Rural Sudanese household food consumption patterns

Elzaki, Raga; Şişman, Muhammet Yunus; Al-Mahish, Mohammed

doi:10.1016/j.jssas.2020.11.004

Cited by 10 publications

(6 citation statements)

References 44 publications

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“…Meat, vegetables, beverages, cereals, wheat, rice, oil & fats, tea, condiments and baked products having expenditures elasticities of 0.512, 0.950, 0.807, 0.935, 0.723, 0.737, 0.874, 0.836 and 0.825 respectively can be regarded as necessities. Our results are in contrast with A. M. Ibrahim, R. Elzaki, M. Y. Sisman and A. M. Mahish(Ibrahim, 2018;Elzaki, Sisman and Mahish, 2021) who reported income elastic demand for meat group. Similarly the studies conducted by A. V. Zamora, R. García-…”

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confidence: 99%

Potential impact of food inflation on households’ welfare: Evidence from Pakistan

Ullah,

Uçak

2023

SUJES

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The global food price crises of 2007–2008 and the recent resurgence of food inflation have gained attention of the researchers about the causes and consequences of this volatility in food prices around the globe. This paper aims to examine the potential impact of food inflation on households’ welfare in Pakistan. For this purpose, the authors used a flexible Linear Approximate Almost Ideal demand System (LA/AIDS) to estimate the food demand pattern using the recently available Household Integrated Economic Survey of Pakistan for the year 2018–2019. Food products were categorized into thirteen food groups including milk, meat, fruits, vegetables, sugar, beverages, cereals, wheat, rice, oil & fats, tea, condiments and baked products. The estimated model was used to simulate different price increase scenarios in each of the currently own price. We found out that the estimated loss in the consumption was consistently high for milk, sugar, cereals, rice, wheat, meat and oil & fats. The issue of limited diversity in the dietary pattern and persistently food inflation will result in alarming food security in the country. The Effect of an increase in the general price level on food consumption could only be reduced by enhancing households’ purchasing power in the current scenario. The outcome of this research study will help policymakers in the agriculture sector to develop reliable and sound policy designs that will help control the implications of food inflation on household welfare loss.

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confidence: 99%

Potential impact of food inflation on households’ welfare: Evidence from Pakistan

Ullah,

Uçak

2023

SUJES

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“…The parameter estimate for vegetables & fruit expenditure is insignificant, but the quadratic estimate expenditure of them is significant at the 5% level. In several other studies (Gershon et al, 2020), (Mittal, 2010), (Elzaki et al, 2021), which also used the QUAIDS model, generally, not all the estimated parameters had a significant effect. The R2 values generated from this QUAIDS model range from 0.138 to 0.509.…”

Section: Parameter Estimatesmentioning

confidence: 87%

“…It suggests that animal food is a luxury good for people living in rural areas. Previous research has stated that meat is classified as a luxury item and is very sensitive to changes in prices and income (Bett et al, 2012;Sheng et al, 2019;Elzaki et al, 2021). On the other side, demand for staple food is least responsive to expenditure in Bengkulu rural area.…”

Section: Elasticitiesmentioning

confidence: 99%

Rural Household Food Consumption in Bengkulu, Indonesia: Estimating a Demand System Based on SUSENAS Microdata

N.¹,

Matsuda²

2022

JAS

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The paper aims to estimate the food demand of rural households in Bengkulu Province, Indonesia, using the Quadratic Almost Ideal Demand System (QUAIDS) and microdata from the SUSENAS. We aggregate food into five groups: staple food, animal food, vegetables & fruits, prepared food, and other food. The results show that demand for animal food is the most sensitive to food expenditure, whereas the demand for staple food is the most expenditure-inelastic. Staple food, animal food, vegetables & fruits, and other food are substitutes for each other. On the other hand, prepared food and staple food complement each other. Other food is the easiest to be substituted, and staple food is the most difficult to be substituted. The demographic variables, as well as prices and expenditures, impact household demand. For example, as family size increases, the demand for staple food increases, while the demand for animal food, vegetables & fruits decreases. The number of children under five years old has a positive impact on animal food demand but a negative impact on staple food and other food demand. Staple farmer households have a higher need for staple food than non-agricultural households. Due to being unmarried, divorced or bereaved, single households have a lower demand for staple food but a higher demand for prepared food. We mainly imply that the food price stabilization policy should emphasize animal food, especially beef and poultry, without increasing prices.

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“…Concerning education, higher educated individuals may consume more healthy foods because they have a better understanding of healthy eating habits than those who have only completed primary and secondary school [ 5 , 50 ]. In Sudan, the more educated households spend more on cereal consumption than illiterate households [ 51 ]. Consumption of fruits and vegetables was significantly increased for those who had attained higher education compared to those with primary education in Portuguese adults [ 52 ].…”

Section: Discussionmentioning

confidence: 99%

Food consumption patterns in employees of Ethiopian institute of agricultural research

Jalata

Mekonnen

Taddese

et al. 2023

Heliyon

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Rural Sudanese household food consumption patterns

Cited by 10 publications

References 44 publications

Potential impact of food inflation on households’ welfare: Evidence from Pakistan

Potential impact of food inflation on households’ welfare: Evidence from Pakistan

Rural Household Food Consumption in Bengkulu, Indonesia: Estimating a Demand System Based on SUSENAS Microdata

Food consumption patterns in employees of Ethiopian institute of agricultural research

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