Economic Sciences, 2020

This study examined economic market decisions among marginal maize farmers in Abuja, Nigeria: app... more This study examined economic market decisions among marginal maize farmers in Abuja, Nigeria: applications of double hurdle model and factor analysis. Specifically, the objectives were designed and stated to achieve the following; describe the socioeconomic characteristics of marginal maize farmers, analyze the costs and returns of marginal maize production, determine the marginal productivities of maize farmers, estimate the factors influencing output of marginal maize production, evaluate factors influencing market decisions among marginal maize farmers, and identify the constraints facing marginal maize farmers. Multi-stage sampling technique was adopted and used. Primary data were collected from marginal maize producers through the use of well-structured and well-designed questionnaire. Data obtained were coded and analyzed using descriptive statistics, gross margin analysis, financial analysis, double-log functional model, marginal productivity, double-hurdle model, and principal component analysis. The results show that 60% of marginal maize farmers were less than 50 years of age. About 80% of farmers had less than 20 years experiences in maize farming. The mean farm size was 1.19 hectares of land. The gross margin and net farm income were 577,300 Naira and 525,300 Naira respectively. The gross margin ratio, operating ratio, and rate of return on investment were 0.82, 0.21, and 3.01 respectively. The gross margin ratio of 0.82 implies that for every one Naira invested in maize production by marginal farmers 82 kobo covered profits, taxes, interest, expenses, and depreciation. Marginal productivity analysis revealed that resources such as fertilizers, seeds, and land were under-utilized. Factors influencing output of maize production by marginal farmers were: farm size (< 0.01) , family labour (< 0.05), hired labour (< 0.05), fertilizers (< 0.01), seed input (< 0.05), and volume of pesticide used (< 0.10). The double-hurdle model revealed that age (< 0.01), prices output of maize (< 0.05), education status (< 0.10), distant to nearby market (< 0.05) , access to extension agents (< 0.01) and access to credit facilities (< 0.05) were statistically and significant variables influencing marginal maize farmers decisions to market participation. The retained constraints facing marginal maize farmers explained 96.46% of variables included in the model. Factors analysis shows that retained constraints facing marginal maize farmers were; bad road infrastructures, lack of access to credit facilities, inadequate extension officers, poor storage facilities, lack of production inputs, and lack of new, improved technologies.

Research paper thumbnail of Econometrics analysis of rural livelihoods and income inequality among yam (Discorea alata) farming households’ in Abuja, Nigeria

Istanbul University - DergiPark, Dec 30, 2020

This study analyzed econometrics of rural livelihoods and income inequality among yam (Discorea a... more This study analyzed econometrics of rural livelihoods and income inequality among yam (Discorea alata) farming households' in Abuja, Nigeria. Multistage sampling was adopted and employed. Primary data were collected through well-structured and well-designed questionnaire. Total sample sizes of 100 rural yam producers were selected. Data were coded, and analyzed using the following statistical and econometrics tools: descriptive statistics, gross margin analysis, financial analysis, Gini-coefficients, Multinomial Logit model, Probit model, Simpson index of income diversification, principal component analysis, and t-test analysis. The result shows that 73% of rural yam farmers were less than 51 years of age. The mean age was 45.8 years. The livelihood activities were farming, non-farming and off-farming activities. The Gini-coefficient of 0.7413 revealed severe income gap or high inequality in income among rural yam farmers. Factors influencing livelihood income diversification among rural yam farmers were gender(P < 0.01), age (P < 0.05), marital status (P < 0.10), household size (P < 0.10), level of education (P < 0.01), membership of cooperatives(P < 0.05), access to credit (P < 0.10), contact with extension agents (P < 0.05), income generating farm assets (P < 0.05), and farm income (P < 0.05). Principal component analysis used in analyzing constraints or problems facing rural yam producers show that six (6) constraints were retained for having Eigenvalue greater than one. The retained constraints were lack of credit facilities, inadequate extension agents, poor storage facilities, bad feeder roads, lack of farm inputs, and lack of market centers. The retained constraints explained 84.79% of components included in the model. The study recommends that credit facilities and farm inputs should be made available to rural yam farmers. Also, extension agents should be employed and appropriate storage facilities should be made available for rural yam farmers.

