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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Ministry for an Ecological Transition (France) |
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1.2. Contact organisation unit | General commisionner for sustainable development Data and Statistical Studies Department |
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1.5. Contact mail address | CGDD Orléans, 5 route d'Olivet, CS 16105, 45061 cedex 1 |
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2.1. Metadata last certified | 24/04/2024 | ||
2.2. Metadata last posted | 24/04/2024 | ||
2.3. Metadata last update | 24/04/2024 |
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3.1. Data description | ||||||||||||||||||||||||||||
Economy-wide material flow accounts (EW-MFA) provide an aggregate overview, in thousand tonnes per year, of the material flows into and out of an economy. EW-MFA cover solid, gaseous, and liquid materials, except for bulk flows of water and air. Like the system of national accounts, EW-MFA constitute a multi-purpose information system. The detailed material flows provide a rich empirical database for numerous analytical purposes. Further, EW-MFA are used to derive various material flow indicators. The National Statistical Institute (NSI) sent to Eurostat on yearly basis the EW-MFA. The accounts comprise the following reporting tables:
Table I 'Material flow accounts in raw material equivalents (RME)': records material flow accounts in raw material equivalents (MFA-RME). Some items are calculated automatically based on data reported in Table A and Table I |
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3.2. Classification system | ||||||||||||||||||||||||||||
EW-MFA record physical flows of materials broken down by type of flow and by type of material. The type of flow dimension corresponds to the EW-MFA questionnaire reporting tables and derived indicators, namely:
The breakdown by type of material employs a classification of materials. This EW-MFA classification of materials is hierarchical with main material flow categories (1-digit level). Each main category is further broken down, maximal down to 4-digit-level: 1-digit: material category; 2-digit: material class; 3-digit: material group; 4-digit: material sub-group. |
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3.3. Coverage - sector | ||||||||||||||||||||||||||||
The data refer to national economies as defined in the system of national accounts. |
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3.4. Statistical concepts and definitions | ||||||||||||||||||||||||||||
Conceptually economy-wide material flow accounts (EW-MFA) belong to the international system of environmental economic accounting (SEEA-Central Framework). Furthermore, EW-MFA is one of several physical modules of Eurostat's programme on European environmental economic accounts. It is covered by Regulation (EU) No. 691/2011 on European environmental economic accounts. EW-MFA are closely related to concepts and definitions of national accounts. Most notably they follow the residence principle, i.e. they record material flows related to resident unit's activities, regardless where those occur geographically. Further methodological guidelines are provided in various publications by Eurostat (see Eurostat website > Environment > Methodology, heading: 'Material flows and resource productivity'). For more detailed information please see also 3.1. |
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3.5. Statistical unit | ||||||||||||||||||||||||||||
Statistical units change according to the different data sources (e.g. agriculture, forestry and fishery statistics, production statistics, geological surveys, energy statistics, foreign trade statistics etc.) which EW-MFA are based on. |
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3.6. Statistical population | ||||||||||||||||||||||||||||
EW-MFA refer to the entire national economy of the reporting country (see also 3.3 'Coverage - sector')). EW-MFA include all materials (excluding water and air) crossing the system boundary (between the environment and the economy) on the input side or on the output side. The economy is demarcated by the conventions of the national accounting system (resident units). Material inputs to the economy cover extractions of natural resources (excluding water and air) from the natural environment and imports of material products (goods) from the rest of the world economy (ROW). Material outputs are disposals of materials to the natural environment and exports of material products and waste to the ROW. Information on natural resources extracted and traded products is provided by different statistical units. |
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3.7. Reference area | ||||||||||||||||||||||||||||
The french economic territory, classically used in the national accounts. |
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3.8. Coverage - Time | ||||||||||||||||||||||||||||
Please see the table in 3.8.1. |
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3.8.1. Coverage – Time: by questionnaire table | ||||||||||||||||||||||||||||
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3.9. Base period | ||||||||||||||||||||||||||||
Not applicable because EW-MFA are not reported as indices. |
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The unit of measure is thousand tonnes. |
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The data refer to the calendar years. |
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6.1. Institutional Mandate - legal acts and other agreements | |||
Economy-wide material flow accounts (EW-MFA) are legally covered by Regulation (EU) 691/2011 on European Environmental Economic Accounts. |
