scholarly journals AN ANALYSIS OF YIELDS OF KOLA-NUT PRODUCTION, PROCESSING AND MARKETING IN SAGAMU LGA, OGUN STATE, NIGERIA

2017 ◽  
Vol 11 (1) ◽  
pp. 90-105
Author(s):  
E. O. A. OLUWALANA ◽  
L. O. OKOJIE ◽  
F. O ASHAOLU ◽  
V. O. OLANIRAN
Keyword(s):  
Descriptive Analysis ◽  
Sampling Technique ◽  
Farm Size ◽  
Farm Income ◽  
Net Income ◽  
Gross Margin ◽  
Ogun State ◽  
Unit Increase ◽  
Nut Production ◽  
Selection Of

This study on Kola nut production in Ogun State was aimed at describing the socio-economic characteristics of the farmers, net farm income, marketing channels and factors influencing output of kola nut for its impact on food security. Multistage sampling technique was used in the study; the first stage involves the purposive selection of Sagamu Local Government as largest Kola nut farming with 4 communities; namely; Agbowa; Sagamu; Igodo, and Odelemo. The second stage involves simple random selection of 100 kola nut farmers, 25 per community. A structured questionnaire was administered subject to descriptive analysis, multiple regressions, and budgetary analysis. The results revealed that male 82% and female 18% were involved in kola nut production, processing and marketing. Average household size of 6 members with a minimum of 25 years farming experiences. The study revealed that 51% of the farmers sold directly to wholesalers, 37% sold to processors, and 12% sold to retailers. Also, 83%, of the producers and marketers were married 16% were widowed and only 1% divorced. Average age was 58years and average farm size of 2.71 hectares. Average farm net income was ₦208,680.40 per annum with the total revenue of ₦291,149 and a gross margin of ₦237,789.50 per annum. The average total cost incurred was calculated as ₦82,468.40 being cost of labour, transportation and items such as cutlass, hoes and files. Regression analysis used to determine the factors affecting the output of kola nut showed that farm size, age of kola nut plantation and the age of farmers were significant at 10%, 5% and 1% respectively using double log equation and the model was significant at 1%. The age of farmers (x1) was negatively significant which implies that as farmers reach old age, this may serve as hindrance due to physical inability to undertake vigorous farm activities hence reduction in output occurs by 13.3%. Farming experience (x2) was negatively correlated with output of kolanut indicating that a unit increase in experience of kolanut farmers will decrease output by 12.3%. Farm size was found to positively significant which implies that a unit increase in farm size will increase output by 83.1%.The result revealed that kola nut business is a profitable venture and male dominated. The women could be encouraged to invest in the business to increase their income and livelihood. 

scholarly journals Factors Influencing Economic Viability of Small and Marginal Farms in Rayalaseema Region of Andhra Pradesh, India

2021 ◽  
pp. 48-57
Author(s):  
M. Ramakrishna ◽  
I. Bhavani Devi ◽  
S. Rajeswari ◽  
P. V. Satyagopal ◽  
G. Mohan Naidu
Keyword(s):  
Andhra Pradesh ◽  
Sampling Technique ◽  
Farm Size ◽  
Farm Income ◽  
Net Income ◽  
Economic Surplus ◽  
Factors Influencing ◽  
Live Stock ◽  
Multistage Sampling ◽  
Selection Of

This study was conducted to estimate the factors influencing the viability of small and marginal farms in Rayalaseema region of Andhra Pradesh. Multistage sampling technique was employed for selection of samples at different levels (districts, mandals and villages) in the present study. A sample of 120 farmers was selected from two districts, six mandals and six villages. The farmers were categorized according to their land holding size into marginal (<1 ha) and small (1-2 ha) category. On the basis of economic surplus left, the sample farmers were grouped as viable and nonviable farmers. The farmers having positive economic surplus are viable farmers and the farmers with negative economic surplus are non-viable farmers. Out of 120 sample farmer’s only 37 farmers were viable and 83 remained non-viable. It is found that net income from live stock and dairy and net income from crops were the major significant discriminating factors that discriminate viable and non-viable farmers. Other significant factors were off farm income, farm size and family expenditure.

