The study determined the effects of emigration and remittance on the food security status of farming households in Edo State, Nigeria. From four (4) Local Government Areas across the State, 297 farming households were sampled randomly for the study. Structured questionnaire and interview schedule were used to obtain primary data from the farmers. Data were analyzed with descriptive statistics, food security index (FSI) and a probit regression model. The FSI classification revealed 78.41% of the households with emigrants, 64.75% without emigrants and 72.82% of the pooled results were food secure. Probit regression analysis showed that emigration status at P≤0.01 and remittance income at P≤0.10 probability levels had significant positive effect on the food security status of the farming households. Household size, farm income and access to credit each at P≤0.01, off-farm income at P≤0.05 and farming experience at P≤0.10 probability levels had significant influence on the farmers’ food security status. It was concluded that emigration status and remittance had significant positive effect on the food security status of the farming households in Edo State. Nonetheless, food insecurity still remains a major issue among the farming households in the area that cannot be overlooked by the government. It was therefore, recommended that efforts should be made to ensure that farmers are well enlightened and encouraged through extension service delivery to diversify their livelihood, engage and invest their income in productive farm and off-farm activities towards improved standard of living.

The study examined empirically gender differentials in income inequality, among crayfish harvesting households in some selected State of Niger Delta Region of Nigeria. A multi-stage and stratified random sampling techniques was employed in selecting a total of 409 (300 males and 109 females) crayfish harvesters. A structured questionnaire and interview schedule survey was used for the study. Descriptive statistical tools (percentages, frequencies and means) and inferential statistics (gini coefficient and Lorenz curve) were used to analyze the data of the study. The results revealed that income inequality of male crayfish harvesters (0.64) was higher than that of females (0.58). However, the pooled result showed that the level of income inequality among the crayfish harvesters in the areas was generally high (0.63). The study recommended that government should ensure gender equality and equity in the provision, allocation and distribution of productive (harvesting) resources and services, women should be given unrestricted access to productive resources, be made to have fair share in the family wealth, be integrated in policy formulation and implementation on community matters, and be given power to take decision in the sector among others.