scholarly journals Forecasting the Future Farm Size in Grasscutter Production in Osun State, Nigeria: A Markov Chain Approach

2019 ◽  
pp. 1-10
Author(s):  
M. S. Olatidoye ◽  
A. D. Kehinde ◽  
T. Alimi
Keyword(s):  
Markov Chain ◽  
Management Practices ◽  
Sampling Technique ◽  
Farm Size ◽  
Primary Data ◽  
Small Scale ◽  
Flock Size ◽  
Gross Margin ◽  
The Future ◽  
The Mean

Aim: The study investigated the prospects of increasing Grasscutter production and projecting the future farm size of its production in the study area. Specifically described socio-economi characteristics and some management practices of the respondents, assessed and predicted the pattern of change and the equilibrium farm size of the Grasscutter enterprise in the study area, examined the costs and returns to grasscutter production and examined the relationships between gross margin and some selected socio-economic characteristics. Study Design: A simple random sampling technique was employed in selecting 60% of the total population of registered grasscutter farmers. Place and Duration of Study: The study was carried out in Osun State, Nigeria between years 2016 and 2017. Methodology: Primary data were collected through a well-structured questionnaire administration from the three agricultural zones in the State. Twenty four Grasscutter farmers each were randomly selected from each of the agricultural zones. Data were collected on demographics of grasscutter farmers, production activities in terms of inputs, outputs and their respective prices for the years 2016 and 2017. Data were analyzed through Descriptive statistics, Markov chain, Gross margin and Pearson r test of correlation. Results: The study revealed that male respondents (85%) dominated Grasscutter production in the study area while the mean age of respondents was 43 years. Majority (97%) of the respondents had formal education with an average grassutter farming experience of 11 years while the mean flock size was 2.5 colonies. The gross margin results showed that grasscutter production had a profit margin of ₦11,333.33/respondent/month. The mean grasscutter farm size revealed an upward trend in farm size until the year 2025 and thereafter stabilizes at about 3.3 colonies of grasscutter farm size.  The correlation analysis showed significant relationship between gross margin and level of education and farming experience with r-values of 0.817 and 0.697 respectively.  Conclusion: Grasscutter production, though in small scale, is profitable in the study area and the grasscutter farmers in the study area have great potential to boost local production

scholarly journals Economics and Technical Efficiency of Maize Production Among Small Scale Farmers in Abuja, Nigeria: Stochastic Frontier Model Approach

2020 ◽  
Vol 2 (6) ◽  
Author(s):  
E. S. Ebukiba ◽  
L. Anthony ◽  
S. M. Adamu
Keyword(s):  
Stochastic Frontier ◽  
Farm Size ◽  
Small Scale ◽  
Stochastic Frontier Model ◽  
Gross Margin ◽  
Maize Production ◽  
Factors Influencing ◽  
The Mean ◽  
Small Scale Farmers ◽  
Model Approach

This study evaluated Economics and Technical Efficiency of Maize Production Among Small Scale Farmers in Abuja, Nigeria; Stochastic Frontier Model Approach; Multi-stage sampling technique was adopted and used. Primary data were collected through the use of well-structured questionnaire from one hundred and fifty (150) sampled respondents in the study area. Data were analyzed to achieve the specified objectives using the following tools of analysis, Descriptive Statistics, Stochastic Frontier, Gross Margin Analysis, Financial Analysis, Five Point Likert Scale, and Principal Components Analysis. The results show that majority 40.47% of the sampled respondents were among the age range of 41-50 years of age and 25.33% were within the age bracket of 31-40 years of age. The mean age of the sampled farmers is 44 years. Which indicated that Young and energetic farmers are able to withstand stress and adopt new innovations. Most 88.67% of the farmers were male. Majority 72.67% were married. The mean household size of the sampled respondents is 6 members per family. Majority (67%) of the small-scale maize farmers had 1-2 ha of land and the average farm size cultivated by the farmers was 2.576 ha. The factors influencing total output of maize were seed input (P<0.01), Farm Size (P<0.05), quantity of fertilizer (P<0.05), and labour input (P<0.01) were statistically significant variables. The results of the inefficiency components show that the factors influencing technical inefficiency includes: age (P<0.01), education (P<0.01), access to credit (P<0.05), farming experience, and household size (P<0.05) and were statistically significant. The total revenue realized by the sampled small-scale maize farmers was N238,317 on average. While the total variable costs on average basis was N109,702.93. The gross margin realized was N128667.07. The gross margin ratio was 0.54 while operating ratio calculated was 0.857 and the rate of return on investment (RORI) was 1.17. The retained component from the constraint’s analysis include Lack of Improve Seed, Lack of Transportation, Poor Storage Facilities, Inadequate Capital, and Cattle Herdsmen. The retained components explained 60% of the variation of the component included in the model. The study therefore, recommends that affordable loans and adequate capital should be made available to the small-scale maize farmers, farmers should be properly trained and educated by the non-governmental organizations and extension agents on chemical application, fertilizer use and pests and diseases control measures especially on integrated pest management (IPM). Inputs like improve seeds, fertilizer, and chemicals should be made available to farmers at subsidized rates and at appropriate time coinciding with production periods for proper usage. Provisions should be made for transportation and storage facilities for farmers, the issue of conflict between farmers and herdsmen should be brought to book and resolved amicably for peaceful coexistence.

