The Effect of Productive Safety Net Programme on Household Food Consumption and Dietary Diversity in Ethiopia

Author(s):  
Mebratu Feyisa

This study empirically investigates the effect of productive safety net programme (PSNP) on household food consumption and dietary diversity in Ethiopia. The study applied random effects with instrumental variable to estimate the effect of PSNP membership. The result of the study indicates that though PSNP membership improves household food consumption, it reduces household dietary diversity score. Household food consumption and dietary diversity are also significantly influenced by sex, age, education status of household head, household size, livestock ownership, distance to the nearest market and participation in non-farm activities. The findings of this study suggest that PSNP membership should be reinforced by building household awareness of the benefits of consuming a variety of foods. In addition, PSNP membership should be designed to endow the households to accumulate essential assets, especially livestock.

2021 ◽  
Author(s):  
Abyiot Teklu ◽  
Belay Simane ◽  
Mintewab Bezabih

Abstract Background: Food insecurity remains a major challenge to smallholder farmers in the face of changing climate in the Upper Blue Nile Highlands of Ethiopia. To improve food and nutrition security of climate change vulnerable smallholder farmers in eastern Ethiopia, several climate-smart agriculture (CSA) innovations have been adopted and scaled-up. However, the impact of these innovations on household food and nutritional security was not systematically studied. This study examined the impact of selected CSA technologies on household food and nutrition security. Cross-sectional data were generated from 424 randomly selected rural smallholder agriculture households in the five selected agroecosystems of the Upper Blue Nile Highlands of Ethiopia. The study employed propensity score matching and endogenous switching regression estimation models. Results: Households that practiced crop residue management had an 8.46 higher Food Consumption Score (FCS) and a 0.4 higher Household Dietary Diversity Score (HDDS) than non-adopters. Similarly, households who adopted compost and agroforestry had a 0.462 and 0.446 higher Household Dietary Diversity Score (HDDS) than non-adopters, respectively. The endogenous switching regression analysis result showed that households that practiced crop residue management had an 22.6 higher Food Consumption Score (FCS) and a 2.2 higher Household Dietary Diversity Score (HDDS) than non-adopters. Similarly, households who adopted physical SWC had a 2.3 higher Food Consumption Score (FCS) than non-adopters. Whereas, compost and agroforestry had a 0.28 and 2.12 higher Household Dietary Diversity Score (HDDS) than non-adopters, respectively. Conclusions: This shows that households adopting CSA innovations are more likely to have higher food security compared to non-adopters. This suggests that promotion and scale-up of CSA innovations in the study area can enhance household food and nutrition security.


2020 ◽  
Vol 12 (5) ◽  
pp. 1851
Author(s):  
Priviledge Cheteni ◽  
Yohane Khamfula ◽  
Gisele Mah

Food security is one of the most severe challenges facing the majority of African countries. The objective of this study was to explore household food dietary diversity and food security in a rural area in the Eastern Cape Province, South Africa. A total of 296 household heads were randomly sampled to participate in the study. The Household Dietary Diversity Score (HDDS) and Household Food Consumption Score (HFCS) were used to identify the consumption patterns of the households and their food security status. Meanwhile, a binary model was used to identify the variables that had an impact on household food security. Findings from the Household Dietary Diversity Score (HDDS) revealed that 61 percent of the households had lower dietary diversity and were consuming at least three food groups, which mainly include pulses, milk, and cereals. The results from the Household Food Consumption Score (HFCS), however, showed that the majority of the households had adequate levels of food consumption. The binary model revealed that age, household income, access to credit, and gender are statistically significant in influencing household food security status in the study area. It can be concluded that household dietary diversity is not guaranteed by food security, as proven by the regression model. Therefore, the government should consider the impact of low income on food security and it should intensify efforts directed at helping rural households to reduce incidences of food insecurity.


2020 ◽  
pp. 1-9
Author(s):  
Satyajit Kundu ◽  
Md. Hasan Al Banna ◽  
Abu Sayeed ◽  
Mst. Sadia Sultana ◽  
Keith Brazendale ◽  
...  

