Eating more sustainably by trimming off the excess—what about discretionary foods?
Michalis Hadjikakou Sustainability Assessment Program, Water Research Centre University of New South Wales Sydney, Australia ISEE 2016, Washington D.C., 27 June 2016
Eating more sustainably by trimming off the excess what about - - PowerPoint PPT Presentation
Eating more sustainably by trimming off the excess what about discretionary foods? Michalis Hadjikakou Sustainability Assessment Program, Water Research Centre University of New South Wales Sydney, Australia ISEE 2016, Washington D.C., 27
Eating more sustainably by trimming off the excess—what about discretionary foods?
Michalis Hadjikakou Sustainability Assessment Program, Water Research Centre University of New South Wales Sydney, Australia ISEE 2016, Washington D.C., 27 June 2016
impact (Goodland, 1997; White, 2000)
a health perspective (see SDGs)
(Netherlands, Sweden, Brazil, USA)
equity – concept of planetary health (Whitmee et al., 2015)
max (nutrition) (Gephart et al., 2016; Stigler, 1945; Wilson et al., 2013)
LEAST COST LEAST ENVIRONMENT IMPACT BEST NUTRITION
non-essential expenditure (Druckman and Jackson, 2010)
discretionary and non-discretionary foods (ABS, 2014)
especially amongst low income groups (Fayet-Moore et al., 2016; Watson et al., 2016)
environmental impact could be significant:
(Hendrie et al., 2014)
Kanyama et al., 2003)
2006)
allows more rigorous assessment
environmental impacts across different socioeconomic groups
Environmental ‘foodprints’ (impact per $) Dietary composition (kJ, g) Household food expenditure ($)
ABS HES 2009-10 126 food & beverage items EEIO-LCA indicators Carbon footprint Ecological footprint Water footprint Energy footprint Source: Eora MRIO 78 agri-food sectors ABS NNPAS 2010-12 117 food & beverage items SOCIOECONOMIC DIMENSION
discretionary food lists
impacts
5 10 15 20 25 30
Weekly expenditure (2010 US$)
Non-discretionary Discretionary
35% 39% 35% 33%
0% 10% 20% 30% 40% 50% 60% 70%
Water Life cycle energy Ecological Footprint CO2-e Environmental impact share
0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45
Water Life cycle energy Ecological Footprint CO2-e Environmental impact share
ALC BEV MEAT CON BAKE DAIRY ALL OTHER
Hadjikakou, M. (in review) Trimming the excess: environmental impacts of discretionary foods and sustainability consumption in Australia
environmental impacts
alcohol dominate
5 10 15 20 25 30
Weekly expenditure (2010 US$)
Expenditure
Non-discretionary Discretionary Hadjikakou, M. (in review) Trimming the excess: environmental impacts of discretionary foods and sustainability consumption in Australia
500 1000 1500 2000 2500
Energy intake (kJ/cap/day)
Food energy intake (kJ)
Non-discretionary Discretionary
Assuming this can be reduced through elimination of discretionary foods…. Total water footprint = -14% Total energy footprint = -16% Total ecological footprint = -14% Total carbon footprint = -13% Plus further substitutions… Total energy intake = 10 006 kJ/cap/day Average recommended = 8700 kJ/cap/day Excess intake = 1306 kJ/cap/day Only about 325 calories!
