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.
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
Lithuania
3.8. Coverage - Time
From 2010 to 2022
3.9. Base period
Not requested for this metadata collection.
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).
The reference period for EGSS data is the calendar year.
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
There is no sharing of statistical data required for the implementation of the Official Statistics Program. Statistical information is sent to Eurostat.
7.1. Confidentiality - policy
In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality policy guidelines of the State Data Agency (PDF) (Order No DĮ-111, 04-05-2023)
7.2. Confidentiality - data treatment
Statistical Disclosure Control Manual, approved by Order No DĮ-107 of 26 April 2022 of the Director General of Statistics Lithuania;
The State Data Governance Information System Data Security Regulations and Rules for the Secure Management of Electronic Information in the State Data Governance Information System, approved by Order No DĮ-202 of 27 August 2021 of the Director General of Statistics Lithuania.
8.1. Release calendar
Statistical information is published on the Official Statistics Portal according to the Official Statistics Calendar.
Statistical information is prepared and disseminated under the principle of impartiality and objectivity, i.e. in a systematic, reliable and unbiased manner, following professional and ethical standards (the European Statistics Code of Practice), and the policies and practices followed are transparent to users and survey respondents.
All users have equal access to statistical information. All statistical information is published at the same time – at 9 a.m. on the day of publication of statistical information as indicated in the calendar on the Official Statistics Portal. Relevant statistical information is sent automatically to news subscribers.
The President and Prime Minister of the Republic of Lithuania, their advisers, the Ministers of Finance, Economy and Innovation, as well as Social Security and Labour or their authorized persons, as well as, in exceptional cases, external experts and researchers have the right to receive early statistical information. The specified persons are entitled to receive statistical reports on GDP, inflation, employment and unemployment and other particularly relevant statistical reports one day prior to the publication of this statistical information on the Official Statistics Portal. Before exercising the right of early receipt of statistical information, a person shall sign an undertaking not to disseminate the statistical information received before it has been officially published.
Statistical information is published following the Official Statistics Dissemination Policy Guidelines and Statistical Information Dissemination and Communication Rules of Statistics Lithuania approved by Order No DĮ-176 of 2 July 2021 of the Director General of Statistics Lithuania.
Annual
10.1. Dissemination format - News release
Not applicable.
10.2. Dissemination format - Publications
Not applicable.
10.3. Dissemination format - online database
Database of Indicators (Environmental protection and energy -> Environmental protection -> Environmental goods and services sector accounts)
The Indicators Database page is for viewing and analyzing statistical information. For more information on the Indicators Database, see the Indicators Database User Guide.
10.3.1. Data tables - consultations
Not requested for this metadata collection.
10.4. Dissemination format - microdata access
Microdata are available and provided for scientific purposes according to the provisions set in the Description of Procedures for the Provision of Confidential Statistical Data for Scientific Purposes. More information is available on the Official Statistics Portal, at Description of Procedure for Data Depersonalisation and Pseudonymisation (only in Lithuanian)
Statistical information can also be provided upon individual requests (more information is available on the Official Statistics Portal, in section Services).
10.5.1. Metadata - consultations
Not requested for this metadata collection.
10.6. Documentation on methodology
Methodological documents are published on the Official Statistics Portal in the section Environment.
In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. The main trends in activity of Statistics Lithuania aimed at quality management and continuous development in the institution are established in the Quality Policy.
Monitoring of the quality indicators of statistical processes and their results and self-evaluation of statistical survey managers is regularly carried out in order to identify areas which need improvement and to promptly eliminate shortcomings.
More information on assurance of quality of statistical information and its preparation is published in the Quality Management section on the Statistics Lithuania website.
11.2. Quality management - assessment
Data quality is in line with the principles of accuracy and reliability, timeliness and punctuality, coherence and compatibility. The variables are calculated using aggregated data from statistical surveys regulated by the EU and national legislation and meeting respective quality requirements, information from other institutions producing official statistics, administrative data.
12.1. Relevance - User Needs
The main users of statistical information are State authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle. Data on Environmental goods and services sector accounts are important for meeting policy priorities in the areas of green growth and resource efficiency.
12.2. Relevance - User Satisfaction
Since 2005, user opinion surveys have been conducted on a regular basis. Official Statistics Portal traffic is monitored, website visitor opinion polls, general opinion poll on the products and services of Statistics Lithuania, target user group opinion polls and other surveys are conducted.
In 2007, the compilation of a user satisfaction index was launched. The said surveys are aimed at the assessment of the overall demand for and necessity of statistical information in general and specific statistical indicators in particular.
More information on user opinion surveys and results thereof are published in the User Surveys section on the Statistics Lithuania website.
12.3. Completeness
All indicators established by the legislation and their components are published.
12.3.1. Data completeness - rate
Not requested for this metadata collection.
13.1. Accuracy - overall
The survey is based on administrative sources. The quality of administrative data is ensured by searching for out-standing, missing, duplicate values, analyzing the obtained results and, if necessary, editing the data.
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.
14.1. Timeliness
Statistical information is published in 22 months after the end of the reference period.
