Theophilus Miebi Gbigbi
Volume 11, Issue 1 , Winter 2021
Abstract
The research explored factors affecting the consumption of frozen fish in Delta State Nigeria. One hundred and 20 participants from 12 communities were randomly chosen. In order to obtain information from the respondents, a questionnaire was used. The findings indicate that 57.5% of those surveyed were ...
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The research explored factors affecting the consumption of frozen fish in Delta State Nigeria. One hundred and 20 participants from 12 communities were randomly chosen. In order to obtain information from the respondents, a questionnaire was used. The findings indicate that 57.5% of those surveyed were females with mean of 43years old. Around 64.2% of the respondents were married and 81.7% of them were educated. The average household size was around 5 people; 92.5% were Christian and they had a mean income of N72,499.5. The mean consumption expenditure of frozen fish was N11,899.95. The average frozen fish intake per capita was 10.38 kg /year. Beef is the principal substitute of frozen fish. Owing to health reasons, most preferred consumption of frozen fish. Religion did not impede consumption of frozen. Majority of the respondents preferred to consume frozen fish in smoked form. The result revealed that age, educational status, household size, income level, frozen fish prices and frozen fish substitute prices influence the consumption of frozen fish.. It is recommended price of frozen fish should be controlled to encourage its consumption considering the nutritional benefits.
Extension and Economic
Francis Ogebe; Ayuba Ali; Ishaaqa Olagunju
Volume 10, Issue 3 , Summer 2020, , Pages 137-144
Abstract
This study was undertaken to investigate the impact of microfinance on agricultural productivity by smallholder farmers in Makurdi Metropolis of Benue State, Nigeria. Data were randomly collected from 120 farmers consisting of 60 credit beneficiaries (CB) and 60 non-credit beneficiaries (NCB) by which ...
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This study was undertaken to investigate the impact of microfinance on agricultural productivity by smallholder farmers in Makurdi Metropolis of Benue State, Nigeria. Data were randomly collected from 120 farmers consisting of 60 credit beneficiaries (CB) and 60 non-credit beneficiaries (NCB) by which were analyzed through descriptive statistics and multiple regression analysis. The results of the regression analysis showed a clear impact of microfinance credit on agricultural productivity. Findings revealed that, the accessed credits help farmers to purchase inputs and improve farming technologies which ultimately transformed into higher productivity of the credit beneficiaries as CB farmers realized higher yields (52.1 bags) compared to the NCB farmers (24.6 bags). This is partly because the CB were relatively better in the use of inputs such as adoption of improved seeds, use of fertilizers and affordability of hired labor which ultimately enhanced their farm productivity. The study concluded that though microfinance credits has significant impact on agricultural productivity under smallholder farmers, access to microfinance credits by smallholder farmers in the study area is constrained by lack of microfinance credit information, high interest rates, and inadequate supply of credit institutions as well as risk averse nature of some farmers. Thus, in order to enhance agricultural productivity and improve the well-being of smallholder farmers, it is recommended that smallholder farmers should be facilitated to form “Savings and Credits Cooperative Unions” (SACCOS) for collective responsibilities of accessing credits and paying loans.
Rural and Agricultural Sociology
O. F Ogebe; M. A Adejo; P. A Burbuwa
Volume 10, Issue 2 , Spring 2020, , Pages 71-79
Abstract
The study assessed the determinants and vulnerability to rural poverty in Nigeria using 2018-2019 Nigerian Living Standards Survey data. Binary probit regression model was used to ascertain the determinants of poverty and probability of the household being vulnerable to poverty. Linear regression ...
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The study assessed the determinants and vulnerability to rural poverty in Nigeria using 2018-2019 Nigerian Living Standards Survey data. Binary probit regression model was used to ascertain the determinants of poverty and probability of the household being vulnerable to poverty. Linear regression model was used to ascertain how various kinds of households’ characteristics impact on the likelihood that the household will fall into poverty. The probit estimates showed that economic growth, debt, inflation, investment, corruption, life expectancy, and unemployment rate were major determinants of poverty in Nigeria as they have potential to aggravate poverty. It was found that lower household size is associated with low vulnerability to poverty. The odd ratios of the probit model showed that household characteristics of age, household size, female-headed households and households located in northern zones of the country are significantly correlated with poverty and are major socio-economic determinants of household vulnerability to poverty. The rate of decrease in vulnerability is marginal in all other northern zones relative to north east but larger in the southern geopolitical zones. Vulnerability to poverty is a more serious issue in Nigeria, particularly in the north-eastern part of the country. The research recommends creation of enabling environment that encourages small and medium scale business to thrive in order to reduce the level of unemployment which has pervasive effect on poverty.
