Environmental goods and services sector (env_egs)

Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: Central Statistical Bureau of Latvia


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

Central Statistical Bureau of Latvia

1.2. Contact organisation unit

Environment and Energy Statistics Section, Agricultural and Environmental Statistics Department

1.5. Contact mail address

Central Statistical Bureau of Latvia, Lāčplēša iela 1, Rīga, LV-1001


2. Metadata update Top
2.1. Metadata last certified 01/02/2023
2.2. Metadata last posted 01/02/2023
2.3. Metadata last update 01/02/2023


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

Data are presented at national level. 

3.8. Coverage - Time

Data on environmental goods and services sector in Latvia are available since 2014

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.


7. Confidentiality Top
7.1. Confidentiality - policy

At EU level:

Regulation (EC) No 223/2009 of the European Parliament and of the Council, of 11 March 2009, on the transmission of data subject to statistical confidentiality to the Statistical Office of the European Communities.
At national level:

Statistics Law (in force since 4 June 2015), Section 17.

7.2. Confidentiality - data treatment

Published data should not allow identification of single consumers.

Central Statistical Bureau of Latvia (CSB) does not disclose the data which by their nature might be subject to commercial confidentiality. Pursuant to the requirements of national legislation, Section 17 of the Statistics Law, Section 5 and 16 of the Freedom of Information Law, Sections 6, 7 and 27 of the Personal Data Protection Law, and in accordance with the item 5 of the CSB Quality Guidelines, CSB provides confidentiality and protection of information given by respondents, as well as individual information received from other sources.

 


8. Release policy Top
8.1. Release calendar

10.01.2024

8.2. Release calendar access

CSB website: https://stat.gov.lv/en/calendar?Dates=%22Next%20year%22

 

8.3. Release policy - user access

Environmental goods and services sector data in Latvia are published on the CSB website under the heading Environment and Energy - Environment – Production, value added, exports and employment in the environmental goods and services sector (NACE Rev. 2), (million EUR). The statistics is published in accordance with the Statistics Law and the European Statistics Code of Practice, respecting the professional independence and aimed at objectivity, transparency and equal treatment of all consumers. The statistical information published by the CSB is accessible to all data users at the same time and under the same conditions


9. Frequency of dissemination Top

See concept 8.1


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

There is no national press release on the data.

10.2. Dissemination format - Publications

There is no publications

10.3. Dissemination format - online database

Data are available to all users on the CSB website database in section Environment https://stat.gov.lv/en/statistics-themes/environment/environmental-accounts/tables/vip020-production-value-added-exports?themeCode=VI 

10.3.1. Data tables - consultations

Not requested for this metadata collection.

10.4. Dissemination format - microdata access

microdata are not disseminated.

10.5. Dissemination format - other

Currently, data are not disseminated in other ways.

10.5.1. Metadata - consultations

Not requested for this metadata collection.

10.6. Documentation on methodology

https://stat.gov.lv/en/metadata/3011-environmental-goods-and-services-sector-accounts 

10.6.1. Metadata completeness - rate

Not requested for this metadata collection.

10.7. Quality management - documentation

All quality documentation of Latvian official statistics and CSB is available on the CSB website in the section Documents – National Statistical System of Latvia –Quality assurance framework. The section includes, e.g., Quality Policy of CSB, Statistical Dissemination Policy, Revision Policy, Quality Policy of the National Statistical System of Latvia, Memorandum of Understanding for Implementation of Quality Policy of the NSS of Latvia.

 


11. Quality management Top
11.1. Quality assurance

On 29 November 2018, CSB gained ISO 9001:2015 standard certificate “Quality Management Systems – Requirements”. The certification refers to the production of official statistics – planning, data acquisition, processing, analysis, and dissemination. 

11.2. Quality management - assessment

Overall data quality is good. 


12. Relevance Top
12.1. Relevance - User Needs

Not applicable

12.2. Relevance - User Satisfaction

Not applicable

12.3. Completeness

Not applicable

12.3.1. Data completeness - rate

Not requested for this metadata collection.


