scholarly journals Determinants of farmers’ access to microcredit from cooperative societies in Ondo state, Nigeria

2022 ◽  
Vol 11 (2) ◽  
pp. 103-107
Author(s):  
A Kolapo ◽  
AS Ogunleye ◽  
AD Kehinde ◽  
AA Adebanke
Keyword(s):  
Sampling Technique ◽  
Descriptive Statistics ◽  
Farm Size ◽  
Primary Data ◽  
Logit Regression ◽  
Cooperative Society ◽  
Consumer Cooperative ◽  
Ondo State ◽  
Multistage Sampling ◽  
Logit Regression Model

The study examined the determinants of farmers’ access to microcredit from cooperative societies in Ondo state. A multistage sampling technique was used to obtain data from 100 respondents. Primary data was collected for the purpose of the study. We used descriptive statistics and logit regression model to analyses the data collected. Result showed that the farmers were mostly male farmers (64%) while majority of the farmers had a mean age of 44.10 ± 14.70. It was also revealed that consumer cooperative society, producer cooperative society, marketing cooperative society, cooperative farming society and credit and thrift cooperative society were the major forms of cooperative used by the farmers. The result also shows that age, marital status, farm size, farming experience, credit from another source and number of years in the cooperative significantly influenced farmers’ access to microcredit from cooperative society. Int. J. Agril. Res. Innov. Tech. 11(2): 103-107, Dec 2021

scholarly journals Households' preference for some selected cowpea varieties in Oyo State, Nigeria

2020 ◽  
Vol 24 (3-4) ◽  
pp. 108-114
Author(s):  
Ajibola Ojedokun ◽  
Olufemi Yesufu
Keyword(s):  
Formal Education ◽  
Household Head ◽  
Sampling Technique ◽  
Primary Data ◽  
Logit Regression ◽  
Multinomial Logit Regression ◽  
Cowpea Varieties ◽  
Multistage Sampling ◽  
Logit Regression Model ◽  
Weevil Infestation

This study was carried out to determine the factors influencing households' preference for some selected cowpea varieties in Oyo State, Nigeria. Primary data were collected from a total of 250 households from five Local Government Areas (LGAs) using the multistage sampling technique. Data were analysed using descriptive statistics and multinomial logit regression model. The study revealed that households mostly preferred the Oloyin variety of cowpea and that households mostly used Oloyin for their different cooking. The age of household head, the primary occupation of household head, years of formal education, income, prices of cowpea varieties, aroma during cooking, ability to tolerate weevil infestation and absence of foreign particles influenced households' preference for cowpea varieties. The study recommends that it is necessary for stakeholders and breeding institutions to give attention to the Oloyin variety if the Agricultural Promotion Policy's aim will be achieved.

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.

scholarly journals Determinants of Adoption of Cassava Technologies by Male Farmers in Nasarawa State, Nigeria

1970 ◽  
Vol 19 (1) ◽  
pp. 117-127
Author(s):  
ME Ejechi
Keyword(s):  
Sampling Technique ◽  
Descriptive Statistics ◽  
Logit Regression ◽  
Multi Stage ◽  
Cassava Production ◽  
Production Technologies ◽  
Logit Regression Model ◽  
Very High ◽  
Selection Of ◽  
Structured Questionnaire

The study investigated determinants of adoption of recommended cassava production technologies among male farmers in Nasarawa State. Multi-stage sampling technique was employed for the selection of the respondent. Structured questionnaire was used for data collection. The data were collected from 60 male cassava farmers selected from 6 out of 13 LGAs in the State. They were Karu, Kokona, Akwanga, NasarawaEggon, Lafia and Obi. Data were analysed with both descriptive and inferential statistics. Descriptive statistics such as frequency tables, and percentage were used to describe socio-economic characteristics of the respondents. Logit regression model was used to estimate the determinants of adoption of these practices. The results showed that awareness and adoption of these practices were very high (Awareness of all the practices ranges from 90% to 98.3% while the adoption is from 63.3% to 90%). Factors that positively and significantly influenced adoption by male farmers were income (p=0.01) and extension contact (p=0.1). The conclusion was that men made remarkable contribution in cassava production. It was recommended that Governments at all levels formulate policies aimed at encouraging and motivating male cassava farmers. Provision of loans to male farmers and subsidizing of inputs should be ae necessary. Cassava processing industries should be established to add value and increase income.Keywords: Adoption, Cassava Technologies, Male farmers.