Research paper thumbnail of Efficiency of Resource-Use and Marginal Value Productivity Analysis Among Maize Farmers, Abuja, Nigeria

DergiPark (Istanbul University), Sep 1, 2022

The study examined efficiency of resource-use and marginal value productivity analysis among maiz... more The study examined efficiency of resource-use and marginal value productivity analysis among maize farmers, Abuja, Nigeria. Specifically, the objectives were to: determine the socioeconomic characteristics of maize farmers, analyze costs and returns of maize production, determine the marginal value productivity among maize farmers, evaluate resource-use efficiency of maize production, and determine the constraints faced by maize farmers in the study area, multi-stage sampling technique was used to select one hundred (100) maize farmers. Primary data were used. Data were collected through the use of well-designed and well-structured questionnaire. The analytical tools used were descriptive statistics, farm budgeting technique, financial analysis, Cobb-Douglas production function model, marginal value productivity index, resource-use efficiency index, and principal component analysis. The results show that 65% of maize farmers are less than 50 years of age. The mean age of maize farmers was 47 years. The maize farmers are energetic, active, resourceful in their youthful age. Maize farmers are smallholder, peasant, poor farmers with average of 4.75 hectares of farmland. Maize farmers had on the average of 8 people per household. Maize production is a profitable enterprise with gross margin and net farm income of 776,100 Naira and 758,700 Naira per hectare of farmland respectively. The gross margin ratio of 0.64 implies that for every naira invested in maize production by smallholder maize farmers, 64 kobo covered interest, profits, expenses, taxes and depreciation. Age (X_1), and fertilizer input 〖(X〗_4) are statistically significant factors influencing output of maize production at (P<0.01), while farm size 〖(X〗_2), labour input (X_3), seed input 〖(X〗_5) and chemical input 〖(X〗_6) are statistically significant factors influencing output of maize production at (P<0.05).The coefficient of multiple determinations (R^2) was 0.789. This implies that the explanatory variables included in the Cobb-Douglas production regression model explained 78.9% of variations in output of maize produced. The resource-use efficiency index [r], which is a ratio between marginal value productivity of resource input and marginal factor cost, the factor price shows that land input, seed input, fertilizer input, labour input and chemical input were underutilized. The retained constraints in the principal component analysis faced by maize farmers were lack of fertilizers, poor road infrastructures, lack of improved seeds, lack of credit facilities, lack of extension services and poor storage facilities. The study recommends adequate supply of farm inputs like improved seeds, fertilizers, chemicals such as insecticides and pesticides. Bureaucratic processes and cumbersome administrative procedures involved in accessing credit facilities should be removed, government should provide good roads linking maize producing areas and extension services should be employed who will organize workshops, seminars and training of maize farmers on research findings and efficient use of farm resources.

Research paper thumbnail of Socio-economic determinants of smallholder rice (Oryza sativa) farmer’s access to Loan facilities, Abuja, Nigeria

International Journal of Agriculture Environment and Food Sciences

This research study focused on socio-economic determinants of smallholder rice farmer’s access to... more This research study focused on socio-economic determinants of smallholder rice farmer’s access to loan facilities, Abuja, Nigeria. Multi-stage sampling technique was adopted to select 100 smallholder rice farmers. Primary sources of data were used. Data were collected from smallholder rice farmers with the help of well-designed and well-structured questionnaire. Statistical and econometric tools were used for data analysis. The results show that 82% of smallholder rice farmers were between 31 to 50 years of age. About 67% of smallholder rice farmers had access to loan facilities. Sources of loan obtained by smallholder rice farmers are formal (68.66%) and informal sources (31.34%). Averagely, smallholder farmers obtained 200, 754.72 Naira and 129,558.82 Naira from formal and informal sources respectively. Age (X1), farm size (X2), household size (X3), marital status (X5), access to extension services (X7) and membership of cooperative organizations (X8) were statistically and signif...

