This study analysed the economics of fish demands in Lagos State, Nigeria. Primary data were collected from a total of 110 fish consumers using multistage sampling procedure. Data were collected on household consumption activities for 2002 consumption period. The data were analysed using descriptive statistics and regression analysis. The results showed that the average sampled consumers are literate with mean household size of 5. It was evident from the study that, the higher the income level of the respondents the higher the quantity of fish demanded and fish demand also increases as household size and age increases. The result of the regression analysis revealed that fish demand in the study area is income inelastic. It was also revealed that (income, substitute, household size and age) half of the variables positively influenced the monthly expenditure on fish, while the rest four variables (sex, marital status, occupation and education) influenced the monthly expenditure on fish negatively. However, age and education had significant relationship with monthly expenditure on fish.
The development of the agro-industrial sector lies in increasing agricultural productivity which is directly affected by climatic changes. The study, therefore, evaluated the strategies for implementing agro-industrial policy in the face of climate change in Southwestern, Nigeria. The study adopted a participatory Field Survey Method to carry out a preliminary survey, while a multistage sampling procedure was used to select 238 crop processors/agro-industrialist. Data were collected through a structured interview schedule and analyzed with frequency distribution and percentage as main descriptive statistical tools. The study revealed different subsectors of agriculture adversely affected by climate change and several recommendations for policy formulation on climate change for sustainable agro-industrialization in the area. The study, therefore, recommends that stakeholders in agro-processing industries and governments at various levels should engage in regular consultation and participatory management mechanisms to reduce the effects of climate change on agro-industries and come up with policy documents that will promote and enhance sustainable agro-industrialization in South-west in particular and Nigeria at large.
Keywords: Agro-Industries, Agro-processors, Climate Change, Policy Issues.
The study looked at the poverty profile of households in rural Nigeria and also their vulnerability to poverty and factors determining vulnerability to poverty. The study used the post harvest and post planting cross section data from the National Living Standard Survey (NLSS) for year 2012. A multi-Stage sampling technique was adopted to select a total of 1020 households for the study. Three stage feasible generalized least square (3FGLS) estimation procedure was used to analyze the vulnerability to poverty and to model the effect of household socio-economic status on expected future consumption and variation in future consumption while Tobit model was used to examine the determinants of vulnerability to poverty and VEP. The result revealed that 58 percent of the rural household in the study area are poor, and the intensity of poverty was 30.1 percent, which was high for the study area was high. Severity of poverty was recorded as 18.4 percent, an indication for income inequality among the poor. The result further revealed that age squared (P = 0.01), sex (P = 0.10), covariate shocks (P = 0.10) and farm size (P = 0.05) were positively significant in ex ante mean consumption while age (P = 0.01), married respondents (P = 0.10), and years of schooling (P = 0.05) were negatively significant in ex ante mean consumption. The shocks variables experienced by households in the study area were natural/agricultural; economic; political/social/legal; and demographic/life-cycle shocks that inflict welfare loss. The findings suggest that poverty and vulnerability to poverty are independent concepts. It is recommended that policies concerning poverty reduction should consider households that are currently nonpoor but are vulnerable to poverty along with poor households. Rural households should also be encouraged to engage in more off-farm activities and value addition of their produces.
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