Environmental goods and services sector (env_egs)

Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: National Institute of Statistics Romania


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)



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1. Contact Top
1.1. Contact organisation

National Institute of Statistics Romania

1.2. Contact organisation unit

Department of agriculture and environment statistics

1.5. Contact mail address

corina.dumitrascu@insse.ro


2. Metadata update Top
2.1. Metadata last certified 31/10/2023
2.2. Metadata last posted 16/04/2024
2.3. Metadata last update 16/04/2024


3. Statistical presentation Top
3.1. Data description

 The environmental goods and services sector (EGSS) accounts report on an economic sector that generates goods and services produced for environmental protection or the management of natural resources.

Products for environmental protection prevent, reduce and eliminate pollution or any other degradation of the environment. Examples are electric vehicles, catalysts and filters to decrease pollutant emissions, wastewater and waste treatment services, noise insulation works or restoration of degraded habitats.

Products for resource management safeguard the stock of natural resources against depletion. Examples are renewable energy production, energy-efficient and passive buildings, seawater desalinization or rainwater recovery, and materials recovery.

EGSS accounts provide data on output and export of environmental goods and services and on the value added of and employment in the environmental goods and services sector.

EGSS data are compiled following the statistical concepts and definitions set out in the UN System of Environmental-Economic Accounting 2012 – Central Framework.

3.2. Classification system

Data are reported cross-classified by 1) the type of environmental protection or resource management activity and 2) economic activity. Environmental protection activities are classified by environmental domain as set out in the Classification of Environmental Protection Activities - CEPA. Resource management activities are classified as set out in the Classification of Resource Management Activities - CReMA. see the revised CEPA and CReMA explanatory notes for detail. Economic activity is classified according to the Statistical Classification of Economic Activities in the European Community, Rev. 2 (2008).

3.3. Coverage - sector

EGSS comprises a sector of the economy that produces goods and services aimed at environmental protection and resource management (see SEEA CF 2012 chapter 4). Environmental goods and services either reduce environmental pressures or help maintaining the stock of natural resources or they are designed to be cleaner and more resource efficient than conventional products. Environmental goods and services can be produced by corporations, households, governments and non-profit institutions. The list of environmental activities and products has been set out in the Commission Implementing Regulation (EU) 2015/2174 ('the indicative compendium of environmental goods and services').

3.4. Statistical concepts and definitions

EGSS has the same system boundaries as the European System of Accounts (ESA 2010) and consists of all environmental products within this production boundary. ESA defines production as the activity carried out under the control and responsibility of an institutional unit that uses input of labour, capital, goods and services to produce output of goods and services.

Only goods and services produced for environmental purposes are included in the scope of the environmental goods and services sector.

'Environmental purpose' means that a good or service helps either 1) preventing, reducing and eliminating pollution and any other degradation of the environment or 2) preserving and maintaining the stock of natural resources and hence safeguarding against depletion.

The EGSS statistics aim at compiling data for the following economic variables:

Output: consists of products that become available for use outside of the producer unit, any goods and services produced for own final use and goods that remain in the inventories at the end of the period in which they are produced. Apart from market output, output for own final use and non-market output, EGSS statistics also include ancillary output, comprising output intended for use within an enterprise.

Market output is to be valued at basic prices, that is, the prices receivable by the producer from the purchaser minus taxes and plus subsidies on products.
Output for own final use is to be valued at basic prices of similar products sold on the market or by the total costs of production.
Non-market output is to be estimated by the total costs of production.
Ancillary output is measured as a total of recurrent production costs (such as intermediate consumption, compensation of employees and consumption of fixed capital) incurred by enterprises to: 1) reduce environmental pressures arising from their production process or 2) produce environmental goods or services not intended for use outside the enterprise, but instead supporting other (non-environmental) activities undertaken within the enterprise (e.g. waste management services carried out in-house). For market producers, a mark-up for net operating surplus is added to the value of the EGSS ancillary output.
Gross Value Added: represents the contribution made by the production of environmental goods and services to GDP. It is the difference between the value of the output and intermediate consumption.

Employment: is measured in full-time equivalent jobs engaged in the production of output of environmental goods and services. Full-time equivalent is defined as total hours worked divided by the average annual working hours in a full-time job.

Exports: consist of sales, barter, gifts, or grants, of environmental goods and services from residents to non-residents.