Research paper thumbnail of Technical Efficiency of Cowpea (Vigna unguiculata (L.)Walp) Production in Nasarawa State, Nigeria

European Journal of Agriculture and Food Sciences

This study evaluated technical efficiency of cowpea production in Nasarawa State, Nigeria. The sp... more This study evaluated technical efficiency of cowpea production in Nasarawa State, Nigeria. The specific objectives were to determine socio-economic characteristics of the cowpea farmers, estimate costs and returns of cowpea production, evaluate the technical efficiency of cowpea production, evaluate the determinants of technical efficiency of cowpea production, and identify the constraints militating against cowpea production in the study area. Multi-stage sampling technique was adopted and employed. Data for this study was collected from the primary sources through well-structured questionnaires. The results of the analysis show that majority (79%) of the sampled cowpea farmers were male, the average age of the sampled farmers was 45 years indicating that they are still active and agile operating at a small scale level of 2.14 ha farm size. The study further shows that cowpea production is a profitable agribusiness with 2.8% return on investment. Factors that are statistically sign...

Research paper thumbnail of Resource Use Efficiency and Profitability Analysis of Tomato Production (Lycopersicum Esculetum Species) in Federal Capital Territory, Nigeria

European Journal of Agriculture and Food Sciences

This study evaluated resource use efficiency and profitability analysis of tomato production in F... more This study evaluated resource use efficiency and profitability analysis of tomato production in Federal Capital Territory, Nigeria. The specific objectives were to: determine the socio-economic characteristics of tomato farmers; analyze the cost, returns and profitability of tomato production, evaluate factors influencing output of tomato production, estimate resource use efficiency of tomato production, and identify the constraints facing tomato farmers in the study area. Multi-stage sampling technique was used. Primary data were collected through the use of well-structured questionnaires administered to 100 sampled tomato farmers. Data were analyzed using the following tools of analysis; descriptive statistics, gross margin analysis, financial analysis, Cobb-Douglas production functional model and resource use efficiency index. The results show that 83% of sampled tomato farmers were male. About 54% of the sampled respondents were above 41years of age. Majority 79% of the sampled ...

Research paper thumbnail of Gender analysis of perceived effectiveness of electronics wallet in fertiliser distribution among vegetable farmers in Ekiti State Nigeria

This study was conducted to compare the effectiveness of e-wallet in fertiliser distribution on g... more This study was conducted to compare the effectiveness of e-wallet in fertiliser distribution on gender basis among vegetable farmers in Ekiti State, Nigeria. Four Local Government Areas (LGAs) were selected for the study because of the present of registered farmers. Three communities were randomly selected from each LGAs. In all, 120 registered vegetable farmers were selected using multistage sampling procedure. Descriptive and inferential statistics were used to analyze the data at p=0.05. Results show that 45.6% were Male Vegetable Farmers (MVF), while 55.4% were Female Vegetable Farmers (FVF). Mean age of MVF was 50.6 ± 10.2 years while that of MVF was 42.6 ± 9.5 years. Also, 63.3% of MVF had formal education compared to 55.8% of FVF. Majority of registered FVF (73.4%) and MVF (82.4%) got the information about fertiliser procurement at subsidised rate on their phone. However, only 42.0% of FVF procured fertilisers through lay down process of ewallet whereas, majority of the MVF (...

Research paper thumbnail of Elements of Rural Off-Farm Economy: Effects of Off-Farm Income on Productivity and Poverty Status of Rural Maize Farming Households in Kaduna State, Nigeria

Russian Journal of Agricultural and Socio-Economic Sciences, 2021

This study evaluated elements of rural off-farm economy: effects of off-farm income on productivi... more This study evaluated elements of rural off-farm economy: effects of off-farm income on productivity and poverty status of rural maize farming households in Kaduna State, Nigeria. This research study was designed specifically to achieve the following objectives: determine the socioeconomic characteristics of rural maize farmers, determine the poverty status of rural maize farmers, determine the elasticity of production and return to scale of rural maize production, examine the effect of off-farm income on productivity of rural maize farmers, examine the effect of off-farm income on food security of rural maize farmers, and determine the constraints facing rural maize farming households. The econometric and statistical tools used to achieve stated objectives were; descriptive statistics, Foster, Greer and Thorbecke (FGT) poverty model, elasticity of production, return to scale, Probit model analysis, and Stochastic

Research paper thumbnail of Determinants of Agricultural Loan Decision Making Process for Rice (Oryza Sativa) Farmers in Abuja, Nigeria. Applications of Heckman Two-Stage Model and Factor Analysis