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6.2. Institutional Mandate - data sharing | |||
Not applicable in national level this information is required at European level only. |
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7.1. Confidentiality - policy | |||
Statistical secrecy is defined by french law n° 51-711 of 7 June 1951 |
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7.2. Confidentiality - data treatment | |||
Law relating to statistical confidentiality in France |
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8.1. Release calendar | |||
MFA statistics are published each year on the websites of the Data and Statistical Studies Department. |
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8.2. Release calendar access | |||
The release calendar is not published on our website. |
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8.3. Release policy - user access | |||
Data are published on the website of the statistical service. These data are publicly available to all Internet users. |
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Data are disseminated annually. |
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The data can be downloaded from the internet. The files are in Excel format. There are no restrictions on their use. Articles (from two to four pages) accompanies the data, with updated comments : https://notre-environnement.gouv.fr/themes/economie/article/l-utilisation-des-ressources-naturelles The french NSI regularly publishes articles (with our collaboration) : for example INSEE Références : https://www.insee.fr/fr/statistiques/3280952 |
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10.1. Dissemination format - News release | |||
There is no news releases related to MFA. |
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10.2. Dissemination format - Publications | |||
The data can be downloaded from the internet. The files are in excel format. There are no restrictions on their use. Articles (from two to four pages) accompanies the data, with updated comments, are available on the website: https://notre-environnement.gouv.fr/themes/economie/article/l-utilisation-des-ressources-naturelles Other related studies are on https://www.statistiques.developpement-durable.gouv.fr/matieres-mobilisees-par-leconomie-francaise?rubrique=33 |
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10.3. Dissemination format - online database | |||
No online database. |
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10.3.1. Data tables - consultations | |||
Will be calculated and provided by EUROSTAT. |
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10.4. Dissemination format - microdata access | |||
Data online is available in a more agregate format than the detailed level of the MFA questionnaire, but it can be sent to searchers if particular demand. |
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10.5. Dissemination format - other | |||
No other dissemination format |
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10.5.1. Metadata - consultations | |||
Will be calculated and provided by EUROSTAT. |
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10.6. Documentation on methodology | |||
For Biomass (domestic extraction) : https://agreste.agriculture.gouv.fr/agreste-web/disaron/!searchurl/searchUiid/search/ http://www.fao.org/fishery/statistics/en For Mineral Ores, Non-metallic minerals and fossil energy materials/carriers (domestic extraction) : https://www.insee.fr/fr/metadonnees/source/serie/s1193 For Fossil energy materials/carriers (domestic extraction): For Trade statistics (imports and exports) : https://lekiosque.finances.gouv.fr/site_fr/etudes/methode/elaboration.asp |
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10.6.1. Metadata completeness - rate | |||
Will be calculated and provided by EUROSTAT. |
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10.7. Quality management - documentation | |||
Quality related documents are not available online. The Data & Statistical Studies Department belongs to the SSP (Public Statistical Service) wich includes the SSM (ministerial statistical services) and the french NSI (INSEE). Created in 2008, the ASP (public statistic autority) brings the garanty to respect the profesional independance, with principles such as objectivity, impartiality, pertinence and quality of the data produced. The Data & Statistical Studies Department is regularly audited by the ASP, as every SSM. https://www.autorite-statistique-publique.fr/ In may 2021 an european quality audit (by the quality reference of the european statistic system) involved our SSM with Eurostat : https://www.statistiques.developpement-durable.gouv.fr/sites/default/files/2018-12/KS-02-18-142-FR-N.pdf |
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11.1. Quality assurance | |||
The questionnaire provides many checks to validate tables filled with all the data collected : the data sources are obtained from statistical services, in particular from surveys made by the ministries of Agriculture (biomass data), Economy - INSEE (metal & minerals), Environment (fossil energy)... Their practices include validation at their level, so using their data brings a garanty assurance for quality. To analyse the coherence of the annual evolutions of quantities (for all items of the MFA classification) we read the studies made by all the SSM concerned : agriculture, extracting sectors,..or by professionnal syndicates. It helps to understand (and validate) variations, explained for instance by the weather (agriculture) or the construction crisis (minerals)... |
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11.2. Quality management - assessment | |||