Extension and Economic
O M Ogah; F Ogebe; M Shehu
Volume 10, Issue 1 , Winter 2020, , Pages 29-34
Abstract
The study was conducted to analysed the income determinants among farm households in Kaduna state, Nigeria. One hundred and twenty (120) respondents were administered questionnaires selected using simple random sampling. Data were analysed using descriptive statistics like frequency distribution, percentages, ...
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The study was conducted to analysed the income determinants among farm households in Kaduna state, Nigeria. One hundred and twenty (120) respondents were administered questionnaires selected using simple random sampling. Data were analysed using descriptive statistics like frequency distribution, percentages, mean and inferential statistics like multiple regressions. Results from the analysis revealed that, the respondents were in their productive age, (46 years), mostly males (60%), highly educated, married (50%) with average family size of 7 persons. The analysis also documented that 38% of the respondents earned their income from off-farm activities with an average annual income of N188, 466.50. The major factors that influence income determination were marital status, household size, farm size and credit as these have coefficients that were significant at 1%, 5%, 5% and 1% levels respectively with a high R-2 value of .86. The study concluded that on- farm income is the most important source of income for rural household and recommend that on- farm and non-farm economic activities should be promoted among rural households income improvement. The need for farmers to form cooperative society is important as access to credit significantly influenced income of farmers, this will also enable them to increase their farm size.
Rural and Agricultural Sociology
Babatunde Olanrewaju; Opeyemi Gbenga; Zubair Idris
Volume 9, Issue 1 , Winter 2019, , Pages 35-41
Abstract
The study examined factors influencing rice farmers` vulnerability to poverty, identified coping strategies employed by farmers to manage livelihood shocks that predisposes them to poverty and determined the impact of poverty on rice production in Nasarawa state, Nigeria. The study was carried out in ...
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The study examined factors influencing rice farmers` vulnerability to poverty, identified coping strategies employed by farmers to manage livelihood shocks that predisposes them to poverty and determined the impact of poverty on rice production in Nasarawa state, Nigeria. The study was carried out in Nasarawa rice hubs Nasarawa state. A two stage sampling technique was employed to select 121 rice farming households across 5 communities. Data was collect using questionnaire and personal interview and the data was analysed using household vulnerability index (HVI),fussy set analysis, regression analysis(ordered probit and OLS) as well as descriptive statistics. HVI analysis reveals that 16.5% of the households has low vulnerability to poverty, 65.3 has moderate vulnerability to poverty while 18.2% has high vulnerability to poverty. Ordered probit regression result reveals that access to information, number of shocks (idiosyncratic and covariate) exposed to by households, and years of farming significantly affect household vulnerability to poverty in the studied area. The study therefore, concludes that majority of the households are moderately vulnerable to poverty which implies majority of the household has been affected so hard that they need rapid-response poverty alleviation strategies to be liberated from poverty. It was also shown that rice farmers in the study area rely majorly on help from friends and relatives, also borrowed food in order to cope with livelihood threats. The study also concludes that Fulani herds men crisis, communal crisis, flood and poor linker roads are the major challenges facing farmers in the studied area.
Workneh Abebe; Ranjan S. Karippai; Ranjitha Puskur
Volume 1, Issue 3 , Summer 2011, , Pages 137-144
Abstract
Though beekeeping is a common farming enterprise and income generating activity in Atsbi Wemberta district, and promotional efforts have been made to improve it, no systematic study has been undertaken to evaluate the promotional efforts and people’s response to it. The objectives of this study ...
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Though beekeeping is a common farming enterprise and income generating activity in Atsbi Wemberta district, and promotional efforts have been made to improve it, no systematic study has been undertaken to evaluate the promotional efforts and people’s response to it. The objectives of this study were to identify determinants of improved box hive adoption by the beekeepers; and to analyze financial benefits from adopting improved box hive technology. It was found that credit, knowledge, education level of household head, perception and visits to demonstrations positively and significantly influenced adoption of box hive. Hence, Linking honey producers to stable and reliable markets and following a participatory value chain based approach; promoting private entrepreneurs to provide additional services for value addition; promoting farmer-to-farmer knowledge sharing; and encouraging farmer groups create a learning environment are some initiatives that could go a long way in the sustainable development of this important economic sub-sector. [Workneh Abebe et al. Determinants of Box Hive Promotion and Financial Benefits in Selected District Of Ethiopia. International Journal of Agricultural Science, Research and Technology, 2011; 1(3):137-144].
