Economy-wide Material Flow Accounts (EW-MFA)
Data transmission under Regulation (EU) 691/2011
2014Quality report
Country: ……Ireland………….Date:December 21st 2016……………
Contact person: name ……Reamonn McKeever… e-mail…………………….
Please fill in this template and return it to Eurostat by 31December 2016 together with the completed 2016EW-MFA questionnaire. Both files has to be sent via eDAMIS. Please ensure that the following information is entered in eDAMIS
Domain name: ENVPFLAC
Data set name: ENVPFLAC_MFA_A
End of the (mandatory) reference period: 2014
Please write in English, limit the length of your report and focus on changes compared to the last year's quality report.
The 2015EW-MFA quality reports submitted by countries and a summary report by Eurostat are available at the CIRCABC website.
Regulation (EU) No 691/2011 in Article 7 requires that “Member States shall provide the Commission with a report on the quality of the data transmitted. The quality criteria as referred to in Article 12(1) of Regulation (EC) No 223/2009 shall be applied.” Those quality criteria are: relevance, accuracy, timeliness, punctuality, accessibility and clarity, comparability, and coherence.
1Relevance
Relevance refers to the degree to which statistics meet current and potential needs of users.
Economy-wide material flow accounts (EW-MFA) provide a rich empirical database for numerous purposes. At international level the European Commission uses EW-MFA and derived indicators for developing and monitoring policies in domains such as circular economy, sustainable development, resource efficiency, sustainable consumption and production, and greening of other policy areas.The derived EW-MFA indicator domestic material consumption(DMC) is a headline indicator for the Europe 2020 resource efficiency initiative.
1.a) Please add references to the use and relevance of EW-MFA at national level (e.g. main users, national indicator sets, quantitative policy targets etc.)?
MFA statistics are of relevance to Government, academics and media organisations in policy formulation and evaluation in domains such as the circular economy, sustainable development, resource efficiency and sustainable consumption and production.
2Accuracy
Accuracy' refers to the closeness of estimates to the unknown true values.
EW-MFA constitute accounts and as such they are compiled from a variety of data sources. The majority of EW-MFA characteristics are based on statistical data sources (see below section 6and Annex 1). Some characteristics even need to be estimated because adequate statistical data sources do not exist (see below section 6and Annex 2).
Please assess the accuracy of the reported data.
2.a) Are there general deficiencies in the data?
Some data are only available as rough estimates (e.g. crushed Rock in Table A3.6.) Other data, such as Straw in Table 1.2.1.1, Other Crop Residues in Table 1.2.1.2 , Input Gases in Table G.1 and Output Gases in Table G2 are based on general European conversion factors which may not accurately reflect national circumstances in Ireland.
2.b) For which characteristicwould you assume that data quality is lower?
Fodder Crops (Table A.1.2.2.1)
Grazed Biomass (Table A.1.2.2.2)
Crushed Rock (Table A.3.6).
Sand and Gravel (Table A.3.8)
2.c) If applicable, what steps do you plan to remedy the deficiencies?
I apply nation-specific conversion factors rather than European wide ones where possible, impute for missing data, check via the examination of proxy variables and relevant reports, and examine the plausibility of outliers.
3Timeliness
Timeliness refers to the period between the availability of the information and the event or phenomenon it describes.
3.a) By when was the data actually available, nationally?
November 2016
4Punctuality
Punctuality refers to the delay between the date of the release of the data and the target date (the date by which the data should have been delivered.
According to Regulation (EU) No.691/2011 economy-wide material flow accounts shall betransmitted within 24 months of the end of the reference year and in each subsequent datatransmission to the Commission, Member States shall provide annual data for the years n-4, n-3, n-2, n-1 and n, where n is the reference year.
4.a) Country transmitted the data to Eurostat on insert date dd.mm.yyyy .
4.b) Data for the following years are reported in the various tables:
Table A: Domestic extraction / 1994-2015Table B: Imports – Total trade / 1994-2015
Table C: Imports – Extra-EU trade / 1994-2015
Table D: Exports – Total trade / 1994-2015
Table E: Exports – Extra-EU trade / 1994-2015
5Accessibility and clarity
Accessibility and clarity referto the conditions and modalities by which users can obtain, use and interpret data.