3.5. Statistical unit

Council Regulation (EEC) No 696/93 of 15 March 1993 on the statistical units for the observation and analysis of the production system in the Community describes the different statistical units of the production system.

The recommended statistical unit for the collection and compilation of EGSS statistics (excluding general government) is the establishment. For general government, the recommendation is to use institutional units and groupings of units as defined in the European System of Accounts (ESA 2010).

3.6. Statistical population

The statistical population is the national economy as defined in SEEA CF 2012 and the European System of Accounts (ESA 2010). It includes all economic activities undertaken by resident units.

3.7. Reference area

Romania

3.8. Coverage - Time

2014-2021

3.9. Base period

Not requested for this metadata collection.


4. Unit of measure Top

Output, gross value added, and exports are measured in million units of national currency. Employment is measured in full time equivalents (i.e., full time equivalent jobs).


5. Reference Period Top

The reference period for EGSS data is the calendar year.


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

EGSS accounts are compiled and reported in accordance with Regulation (EU) No. 691/2011 on European environmental economic accounts (EEEA).

The EEEA follow internationally agreed concepts and definitions set out in the SEEA Central Framework (2012), the international statistical standard adopted by the UN Statistical Commission. They present data in a way that is compatible with National Accounts (ESA, 2010).

6.2. Institutional Mandate - data sharing

Not applicable in national level this information is required at European level only


7. Confidentiality Top
7.1. Confidentiality - policy

LAW 226/2009 on the organisation and functioning of official statistics in Romania updated with subsequent amendments;

REGULATION (EC) No 223/2009 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 11 March 2009 on European statistics and repealing Regulation (EC, Euratom) No 1101/2008 of the EuropeanParliament and of the Council on the transmission of data subject to statistical confidentiality to the Statistical Office of the European Communities, Council Regulation (EC) No 322/97 on Community Statistics, and Council Decision 89/382/EEC, Euratom establishing a Committee on the StatisticalProgrammes of the European Communities;

Council Regulation (EEC) No 3924/91 of 19 December 1991 on the establishment of a Community survey of industrial production

7.2. Confidentiality - data treatment

The confidential data are marked with the footnote c), following the instructions of the footnotes in the questionnaire.


8. Release policy Top
8.1. Release calendar

National release calendar for EGSS data: 15/01/2024 TEMPO (NIS online database), 20/12/2023 annual publication on environmental economic accounts.

8.2. Release calendar access

https://insse.ro/cms/files/legislatie/programe%20si%20strateg/2023/PSNA_2023_MO_177bis_HG_161_2023%20.pdf

8.3. Release policy - user access

The data are available in the publication Environmental economic accounts and in the online TEMPO database.


9. Frequency of dissemination Top

National release calendar for EGSS data: 15/01/2024 TEMPO (NIS online database), 20/12/2023 annual publication on environmental economic accounts.

Data are disseminated annually.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

Not applicable

10.2. Dissemination format - Publications

Annual publication: Environmental economic accounts

https://insse.ro/cms/sites/default/files/field/publicatii/conturi_economice_de_mediu_11.pdf

10.3. Dissemination format - online database

Online TEMPO database:

http://statistici.insse.ro:8077/tempo-online/#/pages/tables/insse-table

10.3.1. Data tables - consultations

Not requested for this metadata collection.

10.4. Dissemination format - microdata access

Not applicable

10.5. Dissemination format - other

No other disemination format

10.5.1. Metadata - consultations

Not requested for this metadata collection.

10.6. Documentation on methodology

http://statistici.insse.ro:8077/tempo-online/#/pages/tables/insse-table

10.6.1. Metadata completeness - rate

Not requested for this metadata collection.

10.7. Quality management - documentation

Not applicable 


11. Quality management Top
11.1. Quality assurance

To ensure the quality of data EGSS, we validate data throught double check with data providers and assurance of fully correlation with data sources.

11.2. Quality management - assessment

There is a continuous quality improvement process of EGSS due to analyzes and decisions have made following annual discussions with data providers and suggestions of the Eurostat.


12. Relevance Top
12.1. Relevance - User Needs

Ministry of Environmental, Waters and Forests is the main user. The most required variables by users are output and employment.