Journal of Agribusiness and Rural Development, 2021

This study focuses on determinants of the agricultural loan decision-making process of rice (Oryz... more This study focuses on determinants of the agricultural loan decision-making process of rice (Oryza sativa) farmers in Abuja, Nigeria, using the Heckman two-stage model and factor analysis. This study was designed specifically to achieve the following objectives: determine the socio-economic profiles or characteristics of rice farmers, analyze the costs and returns of rice production, evaluate factors influencing rice farmers’ decision to obtain an agricultural loan, evaluate socio-economic factors influencing the amount of the agricultural loan, and determine the constraints or problems facing rice farmers. A multi-stage sampling design was employed. A total sample of one hundred (100) rice farmers was included, and primary data were utilized. Data were obtained through the use of a well-structured and well-designed questionnaire. Statistical and econometric tools used in analyzing data included descriptive statistics, gross margin analysis, financial analysis, the Heckman two-stage...

Research paper thumbnail of Profitability Analysis and Marketing Efficiency of Soyabean (Glycine max) Value Chain among Actors in Abuja, Nigeria

Sarhad Journal of Agriculture, 2020

This study analyzed profitability and marketing efficiency of soyabean (Glycine max) value chain ... more This study analyzed profitability and marketing efficiency of soyabean (Glycine max) value chain among actors in Abuja, Nigeria. This study was designed specifically to achieve the following objectives: describe the socioeconomic characteristics of soyabean marketers, determine the marketing cost, marketing margin, and marketing efficiency of soyabean, analyze the costs and returns of marketing soyabean, evaluate factors influencing or affecting marketing efficiency of soyabean, and identify problems or constraints influencing marketing of soyabean. Data obtained were collected from one hundred and fifty (150) randomly selected soyabeans marketers, using well-structured, well-designed questionnaire. Data obtained were coded, analyzed using descriptive statistics, gross margin analysis, financial analysis, marketing margin, marketing efficiency, Probit model analysis, five point Likert scale and principal component analysis. The results revealed that most (86.33%) of the soyabean marketers were between the ages of 31-60 years, about 83.33% of soyabean marketers had less than 5 years marketing experiences. Cost of transportation constitutes 47.56% of the total variable cost. Estimated costs and returns analysis gave the gross margin and gross income of N15,513,400 and N 16,249,000 per annum respectively. Estimated marketing margin and marketing efficiency were 20.13, and 338.66 respectively. Operating ratio (OR), rate of return on investment (RORI), and gross margin ratio (GMR) gave an observed values of 0.05, 19.74 and 0.95, respectively. The gross margin ratio (GMR) of 0.95 means that for every one (1) naira invested in marketing of soyabeans, 95 kobo covered taxes, expenses, profits, and depreciation. Factors statistically and significantly influencing market efficiency of soyabeans were: gender (P<0.05), marital status (P < 0.01), household size (P < 0.01), level of education (P<0.01), and contact with extension agent (P <0.05). Problems or constraints facing marketers of soyabeans were: sales price instability, high cost of transportation, storage problems, lack of credit facilities, and bad road infrastructures. The retained components observed explained 93.24% of the variations in the component retained in the principal component model. The study recommends that marketers should develop new marketing strategies that will increase their profit margin. The sales price instability as a result of poor marketing arrangement could be addressed if processing firms were linked to soyabeans marketers and there is the need for mobilization of soyabean marketers to form group marketing, this will enable them to undertake bulk purchases, and arrange for common transportation mechanism. This may reduce high cost of transportation of their stock from farm gate to the market.

Research paper thumbnail of Cassava Products Value Chain Analysis Among Actors’ Processors Under Traditional and Improved Technologies in Nasarawa State, Nigeria