Data on EW-MFA and derived indicators, including EU totals, will be made available on Eurostat’s web site as soon as possible after validation.
5.a) Do you publish this data nationally?
Yes. We published this data nationally on December 16th 2016 in an electronic release on the Central Statistics office Website.
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6Comparability
Comparability refers to differences in applied statistical concepts, methods, tools and procedures that may impact comparisons between geographical areas or over time.
Here the focus lies on any assessment of the comparability of data across countries and over time. The comparability is mainly affected by the data sources used and by the compilation/estimation methods applied. Switching the data sources and/or estimation methods may cause breaks in time series.
6.a) Please specify the data sources for Table A 'Domestic extraction'by different material categories?
See Annex 1
6.b) Please explain briefly the estimation approaches for those characteristics in Table A 'Domestic extraction'which cannot be derived directly from statistical sources (e.g. sand and gravel, grazed biomass)?
See Annex 2
6.c) Please specify the data sources for trade (Tables B to E)?
National Trade figures are used to compile Tables B to E. Trade figures are compiled using two different sources: Intrastat and Extrastat. Under the Intrastat Survey traders above certain thresholds make detailed monthly returns to the Customs Service concerning imports from and exports to other EU states. In the Extrastat system data for trade with Non-EU states are compiled from the Single Administrative Documents supplied by importers and exporters to the Customs Authorities.
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6.d) Do you employ Eurostat’s correspondence table,provided in Annex 3of the questionnaire,to assign traded goods to material categories?
Yes, we employ Annex 3 of the EW MFA Questionnaire to assign traded goods to material categories.
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6.e) Do you use conversion factors to convert traded goods into tonnes (e.g. from pieces, cubic metres etc.)?
. .Yes. Conversion factors from Annex 6 of the EW MFA Questionnaire were used if there are no net mass or usable supplementary units in the Trade data.......
6.f) Fuel trade, residence adjustment: Please describe how doyou make adjustments to the trade characteristics B-E.4.2.3 for fuel purchases by residents abroad? This relates e.g.to international air and maritime transport as well as to road vehicle journeys abroad.
please insert description…..
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No. We did not apply an adjustment to fuel trade to reflect the Residence Principle. This was not a high priority as it is a memorandum item only.
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6.g) Are there any discontinuities in time series resulting from changes in methodology, data sources etc.?If data was revised compared to a previous data transmission to Eurostat what was the size of the revisions and what principally caused them?
The methods used to calculate data for A.1.2.1.2 Other Crops Residues and A.1.2.2.1 Fodder Crops have been revised since last year’s transmission to Eurostat.
The crops assigned to these categories have been amended based on Eurostat advice. New national yield and conversion factors have been used in the calculation of Fodder Crops statistics. (Conversion factors transform wet weight figures into dry weight figures). Arable Silage and Fodder Rape and Kale figures (both part of Fodder crops) were imputed for the years 1994-1999. Hay figures were imputed for the year 1994.
The methods used to calculate data for A.3.6 (Limestone, Gypsum and Crushed Rock), A.3.7 (Clays and Kaolin) and A.3.8 (Sand and Gravel) were revised last year and used again in the 2016 data transmission to Eurostat..
A.3.6 includes Crushed Rock figures which were previously classified under A.3.9 Other Non-Metallic Minerals. These Crushed Rock statistics are based on national PRODCOM data supplemented by Road Freight Survey data for data not covered by PRODCOM.(e.g. sales of enterprises which had less than 3 employees or Crushed Rock extracted for own-use by enterprises).
National PRODCOM figures were used in the 2015 and 2016 data transmission for Table A.3.7 rather than the Eurostat Calculator Tool in the Questionnaire used in 2014.
Data in Table A.3.8 in 2015 and 2016 were also revised using national PRODCOM figures (adjusted to impute for non-response and below threshold returns) whereas in 2014 Aggregates data were taken from the British Geological Survey .
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6.h) Did you encounter significant problems in adapting basic statistics to the concepts of the accounts?
Crushed Rock figures (Table A.3.6) and Waste to Landfill figures (Table F.2) are not available before 2000......