Factors Influencing Economic Performance of Palm Oil Producers in Akwa Ibom State, Nigeria

2020 ◽  
Vol 3 (3) ◽  
pp. 69-77
Author(s):  
Folasade Oluremi Aminu ◽  
Justina Umoh
Keyword(s):  
Regression Analysis ◽  
Palm Oil ◽  
Economic Performance ◽  
Oil Production ◽  
Sampling Technique ◽  
Primary Data ◽  
Cooperative Society ◽  
Factors Influencing ◽  
Multistage Sampling ◽  
Significant Factors

The study examined the factors influencing economic performance of palm oil production in Abak Local Government Area of Akwa-Ibom State, Nigeria. The study was based on primary data collected with the aid of pre-tested questionnaire from 120 respondents using multistage sampling technique in the study area. Descriptive statistics and multiple regression analysis were used for data analysis. Results revealed that majority (78%) of the palm oil producers were female with a mean age of about 50 years. The costs and returns analysis indicated that palm oil production was a profitable enterprise with a rate of return of 1.17. The result of the regression analysis revealed that age (p<0.05), education (p<0.01), membership of cooperative society (p<0.05), cost of equipment (p<0.05) and cost of labour were the significant factors influencing economic performance of palm oil producers in the study area. The major constraints faced by the producers were inadequate capital, lack of credit facilities, lack of access to improved inputs and technology, price fluctuation among others. The study recommended that, government, both at the federal and state levels should make credit facilities available and accessible to the palm oil producers at low interest rate in order to sustain and invigorate their economic performance.

scholarly journals Determinants of food security and technical efficiency of cassava farmers in Ondo State, Nigeria

2018 ◽  
Vol 21 (7) ◽  
pp. 915-928 ◽  
Author(s):  
Clementina Oluwafunke Ajayi ◽  
Adewale Isaac Olutumise
Keyword(s):  
Food Security ◽  
Technical Efficiency ◽  
Sampling Technique ◽  
Probit Model ◽  
Educational Background ◽  
Farm Size ◽  
Primary Data ◽  
Food Crops ◽  
Subsequent Increase ◽  
Ondo State

Cassava is one of the most important staple food crops in Nigeria. It is one of the priority food crops necessary for improved food security and poverty reduction in Nigeria. The study investigated the determinants of food security and technical efficiency of cassava farmers in Ondo State, Nigeria using Food Security index, Data Envelopment Analysis (DEA) and Heckman probit model. The study used primary data and a multistage sampling technique was used to randomly select 120 respondents. Findings revealed that 43% of the respondents were food secured. The shortfall and surplus indices were 0.13 and 0.20 respectively. DEA results indicated that about 80% of the respondents had technical efficiency above 0.50 while the average technical efficiency was 0.83. The results of Heckman probit model also showed that farming experience, education, age, cassava output, number of dependants, access to credit, access to extension agent, distance to farm and farm size were the factors that influenced technical efficiency and food security in the study area. It is therefore concluded that improving technical efficiency of the cassava farmers will be an antidote to the problem of food insecurity in the area. This can be achieved by improving agricultural extension services as well as the educational background of the farmers to strengthen the activities of the Agricultural Credit Schemes policy to grant more loans to farmers at a low interest rate for increased productivity and subsequent increase in technical efficiency thereby improving food security further in Ondo State.

scholarly journals Factors influencing tomato marketing in Ile-Ife, Osun State, Nigeria

2020 ◽  
Vol 24 (2) ◽  
pp. 53-56
Author(s):  
Ajibola Ojedokun ◽  
Olufemi Yesufu ◽  
Victoria Ayorinde
Keyword(s):  
Sampling Technique ◽  
Education Level ◽  
Descriptive Statistics ◽  
Transportation Costs ◽  
Primary Data ◽  
Gross Margin ◽  
Factors Influencing ◽  
Gender Education ◽  
Multistage Sampling ◽  
Margin Analysis

This study was conducted to identify the factors influencing tomato marketing in Ile-Ife, Osun State, Nigeria. Primary data were collected from a total of 100 tomato marketers using a multistage sampling technique. The data were analysed using descriptive statistics, gross margin analysis and multiple regression analysis. The result obtained revealed that wholesalers had a higher gross margin than retailers. Gender, education level and transportation costs were found to influence the marketing margin of retailers, whereas household size and transportation costs influenced the marketing margin of wholesalers. The study therefore recommends that tomato marketers should be encouraged into wholesale marketing. This can be achieved by subsidization and the implementation of an efficient marketing system.

scholarly journals Effect of Social Capital on Poverty Alleviation among Fish Farming Households in Oyo State, Nigeria

2019 ◽  
pp. 1-14 ◽  
Author(s):  
A. A. Adepoju
Keyword(s):  
Social Capital ◽  
Regression Model ◽  
Capital Investment ◽  
Poverty Reduction ◽  
Sampling Technique ◽  
Fish Farming ◽  
Primary Data ◽  
Multistage Sampling ◽  
Logit Regression Model ◽  
Farming Households

