scholarly journals Economic Appraisal of Small and Medium Scale Poultry Egg Production in Ife and Ilesha Metropolis, Osun State, Nigeria.

2015 ◽  
Vol 3 (7) ◽  
pp. 562
Author(s):  
Busari Ahmed Olugbenga ◽  
Okanlawon Islamiat Nike
Keyword(s):  
Economic Performance ◽  
Egg Production ◽  
Structured Interview ◽  
Least Square ◽  
Farm Size ◽  
Small Scale ◽  
Cluster Sampling ◽  
Total Production ◽  
Gross Margin ◽  
Medium Scale

The study appraised the economic performance of small and medium scale poultry egg production in Ife and Ilesha metropolis, Osun State Nigeria. A purposive sampling was used to select one hundred and twenty poultry egg farmers, cluster sampling was used to select areas where small and medium scale were concentrated in the study area then sixty (60) small scale and sixty (60) medium scale were randomly selected to form the population of the study. Data were collected through structured interview schedule. Descriptive statistics such as means and percentages were employed for budgetary analysis and economic performance. The ordinary least square was used to determine the significant variables influencing the gross margin of poultry egg farmers at different levels of scale of production. The study shows that the gross margin of small farms was ₦575.65 while the gross margin of medium farms was ₦43672.62. The total production cost of small and medium farms were ₦1480.25 and ₦29654.43 respectively. The results further reveal that costs of feed constituted the largest share of the total costs for the two categories of farm size. The amount spent on drug and feed were the only significant determining factors of revenue accruable to both categories of poultry egg farmers. Although, poultry egg production was profitable in the study area, the level of profit depended on the scale of operation.

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 Dynamic impacts of farm-level technology adoption on the Brazilian dairy supply chain

2020 ◽  
Vol 23 (1) ◽  
pp. 71-84 ◽  
Author(s):  
Andre Rozemberg Peixoto Simões ◽  
Charles Frederick Nicholson ◽  
Andrew M. Novakovic ◽  
Roberto Max Protil
Keyword(s):  
Technology Adoption ◽  
Causal Structure ◽  
Farm Size ◽  
Small Scale ◽  
Total Production ◽  
Potential Market ◽  
Farm Profitability ◽  
Supply Relationship ◽  
Short And Long Term ◽  
On Farm

Agricultural technology adoption that increases individual firm productivity is generally assumed to improve competitiveness and profitability. However, technology that is adopted by many firms in an industry can shift the basic supply relationship, increasing total production while lowering farm prices. While generally beneficial to consumers, this result can reduce (or completely offset) benefits for farmers, especially late or non-adopters. Our objective is to assess the market dynamics of alternative assumptions about exogenous productivity-enhancing technology adoption by Brazilian dairy farms. Of particular interest is the distributional impact on farm incomes and on the proportion of milk production for different farm size classes. To achieve this objective, we developed an empirical System Dynamics model that evaluates market and farm profitability impacts from 2006 to 2016. We simulated six counterfactual scenarios comprising three rates of adoption (slow, medium and fast) by two farm size categories (small and large). Technology adoption impact differs in the short- and long-term and depending on the assumed rates and farm sizes. Non-adopters of technology can experience lower incomes and a smaller production and income shares when other farms adopt. The underlying causal structure of farm profitability and the herd management decisions suffices to explain the potential market exclusion of non-adopting farms (especially small-scale farms) when others adopt.

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 Choice of Information and Communication Technology Tools in Tomato Marketing Among Smallholder Farmers in Kirinyaga County, Kenya

2021 ◽  
Vol 25 (3) ◽  
pp. 81-92
Author(s):  
Kevin Orangi Mauti ◽  
Samuel Njiri Ndirangu ◽  
Samuel Chege Mwangi
Keyword(s):  
Information And Communication Technology ◽  
Communication Technology ◽  
Smallholder Farmers ◽  
Structured Interview ◽  
Farm Size ◽  
Small Scale ◽  
Tomato Production ◽  
Factors Affecting ◽  
Information And Communication ◽  
Ict Tools

This study examined the factors influencing the choice of information and communication technology (ICT) tools used in tomato marketing by smallholder farmers in Kirinyaga County, Kenya. Households were selected through a combination of purposive, two-stage stratified and probability proportionate to size sampling techniques. The study employed Semi-structured interview schedules to collect data from the sampled small-scale tomato farmers. Factors affecting the choice of ICT tools in tomato marketing were identified using multivariate model. The study revealed that age, income, level of education, farmers’ experience, and farm size, tomato production, willingness to pay for ICT tools, tomato prices and knowledge on ICT are predictors of choice of ICT use. ICT should be given in such a way that all farmers can get information as per their need. Policy makers and agricultural extension agents should create awareness on the use and importance of ICT tools for farmers to accept and use available ICT tools.

