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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


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SLIDE 1

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

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SLIDE 2
  • 1. Diets and sustainability
  • Well-established link between diets and environmental

impact (Goodland, 1997; White, 2000)

  • Current consumption patterns also unsustainable from

a health perspective (see SDGs)

  • Environmental concerns in national dietary guidelines

(Netherlands, Sweden, Brazil, USA)

  • Implications for food security and inter-generational

equity – concept of planetary health (Whitmee et al., 2015)

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SLIDE 3
  • 2. Optimising diets for health & environment
  • Optimising for min (cost, environmental impact) and

max (nutrition) (Gephart et al., 2016; Stigler, 1945; Wilson et al., 2013)

  • Animal protein comes at a high environmental cost
  • BUT often complex and unrealistic recommendations
  • Can we make this simpler?

LEAST COST LEAST ENVIRONMENT IMPACT BEST NUTRITION

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SLIDE 4
  • 3. Discretionary foods
  • Concept of discretionary consumption in economics –

non-essential expenditure (Druckman and Jackson, 2010)

  • Australian Dietary Guidelines distinguish between

discretionary and non-discretionary foods (ABS, 2014)

  • Overconsumption of discretionary foods in Australia,

especially amongst low income groups (Fayet-Moore et al., 2016; Watson et al., 2016)

  • What are their environmental impacts?
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SLIDE 5
  • 4. Environmental impacts of discretionary foods
  • Limited existing research but some evidence that the

environmental impact could be significant:

  • Non-core foods - 27% of diet-related carbon emissions

(Hendrie et al., 2014)

  • Sweets and snacks - 1/3 of life cycle energy (Carlsson-

Kanyama et al., 2003)

  • Significant ‘luxus consumption’ in the US (Blair and Sobal,

2006)

  • Discretionary versus non-discretionary classification

allows more rigorous assessment

  • BUT no comprehensive study looking at multiple

environmental impacts across different socioeconomic groups

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SLIDE 6
  • 5. Data and methods

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

  • 1. Discretionary vs. non-

discretionary food lists

  • 2. Environmental

impacts

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SLIDE 7
  • 6. Results – average discretionary food impacts

5 10 15 20 25 30

Weekly expenditure (2010 US$)

  • a. Expenditure

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

  • b. Environmental impacts

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

  • c. Discretionary food environmental impacts

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

  • Discretionary foods have significant

environmental impacts

  • Processed meats, confectionery and

alcohol dominate

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SLIDE 8
  • 7. Results – less discretionary food impacts

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!

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SLIDE 9
  • 8. Discussion points
  • Discretionary foods have significant environmental

impacts

  • Substitution with non-discretionary foods usually leads

to lower environmental impacts

  • ‘Food optimisation’ studies useful but do not

adequately tackle this issue

  • Discretionary versus non-discretionary argument

provides a more nuanced health-driven conceptual framework

  • Challenges current modus operandi of the food system

by re-emphasising non-discretionary food provision

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  • 9. Implications and future research
  • Less meat plus less discretionary foods - health stealth

approach (Hoek et al., 2014)

  • Modelling consequences of reduced production and

consumption of discretionary foods

  • Need to stop these trends fully manifesting themselves

in the developing world

  • Combination of short-term and longer-term solutions
  • Reconsider the role of the food industry
  • Issue fundamentally linked to ecological economics

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

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SLIDE 11

THE END

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SLIDE 12

Hadjikakou, M. (in review) Trimming the excess: environmental impacts of discretionary foods and sustainability consumption in Australia

Appendix – dietary energy intake across income quintiles

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

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Hadjikakou, M. (in review) Trimming the excess: environmental impacts of discretionary foods and sustainability consumption in Australia

Appendix – dietary energy intake across income quintiles

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

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SLIDE 14

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)

  • a. Blue Water

Non-discretionary Discretionary

20 40 60 80 100 120

Embedded energy (MJ)

  • b. Total Energy

Non-discretionary Discretionary

0.002 0.004 0.006 0.008 0.01 0.012 0.014

Ecologifal footprint (gha)

  • c. Ecological Footprint

Non-discretionary Discretionary

10 20 30 40 50 60 70

Carbon footprint (kg CO2-e)

  • d. CO2-e

Non-discretionary Discretionary

Appendix – average discretionary food impacts

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SLIDE 15

Australian context

  • Overweight and obesity now at 63% (AIHW, 2012)
  • Direct costs of diet-related disease at $21bn a year

(Colagiuri et al., 2010)

  • Overconsumption of processed foods, especially by

poorer socioeconomic groups (Dixon and Isaacs, 2013)

  • Health and sustainability not compatible with

‘productionist’ National Food Plan (Caraher, 2013; Trevena et al., 2014)

  • Unhealthy diets can be sustainable and healthy diets

can be unsustainable if everyone was eating that way

  • Vegetarian and vegan diets still uncommon (1-2% of

population) (Lea et al., 2006; Ruby, 2012)

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SLIDE 16

Motivation - Current AAS project

AIM : Can everyone eat healthily AND sustainably?

  • Avoiding burden shifting
  • Account for spatial and socioeconomic diversity
  • Develop ‘foodprint’ indicators
  • Develop bespoke dietary recommendations
  • Test recommendations and develop scenarios
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SLIDE 17

Methods and datasets

Environmental status Dietary composition (kJ, g, nutrients) Health status Household Food expenditure ($)

  • ABS HES 2009-10
  • MOSAIC consumer data
  • ‘Foodprints’ (EE-MRIO)
  • Carbon
  • Ecological
  • Water
  • ABS AHS 2010-12
  • BMI
  • Chronic disease
  • ABS NNPAS 2010-12
  • Diet Quality Index

‘Foodprint’ indicators

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SLIDE 18

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

C C C C

FD ($)

C

NSW VIC QLD SA WA TAS NT ACT

Agri-food 198 X 198 Eora MRIO (344 X 344) (RoW and more extensions)

AUS RoW

C

Quantity Energy Nutrients

SPATIAL & SOCIOECONOMIC DIMENSION SPATIAL & SOCIOECONOMIC DIMENSION

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