impacts
to lower environmental impacts
adequately tackle this issue
provides a more nuanced health-driven conceptual framework
by re-emphasising non-discretionary food provision
approach (Hoek et al., 2014)
consumption of discretionary foods
in the developing world
principles (Daly, 2007; Jackson, 2009)
Hadjikakou, M. & Wiedmann, T. (in press) Shortcomings of a growth-driven food system in Handbook on Growth and Sustainability, eds. P. Victor & B. Dolter, Edward Elgar Publishing, Cheltenham, UK
Hadjikakou, M. (in review) Trimming the excess: environmental impacts of discretionary foods and sustainability consumption in Australia
35% 36.3% 36.8% 35.9% 34% 34% 38.2% 38.6% 36.2% 38.4% 32.6%
35.4%
7730kJ 8207kJ 8521kJ 8752kJ 9056kJ 8527kJ 8513kJ 8636kJ 9955kJ 7334kJ 7420kJ
8522kJ
1000 2000 3000 4000 5000 6000 7000 8000 9000 10000 Lowest income quintile 2nd income quintile 3rd income quintile 4th income quintile Highest income quintile Capital cities Other cities & rural areas Boys (aged 2-18) Men (aged 19+) Girls (aged 2-18) Women (aged 19+) Average
Mean daily dietary energy intake (kJ) Discretionary energy Non-discretionary energy
Hadjikakou, M. (in review) Trimming the excess: environmental impacts of discretionary foods and sustainability consumption in Australia
500 1000 1500 2000 ALC BAKE BEV CER CON DAIRY EGG FATS FISH FRUIT MEAT OTHER VEG
Energy (kJ)
Type Non-discretionary Discretionary
(a) Lowest income quintile
500 1000 1500 2000 ALC BAKE BEV CER CON DAIRY EGG FATS FISH FRUIT MEAT OTHER VEG
Energy (kJ)
Type Non-discretionary Discretionary
(c) Third income quintile
500 1000 1500 2000 ALC BAKE BEV CER CON DAIRY EGG FATS FISH FRUIT MEAT OTHER VEG
Energy (kJ)
Type Non-discretionary Discretionary
(e) Highest income quintile
500 1000 1500 2000 ALC BAKE BEV CER CON DAIRY EGG FATS FISH FRUIT MEAT OTHER VEG
Energy (kJ)
Type Non-discretionary Discretionary
(b) Second income quintile
500 1000 1500 2000 ALC BAKE BEV CER CON DAIRY EGG FATS FISH FRUIT MEAT OTHER VEG
Energy (kJ)
Type Non-discretionary Discretionary
(d) Fourth income quintile
500 1000 1500 2000 ALC BAKE BEV CER CON DAIRY EGG FATS FISH FRUIT MEAT OTHER VEG
Energy (kJ)
Type Non-discretionary Discretionary
(f) Average
Hadjikakou, M. (in review) Trimming the excess: environmental impacts of discretionary foods and sustainability consumption in Australia
50 100 150 200 250 300
Blue water footprint (L)
Non-discretionary Discretionary
20 40 60 80 100 120
Embedded energy (MJ)
Non-discretionary Discretionary
0.002 0.004 0.006 0.008 0.01 0.012 0.014
Ecologifal footprint (gha)
Non-discretionary Discretionary
10 20 30 40 50 60 70
Carbon footprint (kg CO2-e)
Non-discretionary Discretionary
(Colagiuri et al., 2010)
poorer socioeconomic groups (Dixon and Isaacs, 2013)
‘productionist’ National Food Plan (Caraher, 2013; Trevena et al., 2014)
can be unsustainable if everyone was eating that way
population) (Lea et al., 2006; Ruby, 2012)
Environmental status Dietary composition (kJ, g, nutrients) Health status Household Food expenditure ($)
‘Foodprint’ indicators
IElab as the hub for research on diets, health and sustainability
IElab – IOPC (1284 X 1284) (economic & environmental data) ABS NNPAS – 117 food & beverage items (quantity/nutrition data) Mosaic/ABS HES –126 food & beverage items (monetary data) Nutrition-oriented 72 X 72
FD ($)
NSW VIC QLD SA WA TAS NT ACT
Agri-food 198 X 198 Eora MRIO (344 X 344) (RoW and more extensions)
AUS RoW
Quantity Energy Nutrients
SPATIAL & SOCIOECONOMIC DIMENSION SPATIAL & SOCIOECONOMIC DIMENSION
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