Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.
Environment Statistics Data Processing Section, Environment Statistics Department
1.3. Contact name
Confidential because of GDPR
1.4. Contact person function
Confidential because of GDPR
1.5. Contact mail address
Central Statistical Bureau of Latvia, Lāčplēša iela 1, Rīga, LV-1001
1.6. Contact email address
Confidential because of GDPR
1.7. Contact phone number
Confidential because of GDPR
1.8. Contact fax number
Confidential because of GDPR
2.1. Metadata last certified
1 February 2023
2.2. Metadata last posted
24 April 2025
2.3. Metadata last update
24 April 2025
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.
In addition, the data contain information on investments for climate change mitigation (CCM). Those investments aim at reducing the emission of greenhouse gases either by source or enhancing the removal from the atmosphere.
EGSS and CCM 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 purpose and 2) economic activity.
The environmental activities are classified by purpose according to the classification of environmental purposes (CEP). 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').
CCM investments comprise a sub-sector of the EGSS as well as activities and products beyond the scope of the CEP.
3.4. Statistical concepts and definitions
Environmental Goods and Service Sector:
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.
Investments for climate change mitigation:
The reporting covers the capital expenditure to reduce the emissions of greenhouse gases (GHG) by source or enhance their removal from the atmosphere by sinks.
Capital expenditure includes:
For activities and products covered by the CEP:
Gross fixed capital formation (GFCF – ESA 2010 code: P51g) for climate change mitigation related characteristic activities (i.e. GFCF for the production of specific services related to climate change mitigation)
GFCF in specific and cleaner and resource efficient goods related to climate change mitigation, unless they are already included in GFCF by CCM (characteristic) activities
and final consumption (ESA 2010 code: P3) in specific and cleaner and resource efficient goods related to climate change mitigation.
For activities and products relevant for CCM but outside the scope of CEP:
GFCF for the production of nuclear energy and for R&D related to nuclear energy
GFCF for the transmission and distribution of energy, in particular electricity
GFCF for the production of low carbon transport activities
GFCF in transport infrastructure for low carbon transport activities.
Where:
GFCF for climate change mitigation characteristic activities is broken down by corporations, government and households together with non-profit institutions serving households (NPISH)
GFCF for specific and cleaner and resource efficient goods, mitigating climate change, is broken down by corporations, government and households together with NPISH
Final consumption of specific and cleaner and resource efficient goods, mitigating climate change, is broken down by government and households together with NPISH.
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 data collection and compilation of private corporations is the establishment. For general government, households and NPISH, 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. Data specifically related to CCM investments in Latvia are available starting from 2021.
3.9. Base period
Not requested for this metadata collection.
Output, gross value added, exports and CCM investments are measured in million units of national currency. Employment is measured in full time equivalents (i.e., full time equivalent jobs).
The reference period for EGSS data is the calendar year.
6.1. Institutional Mandate - legal acts and other agreements
EGSS accounts and CCM investments 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.
7.1. 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:
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 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.
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.
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.
11.1. 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.
12.1. 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.
13.1. Accuracy - overall
Most data is derived directly from National Accounts, or other official statistics.
13.2. Sampling error
EGSS accounts and CCM investments 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 and CCM investments 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.
14.1. 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 31 October 2025. The reporting deadline for EGSS and CCM investments 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 2021-2023 was transmitted to Eurostat on 31 October 2025.
15.1. Comparability - geographical
Data are comparable between geographical areas.
15.1.1. Asymmetry for mirror flow statistics - coefficient
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; 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.
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
EGSS: 2014-2023
CCM investments: 2021-2023
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
The data reported in the questionnaire are internally coherent (totals are consistent with the sum of the breakdowns).
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,
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
EGSS: Using national accounts data in estimation, GVA and employment are directly linked to output.
CCM investments: Data are internally coherent with the ESST and partially with theEPEA.
0.25 FTE
16.1. Cost and Burden - other accounts
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
No revision for previous years was performed in 2025, only slight adjustments were made to theEGSS data (2021, 2022) due to a change in the questionnaire format.
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.
18.1. 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 (CEP 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 Cep classes are taken from EPEA tables.
Energy statistics (statistics from surveys “2-EK”, “1-energy”); ancillary output renewable heat and electricity, market output of production of wood fuel, biodiesel CEP0201;
18.1.1. Source data - detailed - environmental accounts
EGSS: Environmental protection expenditure accounts. Ancillary output and market output for Cep classes are taken from EPEA tables. Data from pefa are used for estimation of produced biomass fuels, and ancillary output from using renewable fuels.
Data sources for CCM investments: The Central Financial and Contract Agency data, the Environmental Investment Fund data, data from National Accounts or other official statistics.
18.1.2. Source data - detailed - other statistics
EGSS: 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. Information from State Construction Control Bureau of Latvia used to calculate CEP0202 (NZEB, buildings with A or A+ energy efficiency class). Data from Development Finance Institution ALTUM used to calculate existing building refurbishment costs.
CCM investments: For Cep050302, publicly available data from the State Forest Service was used, along with data for Low carbon transport activities and infrastructure based on Expenditure on rolling stock and railway infrastructure (Eurostat transport database
18.1.3. Source data - survey
EGSS: We dont have direct egss survey.