13. Accuracy Top
13.1. Accuracy - overall

Most data is derived directly from National Accounts, or other official statistics. 

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

22 month

14.1.1. Time lag - first result

22 month

14.1.2. Time lag - final result

25 month

14.2. Punctuality

The data were delivered to Eurostat on 03.11.2023 and 09.11.2023. The reporting deadline for EGSS to Eurostat is 31 October. 

 

14.2.1. Punctuality - delivery and publication

The legal deadline for submitting the questionnaire is the twenty-second month after the reference period. Data covering 2019-2021 was transmitted to Eurostat three days later.


15. Coherence and comparability Top
15.1. Comparability - geographical

Data are comparable between geographical areas.

15.1.1. Asymmetry for mirror flow statistics - coefficient

Not requested for this metadata collection.

15.1.2. Comparability - geographical - excluded products

No data found or it doesn't exist in Latvia about production of these products and services:
Drainage water capturing services to prevent groundwater contamination;
Electric and more resource-efficient transport equipment;
Tubes and pipes for wastewater treatment plants as well as for water management;
Discharge lamps as low-pressure lamps (e.g. compact fluorescent lamps) and the most efficient domestic appliances;
Machinery for metal recovery;
Nuclear waste treatment and disposal services;
Desalinated water and collected rainwater; maintenance of water mains for reducing water losses;
Noise insulation works.
Energy efficient and zero emissions buildings.
data about Engineering and architectural services are not estimated.

15.1.3. Comparability - geographical - products not present in Indicative compendium - included

not applicable

15.2. Comparability - over time

Overall data in time series are calculated based on the same methodology and are comparable. Due to the fact that forest accounts were no longer collected in 2016, which was the basis for calculations of output (Crema 11 for Nace A), starting 2016  those data were estimated as output for Nace 02.01 and 02.40 applying share for forest land with PEFC certificate.

15.2.1. Length of comparable time series

2014-2021

15.2.2. Comparability - over time detailed

Due to the fact that forest accounts were no longer collected in 2016, which was the basis for calculations of output (Crema 11 for Nace A), starting 2016  those data were estimated as output for Nace 02.01 and 02.40 applying share for forest land with PEFC certificate.

15.3. Coherence - cross domain

.

15.3.1. Coherence - sub annual and annual statistics

Not applicable. there is no sub annual data

15.3.2. Coherence - National Accounts

National accounts data are one of data source for the estimates,

15.3.3. Coherence - EPEA

EPEA data are taken as a source for EGSS estimates

15.3.4. Coherence - other statistics

We dont compare EGSS results with business, energy, agricultural and foreign trade statistics. Business, energy and foreign trade statistics are used as data sources for EGSS.

15.4. Coherence - internal

Using national accounts data in estimation, GVA and employment are directly linked to output.


16. Cost and Burden Top

0.25 FTE

16.1. Cost and Burden - other accounts


17. Data revision Top
17.1. Data revision - policy

If errors are found then the data are corrected. Also when National accounts revised their data, we revised data also accordingly.

17.2. Data revision - practice

The availability of new source data or or revised national accounts data or calculation error are the main reasons for revisions. 

17.2.1. Data revision - average size

Data for 2019-2020 were revised as national accounts were revised- output and GVA, so the ratios changed for different naces. Data on emplyment and gross value added were recalculated for nace 37, 38 and 39.

17.2.2. Status of data

Data are final.However, it is planned that there will be revisions in the next reporting due to annual revisions in national accounts data.


18. Statistical processing Top
18.1. Source data

Business register; (used for estimation of market output for sustainable tourism and sustainable forestry),

Supply -Use tables; used for estimation market output from production of renewable heat and electricity;
General government environmental expenditure by function; nonmarket and market output for Nace 84 (Cepa classes)

Structural business statistics. Used for estimation market output from production of renewable heat and electricity, employment data.

