Indicator definition

Definition: Total packaging waste produced used in EU Member States. Recycling of packaging waste as a share of packaging used in EU Member States. The amount of packaging used is expected to equal the amount of packaging waste generated because of its short lifetime. This indicator shows generation of packaging waste.

Model used: Waste and Material Flow model from EEA/ETC

Ownership: European Environment Agency

Temporal coverage: 2000 - 2020

Geographical coverage: EU 25: Austria, Belgium, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Slovakia, Slovenia, Spain, Sweden, United Kingdom

Units

percentage of expected change between 2000 and 2020

Policy context and targets

Context description

Global and Pan-European policy context
No international agreements exist for reduction of municipal waste generation.  

EU policy context

6th Community Environment Action Programme

• Better resource efficiency and resource and waste management to bring about more sustainable production and consumption patterns, thereby decoupling the use of resources and the generation of waste from the rate of economic growth and aiming to ensure that the consumption of renewable and non-renewable resources does not exceed the carrying capacity of the environment.
• Achieving a significant overall reduction in the volumes of waste generated through waste prevention initiatives, better resource efficiency and a shift towards more sustainable production and consumption patterns
• A significant reduction in the quantity of waste going to disposal and the volumes of hazardous waste produced while avoiding an increase of emissions to air, water and soil;
• Encouraging reuse, and for wastes that are still generated: Preference should be given to recovery and especially to recycling.
  

EU waste strategy (Council Resolution of 7 May 1990 on waste policy)

• Where the production of waste is unavoidable, recycling and reuse of waste should be encouraged

Communication from the Commission on the review of the Community strategy for waste management (COM(96) 399)

• There is a considerable potential for reducing and recovering municipal waste in a more sustainable fashion for which new targets also will be set.
  

Council Directive 94/62 of 15 December 1994 on packaging and packaging waste as amended by Directive 2004/12 of 11 February 2004 on packaging and packaging waste

• Establishes targets for recycling and recovery of selected packaging materials.  

EECCA policy context

EECCA Environmental Strategy

• Development of inter-sector waste management action plans
• Implementation of integrated systems of monitoring of waste transfers
• Development of economic mechanisms to facilitate implementation of cleaner technologies and waste prevention and minimization as well as governmental support for waste treatment facilities
• Development of efficient programs for waste management and management of chemical risks
• Promotion of development of an integrated system for inventory of waste generation and accumulation (e.g. Protocol on Pollutant Release and Transfer Registers-PRTR) (EECCA Environmental Strategy)

Targets

EU level

Table: Targets of the Packaging and Packaging Waste Directive

Source: Official Journal L 365 , 31/12/1994 P. 0010 - 0023 and Official Journal L 047 , 18/02/2004 P. 0026 - 0032

EECCA level

Some countries have set national targets for the reduction of solid waste within a specified time frame however these targets are not reported at the international level. Special research is needed to identify availability of targets at the EECCA countries.

Links to other related policies

EECCA Environmental Strategy 

The European Neighborhood Policy, STRATEGY PAPER

Related policy documents

• Directive 94/62/EC on packaging and packaging waste
  European Parliament and Council Directive 94/62/EC of 20 December 1994 on packaging and packaging waste
• Sixth Environment Action Programme (decision No 1600/2002/EC)
  DECISION No 1600/2002/EC OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 22 July 2002 laying down the Sixth Community Environment Action Programme

Methodology

Methodology for indicator calculation

The outlook for the packaging waste generation was made on the Waste and Material Flow Model.

Overview of the Waste and material flows model

The EEA's European Topic Centre on Waste and Material Flows, in collaboration with the Riso National Laboratory, has developed a macro-econometric model that projects the generation of waste and materials flows at the national level. The theoretical approach is rooted in macro-econometrics as the quantities of waste and material flows are projected as a function of future developments in the number of households, the size of population, or economic activity in the relevant sectors (e.g. production, gross value-added or private final consumption). Projections for waste oil and used tires are based on the 'car stock and end-of-life vehicles' vintage model developed by the Riso National Laboratory. Fossil fuel projections are based on the results of the PRIMES model using country-specific coefficients for transforming ktoe to tonnes. The domestic material consumption (DMC) indicator is reported for fossil fuels (i.e. domestic extraction + net trade (imports - exports)), while the domestic extraction only is estimated for minerals and biomass.
The calibration of the model over past data reflects the level of 'coupling' between the explanatory variables and waste and materials flows. Coupling or decoupling in excess of what happened in the past are an assumption fed into the model rather than a result of it. In addition, time trends that represent (autonomous) technological change are progressively phased-out over the projection period (at different rates depending on the waste stream and the country), leaving the dynamics of the model governed by the socio-economic explanatory variables. Finally, one has to note that the pieces of legislation are only implicitly included in macro-economic models. For more information see here.

Use of scenarios

The model considered two scenarios: Baseline and Low Growth Scenario. The later one was developed to assess the (marginal) impact of the overall European economic situation on the waste generation levels.

