Intra-household decision-making, production diversity, and dietary quality: a panel data analysis of Ethiopian rural households

Sariyev, Orkhan; Loos, Tim K.; Khor, Ling Yee

doi:10.1007/s12571-020-01098-9

Cited by 19 publications

(12 citation statements)

References 43 publications

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“…In the same manner, Table 3 shows that the middle wealth group households have 3 times more chance of consuming diverse foods compared to the poorest group (P <0.01). This finding is in line with the study of [34][35][36]. It is intuitive that rich households have better purchasing power to access a variety of foods and also engage in the production of diversified food items.…”

Section: Wealth Indexsupporting

confidence: 88%

Household dietary diversity across regions in Ethiopia: Evidence from Ethiopian socio-economic survey data

Jateno

Alemu²,

Shete

2023

PLoS ONE

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Background Household food and nutrition insecurity continued to be a development and policy agenda in Ethiopia. Assessing the patterns and determinants of household dietary diversity is an important area of research given its importance for policy uptake in the country. This study is, therefore, initiated to identify the dominant food groups consumed by households and to investigate the determinants of household dietary diversity in the country. Method We used data from the 4th wave of the Ethiopian socioeconomic survey. The survey data for this study included 3,115 households living in rural areas (hereafter called ‘rural households’). Household Dietary Diversity Score (HDDS) was calculated and categorized as per the FAO’s recommendation: low HDDS category for those who consume three or less food groups, medium HDDS for those who consume four to six, and high HDDS for those who consume seven and more food groups during the past seven days. Ordinal logistic regression model was employed to estimate the determinants of rural household’s dietary diversity. Results Cereals were the most dominant food group consumed by 96.4% of the households followed by pulses, which was consumed by 82% of the households Nutrition-dense food commodities such as lean meat, vegetables and fruits were the least consumed food groups by households in Ethiopia. In terms of determinants of dietary diversity, female headed households have 38% more chance of consuming diverse foods compared to their male-headed counterparts (AOR = 1.38, 95% CI: 1.10, 1.73). Household heads who completed secondary education and above have 62% more chance of consuming diverse foods compared to uneducated household heads (AOR = 1.62, 95% CI: 1.2, 2.30). Household heads who are single have 37% less chance of consuming diverse foods compared to those household heads who are married (AOR = 0.63, 95% CI: 0.50, 0.80). Those households located in Harari regional state and in the rural surroundings of Diredawa town have 6.56 times more chance of consuming diverse foods compared to those households living in Tigray and Amhara regional states (AOR = 6.56, 95% CI: 4.60, 9.37). The results also highlighted that households who are in the upper wealth category have 9 times more chance of consuming diverse foods compared to those households who are the lower wealth category (AOR = 8.54, 95% CI: 6.79, 11.98).

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Section: Wealth Indexsupporting

confidence: 88%

Household dietary diversity across regions in Ethiopia: Evidence from Ethiopian socio-economic survey data

Jateno

Alemu²,

Shete

2023

PLoS ONE

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“…The much lower average wealth of Ethiopian households (nearly half the average of Vietnamese households), and reliance on subsistence production (consuming on average twice the proportion of household food from own harvest relative to Vietnam) may in part account for the statistically significant associations observed between crop diversity and child diet diversity in Ethiopia. A related study from Ethiopia also found that the association of crop diversity and dietary diversity was most important for the poorest households, as represented by limited non-farm income (64) . Ethiopia's lack of accessible agricultural markets, vulnerability to climate change and limited transportation infrastructure, contributing to widespread poverty among smallholder farmers and high levels of subsistence production, may mean that crop diversification has a greater potential nutritional benefit in this context (40,50) .…”

Section: Effect Modification By Household Wealth and Farm Market Orientationmentioning

confidence: 89%

Crop diversity is associated with higher child diet diversity in Ethiopia, particularly among low-income households, but not in Vietnam

Esaryk

Reynolds

Fernald

et al. 2021

Public Health Nutr.

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Objectives: To examine associations of household crop diversity with school-aged child dietary diversity in Vietnam and Ethiopia and mechanisms underlying these associations. Design: We created a child diet diversity score (DDS) using data on seven food groups consumed in the last 24 h. Generalised estimating equations were used to model associations of household-level crop diversity, measured as a count of crop species richness (CSR) and of plant crop nutritional functional richness (CNFR), with DDS. We examined effect modification by household wealth and subsistence orientation, and mediation by the farm’s market orientation. Setting: Two survey years of longitudinal data from the Young Lives cohort. Participants: Children (aged 5 years in 2006 and 8 years in 2009) from rural farming households in Ethiopia (n 1012) and Vietnam (n 1083). Results: There was a small, positive association between household CNFR and DDS in Ethiopia (CNFR–DDS, β = 0·13; (95 % CI 0·07, 0·19)), but not in Vietnam. Associations of crop diversity and child diet diversity were strongest among poor households in Ethiopia and among subsistence-oriented households in Vietnam. Agricultural earnings positively mediated the crop diversity–diet diversity association in Ethiopia. Discussion: Children from households that are poorer and those that rely more on their own agricultural production for food may benefit most from increased crop diversity.

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“…Both quantitative and descriptive techniques were employed to analyse the data. The women's land-related bargaining power was captured following Sariyev et al (2017) women's participation in decision-making index (WPDMI). PCA was used to generate WPDMI combining 10 land-related decision-making variables capturing key decision domains within a household.…”

Section: Methodsmentioning

confidence: 99%

Rural Women’s Bargaining over Land Ownership: Evidence from Arable Crop Farming Households in Southwest, Nigeria

Adekunle,

Tolorunju,

Oladele

et al. 2024

Journal of Land and Rural Studies

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Studies have shown that women’s stronger rights to productive assets, particularly land, are linked to household overall welfare due to increased female intra-household bargaining power. Through in-depth interviews with 282 rural women in Ogun State, Nigeria, this study examines women’s involvement in land-related decision-making in their households as well as its socioeconomic determinants. This study models the empirical relationship between women’s land-related bargaining power over land. Women’s land-related bargaining power was estimated with principal component analysis (PCA), and Tobit regression model was used for its determinants. It was found that the women’s mean age was 44 years. On average, the household size was six persons. Women have low bargaining power regarding household land-related decision-making, particularly bequeathing land. Farm households’ land endowment shows that married monogamous households hold an average of 2.64 hectares, cohabiting monogamous households hold 1.82 hectares, and polygamous households hold an average of 4.01 hectares. Women in polygamous household types have lower (19 per cent) access to households’ land through marriage compared to their monogamous counterparts with 61 per cent and 44 per cent for both married and cohabiting monogamous households. 78 per cent of the women have low land-related bargaining power. A mean score of 0.19 was estimated for women’s land-related bargaining power. Women’s land-related bargaining power is influenced by their marital status among other factors; the reverse is the case of their husbands, regardless of whether they are monogamous or polygamous.

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Intra-household decision-making, production diversity, and dietary quality: a panel data analysis of Ethiopian rural households

Cited by 19 publications

References 43 publications

Household dietary diversity across regions in Ethiopia: Evidence from Ethiopian socio-economic survey data

Household dietary diversity across regions in Ethiopia: Evidence from Ethiopian socio-economic survey data

Crop diversity is associated with higher child diet diversity in Ethiopia, particularly among low-income households, but not in Vietnam

Rural Women’s Bargaining over Land Ownership: Evidence from Arable Crop Farming Households in Southwest, Nigeria

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