global initiative on food loss and waste reduction robert van otterdijk
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Global Initiative onFood Loss and Waste Reduction
Robert van Otterdijk
Introduction
Global Food Loss and Food Waste
1 / 3
1.3 billion ton( 1 300 000 000 000 kg )
Global Initiative on Food Losses andWaste Reduction – SAVE FOOD
1 Increased awareness on the impact of, and solutions for food loss and waste.
2 Collaboration and coordination of world-wide initiatives on food loss and waste reduction.
3 Research for Policy, strategy and programme development for food loss and waste reduction.
4 Support to investment programmes and projects, implemented by private and public sectors.
Multi-Stakeholder Project – USD 52 million – 5 years
A new strategy for food loss reduction
Strategies for reducing food losses are being adjusted.
Reasons:
- growing influence of private sector led enterprises
- global market integration
- urbanization
- growing south-south food trade
- ‘lengthening’ of food chains.
A new strategy for food loss reduction
Supply chain approach - Viable business case
Sustainability of food supply chains
Feasibility / effectiveness of interventions:- technically
- economically- nutritionally, food security-wise
- environmentally- socially and culturally
Global Initiative on Food Losses andWaste Reduction – SAVE FOOD
THE KNOWLEDGE GAP
Magnitude of food losses in food supply chains
Impact and feasibility of solutions
Beneficial effect of food loss reduction
Importance of different causes
Causes of food losses in food supply chains
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
1 - Selection of countries and subsectors
- Existing and on-going programmes- Collaboration with partners
Methodology for the Case Studies in the Field
Selected so far in Africa:
• Kenya: maize, banana, dairy, fish• Uganda: maize, oilseeds, beans• Cameroon: tomato, cassava, potato• Rwanda: maize, tomato, potato, milk
Selected so far in Asia:
• India: rice, beans, milk, fish• Indonesia: tbd
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
Methodology for the Case Studies in the Field
2 Identification of Consultants
- Subsector Specialist, actor in the food supply chain- Agricultural Economist
3 Selection of Food Supply Chains
- Based on smallholder producers- Significant scale of food production- Preferably including agro-processing and urban market
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
4 Uniform Methodology
- Preliminary Screening of Food Losses (‘Screening’).
- Survey Food Loss Assessment (‘Survey’).- Load Tracking and Sampling Assessment (‘Sampling’).- Monitoring and Solution Finding (‘Synthesis’).
- Multi-stakeholder validation workshop- Food Loss Reduction Strategy- Investment program to reduce food losses
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
Methodology for the Case Studies in the Field
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
B A N A N A
Murang'a, Kirinyaga, Meru, Kisii CountiesAugust – October 2012
Josephine Natecho SimiyuJames Paul Kamau NjuguHorticultural Crops Development Authority
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
B A N A N A
The banana subsector
NATIONALfrom small scale producers
390,000
Volume ton/yr Value $/year
Plantain (Cooking Banana) 781,000 154 million
Dessert (Ripening Banana) 520,000 117 million
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
B A N A N AThe dessert banana supply chain
Retail (Kiosk, hawkers, supermarkets, institutions)
Harvesting
Bulking by Wholesaler
De-handing
Grading
Packaging
Ripening
De-handing
Ripening
Storage
Cleaning
Transport with pick up or closed truck
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
B A N A N AThe plantain banana supply chain
Harvesting
Bulking by Wholesaler
De-handing
PackagingStorage
De-handing
Consumer
Retailer (Kiosk, institutions) and processors Retailer (Supermarkets)
Sorting and grading
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
B A N A N A
Point in the FSCQuality
reduction (%)
Quantitative loss (%) causes
% handled
% losses
% of weighed
losses
Transportation 10 Handling, overloading
Ripening 20 Temperature, oxygen
Storage 10
wholesalers 5 100 3 3 Rough handling, temperature
hawkers 40 7.5 3 temperature
streetside vendors 30 10 3 temperature
kiosks 20 8 1.6 temperature
supermarkets 10 10 6 0.6 Rough handling
Total 11.2
Quantitative and qualitative losses occurring in the dessert banana supply chain
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
B A N A N AQuantitative and qualitative losses occurring in the plantain banana supply chain
Point in the FSCQuality
reduction (%)
Quantitative loss (%) causes
% handled
% losses
% of weighed losses
Transportation 30 Handling, overloading
wholesalers 10 100 0.2 0.2 Rough handling, temperature
streetside vendors 20 45 4 1.8 temperature
kiosks 20 50 5 2.5 temperature
supermarkets 10 5 2 0.1 Rough handling
Total 4.6
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
B A N A N ASolutions to food lossesCritical Loss Point Economic loss
(USD)Intervention to reduce
lossesLoss
reduction % / USDCost of
intervention (USD)
Transportation 13,000,000 Training of Trainers 40%5,200,000 158,000
Retail of dessert banana at street sides and kiosks
460
Cooler boxes mounted with umbrella shades
50%230 120
4,600,000 50%
2,300,000 1,200,000
Bulking at road side 2,600,000 Collection sheds 1,300,000 610,000
Handling of dessert banana at wholesale market
3,100,000Construction of pre-cooling facilities at the main wholesale markets.