This study investigates the effect of social capital investment on poverty reduction among fish farming households of Oyo State, Nigeria. A multistage sampling technique was adopted in the selection of the respondents. Primary data were collected using a structured questionnaire from a representative sample size of 359 households in four local government areas representing the four agricultural zones, namely Ibadan-ibarapa, Oyo, Ogbomoso and Saki in Oyo State, Nigeria. The study used a multinomial logit regression model to examine the effect of social capital on household poverty. The estimates of the regression model indicated that, in addition to the socio-economic characteristics of some households, social capital endowments have significant effect on the probability of a household being poor. The study concluded that, among other factors, social capital is very important in reducing household’s poverty. It was therefore recommended that stakeholders should be encouraged to invest in households’ social capital to accelerate poverty reduction among the fish farmers in the study area.

scholarly journals Determinants of technical efficiency in cotton production in the southern cotton growing zone of Nigeria: A stochastic production frontier approach

2019 ◽  
Vol 2 (02) ◽  
pp. 58-63
Author(s):  
MUYIWA SUNDAY OLATIDOYE ◽  
TAIWO ALIMI ◽  
ADEBAYO AKINBOYE AKINOLA
Keyword(s):  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Chemical Properties ◽  
Sampling Technique ◽  
Descriptive Statistics ◽  
Farm Size ◽  
Primary Data ◽  
Cotton Production ◽  
Stochastic Production Frontier ◽  
Cotton Farmers

Abstract. Olatidoye MS, Alimi T, Akinola AA. 2018. Quality assessment of the physico-chemical properties of vermiwash produced from different sources during successive storage periods. Asian J Agric 2: 58-63. The study investigated on socio-economic factors and estimated the technical efficiency indices and factors influencing technical efficiency of the sampled cotton farmers in the Southern Cotton growing zone of Nigeria. A multistage sampling technique was employed to select a total sample of 300 cotton farmers. The study made use of only primary data which was collected through the aid of a well-structured questionnaire. The data were analyzed using descriptive statistics and stochastic frontier production parametric model. The results of the descriptive statistics showed that majority (83%) of the cotton farmers in the study area were males while the mean age of the respondents was 49 years. The average household size was 8 persons per household and majority (69%) of the respondents had formal education. Majority of the respondents (59%) had no access to credit facilities while majority (80.4%) of the cotton farmers had reasonable years of experience ranging between 11 and above in cotton production. Furthermore, the study found that the technical efficiency of the farmers range from 0.35 and 0.99 with a mean of 0.79. This indicates ample opportunity for farmers to increase their productivity through improvement in their technical efficiency. Seed, fertilizer, pesticides and farm size were found to be statistically significant and positively related to farmers’ output while education, credit, extension contact and farming experience of the respondents negatively influenced farmers’ technical inefficiency. The farmers therefore need to increase their output through more intensive use of seed, land, pesticides and fertilizers.

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 SENSITIVITY ANALYSIS AND FUTURE FARM SIZE PROJECTION OF BIO-FORTIFIED CASSAVA PRODUCTION IN OYO STATE, NIGERIA

2020 ◽  
Vol 5 (2) ◽  
pp. 61-66
Author(s):  
Kolapo Adetomiwa ◽  
Ojo Christianah Funmilayo ◽  
Lawal Adebayo Morenikeji ◽  
Abayomi Tajudeen Sarumi ◽  
Muhammed Opeyemi Abdulmumin
Keyword(s):  
Return On Investment ◽  
Sampling Technique ◽  
Farm Size ◽  
Primary Data ◽  
Farm Income ◽  
Questionnaire Data ◽  
Cassava Production ◽  
Multistage Sampling ◽  
Structured Questionnaire ◽  
Cassava Varieties

The study examined the costs and returns to bio-fortified cassava production and forecast the future farm size of bio-fortified cassava production in Oyo State, Nigeria. A multistage sampling technique was used to select our respondents. Primary data were used for the study which were collected through a well-structured questionnaire. Data collected were analyzed using descriptive, Markov chain, and budgetary analysis. The result of the study showed that TMS 01/0593, TMS 01/0539 and TMS 01/0220 were the mostly grown varies of bio-fortified cassava varieties in Oyo State, Nigeria. The result of the budgetary analysis showed that the average net return (net farm income) from the production of bio-fortified cassava was ₦196710.95 with RORI of 224.95%. The result revealed that at 35% increase in cost of production, the rate of return on investment dropped to 140.70% in which the investment will not be viable. The bio-fortified cassava farmers have a great potential to boost production through increases in farm sizes of the bio-fortified cassava famers until the year 2026 when equilibrium would be attained at about 2.85ha. In order to adequately achieve these goals, more improved varieties of bio-fortified cassava should be provided. Consequently, infrastructures should be put in place to help boost farmers moral in their cause of production.

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