As seen before, the overall quality results from the quality of each national contributor, from the level of the french SSM concerned to our NSI (INSEE). |
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12.1. Relevance - User Needs | |||
Users need the data (mainly at agregate level) to follow series of indicators (DE, trade, DMC, productivity...) : they are mainly institutionnals users (INSEE, Cerema, ..) Some other users (searchers, students..) often use directly the Eurostat Database because they find more recent data. |
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12.2. Relevance - User Satisfaction | |||
No measurement, but contact is easy with the Department, always answering the more completly and rapidly possible. |
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12.3. Completeness | |||
All data are available |
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12.3.1. Data completeness - rate | |||
Will be calculated and provided by EUROSTAT. |
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13.1. Accuracy - overall | |||
Please use Annex 3 for providing an assessment of the overall quality of the reported data. Annexes: Annex 3: Data quality for Tables A, B, D, F and G by material categories |
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13.2. Sampling error | |||
Not applicable because data are not based on a sample survey. |
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13.2.1. Sampling error - indicators | |||
Not applicable because data are not based on a sample survey. |
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13.3. Non-sampling error | |||
Not applicable. |
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13.3.1. Coverage error | |||
Not applicable. |
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13.3.1.1. Over-coverage - rate | |||
Not applicable. |
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13.3.1.2. Common units - proportion | |||
Not applicable. |
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13.3.2. Measurement error | |||
Not applicable. |
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13.3.3. Non response error | |||
Not applicable. |
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13.3.3.1. Unit non-response - rate | |||
Not applicable. |
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13.3.3.2. Item non-response - rate | |||
Not applicable. |
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13.3.4. Processing error | |||
Not applicable. |
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13.3.5. Model assumption error | |||
Not applicable. |
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14.1. Timeliness | |||
Usually we begin collecting data in february-march , some data are not available before april (EAP, metals and minerals from INSEE). |
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14.1.1. Time lag - first result | |||
Not applicable. |
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14.1.2. Time lag - final result | |||
Not applicable. |
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14.2. Punctuality | |||
We depend on the data (metal and minerals given by the annual survey EAP from INSEE) not available before April. |
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14.2.1. Punctuality - delivery and publication | |||
Will be calculated and provided by EUROSTAT. |
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Data reported follows all Eurostat guidelines & recommandations, so that for all countries, easing comparability between them. |
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15.1. Comparability - geographical | ||||||||||||||||||||||||||||||||
Data on EW-MFA are compiled according to harmonised guidelines provided by Eurostat and hence comparable across European countries reporting EW-MFA data to Eurostat. |
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15.1.1. Asymmetry for mirror flow statistics - coefficient | ||||||||||||||||||||||||||||||||
Not applicable because physical imports and exports as recorded in EW-MFA are not specified by origin and/or destination. |
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15.2. Comparability - over time | ||||||||||||||||||||||||||||||||
Please see the table in 15.2.1.1. |
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15.2.1. Length of comparable time series | ||||||||||||||||||||||||||||||||
Will be calculated and provided by EUROSTAT. |
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15.2.1.1. Comparability - over time detailed | ||||||||||||||||||||||||||||||||
Please use below table for explaining b)-flags (breaks in time series):
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15.3. Coherence - cross domain | ||||||||||||||||||||||||||||||||
no particular checking |
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15.3.1. Coherence - sub annual and annual statistics | ||||||||||||||||||||||||||||||||
Not applicable; reported EW-MFA data are only annual. |
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15.3.2. Coherence - National Accounts | ||||||||||||||||||||||||||||||||
No incoherence known with NA, INSEE calculating and using financial data more than physical quantities. If needed, imports and exports (quantities & values) are used from the official Finance ministry source (Douanes = Customs). |
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15.4. Coherence - internal | ||||||||||||||||||||||||||||||||
Data are internally consistent |
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In the PAT (annual work program) the MFA reporting task is estimated as 35 days and related articles updating as 15 days... No financial estimation costs because data collection is mainly linked with other Statistical Ministry Services (free exchanges of data). Internal Service is in charge of publications on the website (we don't use no more paper issues) |