Russian Journal of Agricultural and Socio-Economic Sciences, 2020

This study examined cassava products value chain analysis among actors" processors under traditio... more This study examined cassava products value chain analysis among actors" processors under traditional and improved technologies in Nasarawa State, Nigeria. Specifically, the study was designed to achieve the following objectives: determine the socioeconomic characteristics of cassava processors, analyze the costs and returns of actors processing cassava into chips and garri, determine the mean rating of traditional and improved technologies utilized by actors, evaluate factors influencing output of cassava processing into chips, and garri by actors, and determine the constraints or problems facing actors or processors in the activities of processing cassava into chips, and garri. The study employed multi-stage sampling design. Total 100 actors" processors engaging in cassava processing activities were sampled and utilized .Primary data were utilized using well-designed, structured questionnaire. The statistical and econometric tools employed were, descriptive statistics, gross margin model, financial analysis, net income analysis, five point Likert scale, Probit Model analysis, and principal component analysis (PCA).The results show that 92% of actors in cassava processing activities were between 21 to 50 years of age. The mean age of actors was 41 years. About 82% of actors had formal education. The mean household size was 9 people. Also, 47% of actors had less than 20 years experiences in cassava processing activities. The calculated net returns for garri enterprise were 42,000 Naira. The net returns for cassava chips enterprise were calculated to be 20,550 Naira. The gross margin ratios for garri and cassava chips were 0.57 and 0.49 respectively. This means that for every one (1) Naira invested in garri and cassava chips enterprises, 57 kobo and 49 kobo covered expenses, taxes, profits, and depreciation for garri and cassava chips enterprises respectively.

Research paper thumbnail of Economics of Smallscale Broiler Production in Abuja, Nigeria: Applications of Stochastic Frontier Model and Principal Component Analysis

Russian Journal of Agricultural and Socio-Economic Sciences, 2020

This study examined economics of smallscale broiler production in Abuja, Nigeria: applications of... more This study examined economics of smallscale broiler production in Abuja, Nigeria: applications of stochastic frontier model and principal component analysis The specific objectives were: identify the socioeconomic characteristics of smallscale broiler farmers, analyze the costs and returns of smallscale broiler production, evaluate factors influencing output of smallscale broiler production, determine the technical efficiency index of smallscale broiler farmers, evaluate factors influencing technical efficiency of smallscale broiler farmers, and identifying the constraints facing small-scale broiler production. A simple random sampling technique using ballot-box raffle draw method was used. Primary data were collected from smallscale broiler producers through the use of well-structured and welldesigned questionnaire. Data obtained were coded and analyzed using descriptive statistics, gross margin analysis, financial analysis, stochastic frontier model, and principal component analysis. The results show that 76.7% of small-scale broiler farmers were between 31-50 years of age. The mean age observed was 41.3 years. About 66.7% of the smallscale broiler farmers were male, and 43.3% of them were married. The gross margin of smallscale broiler farmers was N 165, 465. The gross margin ratio was 0.507.This means that for every one (1) naira invested in smallscale broiler production, 51 kobo covered profits, taxes, expenses, and depreciation. The rate of returns of the investment was estimated at 1.02 and the operating ratio was 0.9719. Feed input (P< 0.01), chemical input (P < 0.10), stocking capacity (P <0.01), drugs and antibiotics (P < 0.01) were factors influencing output of smallscale broilers sales. The inefficiency component shows that contact with extension agent (P <0.05), level of education (P< 0.05), and farm experience (P < 0.10) were statistically significant. The mean value for technical efficiency of the smallscale broiler farmers was 0.56, leaving a gap of 0.44 for improvement. The constraints facing smallsscale broiler farmers were: high cost of feed, difficulty in obtaining loan, problem of diseases outbreak, high cost of transportation, and non-remuneration prices of broilers. The retained components of the constraints facing smallscale broiler farmers explained 81.19% of the variations of the components included in the model. The study recommends that policies which will encourage smallscale broiler production be formulated and implemented. Also, measures should be put in place to address the challenges of high cost of feeds through proper agricultural subsidies.

Research paper thumbnail of Economics of Maize(Zea mays) Production in Igabi Local Government Area of Kaduna

Journal of Agricultural Faculty of Gaziosmanpasa University, 2018

Research paper thumbnail of Assessment of an electronic wallet system and determinants of cassava farmers’ participation in off-farm activities in Abuja, Nigeria

Journal of Agricultural Sciences, Belgrade, 2016

This study assessed an electronic wallet (e-wallet) system and determinants of cassava farmers? p... more This study assessed an electronic wallet (e-wallet) system and determinants of cassava farmers? participation in off-farm activities in Abuja, Nigeria. A sample of 67 cassava farmers was selected through a multi-stage sampling technique from six selected agricultural extension blocks. Primary data were used. Data were collected using a well-structured and well-designed questionnaire. The analytical tools used were descriptive statistics and maximum likelihood estimates using the logistic regression model. The results indicated that an electronic-wallet is an innovative, motivational mobile phone technology, the first in sub-Saharan Africa to distribute mobile phones to farmers which bring fertilizers, improved seeds, financial services, and agricultural information tips to farmers, and this increases yields and output. The electronic wallet system targeted 20 million farmers with an intention to distribute 10 million mobile phones to farmers in 4 years. In 2014, 1,000 agro-dealers a...

