Abstract:The study examined income diversification, inequality and poverty among rural households in Oyo state, Nigeria. Cross-section data were generated from the survey conducted on a sample of 200 households with the aid of structured questionnaire using multi-stage sampling procedure. Descriptive statistics, diversification index, Gini coefficient, FGT poverty index, and the Probit regression model were used to analyze data. Mean income diversification index of 1.22 shows that majority of the respondents had multip… Show more
“…Similar tendency is true when considering Poverty Probability where gender differences appear among households that are poor. This could indicate that within non-poor households' the division of labor is less pronounced making men and women, prioritize traits more similarly (Alawode et al, 2017). This also highlights the overall importance of gari swelling for women and yield for men as these traits cut across food insecure and poor households.…”
Section: Considering Poverty and Food Security Could Help Develop More Impactful Breeding Productsmentioning
Demand-led breeding strategies are gaining importance in public sector breeding globally. While borrowing approaches from the private sector, public sector programs remain mainly focused on food security and social impact related outcomes. This necessitates information on specific user groups and their preferences to build targeted customer and product profiles for informed breeding decisions. A variety of studies have identified gendered trait preferences, but do not systematically analyze differences related to or interactions of gender with other social dimensions, household characteristics, and geographic factors. This study integrates 1000minds survey trait trade-off analysis with the Rural Household Multi-Indicator Survey to study cassava trait preferences in Nigeria related to a major food product, gari. Results build on earlier research demonstrating that women prioritize food product quality traits while men prioritize agronomic traits. We show that food product quality traits are more important for members from food insecure households and gender differences between men and women increase among the food insecure. Furthermore, respondents from poorer households prioritize traits similar to respondents in non-poor households but there are notable trait differences between men and women in poor households. Women in female headed household prioritized quality traits more than women living with a spouse. Important regional differences in trait preferences were also observed. In the South East region, where household use of cassava is important, and connection to larger markets is less developed, quality traits and in ground storability were prioritized more than in other states. These results reinforce the importance of recognizing social difference and the heterogeneity among men and women, and how individual and household characteristics interact to reveal trait preference variability. This information can inform trait prioritization and guide development of breeding products that have higher social impact, which may ultimately serve the more vulnerable and align with development goals.
“…Similar tendency is true when considering Poverty Probability where gender differences appear among households that are poor. This could indicate that within non-poor households' the division of labor is less pronounced making men and women, prioritize traits more similarly (Alawode et al, 2017). This also highlights the overall importance of gari swelling for women and yield for men as these traits cut across food insecure and poor households.…”
Section: Considering Poverty and Food Security Could Help Develop More Impactful Breeding Productsmentioning
Demand-led breeding strategies are gaining importance in public sector breeding globally. While borrowing approaches from the private sector, public sector programs remain mainly focused on food security and social impact related outcomes. This necessitates information on specific user groups and their preferences to build targeted customer and product profiles for informed breeding decisions. A variety of studies have identified gendered trait preferences, but do not systematically analyze differences related to or interactions of gender with other social dimensions, household characteristics, and geographic factors. This study integrates 1000minds survey trait trade-off analysis with the Rural Household Multi-Indicator Survey to study cassava trait preferences in Nigeria related to a major food product, gari. Results build on earlier research demonstrating that women prioritize food product quality traits while men prioritize agronomic traits. We show that food product quality traits are more important for members from food insecure households and gender differences between men and women increase among the food insecure. Furthermore, respondents from poorer households prioritize traits similar to respondents in non-poor households but there are notable trait differences between men and women in poor households. Women in female headed household prioritized quality traits more than women living with a spouse. Important regional differences in trait preferences were also observed. In the South East region, where household use of cassava is important, and connection to larger markets is less developed, quality traits and in ground storability were prioritized more than in other states. These results reinforce the importance of recognizing social difference and the heterogeneity among men and women, and how individual and household characteristics interact to reveal trait preference variability. This information can inform trait prioritization and guide development of breeding products that have higher social impact, which may ultimately serve the more vulnerable and align with development goals.
“…However, many of these policies could not achieve the goals of poverty eradication among farming households due to inconsistency of policy implementation, poor execution (Aminu and Onimisi, 2014;Binuyo, 2014;Mustapha 2014). As a result of these shortcomings, poverty eradication, which is the main target of the measures put in place, has not been achieved among rural farming households (Oyinbo and Olaleye, 2016;OPHI 2017;Alawode et al, 2017;Aboaba et al, 2018).…”
The purpose of this study was to examine the effects of livelihood diversification on the poverty levels of rural farming households in Southwest Nigeria. A multistage sampling technique was employed to select a total of 300 respondents in the study area. Primary data were collected on rural farming household’s socio-economic characteristics, indicators of poverty such as food and non-food expenditure with the aid of a well-structured questionnaire. Data obtained were analyzed using descriptive statistics, Foster Greer and Thorbecke model, and Tobit regression. Tobit regression estimates revealed that sex of the household heads, marital status, years of formal education, household size, farm size, farming experience, dependent ratio and household assets and livelihood diversification affects the poverty levels of farming households. Hence, livelihood diversification opportunities should be strengthened by exposing farming households to training on what they can venture into to boost their income.
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