12.2. Relevance - User Satisfaction

NA

12.3. Completeness

The output, export, GVA and employment sheets: almost 100% for entire period transmitted for A-F, H, M and O NACE Rev.2.

12.3.1. Data completeness - rate

Not requested for this metadata collection.


13. Accuracy Top
13.1. Accuracy - overall

All our data are already checked for accuracy. We ensured a high level of accuracy for the data reported through reassessment of data sources, performed by analysis and study of relevant methodological documents required in elaborating the EGSS and evaluation of the EP field in Romania. We analyzed the linkage between the Romanian NA system and the environmental accounts, according to the indicators requested by Eurostat (output, GVA, export and own final use). We carried out a comparative analysis between data collected from the three available data sources (NA, EPE survey and EPEA), we identified and we analyzed the differences.

We identified those variables, which cannot be collected from any of the three data sources used and we identified the estimation methods, based on data mention above, that ensuring a high level of accuracy for estimated data.

We analyzed the data sources and their quality, studying the data collection methods in order to harmonize the informations.

The cooperation with the NA, EPE and EPEA experts brought significant benefits.

13.2. Sampling error

EGSS accounts are compiled using a range of primary statistical sources. The sampling and non-sampling errors are described in the metadata of the underlying statistical data.

13.2.1. Sampling error - indicators

Not requested for this metadata collection.

13.3. Non-sampling error

EGSS accounts are compiled using a range of primary statistical sources. The sampling and non-sampling errors are described in the metadata of the underlying statistical data.

13.3.1. Coverage error

Not requested for this metadata collection.

13.3.1.1. Over-coverage - rate

Not requested for this metadata collection.

13.3.1.2. Common units - proportion

Not requested for this metadata collection.

13.3.2. Measurement error

Not requested for this metadata collection.

13.3.3. Non response error

Not requested for this metadata collection.

13.3.3.1. Unit non-response - rate

Not requested for this metadata collection.

13.3.3.2. Item non-response - rate

Not requested for this metadata collection.

13.3.4. Processing error

Not requested for this metadata collection.

13.3.5. Model assumption error

Not requested for this metadata collection.


14. Timeliness and punctuality Top
14.1. Timeliness

Romania transmits the data to Eurostat every year in October covering the years 2014 - n-2 (n = current year).

The average production time for data is 12 months.

14.1.1. Time lag - first result

Not applicable

14.1.2. Time lag - final result

Not applicable

14.2. Punctuality

The data were delivered to Eurostat on 31/10/2023. The reporting deadline for EGSS to Eurostat is 31 October. 

 

14.2.1. Punctuality - delivery and publication

No lag between the actual delivery of the data and the target date when it should have been delivery


15. Coherence and comparability Top
15.1. Comparability - geographical

Data on EGSS are compiled according to harmonised guidelines provided by Eurostat and hence comparable across European countries reporting EGSS data to Eurostat.

15.1.1. Asymmetry for mirror flow statistics - coefficient

Not requested for this metadata collection.

15.1.2. Comparability - geographical - excluded products
15.1.3. Comparability - geographical - products not present in Indicative compendium - included
15.2. Comparability - over time

We used the same data source for variables: GVA and export, and part of employment.

15.2.1. Length of comparable time series

We used the same data source for variables: GVA and export, and part of employment.

15.2.2. Comparability - over time detailed
15.3. Coherence - cross domain

We ensure coherence of EGSS results with EPEA because EPEA use the same data sources, and we used EPEA data for calculate ancillary output

We compare the EGSS results with NA because is the main data source for EGSS.

15.3.1. Coherence - sub annual and annual statistics

Not applicable; reported EGSS data are only annual.

15.3.2. Coherence - National Accounts

No accuracy or coherence problems

15.3.3. Coherence - EPEA
15.3.4. Coherence - other statistics
15.4. Coherence - internal

We compare the EGSS results with NA because is the main data source for EGSS.


16. Cost and Burden Top

1.3 full-time equivalents work on the production of the EGSS accounts.

16.1. Cost and Burden - other accounts

1.3 full-time equivalents work on the production of the EGSS accounts.


17. Data revision Top
17.1. Data revision - policy

NIS has a revision policy which defines the standard rules and the principles for statistical data revision.