Research paper thumbnail of Analysis of Supply Function for Millet (Pennisetum glaucum) in Kaduna and Kano States of Nigeria

Asian Journal of Agricultural Extension, Economics & Sociology, 2014

This study analyzed supply function for millet in Kaduna and Kano States of Nigeria. Secondary da... more This study analyzed supply function for millet in Kaduna and Kano States of Nigeria. Secondary data used for the investigation were sourced from Kano Agricultural and Rural Development Authority; Kaduna Agricultural and Rural Development Authority; National Programme for Food Security (NPFS). Descriptive statistics, Nerlove adaptation hypothesis and grafted polynomials model were used for the analysis of data. The results showed that price of fertilizer lagged one year and cost of production were the significant factors influencing output supply of millet in Kaduna State at 5% and 1% probability levels respectively. The price of millet lagged one year and fertilizer cost lagged one year were the significant factors influencing output supply of millet in Kano State at 1% and 5% probability levels respectively. The grafted polynomials model used for forecasting output supply of millet in tonnes for Kaduna and Kano States showed an increase in output of

Research paper thumbnail of Access to Formal Credit Facilities Among Smallscale Crop Farmers’ in Gwagwalada Area Council, Abuja, Nigeria

Russian Journal of Agricultural and Socio-Economic Sciences, 2016

This study examined access to formal credit facilities among small scale crop farmers in Gwagwala... more This study examined access to formal credit facilities among small scale crop farmers in Gwagwalada Area Council, Abuja, Nigeria. The specific objectives of this research were to: identify the socioeconomic characteristics of sampled small scale crop farmers in the study area; examine sources and accessibility of credit to the sampled small scale crop farmers in the study area, evaluate factors influencing accessibility of credit among the sampled small scale crop farmers in the study area and identify problems encountered by farmers in accessing credit. Primary data were used for the study. Systemic random sampling technique was adopted; one hundred (100) respondents were selected. The data were collected and analysed using descriptive statistics and Logit Regression Model (LRM). The study showed that eighty seven (87) percent of the sampled small scale crop farmers were male. About eighty six (86) percent of the respondents had their age range from 30-60 years. Eighty three (83) percent of the respondents were married. Furthermore, eighty one (81) percent had formal education. The study further showed that thirty one; (31) percent of farmers obtained credit facilities from banks. The result of Logit regression model showed that farm size, membership of cooperative and household distance from source of credit had significant positive influence on access to formal agricultural credit among the respondents in the study area at P<0.05; P<0.01; and P<0.01 levels respectively. Delay in approval and disbursement of credit, lack of collateral security as well as too much bank procedures and requirements constituted the major constraints in accessing formal agricultural credit among the respondents in the sample area. The study recommends that credit should be disbursed to farmers with minimum delay; formal credit institutions should be widely spread and situated in places close to farmers. Also farmers should be encouraged by relevant government agencies to seek ways of increasing their farm size and rural farmers should be encouraged to join cooperative associations as this can increase their chances of accessing formal agricultural credit facilities.

Research paper thumbnail of Resource-Use Efficiency of Honey Production in Kachia Local Government Area, Kaduna-State, Nigeria

Journal of Agricultural Studies, 2015

This study examined resource-use efficiency of honey production in Kachia Local Government Area, ... more This study examined resource-use efficiency of honey production in Kachia Local Government Area, Kaduna, Nigeria. The primary data used for the investigation were obtained using structured questionnaires administered to 50 producers. The data were analysed using descriptive statistics, farm budget techniques, multiple regression analysis and resource-use efficiency. Multiple regression analysis used to examine factors influencing output of honey in the study area revealed that the coefficient of multiple determinations (R2) of 0.59 which implies that 59% of the dependent variable in the model was explained by the independent variables included in the model. Number of bee hives was significant at (p< 0.01).Estimated resource use efficiency revealed that number of bee hives and family labours were underutilized. This study concluded that the bee farmers in the study area should be given adequate training on rudiments of beekeeping.