Assessment of profitability and risk management in vegetable production in Ogun State, Nigeria

2021 ◽  
Vol 1 (2) ◽  
pp. 029-035
Author(s):  
Akinbola Adeyose Emmanuel
Keyword(s):  
Risk Management ◽  
Fertilizer Application ◽  
Sampling Procedure ◽  
Study Data ◽  
Least Square ◽  
Farm Size ◽  
Farm Income ◽  
Vegetable Production ◽  
Gross Margin ◽  
Ogun State

The study examined the performance and risk management of vegetable production in Ogun State, Nigeria. A multistage sampling procedure was used to select 120 respondents for the study. Data were collected through a well-structured questionnaire and personal interview schedule. Descriptive statistics and inferential statistics such as Ordinary Least Square (OLS) were used for the analysis of this study. The results found out that lack of discriminating pricing system, conflict in policy making, and high cost of inputs affect the market prices and as well serve as the main production risks that were observed by the farmers in the area. The average cost incurred for the production was about ₦6,908, while the total revenue accrued was ₦41,751. The gross margin and net farm income realized per production season were ₦36,973 and ₦34,843, respectively. The value (6.0) of return on investment showed that farmers realized times six of their investment. The variables such as household size, farm size, fertilizer application and equipment were the main determinants of vegetable production in the area. Also, the main challenges faced by the farmers were the infestation of pests and diseases, inadequate funds and climate change consequences. Therefore, it is recommended that the vegetable farmers should be encouraged through technical training on innovative approach to price determination and forming of functioning market structure in the area.

scholarly journals PROFITABILITY ANALYSIS AND DETERMINANTS OF GROUNDNUT (Arachis hypogea) PRODUCTION IN DAMBATTA LOCAL GOVERNMENT AREA OF KANO STATE, NIGERIA

2020 ◽  
Vol 1 (1) ◽  
pp. 31-39
Author(s):  
C. G. Onuwa ◽  
S. S. Mailumo ◽  
S. Y. Muhammed
Keyword(s):  
Local Government ◽  
Sampling Technique ◽  
Local Government Area ◽  
Farm Size ◽  
Farm Income ◽  
Cost Ratio ◽  
Gross Margin ◽  
Benefit Cost Ratio ◽  
Arachis Hypogea ◽  
Profitability Analysis

This study analyzed the profitability and determinants of groundnut production in Dambatta Local Government Area of Kano state. Multi-stage sampling technique was used in collecting data from eighty (80) respondents in the study area. The data generated were analyzed using descriptive statistics, farm budgeting model and regression analysis. The results revealed that the gross margin and net farm income of the farmers were N71400/ha and N59400/ha respectively. Also, the fixed and operating ratios were estimated at 0.1 and 0.41 respectively, while the benefit- cost ratio was N1.98. The coefficient of multiple determination (R2) was 0.739, implying that about 74% of the variation in the output of groundnut was accounted for by the explanatory variable inputs in the regression model. The regression coefficients of Farm size(X1) and Credit(X6) were positive and statistically significant at (p< 0.01), labour (X2) and Agrochemical(X5) were also positive and statistically significant at (p< 0.1), while Fertilizer(X4) was also positive and statistically significant at (p<0.05). The major constraints associated with groundnut production in the study area include; inadequate capital (86%), high cost of production inputs (83%) and lack of access to agricultural credit (78%). The study recommended that if these constraints are adequately tackled the productivity and profitability of the groundnut farmers will significantly improve. Onuwa, C. G. | Department of Agricultural Extension and Management, Federal College of Forestry, Jos, Plateau state, Nigeria

scholarly journals Analysis of Cassava Farmers’ Revenue Who were Innovation Participants in Ogun State, Nigeria: 2016-2018