17.2. Data revision - practice

Due the revision of for supply-use table from National Accounts

Due the revision of for consumption of fixed capital from National Accounts

Due the revision of EPEA

At the suggestion of colleagues from Eurostat when validating the 2021 data

 

 

17.2.1. Data revision - average size

Due the revision of for supply-use table and consumption of fixed capital from National Accounts, for 2014-2016, we revised data for:
output, except NACE Rev. 2 01-02 (CReMA4 and CReMA11)
GVA, except NACE Rev. 2 01-02 (CReMA4 and CReMA11)
export, except NACE Rev. 2 01-02 (CReMA4 and CReMA11)
employments except except NACE Rev. 2 01-02 (CReMA4 and CReMA11)

Due the revision of EPEA - NACE Rev. 2 84, for 2016-2020

At the suggestion of colleagues from Eurostat last validation data for NACE Rev.2 19: outout, GVA, export and employments for 2014-2020

17.2.2. Status of data


18. Statistical processing Top
18.1. Source data

PRODROM: (Industrial Products and Services) database was use for obtain data on the environmental output for environmental products; also, classification PRODROM covers NACE Rev.2 classes 35.1, 35.2, and 35.3, data on renewable energy. In addition, PRODROM data are used to estimate the investment for production of biofuels, and for calculate electric and more resource-efficient transport equipment.
Environmental Protection Expenditure Survey (EPE) - For calculate the end-of-pipe technologies investments and investments in integrated technologies for NACE Rev.2 26, 27, 28, 29+30, 41-43. In addition, we use data from EPE survey for calculate output of environmental protection services for NACE Rev2: 31-33, 35, 37-39, 41-43 and starting with 2017 (and for 2020 provisional data) for NACE Rev.2 7112, 72 and 7490. In addition, we use data from EPE Survey for summing-up of CEPA 7, CEPA 8 and CEPA 9. Also, we use data from EPE Survey for output services of energetic refurbishment and construction of new energy-efficient buildings
EPEA: are used for calculate output of environmental services for NACE Rev. 2 36. In addition, ancillary output EGSS was calculate based on EPEA ancillary output and National Accounts data according to EGSS Practical Guide formula.
National Accounts. We use National Accounts data on General Government Expenditure by function (COFOG) - Table 11 ESA 2010, for the period 2014-2019 (and for 2020 provisional data). The Supply-Use Balance provides the Final consumption of EP. The breakdown of total Final consumption of EP services by all CEPA domains was made according to the share of each CEPA domain in the total current internal expenditure. In addition, we used NA data for calculate GVA and Export for EGSS.
Forestry Accounts: for calculate output and employment of management of forest area (CReMA 11)
Agriculture Statistics: for calculate output, employment and GVA for organic farming (CEPA 4)
Labor force statistics: to calculate employment for EGSS.
Structural Busines Survey: for calculate intermediate consumption for specialized producers

18.1.1. Source data - detailed - environmental accounts

Supply-use tables in current prices (including production account and generation of income account) by NACE Rev.2 divisions, according to ESA 2010.
Production account and generation of income account by classes NACE Rev. 2 and by institutional sectors, according ESA 2010.
Based on national accounts data, we estimate net operating surplus for specialized producers NACE Rev. 2: 37, 38, 39, 7112 and 7490.

For calculate ancillary output for NACE Rev.2. 01-03, 05-08, 10-33, 35, 36, 41-43, 49-53.

18.1.2. Source data - detailed - other statistics

Based on the SBS data we estimated the data on the homogeneous branch to comply with the ESA 2010 principles.

EPEA - for calculate ancillary output for NACE Rev.2. 01-03, 05-08, 10-33, 35, 36, 41-43, 49-53.

EPEA - for calculate output for NACE Rev.2 84
Forestry Accounts data for calculate output and employment of management of forest area (CReMA 11)

Agriculture Statistics data for calculate Output, GVA and Employment for organic farming (CEPA 4).
Labor force statistics to calculate employment for EGSS

18.1.3. Source data - survey

Not applicable

18.1.4. Source data - detailed - other macro economic data (trade, VAT etc.)

Not applicable

18.2. Frequency of data collection

Annual

18.3. Data collection

We collected data from inside of organization

18.4. Data validation

We ensure the proper quality of data source by checking them with the previous years data

18.5. Data compilation

We considered the share of environmental products/activities taking into account the life cycle of the product analyzing as cradle to grave approach:
-the row material of product
-the scope of product
-possibility of waste recycling/recovery after the product is out of use