Research paper thumbnail of An Assessment of Level of Computer Literacy and Phobia among Private Secondary School’s Principals in Kaduna North Local Government Area of Kaduna State, Nigeria

Journal of Biology Agriculture and Healthcare, 2015

This study assessed the level of computer literacy and phobia among private secondary schools' pr... more This study assessed the level of computer literacy and phobia among private secondary schools' principals in Kaduna North Local Government Area (LGA) of Kaduna State, Nigeria. Specifically, this study intends to achieve the following objectives:estimate the level of principals'; and vice-principals' computer literacy and phobia in private secondary schools in Kaduna North LGA; evaluate the level of availability of computer systems for usage in private secondary schools; determine the extent computer literacy and phobia influence principals' and vice-principals' computer utilization for effective school management in private secondary schools; and estimate the significant relationship between computer literacy, phobia, and principals' and viceprincipals' computer utilization in private secondary schools. Data were collected using questionnaire administered to ninety (90) respondents. The analytical tools used to achieve stated objectives include descriptive statistics; econometrics multiple regression analysis; and Pearson correlation analysis. The results revealed that the level of computer literacy of private secondary schools principals in handling computer, using E mail, using cyber-café is significantly higher than vice-principals. Sixteen (16) or 19% of total surveyed principals of private secondary schools had no computer qualification. Forty-four (44) or 51% of total surveyed private secondary had no internet facilities within the school systems. This implies that e-facilities, e-library, einformation, and e-communication are totally absent in those schools systems. Our results indicated the effectiveness of predictor variables (computer literacy and phobia) in influencing principals' and teaching personnel's computer use for record keeping and schools management with an F-ratio of 13.756 which was significant at 1% probability level, the Coefficient of Multiple Determinations (R 2) value of 0.516,and the adjusted R square value was 0.492.The Pearson correlation coefficient between computer utilization and level of computer literacy in private secondary schools was 0.209 which was significant at 0.10 level of probability indicating that there is an interrelationship between principals' and vice-principals' computer utilization and computer literacy for effective school management. Based on our findings, we recommend that private secondary schools should have a fully computerized center with internet facilities for e-library-information and e-communication system.

Research paper thumbnail of Industrial Demand Analysis for Millet in Kaduna and Kano States of Nigeria

Asian Journal of Agricultural Extension, Economics & Sociology, 2014

This study examined industrial demand analysis for millet in Kaduna and Kano States of Nigeria. T... more This study examined industrial demand analysis for millet in Kaduna and Kano States of Nigeria. The Primary data used for the investigation were obtained using structured questionnaires administered to 31 firms. Descriptive statistics; demand function and grafted polynomials model were used for the analysis of data. The results showed that price of millet, price of substitute maize, price of substitute sorghum and income derived were significant factors influencing quantities of millet demanded by industries at 1% probability level. The grafted polynomial model used for forecasting demand of millet in tonnes for Kaduna and Kano States showed an increase in industrial quantities demanded for a forecast period of 2006 to 2015. It is recommended that industrial demand of millet should be conducted for all States of the Federation, so that annual consumption can be estimated. Original Research Article Alabi et al.; AJAEES, Article no. AJAEES.2014.6.005 522

Research paper thumbnail of Adoption of information and communication technologies and dominant management orientation in organisations

Behaviour & Information Technology, 2012

The purpose of this research was to contribute to the efforts in the research of organisational f... more The purpose of this research was to contribute to the efforts in the research of organisational factors of information and communication technologies (ICT) adoption. We have studied dominant management orientation, researching whether there is a significant difference in the adoption of ICT between organisations where dominant management orientation is towards results and organisations where dominant management orientation is towards people.