Crushed Rock figures are one of the most significant contributors to total Domestic Extraction and these figures are not available as reliable and high quality statistics. In the 2014 MFA Questionnaire, Crushed Rock figures were rough estimates taken from the British Geological Survey’s European Mineral Statistics publications. In 2015 and 2016national PRODCOM Figures were used to estimate Crushed Rock, supplemented by data taken from the Road Freight Transport Survey on the volume of goods transported to road works and building sites.
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7Coherence
Coherence refers to the adequacy of the data to be reliably combined in different ways and for various uses.
The accounting framework of EW-MFA is consistent with the System of Environmental-Economic Accounting (SEEA-CF) adopted by the United Nations Statistical Commission as a world-level statistical standard in March 2012. EW-MFA are consistent with the European system of accounts (ESA) and hence suited to be combined with ESA aggregates.
7.a) Are there anyconsistency issues you would like to mention here?
The residence principle applied in National Accounts is not used in the calculation of MFA figures in TablesA to G. In particular, trade in goods data in Tables B-E are compiled on the basis of physical goods crossing the national frontier.
8Other assessments and quality reports:
8.a) Do you have national descriptions of the methodology you use? If so please provide them.
No
8.b) Do you have national quality reports already available? If so please provide them.
No
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Annex 1: Sources of data for Table A 'Domestic extraction' by material categories
Characteristics Table A / Data sourcesCode / Label / Please specify the exact data source (add URL or hyperlink if possible) / Is it a national data source? (yes/no) / Is it an inter-national data source?
(yes/no) / Please explain which positions in your national data source classification were grouped and assigned to the respective MF category (in particular for biomass and non-metallic minerals)
1.1.1 / Cereals / CSO Agriculture Division / Yes / No
1.1.2 / Roots, tuber / CSO Agriculture Division / Yes / No
1.1.3 / Sugar crops / CSO Agriculture Division / Yes / No
1.1.4 / Pulses / CSO Agriculture Division / Yes / No
1.1.5 / Nuts / CSO Agriculture Division / Yes / No
1.1.6 / Oil-bearing crops / CSO Agriculture Division / Yes / No
1.1.7 / Vegetables / CSO Agriculture Division / Yes / No
1.1.8 / Fruits / CSO Agriculture Division / Yes / No
1.1.9 / Fibres / CSO Agriculture Division / Yes / No
1.1.10 / Other crops n.e.c. / CSO Agriculture Division: Department of Agriculture , Food and Marine and the Irish Christmas Tree Growers Association / Yes / No
1.2.1.1 / Straw / CSO Agriculture Division / Yes / Yes
1.2.1.2 / Other crop residues / CSO Agriculture Division / Yes / Yes
1.2.2.1 / Fodder crops / CSO Agriculture Division / Yes / No
1.2.2.2 / Grazed biomass / CSO Agriculture Division / Yes / No
1.3.1 / Timber (roundwood) / External Consultant / Yes / No
1.3.2 / Wood fuel / External Consultant / Yes / No
1.4.1 / Wild fish catch / Sea Fisheries Protection Agency / Yes / No
1.4.2 / Other aquatic / United Nations Food and Agriculture Organisation / No / Yes
1.4.3 / Hunting and gathering / Not Applicable
2.1 / Iron / Not Applicable
2.2.1 / Copper / Not Applicable
2.2.2 / Nickel / Not Applicable
2.2.3 / Lead / The Department of Communications, Energy and Natural Resources / Yes / No
2.2.4 / Zinc / The Department of Communications, Energy and Natural Resources / Yes / No
2.2.5 / Tin / Not Applicable
2.2.6 / Gold, silver, platinum, other precious metals / The Department of Communications, Energy and Natural Resources / Yes / No
2.2.7 / Bauxite, aluminium / Not Applicable