2021 ◽  
pp. 126-131
Author(s):  
R. O. Sanusi ◽  
B. O. Ajibola ◽  
E. I. Isegbe ◽  
R. M. Adebayo ◽  
M. B. Abubakar ◽  
...  
Keyword(s):  
Formal Education ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Farm Size ◽  
Steady Increase ◽  
Test Results ◽  
Ogun State ◽  
Net Revenue ◽  
The Government ◽  
Selection Of

The net revenue from an activity is obtained by subtracting the cash expenses incurred in production from the gross revenue. Gross revenue is the sum of all receipts from the sale of a crop. This study was carried out in Ogun State, Nigeria (latitude 7o 00ꞋN and longitude 3o 35ꞋE) to analyse the revenue of cassava farmers who were involved in improved practices. The simple Random Sampling technique was adopted in the selection of 336 farmers from the study area. Data were analysed using frequency counts, percentages, budgetary technique as well as Chow test. Results showed that there was a steady increase in the revenue until it reached the peak. Thereafter, it fell below the zero lines into the negative. Also, all (100.0%) of the participants had formal education and belonged to a farmers’ association. The average farm size was 1.64 hectares. The study, therefore, recommends regulation of cassava price so that it will not fall below a certain fixed point. It also recommends the government purchase of excess cassava output directly from farmers in order to avoid a market glut. Finally, value addition should be promoted to boost income derivable from cassava sales.

Profitability analysis and technical efficiency of Sasakawa global 2000 maize technology in Lere Agricultural Zone, Kaduna state, Nigeria

2020 ◽  
Vol 18 (1) ◽  
pp. 20-30
Author(s):  
A.M. Durba ◽  
A. Adewumi ◽  
U. Musa
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Sampling Technique ◽  
Efficiency Score ◽  
Farm Size ◽  
Farm Income ◽  
Gross Margin ◽  
Access To Credit ◽  
Profitability Analysis ◽  
The Mean

The study determined the profitability and technical efficiency of Sasakawa Global (SG-2000) maize technology in Lere Agricultural Zone, Kaduna State, Nigeria. A total of 146 respondents were selected through a multi-stage sampling technique. Data were collected through structured questionnaire administered to the sampled respondents and complemented with interview schedule. Analysis of the data collected was done using descriptive statistics, farm budgeting technique and stochastic frontier function. Results showed that the mean age of SG-2000 adopters was 45years old, 73% of them were males and 81% were married. The mean farming experience of the adopters was 15 years, household size of 8 persons and farm size of 2.26ha respectively. Also, majority of the farmers were members of farmers’ cooperative society and had access to extension services. The farm budgeting technique revealed maize production was profitable in the area with gross margin and net farm income of ₦99,407.76/ha and ₦96,700.80/ha respectively. The maize farmers were not technically efficient with a mean efficiency score of 0.8181. The farm size at p<0.10, seed at p<0.01, fertilizer at p<0.01, capital input at p<0.01 probability levels respectively were efficiency factors, while the sex of farmer at p<0.10, marital status at p<0.10, farming experience at p<0.05 and access to credit at p<0.01 probability levels respectively were the inefficiency factors. It is recommended that other farmers in the study area should adopt the SG-2000 maize technology to improve their level of profitability and technical efficiency. Keywords: Profitability, Technical efficiency, SG-2000 maize technology, Farmers and Kaduna State

An Economic Analysis of Tomato Production in South Gujarat

2020 ◽  
pp. 161-164
Keyword(s):  
Crop Insurance ◽  
Sampling Technique ◽  
Economic Viability ◽  
Production Economics ◽  
Net Income ◽  
Insurance Scheme ◽  
Tomato Production ◽  
Input Ratio ◽  
Selection Of ◽  
High Output