Research paper thumbnail of Economic Market Decisions Among Marginal Maize Farmers in Abuja, Nigeria: Applications of Double Hurdle Model and Factor Analysis

Russian Journal of Agricultural and Socio-Economic Sciences, 2020

This study examined economic market decisions among marginal maize farmers in Abuja, Nigeria: app... more This study examined economic market decisions among marginal maize farmers in Abuja, Nigeria: applications of double hurdle model and factor analysis. Specifically, the objectives were designed and stated to achieve the following; describe the socioeconomic characteristics of marginal maize farmers, analyze the costs and returns of marginal maize production, determine the marginal productivities of maize farmers, estimate the factors influencing output of marginal maize production, evaluate factors influencing market decisions among marginal maize farmers, and identify the constraints facing marginal maize farmers. Multi-stage sampling technique was adopted and used. Primary data were collected from marginal maize producers through the use of well-structured and well-designed questionnaire. Data obtained were coded and analyzed using descriptive statistics, gross margin analysis, financial analysis, double-log functional model, marginal productivity, double-hurdle model, and principal component analysis. The results show that 60% of marginal maize farmers were less than 50 years of age. About 80% of farmers had less than 20 years experiences in maize farming. The mean farm size was 1.19 hectares of land. The gross margin and net farm income were 577,300 Naira and 525,300 Naira respectively. The gross margin ratio, operating ratio, and rate of return on investment were 0.82, 0.21, and 3.01 respectively. The gross margin ratio of 0.82 implies that for every one Naira invested in maize production by marginal farmers 82 kobo covered profits, taxes, interest, expenses, and depreciation. Marginal productivity analysis revealed that resources such as fertilizers, seeds, and land were under-utilized. Factors influencing output of maize production by marginal farmers were: farm size (< 0.01) , family labour (< 0.05), hired labour (< 0.05), fertilizers (< 0.01), seed input (< 0.05), and volume of pesticide used (< 0.10). The double-hurdle model revealed that age (< 0.01), prices output of maize (< 0.05), education status (< 0.10), distant to nearby market (< 0.05) , access to extension agents (< 0.01) and access to credit facilities (< 0.05) were statistically and significant variables influencing marginal maize farmers decisions to market participation. The retained constraints facing marginal maize farmers explained 96.46% of variables included in the model. Factors analysis shows that retained constraints facing marginal maize farmers were; bad road infrastructures, lack of access to credit facilities, inadequate extension officers, poor storage facilities, lack of production inputs, and lack of new, improved technologies.

Research paper thumbnail of Econometrics analysis of rural livelihoods and income inequality among yam (Discorea alata) farming households’ in Abuja, Nigeria

Istanbul University - DergiPark, Dec 30, 2020

This study analyzed econometrics of rural livelihoods and income inequality among yam (Discorea a... more This study analyzed econometrics of rural livelihoods and income inequality among yam (Discorea alata) farming households' in Abuja, Nigeria. Multistage sampling was adopted and employed. Primary data were collected through well-structured and well-designed questionnaire. Total sample sizes of 100 rural yam producers were selected. Data were coded, and analyzed using the following statistical and econometrics tools: descriptive statistics, gross margin analysis, financial analysis, Gini-coefficients, Multinomial Logit model, Probit model, Simpson index of income diversification, principal component analysis, and t-test analysis. The result shows that 73% of rural yam farmers were less than 51 years of age. The mean age was 45.8 years. The livelihood activities were farming, non-farming and off-farming activities. The Gini-coefficient of 0.7413 revealed severe income gap or high inequality in income among rural yam farmers. Factors influencing livelihood income diversification among rural yam farmers were gender(P < 0.01), age (P < 0.05), marital status (P < 0.10), household size (P < 0.10), level of education (P < 0.01), membership of cooperatives(P < 0.05), access to credit (P < 0.10), contact with extension agents (P < 0.05), income generating farm assets (P < 0.05), and farm income (P < 0.05). Principal component analysis used in analyzing constraints or problems facing rural yam producers show that six (6) constraints were retained for having Eigenvalue greater than one. The retained constraints were lack of credit facilities, inadequate extension agents, poor storage facilities, bad feeder roads, lack of farm inputs, and lack of market centers. The retained constraints explained 84.79% of components included in the model. The study recommends that credit facilities and farm inputs should be made available to rural yam farmers. Also, extension agents should be employed and appropriate storage facilities should be made available for rural yam farmers.