2014
DOI: 10.1007/s12571-013-0318-0
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Does monetary poverty reflect caloric intake?

Abstract: The use of expenditure surveys to measure food insecurity is widely discussed. In this study, we investigate food insecurity in terms of monetary poverty. Using a Malian survey that incorporates exceptionally detailed information on food consumption, we estimate that 35 % of the households are in a paradoxical situation, some poor households managing to cover their caloric requirements by eating cheap calories and some non-poor households not doing so because they consume expensive calories and/or face constra… Show more

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Cited by 9 publications
(7 citation statements)
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References 27 publications
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“…The findings of Sanjuan and Dawson (2004) and Bocoum et al (2014) support the Engel curve hypothesis within the context of Bangladesh and Mali respectively. First, Engel curve hypothesis argues that calorie consumption is determined by the level of income.…”
Section: Introductionsupporting
confidence: 65%
See 1 more Smart Citation
“…The findings of Sanjuan and Dawson (2004) and Bocoum et al (2014) support the Engel curve hypothesis within the context of Bangladesh and Mali respectively. First, Engel curve hypothesis argues that calorie consumption is determined by the level of income.…”
Section: Introductionsupporting
confidence: 65%
“…Second, advocates of the efficiency wage hypothesis maintain that income is determined by calorie consumption: higher wages allow workers to consume more calories, so they become healthier and more productive. The findings of Sanjuan and Dawson (2004) and Bocoum et al (2014) support the Engel curve hypothesis within the context of Bangladesh and Mali respectively. Dawson and Sanjuan (2011) provided the evidence supporting both the Engel curve and efficiency wage hypotheses for 41 developing countries.…”
Section: Introductionsupporting
confidence: 65%
“…Bocoum, Dury, Egg, Herrera, and Prevel (2014) examined food insecurity with regard to monetary poverty. Utilizing a Malian review exceptionally detailed information on food consumption, we estimate that 35% of the households are in a paradoxical situation, some poor households managing their caloric requirements by eating cheap calories and some nonpoor households not doing so because they consume expensive calories and/or face constraints such as the obligation to share meals with visitors and high-expenditure on health care or transportation.…”
Section: Poverty Variablesmentioning
confidence: 99%
“…They recommend an advance analysis to recognize not just the variables connected with households living in poverty but a subjective way to deal with developing an Inuit point of view. The two instruments are fundamental for educated groups to battle against monetary poverty (Bocoum et al, 2014).…”
Section: Poverty Variablesmentioning
confidence: 99%
“…, 2014;Sinyolo et al, 2014;Bocoum et al, 2014;., 2019; Key explanatory variables TA Percentage of technology adoption of i th household Continuous + Wossen et al, 2017; s Anderson and Feder, 2007; Wossen et al, 201 Lincome Last month household income in TK Continuous + Hansen and Duveskog (2012); Maltitz et al,2021; Babatunde el al., 2007 ICT 1 if farmers access any service like mobile, internet/computer/radio/TV and zero otherwise. + Adeyeye et al, • 2019 ; Achandi and Kidane 2019…”
mentioning
confidence: 99%