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17.1. Data revision - policy | |||
The statistical service of the Ministry publishes its methodological review policy on its website https://www.ecologie.gouv.fr/donnees-et-etudes-statistiques INSEE can publish revisions (data, methodology...) https://www.insee.fr/fr/information/2016815 |
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17.2. Data revision - practice | |||
A new methodology with new sources were used for the line 1.4.3 in Table A (hunting and gathering). For Table A, the figures for MF.1.3.1 and MF.1.3.2 were recalculated for the period 2017-2022 by our national source. For Table A, MF.2 and MF.3 will from now one be revised for the previous years as the database (EAP) is revised and adjusted. For Table A, the figures for MF.1.1 and MF.1.2, data from 2020 can be revised by the source. For Table A, the figures for MF.3 from 2009 to 2022 can be revised each year with the update of Eurostat annexes. For Table A, the figures for MF.4.2.2 were revised for the period 1990-2020 because some sources have been updated and/or changed. For Tables B and D, the figures were recalculated for the period 2011-2022 using the last Eurostat Annex. The original data (custom) is the same and have not been revised. |
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17.2.1. Data revision - average size | |||
Will be calculated and provided by EUROSTAT. |
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18.1. Source data | |||
Data sources used to produce economy-wide material flow accounts are described in the sub-concepts 18.1.1 (and Annex) and 18.1.2. |
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18.1.1. Source data - Table A, B, D, F and G | |||
Please use Annex 1 to report the detailed data sources for questionnaire tables A, B, D, F and G. Annexes: Annex 1: Sources of data for Tables A, B, D, F and G by material categories |
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18.1.2. Source data - Table I | |||
RME tool is used. This table have not been updated yet due to lack of time. |
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18.2. Frequency of data collection | |||
Annual collection |
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18.3. Data collection | |||
As already seen before, every year the data collection is launched for biomass data : comes from the ministry of Agriculture statistical service (Agreste) and from FAO Metals & minerals : data from INSEE (EAP : annual production survey) fossil energy materials : from Database Pegase (Ministry of environment) (We don't analyse the methods/questionnaires used by these statistical services) |
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18.4. Data validation | |||
The questionnaire is checked before sending, but before this, we validate the coherence of figures evolutions by articles or studies (by SSM, professional syndicates...) commenting the conjonctural evolutions (agriculture, construction...) |
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18.5. Data compilation | |||
Data we use is given by producers such as INSEE and Statstical Services of other ministries, that validate their surveys. (We don't adjust nor calibrate nor estimate them) |
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18.5.1. Imputation - rate | |||
Not applicable. |
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18.5.2. Estimation approaches for specific items | |||
Please use Annex 2 to describe estimation approaches for specific items. Not necessary : statistical data exist, we have statistical sources giving the information needed : detailed quantities extracted in biomass (from ministry of agriculture statistical service), in metals & minerals (EAP survey by INSEE) and fossil energy (database Pegase, Ministry of environment), no need to estimate. Annexes: Annex 2: Estimation methods for data of Table A 'Domestic Extraction' for which no statistical data sources exist |
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18.5.3. Adjustment used of correspondence table for Tables B and D | |||
Eurostat correspondence tables are used. |
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18.5.4. Adjustment used of conversion factors for Tables B and D | |||
We don't use the conversion factors. |
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18.5.5. Fuel trade, residence adjustment | |||
We use coefficients to convert the consumption (Ktep) into Ktonnes for fuels (motor gasoline, liquefied petroleum gases, natural gas liquid kerozen,...) : my colleague (Manuel Baude, in care of AEA) provides the corresponding annual series (for resident units abroad and for resident units domestically) about transports by land, water and air. We obtain the total annual consumption for the two categories and their three ways of transports : it fills the MF.4.2.3 lines in the Tables B and D (and are included in the calculation for Table I). |
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18.5.6. Significant problems | |||
No significant problems for France, because we have quality data sources : from validated national surveys,vith coherent, accurate and reliable series... |
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18.6. Adjustment | |||
Not applicable; i.e. in EW-MFA no time series adjustment necessary. |
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18.6.1. Seasonal adjustment | |||
Not applicable. |
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Sources of data for Tables A, B, D, F and G by material categories Estimation methods for data of Table A 'Domestic Extraction' for which no statistical data sources exist Data quality for Tables A, B, D, F and G by material categories |