2.2.8 / Uranium, thorium / Not Applicable
2.2.9 / Other non-ferrous n.e.c / Not Applicable
3.1 / Marble, granite, sandstone, etc. / CSO PRODCOM Statistics / Yes / No
3.2 / Chalk and dolomite / CSO PRODCOM Statistics / Yes / No
3.3 / Slate / CSO PRODCOM Statistics / Yes / No
3.4 / Chemical and fertiliser minerals / CSO PRODCOM Statistics / Yes / No
3.5 / Salt / CSO PRODCOM Statistics / Yes / No
3.6 / Limestone and gypsum / Limestone figures are taken from CSO PRODCOM Statistics. Gypsum figures are taken from the British Geological Survey’s European Mineral Statistics publications. Crushed Rock figures are compiled using Road Freight Survey transport data concerning the delivery of goods to road works and building sites / Yes / Yes
3.7 / Clay and kaolin / CSO PRODCOM Statistics / Yes / Yes
3.8 / Sand and gravel / CSO PRODCOM Statistics supplemented by Road Freight Survey figures for the volume of goods delivered to road works and building sites. / Yes / No
3.9 / Other non-metallic n.e.c / CSO PRODCOM Statistics / Yes / Yes
3.10 / Excavated earth used (optional) / Not Applicable
4.1.1 / Lignite / Not Applicable
4.1.2 / Hard coal / Not Applicable
4.1.3 / Oil shale, tar sands / Not Applicable
4.1.4 / Peat / The Sustainable Energy Authority of Ireland / Yes / No
4.2.1 / Crude oil, NGL / Not Applicable
4.2.2 / Natural gas / The Sustainable Energy Authority of Ireland / Yes / No
Annex 2: Estimation methods for data ofTable A 'Domestic Extraction' for which no statistical data sources exist
Characteristics Table A / Estimation methodsCode / Label / Do you use the Eurostat estimation approach recommended in the EW-MFA compilation guide?
(yes/no) / Have you developed your own estimation approach?
(yes/no) / Please explain briefly the estimation approach including possible data sources for auxiliary data? / Please specify coefficients used (if not Eurostat coefficients)?
1.1.1 / Cereals
1.1.2 / Roots, tuber
1.1.3 / Sugar crops
1.1.4 / Pulses
1.1.5 / Nuts
1.1.6 / Oil-bearing crops
1.1.7 / Vegetables
1.1.8 / Fruits
1.1.9 / Fibres
1.1.10 / Other crops n.e.c.
1.2.1.1 / Straw / Yes / No / Cereal production figures are supplied by CSO Agriculture Division. These are then transformed into Straw figures by the application of Eurostat Harvest factors and Recovery Rates
1.2.1.2 / Other crop residues / Yes / No / Sugar Beet, Fodder Beet and Oilseed Rape figures are supplied by CSO Agriculture Division. These are then transformed into Used Crop Residue figures by the application of Eurostat Harvest factors and Recovery Rates
1.2.2.1 / Fodder crops / No / Yes / Fodder crop figures are supplied by CSO Agriculture Division and are then transformed using national conversion factors to convert wet weight statistics into dry weight ones.
1.2.2.2 / Grazed biomass / No / Yes / Eurostat’s Supply Side Approach is used. Silage. Hay, Pasture and Rough Grazing data are supplied by CSO Agriculture Division and then are transformed using national yield factors to produce Grazed Biomass figures.
1.3.1 / Timber (roundwood)
1.3.2 / Wood fuel
1.4.1 / Wild fish catch
1.4.2 / Other aquatic
1.4.3 / Hunting and gathering
2.1 / Iron
2.2.1 / Copper
2.2.2 / Nickel
2.2.3 / Lead
2.2.4 / Zinc
2.2.5 / Tin
2.2.6 / Gold, silver, platinum, other precious metals
2.2.7 / Bauxite, aluminium
2.2.8 / Uranium, thorium
2.2.9 / Other non-ferrous n.e.c
3.1 / Marble, granite, sandstone, etc.
3.2 / Chalk and dolomite
3.3 / Slate
3.4 / Chemical and fertiliser minerals
3.5 / Salt
3.6 / Limestone and gypsum
3.7 / Clay and kaolin
3.8 / Sand and gravel
3.9 / Other non-metallic n.e.c
3.10 / Excavated earth used (optional)
4.1.1 / Lignite
4.1.2 / Hard coal
4.1.3 / Oil shale, tar sands
4.1.4 / Peat
4.2.1 / Crude oil, NGL
4.2.2 / Natural gas
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