Abstract Objectives: The study aimed to determine the associated factors of household food security (HFS) and household dietary diversity (HDD) during the COVID−19 pandemic in Bangladesh. Design: Both online survey and face-to-face interviews were employed in this cross-sectional study. The Household Food Security Scale and Household Dietary Diversity Score were used to access HFS and HDD, respectively. The HDD scores were derived from a 24-h recall of food intake from 12 groups. Setting: Bangladesh. Participants: A total sample of 1876 households were recruited. Results: The overall mean scores of HFS and HDD were 31·86 (sd 2·52) and 6·22 (sd 5·49), respectively. Being a rural resident, having no formal education, occupation of household head other than government job and low monthly income were potential determinants of lower HFS and HDD. Approximately 45 % and 61 % of Bangladeshi households did not get the same quantity and same type of food, respectively, as they got before the pandemic. Over 10 % of respondents reported that they lost their job or had to close their businesses, and income reduction was reported by over 70 % of household income earners during the COVID-19 pandemic, which in turn was negatively associated with HFS and HDD. Conclusion: Household socio-economic variables and COVID-19 effects on occupation and income are potential predictors of lower HFS and HDD scores. HFS and HDD deserve more attention during this pandemic particularly with reference to low-earning households and the households whose earning persons’ occupation has been negatively impacted during the COVID-19 pandemic.


Author(s):  
Fahima Sumaiya Laskar ◽  
Muntaha Rakib

Dietary diversity is considered crucial for household welfare and also for carrying out other development activities. The emerging interest in household dietary diversity against dietary quantity presents an opportunity to estimate household food security. Based on secondary data, probit regression model was used to estimate the determinants of household dietary diversity in Bangladesh. The result suggests that household size, literacy of household head, total amount of land, married household head, total amount of remittance received and income of household head were major determinants in attainment of high dietary diversity. Government policies and intervention programs targeting the above variables may improve household dietary diversity which in turn may improve household food security.


2008 ◽  
Vol 35 (1) ◽  
pp. 93-98 ◽  
Author(s):  
A. C. Drichoutis ◽  
S. Klonaris ◽  
P. Lazaridis ◽  
R. M. Nayga

2018 ◽  
Vol 10 (9) ◽  
pp. 3307 ◽  
Author(s):  
Primrose Ngema ◽  
Melusi Sibanda ◽  
Lovemore Musemwa

Food security at the household level remains a major issue in South Africa and for many other developing countries, particularly those in Africa. As a means of ensuring food security in KwaZulu-Natal province, various food security intervention programmes were launched. Nonetheless, food security remains an issue among households in the province. This paper estimates the household food security status of the “One Home One Garden” (OHOG) beneficiaries against that of non-beneficiaries and assesses the determinants of household food security status in Maphumulo. A stratified random sampling technique was used to sample 495 households (including 330 OHOG beneficiaries and 165 non-beneficiaries). The status of household food security was estimated by means of a “Household Dietary Diversity Score” (HDDS). Additionally, a Household Food Consumption Score” (HFCS) tool was employed to supplement the HDDS. The results showed that food consumption patterns were characterized by medium (4.89) and average (4.22) HDDS for the OHOG beneficiaries and non-beneficiaries, respectively. Taking HDDS as a proxy for household food security, an independent samples t-test (Levene’s test—equal variances assumed) reveals a significant (p < 0.001) relationship between the sample means of the two groups. A greater proportion (65%) of the OHOG beneficiaries had an acceptable (≥35) HFCS level, whereas just over half (54%) of the non-beneficiaries fell in the borderline (21.5 to 35) HFCS level. The determinants of household food security status were elicited by means of a binary logistic regression model. The results revealed that education (p = 0.036), receiving infrastructural support (irrigation) (p = 0.001), and participation in the OHOG programme (p = 0.000) positively influenced the food security status of households, yet household income (p = 0.000) and access to credit (p = 0.002) showed a negative correlation. This paper proposes that government and developmental agencies, in their efforts to enhance food security through food security intervention programmes, should support households by investing in education and agricultural infrastructure, as well as giving priority to smallholder infrastructural irrigation support for households that largely rely on rain-fed systems.


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