ABSTRACT The study was conducted in South Gujarat for examining the production economics of tomato in the study area. Multistage random sampling technique was employed for the selection of 120 tomato farmers from Kaparada, Mandvi and Vyara talukas of Valsad, Surat and Tapi district, respectively. The net income of 1.57 lakh/ha showed the economic viability of the crop in the study area with a high output-input ratio of 3.25. It was suggested that the timely supply of credit and crop insurance scheme could further encourage growers for tomato production.

scholarly journals DETERMINANTS OF AGRICULTURAL LOAN DECISION MAKING PROCESS FOR RICE (ORYZA SATIVA) FARMERS IN ABUJA, NIGERIA. APPLICATIONS OF HECKMAN TWO-STAGE MODEL AND FACTOR ANALYSIS

2021 ◽  
Vol 59 (1) ◽  
Author(s):  
Olugbenga Omotayo Alabi ◽  
Ayoola Olugbenga Oladele ◽  
Mohammed Bello Usman
Keyword(s):  
Rice Production ◽  
Farm Size ◽  
Farm Income ◽  
Decision Making Process ◽  
Stage Model ◽  
Gross Margin ◽  
Two Stage ◽  
Rice Farmers ◽  
Factors Influencing ◽  
Socio Economic Factors

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 model, and principal component analysis. The results show that 63% of rice farmers were between the age of 31–50 years. The mean age was 41.90 years. About 65% of rice farmers were male, and 54% of them were married. Also, 93% of rice farmers had formal education and were literate. The household sizes were large, with an average of six persons per household. An average of 71,550 nairas was the loan amount granted to rice farmers by financial institutions. The average farm size amounted to 1.49 hectares. Factors influencing the decision of rice farmers to obtain agricultural loan included age (P < 0.01), marital status (P < 0.05), household size (P < 0.10), educational level (P < 0.05), farm size (P < 0.05), farm and non-farm income (P < 0.10), farm experience (P < 0.05), collateral property (P < 0.05), extension services (P < 0.10), and awareness of loan or credit facilities (P < 0.05). Rice production was profitable with a net farm income of 744,300 nairas. The gross margin ratio of 0.95 means that 95 kobos covered profits, taxes, expenses, interest, and depreciation for every naira invested in rice production activities. Socio-economic factors statistically and significantly influencing the amount of agricultural loan obtained by rice farmers included (P < 0.05) sex (P < 0.01), household size (P < 0.05) and educational level (P < 0.01). The constraints facing rice farmers in obtaining the agricultural loan and production activities included lack of collateral property, lack of fertilizer input, poor-quality feeder roads, lack of credit facilities, inadequate labor input, and complicated and costly administrative procedures to obtain a loan. It is recommended that agricultural loans be made available to rice farmers in sufficient amounts and at low-interest rates. Also, farm inputs, fertilizer inputs, improved seeds, and chemicals should be made available to rice farmers

scholarly journals Socio-economic characteristics of registered cocoa farmers in Edo State, Nigeria

2016 ◽  
Vol 20 (2) ◽  
pp. 261-266
Author(s):  
C.O. Osarenren ◽  
J.O. Ejuetueyin ◽  
K.I. Eweka
Keyword(s):  
Large Scale ◽  
Formal Education ◽  
Sampling Technique ◽  
Primary Data ◽  
Farm Income ◽  
Cost Ratio ◽  
Gross Margin ◽  
Cocoa Production ◽  
Edo State ◽  
Cocoa Farmers