Output:

The main source for compilation of output is PRODROM, which provides “Total Production” - the volume of all production by product, the value and volume of the production sold.
Using both, production measures volume and value by product (code with 9 digits) we obtain a basic price.
Therefore, we apply this price to total production volume correspondence with each product in order to compute the production value (output) at basic price.
For specialized producers - Output for specialized producers (NACE Rev. 2 37, 38, 39, 7112 and 7490) is valued at the total costs of production, i.e. the sum of intermediate consumption, compensation of employees, consumption of fixed capital, net operating surplus and other taxes on production less other subsidies on production.
For Central and Local public administration - EPEA provide us total output data. EPE survey was data source for compilation of EPEA market output (indicators named Own revenues of public institutions for Central public administration and Revenues from EP services provided to third parties for Local public administration) and Intermediate consumption: of which EP services (indicators named EP services purchased for Central public administration and Current external expenditure for Local public administration).
For those environmental domains (CEPA 2000) which does not have correspondence in division 05 of COFOG (GF 05 ‒ EP), respectively GF 05.3 (sum CEPA 1+4+5+7), we established the estimating procedure for 2014 and 2015.
For agriculture, the output was calculated based on the specific statistics, using NIS’s agricultural statistics to calculate the share of land used for organic farming in total utilized agricultural area, which considered splitting agricultural output into output from organic farming and from conventional farming.
For output for CReMA 11 (management of forest resources), we used Forestry Accounts data.

For cleaner and resource efficient products and other (connected) products, we calculate output based on PRODROM data. Based on EPE survey data we calculate environmental specific services for specialized producers and for NACE Rev.2  35, 31-33, 41-43, 71 and 74.

Following the discussion with the NA experts and the analysis of the supply-use tables, we identified the method of estimating non-market output for specialized producers (NACE Rev. 2 E 37, 38, 39, 7112, 7490).
For this, we used data from supply-use tables (P.11 market output, P.13 non-market output) and data from EPE survey linked with market output. To obtain data for market and non-market output for specialized producers: NACE Rev. 2 - 37, 38, 39, 7112, 7490 we also use data from EPE Survey.
For this reason, we preferred to calculate using EPE survey data, instead of make the shares from total output from EPEA.
"EP output" for specialized producers (NACE Rev. 2 37, 38, 39, 7112, 7490) is valued at the total costs of production, i.e. the sum of intermediate consumption, compensation of employees, consumption of fixed capital, net operating surplus and other taxes on production less other subsidies on production. The total "market output" for specialized producers was estimated: in a first stage we calculated "EP output" (see above); after this, we calculated the share of "market output" (P.11) in "total output" (P.1 production of goods and services) from NA. This share was applied at the "EP output". The difference of "EP output" and "Market output" represents "Non-market output".

Ancillary output EGSS was calculated based on EPEA data and National Accounts data, according to EGSS Practical Guide 2016 (p.68). For computing ancillary output, we estimated consumption of fixed capital ‒ NA_P51C and net operating surplus and mixed income ‒NA_B2A3N for EP based on NA data and we used share of intermediate consumption from EPE survey in intermediate consumption from NA.
Output produced for own final use consist of goods or services that are retained either for own final consumption or for capital formation by the same institutional unit. Starting with data provided by supply use tables from NA we used the share of own final use in market output from NA for estimation of the EGSS own final use.

18.5.1. Imputation - rate

Not requested for this metadata collection.

18.5.2. Data compilation - by variable and type of output
18.5.3. Data compilation - by NACE
18.5.4. Data compilation – CReMA 13B memo item

We compile data for energy efficiency related measures for construction of nearly zero energy buildings using EPE Survey data sources, breakdown by classes, respectively NACE Rev. 2.  1623, 4120, 4321, 4322, 4331, 4332, 4333, 4391 classes, and we allocated to CReMA13B. Manufacture of other builders carpintery and joinery; construction on residential and non-residential buildings; electrical installation; plumbing, heat and air-conditioning installation; other construction installation; buildings completion and finishing; other specialized construction activities.

18.6. Adjustment

Not applicable.

18.6.1. Seasonal adjustment

Not requested for this metadata collection.


19. Comment Top


Related metadata Top


Annexes Top