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 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 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 Profitability Analysis and Factors Influencing Profit Level of Small-Scale Broiler Farmers in Nigeria

2020 ◽  
pp. 127-135
Author(s):  
Afodu Osagie John ◽  
Shobo Bolatito Adenike ◽  
Ayo-Bello Taofeek Ayodeji ◽  
Abasilim Chinwe Frances
Keyword(s):  
Sampling Technique ◽  
Educational Status ◽  
Study Data ◽  
Small Scale ◽  
Factors Affecting ◽  
Logit Regression ◽  
Profitability Analysis ◽  
Cost Of Drugs ◽  
Multistage Sampling ◽  
Selection Of

Broiler birds are widely praised for its palatability and nutritious values which are mainly for meat purpose, and also serves as source of income to many households in Nigeria. The broiler industry is faced with high cost of production thereby reducing the farmers profit. The study was conducted in three Geopolitical zones in Nigeria. A multistage sampling technique was adopted for this study for the selection of 540 broilers farmers out which 392 returned a well filled questionnaire where data were extracted for the study. Data for this study were analysed using descriptive (frequency and percent) budgetary analysis and inferential (Logit regression) statistics. Factors affecting the profit level of broiler farmers were age (γ1= -0.145, p= 10%), households size (γ3= -5.477, p=10%), educational status of the farmers (γ4= 0.228, p= 5%), number of birds (γ7= 0.575, p= 5%), cost of feed (γ8= -1.022, p= 1%), cost of water (γ9= -1.277, p= 1%), cost of drugs (γ10= -1.640, p= 5%) and cost of chick (γ11= -7.104, p= 1%). Young people should be encouraged to be involved in production of broiler, since agriculture has aging population and help in employment creation. Farmers should maintain a low number of households so as to increase their profit. The farmers should have some forms of education on the production of broilers so as to enhance their profit.

scholarly journals PROBABILITAS BANGKITAN PERJALANAN BERBASIS AKTIVITAS DARI KAWASAN PERUMAHAN DI KOTA KUPANG

Teras Jurnal ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 158
Author(s):  
Oktovianus Edvict Semiun ◽  
Egidius Kalogo
Keyword(s):  
Random Sampling ◽  
Average Distance ◽  
Sampling Technique ◽  
Trip Generation ◽  
Residential Areas ◽  
Work Activities ◽  
School Activities ◽  
Logit Regression ◽  
Multinomial Logit Regression ◽  
Average Travel Time

<p class="11daftarpustaka">Generally, trip generation is based on activities from the household. Each household member, of course, has different travel destinations in a household, there will be several trips that are caused by the activity. This study is aimed at determining the factors that influence the trip generation and predict the magnitude of trip generation originating from residential areas based on activities in Kupang city. Travel activities were divided into three categories i.e. work activities, school activities and other activities. Data collection was done by distributing questionnaires to 444 households through random sampling technique. Based on the calibration of the modelling results with multinomial logit regression analysis, the factors that significantly influence trip generation from residential areas were the number of family members who did activities, the average distance travelled and the average travel time. The probability of trip generation was predicted to be 55.48% for work activities, 25.61% for school activities and 18.90% for other activities.</p>

scholarly journals Analysis of Consumer’s WTP for Cowpea Varieties in Osun State, Nigeria: the Hedonic Pricing Approach

2018 ◽  
Vol 6 (9) ◽  
pp. 1120 ◽  
Author(s):  
Rabirou Kassali ◽  
Abayomi Yusuf Oyewale ◽  
Olufemi Adedotun Yesufu
Keyword(s):  
Willingness To Pay ◽  
Consumer Preferences ◽  
Sampling Technique ◽  
Hedonic Pricing ◽  
Primary Data ◽  
Price Premium ◽  
Price Variation ◽  
Cowpea Varieties ◽  
Breeding Programmes ◽  
Almost All

Analysis of consumer preferences for cowpea varieties in Osun State was carried out with a view to identifying attributes that determine price variation among cowpea varieties and the effect on consumer’s willingness to pay for those varieties. A multistage sampling technique was used to randomly select 240 respondents for the study, comprising 180 cowpea consumers and 60 retailers. Primary data were collected on cowpea varieties, their attributes and the consumer’s willingness to pay for cowpea varieties using well structured questionnaire. Data collected were analysed using both descriptive and inferential statistics. The results showed that out of thirteen varieties found in the area, only nine varieties of cowpea were common in the market. The quality of each variety differs which explained variation in their price. In terms of preference the Oloyin variety is preferred most by 78% of consumers. Weevil resistance had the highest rank among the cowpea attributes. Oloyin had the highest WTP followed by Milk and Drum with ₦303, ₦237 and ₦213 per kg, respectively. Hedonic pricing methods provide a statistical estimate of premiums and discounts for cowpea attributes. Results indicated that weevil resistance was the most important attribute to consumer. Cowpeas with weevil damage tolerance, brown colour, large grain size and short cooking time commanded price premium for almost all the varieties. The consumer discounted prices for insect damage, small size, white colour, smooth skin and grain colour mixed together. The study concludes on the need for breeders and research institutes to incorporate these cowpea attributes that attracted price premium into their cowpea breeding programmes.

