2020
DOI: 10.1016/j.enfcli.2019.10.131
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Effect of household size, working hours, health and income on consumption expenditure of poor household

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Cited by 13 publications
(6 citation statements)
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“…The reason is that households with large family size need more amount of food than those with few family sizes, keeping other factors unchanged. This result contradicts the finding obtained by Siman et al (2020) where it was indicated that the number of household members did not affect the household food expenditure. On the other hand, the positive effect of household size on HDDS revealed by this study appears soundless since large household size is often associated with poverty, especially in rural areas of Ethiopia (Muhammedhussen, 2015;Demissie, 2016), which can deplete the dietary diversity consumption of households.…”
Section: Econometric Resultscontrasting
confidence: 99%
“…The reason is that households with large family size need more amount of food than those with few family sizes, keeping other factors unchanged. This result contradicts the finding obtained by Siman et al (2020) where it was indicated that the number of household members did not affect the household food expenditure. On the other hand, the positive effect of household size on HDDS revealed by this study appears soundless since large household size is often associated with poverty, especially in rural areas of Ethiopia (Muhammedhussen, 2015;Demissie, 2016), which can deplete the dietary diversity consumption of households.…”
Section: Econometric Resultscontrasting
confidence: 99%
“…The reason is that households with a large family size need more food than those with a small family size, all other factors remaining constant. This result contradicts the finding obtained by Siman et al (2020), who indicated that the number of household members did not affect household food expenditure. On the other hand, the positive effect of household size on HDDS revealed by this study appears unlikely, since a large household size is often associated with poverty, especially in the rural areas of Ethiopia (Muhammedhussen 2015;Demissie 2016).…”
Section: Econometric Resultscontrasting
confidence: 99%
“…Income elasticity indicates that cigarette consumption decrease by 2.8% and 3.9%, in the short-run and long-run respectively, to a response of 1% increase in income. This finding is inconsistent with the empirical evidence from other studies on developing economies (see : Cetin, 2017;Siman et al, 2020;Tansel, 1993). However, evidence from develop countries also show a negative relationship of income with the cigarette demand (see: Koffarnus et al, 2015).…”
Section: Resultsmentioning
confidence: 63%