Environmental protection expenditure accounts. Ancillary output and market output for Cepa classes are taken from EPEA tables.

Agriculture statistics, organic farming-market output CEPA4 

Energy statistics (statistics from surveys “2-EK”, “1-energy”); ancillary output renewable heat and electricity, market output of production of wood fuel, biodiesel CReMA 13;
Production statistics (annual survey „1-industry”); market output;
Foreign trade statistics; exports

18.1.1. Source data - detailed - environmental accounts

Environmental protection expenditure accounts. Ancillary output and market output for Cepa classes are taken from EPEA tables. Data from pefa are used for estimation of produced biomass fuels, and ancillary output from using renewable fuels.

18.1.2. Source data - detailed - other statistics

For services it mainly data from surveys for whole NACE (environmental expenditure survey, EPEA, energy statistics survey). Data on products were compiled using production statistics by product and company – from annual survey „1-industry „Survey on output and sale of kinds of industrial production””. Products which are considered as 100% environmental were taken directly from survey. The companies producing potentially environmental products were checked one by one for additional info about their production- companies websites, pollution permits etc.

 

18.1.3. Source data - survey

we dont have direct egss survey

18.1.4. Source data - detailed - other macro economic data (trade, VAT etc.)
18.2. Frequency of data collection

Annual

18.3. Data collection

There is no survey on environemntal goods and services sector. Data are collected form internal databases from other surveys on enterprise level. National accounts data are collected from oficcial statistical portal.

18.4. Data validation

The data were compared with data collected from previous years.

18.5. Data compilation

We estimate output for each services or product separately, depends on data source

18.5.1. Imputation - rate

Not requested for this metadata collection.

18.5.2. Data compilation - by variable and type of output

We estimate output for each services or product separately, depends on data source.For services it mainly data from surveys for whole NACE (environmental expenditure survey, EPEA, energy statistics survey). Data on products were compiled using production statistics by product and company – from annual survey „1-industry „Survey on output and sale of kinds of industrial production””. For services it mainly data from surveys for whole NACE (environmental expenditure survey, EPEA, energy statistics survey). Data on products were compiled using production statistics by product and company – from annual survey „1-industry „Survey on output and sale of kinds of industrial production””. Products which are considered as 100% environmental were taken directly from survey. The companies producing potentially environmental products were checked one by one for additional info about their production- companies websites, pollution permits etc.

Non-market output is only for government expenditure (CEPA classes) from environmental expenditure accounts(table1).All other products, enterprises are classified as market activities.

Data on ancillary output were estimated using energy statistics. Data from survey “1-energy “Report on production of heat and electricity"” were used to calculate amount of heat produced from wood fuels and biogas and used for own needs. Then amounts of heat produced was multiplied by average price of heat to get the output value.

All data for ancillary output of environmental protection services (CEPA classes) were taken from environmental expenditure accounts.

For estimation of value added, ratios of value added per employee were calculated for every NACE class at the highest possible level of detail. Then, these ratios of the typical NACE classes were multiplied by the already retrieved employment numbers of the corresponding NACE classes. Data on value added and output for NACE class was taken from national accounts.

Exports of renewable electricity were calculated based on the amount of electricity exported multiplied by average price, then share of renewable electricity was applied.
For other products foreign trade statistics were used. Data were allocated to respective NACE using information from production statistics and energy statistics (for renewable energy products).

Data on employment in full time equivalents were taken from SBS statistics. For estimation of employment in environmental goods and services sector, ratio of total employment of NACE class to total output of NACE class was calculated and then was multiplied by environmental output of respective NACE.

18.5.3. Data compilation - by NACE

Data compilation by Nace are based on the classification of the producer of EGSS goods and activities,

18.5.4. Data compilation – CReMA 13B memo item

We do not have data to compile this item.

18.6. Adjustment

not applicable

18.6.1. Seasonal adjustment

Not requested for this metadata collection.


19. Comment Top


Related metadata Top


Annexes Top