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 Determinants of forest land use decisions among rural farm households in south-western Nigeria

2018 ◽  
Vol 51 (2) ◽  
pp. 83-91
Author(s):  
Ayoade Matthew Adetoye ◽  
Samuel Ayodele Adewuyi ◽  
Dare Akerele
Keyword(s):  
Land Use ◽  
Land Tenure ◽  
Sampling Technique ◽  
Sustainable Land Use ◽  
Farm Households ◽  
Primary Data ◽  
Forest Land ◽  
Land Use Decisions ◽  
Choice Proportion ◽  
Multistage Sampling

Abstract The study examined factors determining forest land use decisions among rural farm households in south-western Nigeria. Primary data on socio-economic and community characteristics as well as land use systems were obtained from 300 farm households using a structured questionnaire through a multistage sampling technique. The study revealed that marital status (P < 0.01), gender (P < 0.01), land tenure security (P < 0.01), dominant crop type (P < 0.05), and preference for tree on farm land (P < 0.01) are factors influencing forest land use decision in either agroforestry, pure cultivation or in both practices. Land use choice proportion estimation shows that 63 % are still willing to retain their existing land use practice (pure cultivation). A total of 32 % are willing to shift completely from their existing land use practice while 4 % of the respondents are willing to practice both “agroforestry and pure cultivation” simultaneously. The study therefore suggests the need for a change in forest land use policy, particularly, with a view influence the pattern of use, limitation on type of crop that can be grown, and compliance to sustainable land use practice. This would go a long way in driving forest land use towards agroforestry – a practice identified as a means of ensuring food security while ensuring safe environment.

scholarly journals Determinants of Households’ Market Participation around Community Milk Cooling Plants, Western Kenya

2018 ◽  
Vol 10 (3) ◽  
pp. 204
Author(s):  
Justus I. Emukule ◽  
Mary J. Kipsat ◽  
Caroline C. Wambui
Keyword(s):  
Dairy Cow ◽  
Sampling Technique ◽  
Structured Interview ◽  
Household Size ◽  
Sub Saharan Africa ◽  
Primary Data ◽  
Market Participation ◽  
Household Characteristics ◽  
Sub Saharan ◽  
Multistage Sampling

Market participation in sub-Saharan Africa has been assessed mainly based on already producing households by looking at whether they sold or not, and if they sold, what quantities. The objective of this study was to determine the socio economic factors that influenced households’ decisions on market participation in terms of dairy cow ownership and quantity of milk sold while taking into consideration the non-producers using Heckman two stage model. The model allowed for not only determination of the effects of household characteristics on volume of milk surplus sold by already producing households but also drew inferences on the effect of household characteristics on probabilities of dairy cow ownership whileadding new information to literature by generating the truncation effect. A multistage sampling technique was used to select 544 producer and non-producer households and primary data collected using a semi structured interview schedule through personal interviews. From the results, probit marginal effects for dairy cow ownership were associated positively and statistically significant with household size, the level of education and land size owned by the households. The Heckman selection estimates revealed that increased number of dairy cows per household positively influenced the volumes of milk sold, while household size influenced negatively the quantity of milk sold. In conclusion, milk sales conditional on dairy cow ownership suffered from negative selectivity bias whereby a household with sample average characteristics who selected into dairy cow ownership secured 40% lower quantity of milk sold than would a household drawn at random.

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.

Determinants of Financial Inclusion in Tribal Districts of Odisha: An Empirical Investigation

Social Change ◽  
2017 ◽  
Vol 47 (1) ◽  
pp. 45-64 ◽  
Author(s):  
Auro Kumar Sahoo ◽  
Bibhuti Bhusan Pradhan ◽  
Naresh Chandra Sahu
Keyword(s):  
Household Head ◽  
Financial Inclusion ◽  
Primary Data ◽  
Tribal People ◽  
Savings Accounts ◽  
Savings Bank ◽  
Field Investigations ◽  
The Status ◽  
Employment Guarantee ◽  
Logit Regression Model

The study has tried to investigate the status of the financial inclusion of tribal people in two tribal concentrated districts, namely Bolangir and Mayurbhanj, in the state of Odisha. Field investigations were undertaken to find out the status of financial inclusion in six villages of these two districts where the proportion of the tribal population was larger than that of the total population. Primary data were collected from 300 households by using a semi-open survey schedule. It was found that about 71.7 per cent of households had no savings bank accounts; 70.7 per cent were not involved in self-help group activities and 97.7 per cent did not have post office savings accounts. Additionally, a logit regression model was used to identify the various determinants of financial inclusion of tribal households. The results revealed that years of education attained by the household head, size of private-owned land, total annual income of the household and participation in the Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) were significant determinants for financial inclusion among tribal people.

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