scholarly journals Performance Analysis of Small Scale Sweet Potato Farms in Oyo State, Nigeria

2016 ◽  
Vol 49 (1-4) ◽  
pp. 38-44
Author(s):  
Olayinka Isiaka Baruwa
Keyword(s):  
Sweet Potato ◽  
Stochastic Frontier ◽  
Sampling Technique ◽  
Potato Production ◽  
Farm Size ◽  
Small Scale ◽  
Full Time ◽  
Stochastic Production Frontier ◽  
Gross Margin ◽  
Frontier Analysis

AbstractThis study carried out an analysis of the performance of sweet potato production among small holder farmers in Oyo State of Nigeria. A combination of purposive and a two-stage random sampling technique were used to obtain information from 65 respondents. Data collected were analyzed using descriptive statistics, stochastic frontier functions and budgetary technique. Results indicated that majority of the farmers were literate, aged 43.3 years on the average, full time in sweet potato production and with mean farm size of 1.0 hectare. The gross margin and net profit were ₦76, 884.8 and ₦67,292.8, respectively (₦, naira Nigerian Currency, ₦160 = 1$US) indicating that sweet potato production was profitable. The return to scale (RTS) for the production function revealed that farmers operated in the irrational zone (stage I) of the production surface. The stochastic production frontier analysis revealed that the technical efficiencies of farmers was found to be fairly high with a mean of 0.92% which suggest that the average sweet potato output falls 0.08% short of the maximum possible level but the efficiency can be increased by better use of available resources.

Profitability of Small-Scale Tomato (Lycopersicon esculentum) Production in Some Selected Areas in Bangladesh

2016 ◽  
Vol 14 (1) ◽  
pp. 73-82
Author(s):  
Mst. Samshunnahar ◽  
Romaza Khanum ◽  
M Serajul Islam
Keyword(s):  
Lycopersicon Esculentum ◽  
Returns To Scale ◽  
Sampling Technique ◽  
Farm Size ◽  
Primary Data ◽  
Small Scale ◽  
Cost Ratio ◽  
Tomato Production ◽  
Benefit Cost Ratio ◽  
Human Labour

A study was conducted to analyze the profitability, contribution of factors in yield and socioeconomic status of small-scale tomato (Lycopersicon esculentum) producing farmers in some selected areas in Bangladesh. The study was based on primary data, collected from 60 farmers, selected using a multi-stage random sampling technique. The main factors of production like, seeds, human labour, tillage, fertilizer, irrigation and insecticides were considered to estimate the impacts on tomato production. Data were analyzed statistically and economically and results were mostly presented in tabular form. Amongst 3 farm size groups, small tomato farmers earned highest profit, followed by medium farmers. Gross returns per acre of small, medium and large farms were Tk. 104180, 95000 and 82600 and their corresponding net returns were Tk. 46978, 45356 and 5354, respectively. Moreover, the undiscounted benefit cost ratio of was the highest for medium farmers (1.91), followed by small farmers (1.82), while it was the lowest for large farmers (1.74). The coefficient of determinations (R2) was about 0.694, which indicates that about 69 percent of variations of tomato production are explained by the independent variables. The result showed that human labour followed by tillage of the variables was significantly positive, which implies that various independent inputs uses had effective contribution to increase tomato production. It was therefore, observed that a considerable improvement took place to increase household income of the studied farmers and to improve the economic conditions with the introduction of small-scale commercial tomato production. The elasticity of different inputs was 0.744 which exhibited the decreasing returns to scale and farmers allocated their resources in the rational stage of production (stage-II). However, lack of quality seed was one of the major constraints in cultivation of tobacco. Effective policy and efficient extension services have therefore, to be ensured to increase income and employment opportunities of the tomato drowers.The Agriculturists 2016; 14(1) 73-82