CCM investments include data on investments used for Environmental Protection Expenditure Accounts (EPEA), such as the survey "1-VA" ("Report on the Use of Resources for the Protection of Natural Resources and for Environmental Protection [..]")
18.1.4. Source data - detailed - other macro economic data (trade, VAT etc.)
Additional data from the Eurostat database has been taken into account, specifically: "Gross value added and income by detailed industry (NACE Rev. 2)", "Employment by detailed industry (NACE Rev. 2)", "Organic crop area by agricultural production methods and crops", and "Area of wooded land". For the "Cleaner and resource efficient products – energy from renewable sources" category, we additionally utilize the "Production of electricity and derived heat by type of fuel" database.
18.2. Frequency of data collection
Annual
18.3. Data collection
There is no survey on environmental goods and services sector. Data are collected from internal databases from other surveys on enterprise level. National accounts data are collected from official 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
EGSS: 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 (CEP classes) from environmental expenditure accounts .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 (CEP 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.
CCM: CCM Investments based on the data sources at our disposal, allocated according to the Classification of Environmental Protection Activities (CEP).
For investments related to Air and climate protection (CEP 01), the main data source is the Environmental Protection Expenditure Account (EPEA), specifically utilizing data collected through the survey "1-VA" ("Report on the Use of Resources for the Protection of Natural Resources and for Environmental Protection in 2023"). This provides a comprehensive overview of environmental expenditures.
A more detailed breakdown is available for specific activities within CEP 01. For investments in Reduction and control of greenhouse gases via electric transport (CEP 0101), information is sourced from the Environmental Investment Fund. This data covers investments directed towards both households and corporations.
Moving to Resource Management, particularly Energy from renewable sources (CEP 0201), data on installed solar panels are also obtained from the Environmental Investment Fund. For Energy efficient buildings and other efficient energy-demand technologies (CEP 020202), information concerning projects and investments dedicated to improving the energy efficiency of buildings was utilized. Investments directed towards corporations were allocated by NACE sector due to the availability of data identifying the direct recipients of these funds.
A limited amount of information is available for Protection against forest fires (CEP 050302). The relevant data for this purpose are taken directly from the State Forest Service's reports and are attributed to the NACE sector O.
18.5.3. Data compilation - by NACE
Data compilation by Nace are based on the classification of the producer of EGSS goods and activities.
CCM investments data compilation focuses on a subset of characteristic activities and specific durable goods, classified by general government, households and corporations (by Nace).
18.5.4. Data compilation – CReMA 13B memo item
Our data on energy-efficiency measures for NZEB construction is rather limited. The methodology includes data for CEP0202 13B in NACE F 41 and data about the share on energy classification of buildings (energy efficiency class A and A+) from State Construction Control Bureau of Latvia. A default conversion factor of 0.2 is used, assuming 20% of new energy-efficient building costs are related to energy efficiency.
18.6. Adjustment
not applicable
18.6.1. Seasonal adjustment
Not requested for this metadata collection.
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.
In addition, the data contain information on investments for climate change mitigation (CCM). Those investments aim at reducing the emission of greenhouse gases either by source or enhancing the removal from the atmosphere.
EGSS and CCM data are compiled following the statistical concepts and definitions set out in the UN System of Environmental-Economic Accounting 2012 – Central Framework.
24 April 2025
Environmental Goods and Service Sector:
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.
Investments for climate change mitigation:
The reporting covers the capital expenditure to reduce the emissions of greenhouse gases (GHG) by source or enhance their removal from the atmosphere by sinks.
Capital expenditure includes:
For activities and products covered by the CEP:
Gross fixed capital formation (GFCF – ESA 2010 code: P51g) for climate change mitigation related characteristic activities (i.e. GFCF for the production of specific services related to climate change mitigation)
GFCF in specific and cleaner and resource efficient goods related to climate change mitigation, unless they are already included in GFCF by CCM (characteristic) activities
and final consumption (ESA 2010 code: P3) in specific and cleaner and resource efficient goods related to climate change mitigation.
For activities and products relevant for CCM but outside the scope of CEP:
GFCF for the production of nuclear energy and for R&D related to nuclear energy
GFCF for the transmission and distribution of energy, in particular electricity
GFCF for the production of low carbon transport activities
GFCF in transport infrastructure for low carbon transport activities.
Where:
GFCF for climate change mitigation characteristic activities is broken down by corporations, government and households together with non-profit institutions serving households (NPISH)
GFCF for specific and cleaner and resource efficient goods, mitigating climate change, is broken down by corporations, government and households together with NPISH
Final consumption of specific and cleaner and resource efficient goods, mitigating climate change, is broken down by government and households together with NPISH.
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 data collection and compilation of private corporations is the establishment. For general government, households and NPISH, the recommendation is to use institutional units and groupings of units as defined in the European System of Accounts (ESA 2010).
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.
Data are presented at national level.
The reference period for EGSS data is the calendar year.
Most data is derived directly from National Accounts, or other official statistics.
Output, gross value added, exports and CCM investments are measured in million units of national currency. Employment is measured in full time equivalents (i.e., full time equivalent jobs).
We estimate output for each services or product separately, depends on data source.
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 (CEP 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 Cep classes are taken from EPEA tables.
Energy statistics (statistics from surveys “2-EK”, “1-energy”); ancillary output renewable heat and electricity, market output of production of wood fuel, biodiesel CEP0201;
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.