Factors Affecting Marketing of Vegetables among Small-Scale Farmers in West Bengal: An Analysis

2021 ◽  
Vol 66 (3) ◽  
Author(s):  
Lapasam Raplang
Keyword(s):  
Regression Analysis ◽  
West Bengal ◽  
Analysis Data ◽  
Structured Interview ◽  
Farm Size ◽  
Small Scale ◽  
Vegetable Crops ◽  
Factors Affecting ◽  
Positive Correlations ◽  
Small Scale Farmers

This study was conducted to identify and analyse factors affecting marketing of vegetables among small-scale farmers in West Bengal. Data collected with structured questionnaire and analyzed using descriptive and regression analysis. Data collected from 80 vegetable growers selected from Cooch Behar using structured interview schedule and analyzed through econometric techniques. Regression analysis showed that the factors like price, production, farm size, extension contact, competition, transportation, etc. determine the arrival of vegetable crops in the market. Correlation analysis among the variables from demand-side showed that population growth, per capita income and production level had positive correlations with market arrival (demand) of vegetable crops. The study recommended higher investment, favourable government policy, quality of produce, post-harvest facilities, etc. for improving overall marketing efficiency.

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.

scholarly journals Comparative analysis of indigenous and non-indigenous household dietary diversity status: the case of bambasi, benishangul gumuz regional state, western Ethiopia

2020 ◽  
Vol 8 (2) ◽  
pp. 85-95
Author(s):  
Anduamlak Assaye ◽  
Chanyalew Seyoum ◽  
Eric Ndemo
Keyword(s):  
Dietary Diversity ◽  
Structured Interview ◽  
Farm Size ◽  
Farm Income ◽  
Small Scale ◽  
Food Groups ◽  
Cross Sectional ◽  
Household Heads ◽  
Household Dietary Diversity ◽  
Western Ethiopia

Low dietary diversity in the rural household is a major problem in developing countries due to different factors. The aim of this study is to assess dietary diversity level and its associated factors among indigenous and nonindigenous households in Bambasi district, Western Ethiopia. A cross sectional data which covered a sample of 260 households collected using a semi structured interview schedule. A multi stage sampling procedure was used. A household dietary diversity score based on 12 food groups was created using seven days recalls. A descriptive statistics analysis was applied. An order logistic regression model was used to determine the factors that influence both indigenous and nonindigenous household dietary diversity. The result of the study revealed that indigenous household had better dietary diversity status than nonindigenous household heads. Age of the household heads, access to extension and access to nearest markets are the major determinants of rural households in the area. Despite of this, access to credit, farm income, farm size and dependency ratio are the major determinants for nonindigenous household heads whereas participation in small scale irrigation and education are major factors of dietary diversity of the indigenous household heads. Therefore, we recommended that food and nutrition interventions focusing on improving dietary diversity and quality should due attention to develop community specific interventions instead of generalized interventions. However, further investigation focused on seasonal dietary diversity and individual level dietary diversity of the study area

scholarly journals Assessment of dry season garden egg production among small-scale farmers in Edu Local Government Area of Kwara State, Nigeria

2017 ◽  
Vol 62 (1) ◽  
pp. 89-103
Author(s):  
Olubunmi Omotesho ◽  
Abdulazeez Muhammad-Lawal ◽  
Khadijat Amolegbe ◽  
Tauheed Abubakar
Keyword(s):  
Local Government ◽  
Egg Production ◽  
Research Work ◽  
Dry Season ◽  
Local Government Area ◽  
Farm Size ◽  
Farm Income ◽  
Small Scale ◽  
Ols Regression ◽  
Small Scale Farmers

