Food Demand and aflatoxin consumption in Malawi
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Transcript of Food Demand and aflatoxin consumption in Malawi
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Food Demand and aflatoxin consumption in Malawi
A Quadratic Almost Ideal Demand System
Brent EdelmanIFPRI
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Presentation outline
• Introduction• Methodology• Results and discussions• Concluding remarks
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Introduction• Aflatoxins and related
mycotoxins are hazardous to human health (Soko, et al., 2014).
• Aflatoxins, a metabolite of Aspergillus spp., cause cancer, gene mutation and reduce immunity (Murphy et al., 2006).
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Introduction
• Aflatoxin build up in crop outputs is mainly caused by keeping produce in damp areas, pest infestation, improper drying and poor handling techniques.
• Aflatoxins may build up as the crop is still in the field (Nkoka, 2007).
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Introduction
• Considering that the poor consume lower quality foods aflatoxin consumption among them might be high (Monyo, et al. 2010).
• Aflatoxin consumption poses significant threats on household food and health budgets and overall economic growth.
• Aflatoxin and mycotoxin related cancers have also been rising in Malawi (Matumba et al. 2015). 28% of liver cancer cases.
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Introduction
• High prevalence of mycotoxins in developing countries calls for deliberate policies that demand good understanding of its impacts pharmaceutically and economically.
• However, there is no evidence of the relationship between income distribution and aflatoxin consumption.
• Some work has been done on the pharmaceutical impacts (Matumba et al. 2014; Monyo et al. 2010).
• Little research has been conducted to examine the economic impacts especially with regard to aflatoxins that are most prevalent in an average diet.
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Introduction
• The study uses nationally representative cross section data to come up with a demand system for food and assess aflatoxin consumption in diets of Malawians.
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Methodology
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Stage 1: Pharmaceutical analysis
• A meta-analysis on data of AF (AFB1, AFB2, AFG1 and AFG2) levels in maize, groundnuts and derived products analysed in Chitedze Mycotoxin lab.
• Obtain data using immunoaffinity column clean-up plus high performance liquid chromatography and on-line post-column photochemical derivatization-fluorescence detection.
• ANOVA was used to compare means (α=0.05).
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Stage 2: Economic analysis
• Used means from Stage 1 and mapped them 1:1 on IHS3 data using agro-ecological zones.
• Translate the maize and groundnut quantities to aflatoxin consumed per capita.
• Calculated a household food budget.• Derived budget shares as a percentage of the budget.• Used median prices and fit an Almost Ideal Demand
System using quadratic Engel curves.• Calculate price, expenditure and aflatoxin elasticities
of demand.
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Commodities under consideration
Maize u
fa mad
eya (
maize b
ran)
Maize g
rain (n
ot as u
fa)
Groundnut flour (N
sinjiro
)
Green m
aize
Groundnut grai
n
Maize U
fa woye
ra (Refi
ned flour)
Maize U
fa wa m
gaiw
a (Norm
al flour)
0600
12001800
Consumption per capita
Commodities
cons
umpti
on in
gra
ms
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Commodities as shares of the food budget
Maize
grain (n
ot as u
fa)
Sorg
hum (mapira
)
Maize
ufa madeya
(bra
n flour)
Green m
aize
Groundnut fl
our
Groundnut
Fruits
Alcohol a
nd bevera
ges
Maize
ufa refined (fi
ne flour)
Vegetables
Other staples
Confectionarie
s and co
ndiments
Meat p
roducts
Maize
ufa mgaiw
a (norm
al flour)
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
Food as a shares of the food budget
Budg
et s
hare
s
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Aflatoxin consumption in groundnuts
Kasungu
Salim
a
Lilongw
e
Mzu
zu
Blantyr
e
Karonga
Mac
hinga
Shire
Valley
0
0.02
0.04
0.06
0.08
0.1
0.12
0.14
0.16
0.18
Agricultural Development Divisions
Aflat
oxin
s in
μg p
er g
ram
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Aflatoxin consumption in Maize
Kasungu
Mzuzu
Lilongwe
Blantyre
Salim
a
Machinga
Shire
valle
y
Karonga0
0.51
1.52
2.53
3.54
Afla
toxi
n qu
antiti
es in
μg
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Price elasticities of demand for food
Maize g/nuts fruits meat vege alcoh condiMaize -0.965 0.099 0.002 0.241 0.305 0.048 0.039g/nuts 0.838 -1.363 -0.06 -1.765 -0.58 1.148 -0.218Fruits 0.248 -1.517 -2.32 -2.665 -1.409 -2.81 1.189Meat -0.203 0.352 0.017 -0.069 -1.616 -0.305 0.178Vege -0.138 0.439 0.031 -0.051 -0.341 -0.655 0.338alcoh -0.818 1.155 0.014 4.023 1.602 -2.649 -1.126Condi 1.102 0.041 0.247 -0.214 3.059 -14.425 -0.071
Expenditure 0.544 0.897 0.525 0.911 0.634 5.16 5.261
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Aflatoxin price elasticities
Maize g/nuts
Mgaiwa -0.4825 0.0495
Woyera -0.2235 0.1275
Madeya 0.312 -0.5675
g/nuts 0.419 -0.6815
Maize 1.3795 -3.249
Households are mostly able to adjust their consumption patterns through substitution of high-priced foods, so that the effects of moderate short-term food price variations on aflatoxin consumption are relatively small.
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Concluding remarks
• Results generally indicate that poor households consume higher levels of aflatoxins.
• Furthermore, simulations indicate that income changes have a lasting effect on aflatoxin consumption.
• The study therefore recommends demand side approaches to curbing aflatoxins should be used in complementing supply side interventions.
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Acknowledgements
• We acknowledge funding from PACA-AU.• Expertise from Chitedze research station – Dr
Limbikani Matumba• The LUANAR team that supported the analysis.• All errors and/or omissions are the authors and
do not reflect views of PACA, LUANAR or Chitedze Research Station