50%1,500,000 6,000,000
Ripening of dessert banana 20,500,000 Construction of ripening
chambers.50%
10,300,000 11,200,000
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
B A N A N AFood loss reduction strategy
1. Training / capacity building, to add on social capital, especially for traders, processors, wholesalers, retailers. Strengthen the supply chains downstream (post-farm)
2. Shorter supply chains. Minimise handling of produce in storage and distribution systems,, Mobilisation of farmers to form marketing organisations through which traders can directly access their produce.
3. Value-added processing by specialized processing enterprises, and market development, for diversified and value-added banana products
4. Postharvest pest/ disease management plan
5. Technology, structures and equipment, at trader and wholesale level
6. National banana policy
7. Monitoring mechanism to estimate food losses
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
M A I Z E
Trans-Nzoia-West and Lugari DistrictsNovember 2012 - January 2013
Zachariah Mairura KiyondiEmily OsenaAbraham BarnoMinistry of Agriculture
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
M A I Z E The maize subsector
Volumeton/year
ValueUSD/year
Raw material dry maize 3.4 million 1 billion
Maize grain 628,000 247 million
Green maize on cob 419,600 84 million
Whole meal - formal 374,000 119 million
Whole meal - posho 1.1 million 582 million
Sifted maize meal 300,000 177 million
Imports 360,000 132 million
Export 12,000 5 million
5 million small scale producers
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
M A I Z E The maize supply chainFarming
Harvestingcutting, stooking, dehusking
Shelling
Drying
Storage
Salesto village traders/
consolidators
Salesto urban traders
Salesto rural households
Fumigation, Storageat NCPB
Retailkiosk/ dukas/ market
Millingmedium/ large millers
MillingPosho millers
Retailsupermarkets
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
M A I Z E
Critical Loss Point Product % lossLugari
% lossTrans Nzoia
Causes Solutions
Harvesting Maize on cobs 3.3 1.0 Left-overs,
shatteringTraining,
changing attitude
Shelling Grain 1.6 - 3.2 0.4 - 2.0 Spillage, left on cob
Training, changing attitude
Drying on farm Grain 3.0 Insufficient drying Mechanical drying,Mobile grain dryers