scholarly journals Awareness and Constraints of Aquaculture Biosecurity Among Fish Farmers in Ekiti State, Nigeria

2021 ◽  
Vol 21 (2) ◽  
pp. 83-92
Author(s):  
Siyanbola A. Omitoyin ◽  
Kemisola D. Osakuade
Keyword(s):  
Sampling Technique ◽  
Juvenile Stage ◽  
Descriptive Statistics ◽  
Farm Size ◽  
Primary Data ◽  
Small Scale ◽  
Extension Agents ◽  
Fish Diseases ◽  
Multi Stage ◽  
Scale Of Operation

The study investigated the level of awareness and constraints the farmers were facing in adopting effective biosecurity measures in Ekiti State. Primary data were collected using multi-stage sampling technique to randomly select 150 fish growers, out of which 144 questionnaires were recovered. Analysis was carried out using descriptive statistics, four-point Likert scale and multiple regression. The result showed that 76.4% of the fish farmers with mean age of 40.48±10.28years were married, 61.1% owned the land on which they farm their fish, 73.6% operated as small scale fish farmers with farm size of <1 hectare. About 91.0% knew about fish diseases, the main source of pollution on the farm was flooding while some (61.1%) experienced outbreak of fish diseases at juvenile stage. High cost of facilities, lack of financial assistance, poor knowledge on biosecurity, expensive laboratory charges and inadequate monitoring by extension agents was perceived as the major constraints. The farmers need financial help to get adequate facilities and to enlarge their scale of operation. Adequate extension services to enlighten them on the effective biosecurity measures should be adopted.

scholarly journals Marketing of poultry eggs in Ondo West Local Government Area of Ondo State, Nigeria

2021 ◽  
Vol 47 (6) ◽  
pp. 39-45
Author(s):  
I. Ibidapo ◽  
M. H. Ogunsipe ◽  
P. T. Owombo
Keyword(s):  
Regression Analysis ◽  
Local Government ◽  
Sampling Technique ◽  
Local Government Area ◽  
Least Square ◽  
Primary Data ◽  
Gross Margin ◽  
Poultry Eggs ◽  
Ondo State ◽  
The Mean