The study was carried out for the purpose of assessing dry season garden egg production among small-scale farmers in Edu Local Government Area of Kwara State. The study adopted a snowballing sampling technique to sample 120 small-scale garden egg farmers. Five research questions were formulated to achieve the objectives of this research work. Descriptive statistics, cost and return analysis and OLS regression were used to analyze data collected. Cost and return analysis shows that the total revenue generated from the sales of irrigated garden egg produce for a typical farmer was N 36,596.5k while the total fixed cost (depreciated) and variable input cost amounted to 1,279.22K to give a net farm income (NFI) of N 24,582.68k. The OLS regression results revealed that the coefficients of farm size and household size were positive and significant at the 1% and 10% levels of probability respectively. This implies that an increase in farm size by 1 ha will increase the production of dry season garden egg by 1 percent. While the results of stochastic production frontier estimate show that the parameters of labour, fertilizer and farm size were highly significant, chemical use was significant at 10% level. This result implies that the farmers were technically efficient in the use of labour, fertilizer, chemical and farm size. Therefore, it is recommended that farmers should be encouraged to form cooperative societies, whereby they can join their resources together to provide a cost-effective irrigation system. Also, government authorities and other non-governmental organizations are encouraged to give farmers fertilizers and other chemicals at subsidized rates. There is a need for revitalization of the marketing board in Nigeria to further strengthen the marketing of agricultural produce and reduce marketing, storage and transportation problems.

scholarly journals Fertilizer use among cocoa farmers in Ghana: the case of Sefwi Wiawso District

2014 ◽  
Vol 3 (1) ◽  
pp. 22-31 ◽  
Author(s):  
Isaac Nunoo ◽  
Benedicta Nsiah Frimpong ◽  
Frederick Kwabena Frimpong
Keyword(s):  
Adult Literacy ◽  
Least Square ◽  
Farm Size ◽  
Primary Data ◽  
Small Scale ◽  
Western Region ◽  
Fertilizer Use ◽  
Access To Credit ◽  
The Western Region ◽  
Cocoa Farmers

This study analyses factors that influence fertilizer use among cocoa farmers in the Sefwi Wiawso District in the Western Region, Ghana. Primary data were obtained from 200 cocoa farmers in the district. Descriptive statistics and ordinary least square regression analysis were used to analyse data collected. The results revealed that majority of the cocoa farmers were males and are getting old. Also farm size and price of fertilizer were significant factors affecting fertilizer use among cocoa farmers in the Sefwi Wiawso District in the Western Region. Moreover 74.5 percent farmers do not use fertilizer whereas 25.5 percent use fertilizer on their cocoa farms. The study recommends that Ghana government should further subsidise the price of fertilizer to make fertilizer more affordable to small holder cocoa farmers and also adopt strategies that hedge against price risk. In addition, illiterate farmers should be encouraged to undergo adult literacy programmes. Rural development policies should think about the importance of improving small-scale farmers? access to credit market. Furthermore, the extension unit of the Ghana Cocoa board and Ministry of Agriculture should be strengthened to educate cocoa farmers more on fertilizer usage. DOI: http://dx.doi.org/10.3126/ije.v3i1.9939 International Journal of Environment Vol.3(1) 2014: 22-31

scholarly journals Analysis of women participation in farmer group activities in Kwara State, Nigeria

2019 ◽  
Vol 52 (3-4) ◽  
pp. 121-128
Author(s):  
Kemi Funmilayo Omotesho ◽  
Adeniyi Felix Akinrinde ◽  
Sola Emmanuel Komolafe ◽  
Oyindamola Eunice Aluko
Keyword(s):  
Sampling Technique ◽  
Structured Interview ◽  
Least Square ◽  
Women Farmers ◽  
Farm Size ◽  
Years Of Experience ◽  
Group Activities ◽  
Women's Participation ◽  
Farm Credit ◽  
Women Participation

AbstractThe level of access of women to production resources can be enhanced through their active membership and participation in farmers’ associations. However, most farmer-groups in Nigeria are male-dominated. The study therefore analysed women farmers’ participation in farmer-group activities in Kwara State. Specifically, the study identified the expectations of women from group membership; determined their level of participation; identified constraints to participation; and investigated the determinants of participation. A two-stage random sampling technique was used to select 142 women farmers on which a structured interview schedule was administered. Descriptive statistics, Likert scale, and Ordinary Least Square (OLS) Regression Analysis were used to analyse and present the data collected. The results revealed that the mean age, years of experience and farm size of the respondents were 46.9 years, 22 years and 3.2 acres, respectively. Access to farm credit (57 %), self-help (49.4 %), and farm input (31.1 %) were the most important expectations from membership. The level of women participation was low (mean = 2.87) and determined by age, years of experience and farm size at P < 0.05. Financial constraints, poor sense of belonging, inappropriate timing of activities and socio-cultural discrimination were the most severe challenges to participation. The study concluded that women participation in farmer-group activities was low, influenced by their socio-economic characteristics. Therefore, we strongly recommend a multi-dimensional approach to enhance women’s participation in group activities.

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