Storage: weevil damage Grain 8.0 10.7 Packaging, protection
Insecticides, Small metal silos
Storage: discolorationQualitative loss Grain 8.8 8.5 Temperature
humidity Conditioned storage
Posho milling Whole meal flour 3.5 Spillage,
contaminationGood Manufacturing
Practices
Critical loss points in the maize supply chain
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
M A I Z E Critical loss points in the maize supply chain
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
M A I Z E Low loss points in the maize supply chain
Low Loss Point Product % lossLugari
% lossTrans Nzoia Good Practice
Formal milling Sifted flour - 1.0 Profit driven systems
Transportation and marketing Grain 0.03 - Appropriate transport, profit
driven actions
Trader (rotten grains) Grain 0.4 - Commercial orientation
Trader (spillage) Grain 0.1 - Commercial orientation
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
M A I Z E Food loss reduction strategy
1. Awareness raising combined with training and organization of smallholders
2. Value chain development and organization
3. Centralisation and contract services.
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
M I L K
Embu - Meru - Nyeri - Nakuru - Uasin Gishu - Kisumu - Kericho CountiesNovember – December 2012
Hezekiah G. MuriukiJoyce M. Kiio-Mutua
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
M I L K
National production Volumeton/year
ValueUSD/year
Raw milk - all animals 5.2 million 1530 million
Raw milk – dairy cattle (3.4 million) 2.5 million
Raw milk – zebu (14 million) 640,000
Domestic milk products in 2011marketed through formal channels
Volumeton/year
ValueUSD/year
Fresh pasteurized milk 373,000 307 million
UHT white milk 84,000 178 million
Cultured milk 38,400 59 million
Yoghurt 36,800 113 million
UHT Flavoured milk 14,800 31 million
Powder milk 1,200 6 million
Cheese 54 508,000
The milk subsector
95% by 1.8 million small scale dairy farmers
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
M I L KThe milk supply chainMilkingevening milk
Storage
Transportationto collection point
Mixing
Milkingmorning milk
Grading
Grading
Transportationto milk bar / shop / hotel
Cooling / Storage Retail sales
Transportationto Collection Centre
Salesto trader
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
M I L K
Supply chain actors
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
M I L KQuantitative losses in the dairy cattle milk supply chainStage in the supply chain % loss % handled Weighed losses %
Causes
Milking and storageon-farm 6.0 95 5.7 Mainly spoilage of evening milk
Family consumption - 35 0
Community supply - 17 0 Negligible spillage due to very short supply chain
Trader collection centres 1.5 40 0.6 No cooling facility
Co-op/ SHG 0.6 30 0.2 Aluminium milk containers and cooling facility
Traders/ Hawkers 0.9 10 0.1 Transport 50 – 300 ltr of milk per day on motorbikes
At milk bars and others 2.0 28 0.6 With milk cooling system, but expensive and unreliable power
Processors’ collection centres 0.4 20 0.1 Milk rejected by the processor
Total loss along the supply chain 7.3
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
M I L KFood loss reduction strategy
Capacity building along the milk supply chain, promoting collective milk marketing and raising awareness on ethical practices:
1. Quality-based milk payment system.2. Training of farmers on farm management practices.3. Training dairy industry players on hygienic milk handling and quality testing4. Industry regulation to carry out quality surveillance of milk5. Promotion of cold chain throughout.6. Commercialization of traditional and value-added dairy products.7. Increased investments in rural infrastructure: all-weather roads and electricity8. National Dairy Development Policy as internalized by the 2010 Dairy Master Plan.
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
F I S H
Migori, Homabay, Siaya CountiesSeptember – December 2012
Simon K. MungutiQuality Control Officer, Ministry of Fisheries Development
Joy M. KiiruAgricultural Economist, University of Nairobi
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
F I S H
Year 2011 production VolumeTon/year
ValueUSD/year
Total fish landed 167,800 229 million
Aquaculture 20,000
Omena 72,300 37.9 million
Tilapia 23,100 52.1 million
Nile perch 47,100 108 million
The fish subsector
Omena (silver cyprinid - Rastrineobola argentea)
Tilapia (Oreochromis niloticus)
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
F I S H
Harvesting/ fishing
Transportation from fishing ground
Sun drying
Packing into gunny bagsTemporary storage by
some wholesalers Transportation
Landing/ fish distribution to traders
Retailer
Harvesting/ fishing
Transportation to landing site
Weighing
Size grading
Packing
Transporting
Retail selling
Omena Tilapia The supply chains
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
F I S H
Critical Loss Point Cause
FishingQuality loss 4.5% of value USD 1,100 per
boat/year Fish stay in nets for long hours at harvesting ground.
Packing / storingQuality loss 5.5% of value USD 2,500 per
trader/yearFish not kept cold awaiting and during transport to market.
Tilapia
Critical Loss Point Volume or %age lost Cause of lossDryingQuantitative loss
6%or 850 kg per trader / year. Drying surface run off during the rain storms.
DryingQuantitative loss 1-2% Spilling during drying
Omena
Food Losses
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
F I S HFood losses reduction measuresOmena.
1. Fence off fish landing beaches
2. Drying racks
Tilapia.
3. Fish landing facilities
4. Use recommended fishing gear
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
F I S HFood losses reduction strategy
1. Address flouting fishing regulations.
2. Livelihood diversification for fishing communities.
3. Adopt demand-driven approach for capital investment in infrastructure.
4. Involve local communities in management of landing sites.
Establish a stakeholders task-force including the county governments, to develop an intervention programme, and to mobilize resources
SAVE FOOD – Case StudiesFood Loss Assessments: Causes and Solutions
F I S HFood losses reduction strategy
1. Address flouting fishing regulations.
2. Livelihood diversification for fishing communities.
3. Adopt demand-driven approach for capital investment in infrastructure.
4. Involve local communities in management of landing sites.
Establish a stakeholders task-force including the county governments, to develop an intervention programme, and to mobilize resources