The study investigated the marketing of poultry-eggs in Ondo-West local government area of Ondo State, Nigeria. The multi-stage sampling technique was employed in the selection of one hundred and twenty-five (125) poultry-egg marketers for the study. Primary data collected with the aid of structured questionnaire were analysed using descriptive statistics, gross margin analysis and ordinary least square regression analysis. Result showed the mean age of respondents as 44.2±9.7 years, 63.2% were female and 36.8% were male and 72.0% were married. The mean household size was 7±3 members and 58.4% had secondary education. Price fluctuation constitutes a major challenge in poultry-egg marketing. The gross margin was N 48611.37. The regression analysis revealed that stock size (number of creates), cost price, transportation cost and labour cost were the significant variables influencing the gross margin in poultry-egg marketing in the study area. Marketing of poultry-egg has improved the average household means of livelihoods and generate income. Hence, poultry-egg marketing should be encouraged in terms of access to credit, information and provision of storage facilities.   L'étude portait sur la commercialisation des œufs de volaille dans la zone de gouvernement local de l'Ouest de l'Ondo dans l'État d'Ondo, au Nigéria. La technique d'échantillonnage en plusieurs étapes a été utilisée pour sélectionner cent vingt-cinq (125) commerçants d'œufs de volaille pour l'étude. Les données primaires collectées à l'aide d'un questionnaire structuré ont été analysées à l'aide de statistiques descriptives, d'une analyse de la marge brute et d'une analyse de régression des moindres carrés ordinaires. Les résultats ont montré que l'âge moyen des répondants était de 44,2 ± 9,7 ans, 63,2% étaient des femmes et 36,8% étaient des hommes et 72,0% étaient mariés. La taille moyenne des ménages était de 7 ± 3 membres et 58,4% avaient une éducation secondaire. La fluctuation des prix constitue un défi majeur dans la commercialisation des œufs de volaille. La marge brute était de N48611.37. L'analyse de régression a révélé que la taille du stock (nombre de caisses, prix, coût de transport et coût de la main-d'œuvre étaient les variables importantes influençant la marge brute de commercialisation des œufs de volaille dans la zone d'étude. La Commercialisation des œufs de volaille a amélioré les moyens de subsistance moyens des ménages et constitue un moyen de générer des revenus. Par conséquent, la commercialisation des œufs de volaille doit être encouragée en termes d'accès au crédit, d'information et de fourniture d'installations de stockage.

scholarly journals Factors Determining the Credit Accessibility by the Small-Scale Entrepreneurs: A Case of Handloom Weaving in Bangladesh

2020 ◽  
Vol 15 (8) ◽  
pp. 93
Author(s):  
Mst Tania Parvin ◽  
Kanij Fatema ◽  
Sadika Haque
Keyword(s):  
Financial Services ◽  
Work Experience ◽  
Sampling Technique ◽  
Farm Size ◽  
Primary Data ◽  
Small Scale ◽  
Microfinance Institutions ◽  
Institutional Perspective ◽  
Credit Access ◽  
Access To Credit

This study examines the determinants of access to credit by the handloom weavers in Bangladesh. Using the multistage sampling technique, the primary data for the analysis were collected from 311 randomly selected handloom weavers from Sirajganj district of Bangladesh during July to December 2015. The data are analyzed by using the Logit model. The model identifies several individual, household, community, and institution-specific factors as the significant determinants of credit access. Among them, family size, farm size, work experience, saving and the flexibility in the terms and conditions of loan use increase the probability of credit access by the handloom weavers whereas the risk aversion attitude and the distance between the Microfinance Institutions (MFIs) from the commune reduce such possibility. Therefore, this study suggests that respondents should utilize the joint effort of the available family members in this labor-intensive business while undertaking rational decisions enhanced through the skills and capabilities acquired over the years. They should maintain a sufficient amount of saving to prove them eligible in repaying their credit. From the institutional perspective, it is suggested that the MFIs should provide adequate financial and non-financial services to its clientele as per their needs. Borrowers&rsquo; easy accessibility to the institutions should also be ensured. In doing so, they should open up more branches in the villages so that the door to door services are available to the borrowers. It is expected that these recommendations will help in improving the credit access by the handloom weavers in Bangladesh.

Level of Adoption of Good Management Practices by Dairy Farmers in Haryana

2021 ◽  
Vol 37 (1) ◽  
pp. 8-20
Author(s):  
Manju Loura ◽  
Suman Ghalawat ◽  
Joginder Singh Malik ◽  
K.K. Kundu ◽  
K.K. Yadav ◽  
...  
Keyword(s):  
Management Practices ◽  
Animal Health ◽  
Dairy Farm ◽  
Mean Value ◽  
Primary Data ◽  
Small Scale ◽  
High Morbidity ◽  
Dairy Farmers ◽  
Direct Benefits ◽  
The Mean

India contributes the largest to the world milk production. The main objective of the study is to investigate the different technologies adopted by dairy farmers in Haryana. Primary data was collected from 200 dairy farmers from different places in Haryana state. The study was conducted in Haryana study revealed that among all the good dairy practices animal health practices was followed by majority of the dairy farmers and the corresponding mean value was 1.75 and the rank was 1st, followed by management practices (corresponding mean value 2.02 and rank 2nd), hygiene milking practices (corresponding mean value 2.12 and rank 3rd), animal wellbeing (corresponding mean value 2.23 and rank 4th), nutrition (corresponding mean value 2.56 and rank 5th), and environment practices with corresponding mean value 2.57, were least preferred or we may say least adopted by dairy farmers hence environment practices was given rank 6th.Poor animal health is one of the principal constraints to increasing small-scale dairy productivity, as it results in high morbidity and low production. Overcoming this constraint could significantly improve productivity and results in real and direct benefits for producers. The IBM SPSS22 software was used to calculate the mean score of the statements based on Likert 5-point scale.This study gives us an idea about how we start a dairy farm and what management practices should be adopted.

