EU self-sufficiency for raw materials (cei_gsr020)

ESMS Indicator Profile (ESMS-IP)

Compiling agency: Eurostat, the statistical office of the European Union


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Relevance
4. Statistical Indicator
5. Frequency and Timeliness of dissemination
6. Coverage and comparability
7. Accessibility and clarity
8. Comment
Related Metadata
Annexes
Footnotes
Eurostat Quality Profile
4.5. Source data

EC -Joint Research Center (JRC)

Note that Eurostat is not the producer of these data, only republishes them. These data are not considered European statistics.

5.1. Frequency of dissemination Every 3+ years
5.2. Timeliness > T+2 years
6.1. Reference area Only EU aggregate
6.2. Comparability - geographical Not Applicable
6.3. Coverage - Time 5 to 10 years
6.4. Comparability - over time > 4 data points

Description of Eurostat quality grading system under the following link.



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1. Contact Top
1.1. Contact organisation

Eurostat, the statistical office of the European Union

1.2. Contact organisation unit

E2: Environmental statistics and accounts; sustainable development

1.5. Contact mail address

2920 Luxembourg LUXEMBOURG

e-mail contact: ESTAT-CIRCULAR-ECONOMY@ec.europa.eu


2. Metadata update Top
2.1. Metadata last certified 13/06/2022
2.2. Metadata last posted 13/06/2022
2.3. Metadata last update 13/06/2022


3. Relevance Top

The indicator is part of the Circular Economy indicator set. It is used to monitor progress towards a circular economy on the thematic area of 'Global sustainability and resilience'.

Raw materials are essential for the functioning of the EU's economy. A wide variety of industrial sectors depend on the secure supply of raw materials, typically in a diversified mix of domestic extraction, recycling and imports. The EU Action Plan for the Circular Economy targets specific actions in the area of critical raw materials. Critical raw materials are those that are of high economic importance for the EU and vulnerable to supply disruption. In certain cases, their extraction also causes significant environmental impacts, and so their critical economic importance can also have significant environmental policy implications. Increasing the recovery of critical raw materials is one of the key challenges to be addressed in the move to a more circular economy.

The composite indicator provides the weighted average as a benchmark, and interesting insights into the differences between materials (viz., for certain critical raw materials the EU is much more self-sufficient than for others) at the disaggregated level of data for each type of material.


4. Statistical Indicator Top
4.1. Data description

The Self-sufficiency (SS) indicator measures how much the EU is independent from the rest of the world for several raw materials.

The indicator has been calculated based on actual yearly quantity data for domestic production, exports and imports, using the formula: Self-sufficiency = 1 - (net) Import Reliance, where Import Reliance (IR) is defined in the EU Critical Raw Materials methodology as Net imports / (Net imports +Domestic Production).

 

 

The computations of Self-sufficiency indicator have been conducted at the first two stages of the value chain: extraction (E) and processing (P) for most of the materials.

The values of Self-sufficiency indicator could range from 0 to 100%, in the same interval as import reliance, since any value outside this range can’t be interpreted (there is no meaning of a negative self-sufficiency, neither to be more than 100% self-sufficient in a specific material).

The indicator provides insights in the differences between materials: for certain raw materials the EU is more self-sufficient than for others. The data source allows for a disaggregation per material. Due to increasing demand for certain materials (such as silicon, copper, tellurium and indium), even if 100% were recycled, the EU would still not be self-sufficient. 

The indicator should be considered in a broader context considering potential disruption of supply in the context of economically sensitive key areas. Self-sufficiency for raw materials, in combination with an analysis of the source countries for these materials, can help assessing supply risks for these materials.

4.2. Unit of measure

Percentage.

4.3. Reference Period

Calendar year.

4.4. Accuracy - overall

Indicator from non-ESS source. For assessment of accuracy please refer to the original source (see link to external data source and metadata in "Annexes").

4.5. Source data

EC -Joint Research Center (JRC)

Note that Eurostat is not the producer of these data, only republishes them. These data are not considered European statistics.

The data used as the inputs to build the self-sufficiency indicator are:

Production data, taken from the specialised international data providers: World Mining Data (WMD) and BGS (British Geological Survey). In these sources, production is available by material and country. Data at EU level has been computed by summing-up the production data of individual member states.

Trade data, taken from COMEXT (ESTAT) – the quantity of imports and exports for each raw material.At EU level it is used the extra-EU trade, while for the computation of the indicator at member state level, the individual country imports and exports data are used.


5. Frequency and Timeliness of dissemination Top
5.1. Frequency of dissemination

Every 3+ years

Indicator is updated every 3 years. 

The European Commission has committed to updating the list of Critical Raw Materials every 3 years (COM (2011) 25).

5.2. Timeliness

> T+2 years

New data points are disseminated within three years after the reference year.


6. Coverage and comparability Top
6.1. Reference area

Only EU aggregate

Data are presented for European aggregates:

 European Union - 27 countries (from 2020) [EU27_2020]

 European Union - 28 countries (2013-2020) [EU28] 

6.2. Comparability - geographical

Not Applicable

EU aggregate. No data available by Member State.

6.3. Coverage - Time

5 to 10 years

Data are available starting with the year 2011, the last reference year is 2018.

6.4. Comparability - over time

> 4 data points

Data are comparable over time, since the methodology used to calculate the values is the same.


7. Accessibility and clarity Top
7.1. Dissemination format - Publications

Analysis of indicator is presented in Commission Staff Working Document.

7.2. Dissemination format - online database

See table cei_gsr020

7.3. Dissemination format - other

Eurostat dedicated section on Circular Economy.

DG GROW. Critical raw materials.

DG ENV, Implementation of the Circular Economy Action Plan.


8. Comment Top

Copyrights: 

Eurostat Copyright/Licence Policy is applicable.


Related metadata Top


Annexes Top
Raw Materials Scoreboard, Indicator 16 'Recycling’s contribution to meeting materials demand'
UNEP, 2011, ‘Recycling rates of metals — A status report, A report of the Working Group on the Global Metal Flows to the International Resource Panel’ , T.E. Graedel, J. Allwood, J.P Birat,. B.K Reck, S.F Sibley, G. Sonnemann, M.Buchert, C. Hagelüken
Bio by Deloitte, 2015, 'Study on Data for a Raw Material System Analysis: Roadmap and Test of the Fully Operational MSA for Raw Materials', prepared for the European Commission, DG GROW
Communication on Critical Raw Materials -2020


Footnotes Top