Key model assumptions

Baseline scenario
The baseline scenario follows a conventional definition and expands on current expectations regarding macro-economic, sectoral, technological and societal developments, as well as including those policies that have been implemented and/or adopted, which typically refer to pieces of legislation such as EU directives or political agreements.

EEA's outlooks across the various sectors and themes use a common reference set of assumptions for the key driving forces to ensure consistency across the board and facilitate cross-cutting analysis. This reference set builds on the socio-economic assumptions developed for the DG TREN baseline projections 'European energy and transport trends to 2030', which are also being used within the Clean Air for Europe (CAFÉ, DG ENV) programme. Within this framework, assumptions have been developed as a consistent set and cover the following key driving forces:

• population
• macro and macro-economic activity
• household expenditure
• number of households
• average household size
• energy flows.

Population
The European population is expected to stabilize, but gradually to become an ageing society. Main demographical trends are presented in the Table 1.

Table 1 Demography - population development 1990 - 2030

The age distribution in the EU is a growing concern, particularly in connection with pension and health expenditure and working life-time. While the accession of the 10 new Member States in 2004 has somewhat rejuvenated the EU population, it failed toreserve the trend of increasing old age dependency from 30% in the 1960s to 39% today in the EU-25.

This trend is expected t continue over the 2000-2030 period, with the share of people of 65 years and older in the total population increasing from 15% to 25% in the EU-15, and from 10% to 22% in the New-10.

The macro-economic assumptions
The macro-economic assumptions for Europe are moderately optimistic and entail challenging trade-offs in light of achieving sustainable economic development. Average annual economic growth in the EU is expected to be 2.4% and 3.5% in the New-10.  GDP assumptions are presented in the table 2.

Table 2. Income - GDP growth 2000 - 2030

Technological developments
Technological progress is moderate but essential in key areas such as energy, agriculture and water, but no technological breakthroughs are assumed.More detailed information concerning technology can be found in the European Environment Outlook N4/2005 (pp. 22-23)

Sectoral developments
The service sector is expected to retain its predominance in the European economy and be instrumental in sustaining economic growth. The base line scenario uses specific technological assumptions at the sectoral level, which directly affect most of European environmental concerns. The explanations of such assumptions are available in the European Environment Outlook N4/2005 (pp. 23-24).

Low economic growth scenario
For the 'low economic growth' scenario (low GDP growth), it has been estimated (110) that moderately pessimistic assumptions would lead to average annual growth rates of 1.6 % to 3.2 % over 2000-2030 for different regions in Europe. In the baseline scenario, the growth assumptions range from 2.3 % (EU-15)to 3.5 % (New-10), which is considered to be moderately optimistic. In terms of GDP per capita in the EEA member countries, there is a reduction of 5.6 k Euro compared with the baseline scenario by 2030. In the 'accelerated renewables' scenario (RES), the targets for the share of renewable energy in total energy consumption are 12 % in 2010, 16 % in 2020 and 20 % in 2030. For the power generation sector, subsidies are introduced to achieve the targets of 27 % electricity generation from renewables in 2020 and 35 % in 2030.

GDP assumptions in the 'low economic growth' scenario (2000-2030)

Detailed key assumptions for the Low growth and Baseline scenarios can be found in ETC/RWM working paper 2005/1 (pp. 15-16).

Methodology for gap filling

The projection for each of the four groups of countries, EU-15, EU-10, CC3 and EEA2, is the aggregated sum of projections for all countries where projections are available. In general, the projections for the candidate countries and the two EEA countries are of some uncertainty since the two groups only contain two countries each. When comparing the the projected values with the actual, generated waste quantities in 2001 and 2002, the projection diverges for three countries (Germany, Belgium and Finland) in the EU-15, four countries in the new EU-10, and Bulgaria, Romania and Norway. Thus, the major changes in the Eastern European countries do make it more difficult to project the future trends. (to be checked with the EEA WTC - it is not clear form the available scurces) .

Methodology references

• Waste and Material Flows Model Outlook for waste and material flows. Baseline and alternative scenarios.

Uncertainties

Methodology uncertainty

First of all, it is noted that the model is based on very few observations, with a maximum of 5 years. For four countries (Greece, Ireland, Italy and Portugal) only three observations were available when the estimations were made. The time series is rather short and when looking at the historical data it seems fair to conclude that several countries have spent the first two years to establish and finetune the data collection methodology and system. The majority of Member States set up a packaging waste management system as a direct consequence of the 1994 PackagingDirective, and from a data point of view packaging is a relatively ‘new’ waste stream. Hence, the first two observations may not reflect the actual quantities due various ‘start problems’ with the data collection methodology and the packaging waste management system itself. As a result, the basis for extending past trends is weak, so the longer the time horizon the greater the uncertainty about the projection.

Data sets uncertainty

Rationale uncertainty

No uncertainty has been specified