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

Role of Finance in Resource use Efficiency and Constraints in Banana Cultivation in Uttar Pradesh

2020 ◽  
pp. 437-441
Keyword(s):  
Resource Use ◽  
Uttar Pradesh ◽  
Sampling Technique ◽  
Farm Size ◽  
Primary Data ◽  
Resource Use Efficiency ◽  
Regular Source ◽  
Block Level ◽  
Use Efficiency ◽  
Secondary Information

The study was conducted using purposive cum random sampling technique and two hundred respondents comprised of 100 each borrowers and non-borrowers were selected from two block of district including marginal, small and medium categories of farm size. Primary data were collected through personal interview technique and required secondary information was taken from the record available at district and block level. Simple tabular and functional analysis and Garrett ranking were done to draw inferences. As per the result obtained from the study, no much difference was seen between the resource use efficiency of borrower and non-borrower farms and constraints faced by borrower. Since banana is a cash crop and it needs initial costs for its establishment, and after harvesting the crop regular source of income was generated by selling of suckers (seed) plant and its fruits. It’s by-product, leaves, etc. also used for various purposes. Minute inspection of the analysis showed that finance played important role for initiating the cultivation of banana crops showed the resource use efficiency that there is no considerable difference found on sample farms of borrower and non-borrower categories. Constraints faced by majority of the farmers were mainly delay in disbursement of loan and lack of the repayment period insufficient and improper management for withdraws on KCC.

COMPARATIVE ALLOCATIVE EFFICIENCY AND PROFITABILITY OF DIFFERENT SCALES OF POULTRY-EGG PRODUCTION IN JOS METROPOLIS, PLATEAU STATE, NIGERIA

2021 ◽  
Vol 4 (4) ◽  
pp. 259-273
Author(s):  
Solomon T. Folorunso ◽  
T. Omosebi ◽  
D. A. Agbonika
Keyword(s):  
Egg Production ◽  
Large Scale ◽  
Allocative Efficiency ◽  
Sampling Technique ◽  
Primary Data ◽  
Small Scale ◽  
Stochastic Production Frontier ◽  
Stochastic Production ◽  
Plateau State ◽  
The Government

The study compared the allocative efficiency and profitability of poultry-egg farmers in Jos metropolis of Plateau State, Nigeria, across different scales. To select 143 respondents, a two-stage sampling technique was used.   Using well-structured questionnaire and interview schedules, primary data on socioeconomic variables were collected. Collected data were analyzed using budgetary technique and stochastic production frontier model. Result of allocative efficiency showed the following: The mean allocative efficiency of the small, medium and large scales was 0.68, 0.12 and 0.11 respectively; the minimum allocative efficiency for small, medium and large scales was 0.30, 0.10 and 0.10 respectively. The maximum allocative efficiency was 0.59, 0.18 and 0.11 respectively for small, medium and large scale farmers. The profitability result indicated that egg production for small, medium and large-scale farms was profitable in the study area with N675, 671.79, N4, 897,236.09 and N16, 327,633.66 per farmer. The rate of return on investment per bird was found to be 19.51%, 31.21% and 83.13% respectively for small, medium and large farm sizes. For small, medium and large-scale farmers respectively, the capital turnover per bird was N 1.20, N1.31 and N1.83. Also, the profitability indices for the small, medium and large scales are N0.16, N0.24 and N0.45. The study recommends that; Farmers should be advised to increase production from small scale to large scale through policies that will promote such, special intervention is needed from the government at all levels through farmers’ cooperatives in the area of inputs subsidy, price efficiency of the farmers could

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