Comparative Analysis of Rural to Urban Multidimensional Poverty and Its Correlates at Household Level in Gamo Zone of Southern Ethiopia

A significant trend in the contemporary period is the increased number of women migrants due to the changing labour demands caused by globalization. Over the past century, women’s employment has shifted from the industrial to the service sector and also to the informal economy. The development of the informal economy has allowed women to be active participants in this sector and also to migrate from developing countries to developed countries with better economies. This migration and foreign employment has the potential to bring positive benefits for these women; but simultaneously, there is also a great risk of exploitation and abuse associated with such migration. Despite its considerable economic growth in the last decade, unemployment especially youth unemployment is still high in Ethiopia. And much household level with hardships due to income that is below the poverty line and due to the number of people depends on agriculture which endures increasing spells droughts. Given the ecological and demographic pressures on the land and the lack of local employment opportunities, many families pressure their children to migrate, while many young people want to go abroad in search of better employment options and a possible better future. Qualitative research methodology was applied to describe the issue under consideration. This paper attempts to assess and critically examine the possible benefits, causes and potential human right violations faced by Ethiopian female domestic workers by taking Silte Zone of southern Ethiopia as an example that are migrating to the Middle East and Gulf States.

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Household food insecurity and coping strategies in Southern Ethiopia

Agriculture & Food Security ◽

10.1186/s40066-021-00296-8 ◽

2021 ◽

Vol 10 (1) ◽

Author(s):

Mesfin Melese ◽

Minyahel Tilahun ◽

Mebratu Alemu

Keyword(s):

Food Insecurity ◽

Coping Strategies ◽

Water Conservation ◽

Sampling Technique ◽

Food Shortage ◽

Southern Ethiopia ◽

Household Food Insecurity ◽

Household Level ◽

Household Food ◽

And Coping

Abstract Background Hunger and undernourishment are the main challenges of today’s world and 960 million people are hungry and undernourished. Food insecurity is an enduring, critical challenge in Ethiopia. Majority of the previous studies overlooked relevant determinant factors which affect the occurrence of food insecurity. This study aims to investigate household level food insecurity determinate factors and coping strategies used in the study area. Method Explanatory and descriptive research was designed to assess household food insecurity and coping strategies in Analemmo district of southern Ethiopia. A multi-stage purposive sampling technique was used for the purpose of this study. Two hundred households were selected systematically following list of food insecure households. Econometric models were employed using binary logit model. Household calorie acquisition was calculated to categorize households into food secure and food insecurely status. Results The survey result showed that 64% of the respondents were food insecure. Variables such as agro-ecology, age and education status, number of oxen, soil and water conservation, amount of credit, cultivated land size and receiving remittance were negatively but significantly (P < 0.05) affected households' food insecurity level. Female and young groups of the community were more food insecure as compared to others groups. The community was coping food shortage by relying on less preferred and less expensive food followed by participating in off-farm activities and borrowing food. Housesholds in the study area were utilizing less preferred foods to cope up food shortage and starvation. Conclusion Efforts of different developmental organizations should give due emphasis to household's wealth level, female-headed household and young and old-aged members of the community. Crop land production supported by modern agricultural technologies and information can reduce agricultural risks, and enhance productivity per unit land.

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Child Poverty Profile in Four WAEMU Countries: A Comparative Analysis Based on Multidimensional Poverty Approach/Profil De La Pauvreté Infantile Dans Quatre Pays De L’UEMOA: Une Analyse Comparative Basée Sur L’Approche Multidimensionnelle De La Pauvreté (French)

SSRN Electronic Journal ◽

10.2139/ssrn.1464781 ◽

2009 ◽

Author(s):

Kossi Agbeviade Djoke ◽

Ayawo Djadou ◽

Amélé d'Almeida ◽

Rachidatou Ruffino

Keyword(s):

Comparative Analysis ◽

Child Poverty ◽

Multidimensional Poverty ◽

Analyse Comparative

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Explaining Multidimensional Poverty: A Household-Level Analysis

Asian Economic Papers ◽

10.1162/asep_a_00648 ◽

2018 ◽

Vol 17 (3) ◽

pp. 183-210 ◽

Cited By ~ 2

Author(s):

Carlos C. Bautista

Keyword(s):

Negative Impact ◽

Mixed Logit ◽

Substantial Reduction ◽

Multidimensional Poverty ◽

The Philippines ◽

Policy Implications ◽

Income Poverty ◽

Logit Analysis ◽

Household Level ◽

Multidimensional Poverty Index

A multidimensional poverty index is constructed for the Philippines using the Alkire-Foster methodology and data from a 2011 annual poverty indicators survey. This is disaggregated into urban and rural population groups, as well as by dimension and administrative region. At the province level, the study finds a positive relation between poverty incidence and intensity, but the highest intensity levels are experienced in areas where incidence is not that high relative to other areas. Provinces with high incomes generally have low poverty indices and the relationship appears to be nonlinear. An examination of household poverty using mixed logit analysis shows that poverty risk rises with household size. A substantial reduction of the risk is observed for households with heads who were able to matriculate high school. The household head's health status has a negative impact on the household's risk of being poor. These are contrasted with the results using the income poverty definition. Policy implications are drawn from the calculations and the econometric results.

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