Dias nummer 1
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Transcript Dias nummer 1
Indicators and targets for waste
prevention in Nordic countries
Waste Prevention Webinar 24. April
David Watson, CRI
Background
Project:
Copenhagen Resource Institute and Lund University, Sweden
commissioned by Nordic Council of Ministers, 2012
Objective:
Aid Nordic countries in selection of targets and indicators for
inclusion in waste prevention programmes for four waste
fractions:
C&D
Food
WEEE
Textiles
Indicators should be relevant and practicable
2
Methodology
What exists already?
What scope should be covered by indicators/targets for
each stream?
Which indicator types are most relevant to each stream?
Data availability?
RACER assessment for potential indicators
Analysis of target/indicator pairs
Final recommendation of target/indicator pairs
Input from
Expert Group
3
Waste prevention definition
“Measures taken before a substance, material or product has become
waste that reduce:
the quantity of waste, including through the reuse of products or
the extension of life span of products:
the adverse impacts of the generated waste on the environment
and human health; or
the content of harmful substances in materials and products”
(Article 3 Paragraph 12).
4
Indicator Typology
1.
Output-based indicator: waste generation indicator absolute quantities or per capita or per household
2.
Part 1 of
definition
Input-based indicator: changes in consumption of
goods or resources which end up in this waste stream
3.
Input-versus-output indicator: waste output per
unit input (physical quantities)
4.
Decoupling indicator: output or input per unit GDP or
some other economic variable
Part 2
5.
Part 3
6.
All
Impacts indicator: changes in environmental impacts
of generated waste
Hazardous content indicator: changes in the
hazardous contents of products which end as waste
7.
Response indicator: indicators measuring political
actions taken to deliver waste prevention
5
Literature review
Few indicators proposed, even fewer are operational. Most for C&D waste (5)
fewest for textiles (2 general indicators; 0 textile specific)
All but one indicator related to part a) of the waste prevention definition
Indicators include: output, input versus output, decoupling and response
indicators
Few targets proposed for any waste stream apart from food: Food 11 targets;
Textiles 1 one target
All targets fall under part a) of waste prevention definition
Most targets relate to output, input and input versus output type variables. A few
response based targets. Some targets concrete and well-defined – others are vague
No targets have been related to a corresponding indicator!!!!!
6
Scope of indicators/targets
7
Relevant indicator types
Input-indicator √
Food Waste
Output-indicator √
Material input
Food waste
Input-vs-output √
Decoupling √
Waste output
Hazardous X
~1-2 years
Input-indicator √
C&D Waste
Output-indicator ?
Material input
Demolition waste
output
Construction
waste output
40 years
Input-vs-output ?
Decoupling √
Hazardous √
8
Data availability
CORE DATA
ELEMENTS
Hazardous
C&DW
generation
C&DW
generation
Consumption of construction
materials
(preferably)
Renovation economic output
Domestic extraction of
construction materials (proxy)
C&DW / capita
Hazardous C&DW
/ capita
C&DW /GDP
Hazardous C&DW
/GDP
Construction sector’s
economic output (or Gross
Value Added)
C&DW /Economic
output
Hazardous C&DW
/Economic output
Physical area of new
buildings
C&DW / Physical
area of new
buildings
Population
GDP
C&DW generation
Hazardous C&W
/area of new
buildings
Hazardous C&DW
/ C&DW
Consumption of construction
materials/Economic output
Renovation economic output
versus the total output of the
sector
Consumption of construction
materials/ area of new dwellings
Material consumption in the
construction sector/waste
generation
Domestic extraction of
construction materials/waste
generation
Average design life expectancy of buildings and roads
Life cycle assessment data on construction materials
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Proposals
10
Food waste
Reduce avoidable food waste from households by x% or x tonnes by year y,
compared to base year y0
best-needed indicator ‘Avoidable food waste generation per household
(capita/food industry/hospitality sector)’
best-available indicator ‘food consumption in kg/capita/year’
Reduce the amount of food waste from households by x% or x tonnes by year y
best-needed indicator ‘Amounts of food waste generated per household
(capita/food industry/hospitality sector)’
best-available indicator ‘food consumption in kg/capita/year’
Reduce the cost of avoidable food waste to households by x% by year y
best-needed indicator ‘Economic value of avoidable household food waste
(Euro/capita/year)’
11
Food waste
Increase government budget used for waste prevention measures by x% by year y,
best-needed indicator ‘Government (local authority, etc.) budget used on
food waste prevention activities’
Increase the number of enterprises signing voluntary commitments on food waste
prevention by x (number or %) by year y
best-needed indicator ‘Number of enterprises signed (actively involved in)
food waste prevention voluntary agreements’
12
C&D waste
Reduce waste generation from the construction sector by x% annually
best-available indicator ‘“C&DW generation per unit Gross Value Added
(GVA) in the construction sector
Increase the material efficiency in construction with x% by year y
best-needed indicator on ‘Material consumption in the construction of
buildings versus the area of new construction’
best-available indicator the ‘Domestic extraction of construction materials
per floor area of new buildings’
Reduce the hazardous content of construction materials by x% annually
best-available response-based indicator ‘Number of new buildings and
sales of building materials certified by labelling schemes which limit
quantities of hazardous or harmful substances’
13
C&D waste
Increase life span of buildings with x years and roads with z years by year y
best-needed indicator on ‘Average design life expectancy of buildings and
roads’
14
WEEE
Reduce the consumption of EEE (in kg) by x% by year y
best-available indicator “Amount of EEE put on the market (kg) per
capita”
Increase the re-use of EEE by x% by year y
best-needed indicator ‘Amount of re-used EEE sold’
Reduce the WEEE generation by x% by year y
best-needed indicator ‘WEEE generation (kg) per capita’
best-available indicator ‘Collection of WEEE (kg) per capita’ can be used as
a proxy.
15
WEEE
Reduce the content of hazardous substances in EEE by x% by year y
best-needed indicator ‘Hazardous substances found in EEE (% weight/total
weight of EEE)’
Increase the material efficiency in EEE by x% by year y
best-needed indicator ‘WEEE generation (kg) versus EEE put on the
market (euros) per capita’
16
Textiles waste
Reduce generation of waste from clothing and home textiles from households by x%
or x tonnes by year y
best-needed indicator “Textiles waste generation from households per
capita per year”
best-available indicator ‘New textile products (by weight) put on the
market per capita per year’ as a proxy indicator
Reduce consumption of new textiles by x% or x kg/capita by year y
best-available indicator ‘New textile products (by weight) put on the
market per capita per year’
Increase the purchase of high quality over budget low quality textiles products
best-available indicator ‘Household expenditure on textile products per
tonne of textile products put on the market’
17
Textiles waste
Increase the share of second-hand products in total sales of textiles by x% by year y
best-needed indicator on ‘Share (by value) of second-hand products in
total textile products put on the market’
Increase the number of products certified with labels requiring reduced use of
hazardous substances in textiles production by x% by year y
best-available indicator Textile product models certified by eco-labelling
schemes relevant to the Nordic countries (Nordic Swan, Swedish Good
Environmental Choice, EU Flower)
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Thank you!
Copenhagen Resource Institute
Børsgade 4
DK-1215 Copenhagen K
Tel. +45 72 54 61 67
[email protected]
E-mail: [email protected]
www.cri.dk