This study examined the socio-economic characteristics of registered cocoa farmers in Edo State; Nigeria. Primary data was collected using a well structured questionnaire administered to 180 registered cocoa farmers selected using a multi-stage sampling technique. Data were analyzed using descriptive statistics and budgetary technique. Results showed that 88.9% of cocoa farmers were male with a mean range of 46 years with 75% being married and 88.8% having formal education. The budgetary technique was used to determine the profitability of cocoa production, which was found to be profitable in the study area at a gross margin of N66, 350, Net Farm Income of N59, 200, and net return on investment of N 1.11.The Benefit Cost Ratio and Expense Structure Ratio of 2.11 and 0.12 respectively indicated that cocoa production was economically profitable and viable since the BCR is greater than 1 and the Gross Ratio (GR) of cocoa production is 0.47. From these profitability ratios, it shows that cocoa production is a profitable business in the study area. Inadequate finance to operate on large scale was found to be the major constraint to the cocoa farmers in the study area. The study concludes that cocoa production is profitable and was recommended that production could be improved and sustained through provision of soft loans to the farmers.Keywords: socio-economics, characteristics, registered cocoa farmers

scholarly journals Tribal womens involvement with pig farming in Bangladesh: an evidence of Moulvibazar district

2018 ◽  
Vol 16 (1) ◽  
pp. 115-127
Author(s):  
R Khanum ◽  
MSA Mahadi ◽  
MS Islam
Keyword(s):  
Low Income ◽  
Farm Size ◽  
Primary Data ◽  
Farm Income ◽  
Cost Ratio ◽  
Gross Margin ◽  
Factors Affecting ◽  
Model Average ◽  
Pig Farming ◽  
Benefit Cost

The study examined the profitability and factors affecting farm income from pig farming in Moulvibazar district of Bangladesh. A multistage sampling technique was followed to select 70tribal women entrepreneurs involved with pig farming. Primary data were collected through structured questionnaire and analyzed using descriptive statistics, independent sample t-test, benefit-cost analysis, and linear regression model. Average age of pig entrepreneurs was 39.47 years which indicates that they are young and agile. About 71% of Garo entrepreneurs had experience for pig farming. The cost and return analysis showed that in one year, the gross margin was Tk. 56743.70, while the benefit-cost ratio (BCR) was 1.19 indicating that the enterprise is profitable. Regression analysis revealed that three variables namely farm size, age of the respondent and experience of pig farming are significant factors affecting farm income. Thus, it was recommended that tribal women should be encouraged to practice pig farming to overcome their low income and unemployment situation.SAARC J. Agri., 16(1): 115-127 (2018)

scholarly journals Risks and determinants of risk management strategies among rural cassava-based farmers in Imo State

2020 ◽  
Vol 17 (2) ◽  
pp. 100-115
Author(s):  
C.E. Ahaneku ◽  
S.U.O. Onyeagocha ◽  
C.C. Eze ◽  
N.M. Chidiebere-Mark ◽  
G.O. Ellah ◽  
...  
Keyword(s):  
Risk Management ◽  
Management Strategies ◽  
Sampling Technique ◽  
Farm Size ◽  
Farm Income ◽  
Imo State ◽  
Resistant Species ◽  
Risk Management Strategies ◽  
Multistage Sampling ◽  
Logit Regression Model

Cassava-based farmers are faced with a lot of risks and uncertainties and this results to low agricultural output and hinders the rural farmers from  pursuing their farming activities as an enterprise. The study assessed the risks and determinants of risk management strategies among rural cassava-based farmers in Imo State. A multistage sampling technique was used in the selection of respondents. Data were collected with the use of structured questionnaire administered to 180 respondents. Multinomial logit regression model was used to determine the factors influencing the choice of risk management strategies among rural cassava-based farmers in the study area. Results of the study showed that the farmers were of middle-age, fairly educated and have average farm size of one hectare. Majority of the farmers identified loss of crop due to disease (76.11%) and loss due to erosion (73.89%) as sources of risk farmers were exposed to. Also greater number of the respondents adopted practicing of mixed  cropping and planting of disease resistant species as risk management strategies. The result of the study also confirmed that age, gender, educational level and farm income were the major determinants of the farmers’ choice of risk management strategies. It was recommended that  government should make extension services functional and provide policies that will help boost the socio-economic welfare of farmers as this will significantly propel an increase in the choice effective risk management strategies in the area. Keywords: Risk management, risk management strategies, cassava based farmers.

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