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 25 October 2024. The reporting deadline for EGSS to Eurostat is 31 October.
14.2.1. Punctuality - delivery and publication
Statistical information is published in accordance with an Official Statistics Calendar. In case of delay, users are notified in advance by indicating the reason and a new date of publication.
15.1. Comparability - geographical
Statistical information is comparable across the EU.
15.1.1. Asymmetry for mirror flow statistics - coefficient
Rehabilitation of mining sites services, Waste collection services of waste resulting from the extraction of raw materials, Drainage water capturing services to prevent groundwater contamination, Remediation and clean-up services for soil and groundwater, Remediation and clean-up services for surface water, Remediation and clean-up services for air, Other remediation and specialised pollution and control services – there are no such activities at all; Instruments, machinery and apparatus for analysis of pollutants, Pumps for use in wastewater treatment, Activated carbon for water filtering purposes, Incinerators and machinery for waste treatment (e.g. used at landfilling sites), Specific equipment for the production of energy from renewable sources: wind turbines, Plaster products for construction purposes, Discharge lamps as low pressure lamps (e.g. compact fluorescent lamps), Reclaimed rubber in primary forms or in plates, sheets or strip – were no produced in the reference year according PRODCOM statistics data, Specific equipment for the production of energy from renewable sources: storage systems for biogas made from high tech textiles, Machinery for metal recovery – not included, it is not clear, how to measure that storage systems is for biogas and machinery is for metal recovery.
Information about Manufacture of lime products for the purpose of environmental protection, Construction of cooling towers and instruments, machinery and apparatus for the treatment of cooling water, Manufacture of bio-plastic products was not included due to the lack of available data sources.
15.1.3. Comparability - geographical - products not present in Indicative compendium - included
15.2. Comparability - over time
Comparability over time is fully guaranteed.
Data for CReMA classes is being collected only from 2021 year in the Environmental expenditure survey (only for CReMA 13A and CReMA 13B meanwhile).
15.2.1. Length of comparable time series
From 2010 to 2022.
15.2.2. Comparability - over time detailed
Data are comparable.
15.3. Coherence - cross domain
Environmental goods and services sector accounts are consistent with the respective indicators based on the System of National Accounts (SNA 2008) and the European System of Accounts (ESA 2010).
15.3.1. Coherence - sub annual and annual statistics
Full comparability is ensured.
15.3.2. Coherence - National Accounts
Environmental goods and services sector accounts are consistent with the respective indicators based on the System of National Accounts (SNA 2008) and the European System of Accounts (ESA 2010).
As regard non-market output EPEA and EGSS reporting are fully aligned. Ancillary values were taken from EPEA. Besides, the ratio of gross operating surplus to output (gop) from NA data on consumption of fixed capital and net operating surplus and mixed income (see EGSS Practical Guide, 2016 edition, p.70) was applied to ancillary output for each NACE category which was examined in the survey (B, C, D, E, F, H). Market output for specialist and secondary producers in EPEA was taken from EGSS.
15.3.4. Coherence - other statistics
15.4. Coherence - internal
The variables (output, export, GVA, employment) are internally coherent (totals are equal to the sum of the breakdowns).
Environmental goods and services sector accounts are compiled using the aggregated data of the statistical surveys (structural business statistics (SBS), foreign trade statistics, statistics on the production of manufactured goods (PRODCOM), labour, energy statistics, national accounts, general government finance, agricultural, education statistics, Statistical Register, environmental protection expenditure survey) and other institutions (State Forest Enterprise, Construction Products Certification Center), data on the "yellow pages" via Internet. No additional surveys are performed and there is no statistical response burden for respondents.
14,2 thousand euros were allocated for the preparation of Environmental Goods and Services Sector accounts in the year 2024.
The results published are final and not revised later. Exceptions – in case of detection of significant errors, changes in classifications, methodologies, appearance of new data sources.
17.2.1. Data revision - average size
not applicable
17.2.2. Status of data
18.1. Source data
Data was obtained from various sources: Environmental protection expenditure survey (The survey population covers enterprises of all legal forms having 5 and more employees, annual) - current expenditure on environmental protection for ancillary values; National accounts data on output and gross value added, supply–use tables; Business Register; Statistics on the production of manufactured goods (PRODCOM); Structural business statistics (SBS) - output, value added and employment in FTE for market variables; Transport statistics; Constructions statistics; Energy statistics - amount of renewable energy produced; Labour statistics -average of annual wage by NACE; Foreign Trade statistics- data on exports of goods of Lithuanian origin; Government finance statistics (ESA 2010 transmission programme Table 11), State and Municipal budget documents for non-market variables; Agriculture statistic for employment in agriculture and for share of organic farming; yellow pages via internet. The costs of state forest managers for forest restoration and development were included as CReMA11A Output to NACE A02 (as state forests cover almost 50% of the whole forest area). (Information about the costs of private owners for forest restoration seems to be not available).
18.1.1. Source data - detailed - environmental accounts
EPEA is used for compiling of ancillary activity variables.
18.1.2. Source data - detailed - other statistics
Agriculture, energy, labour, construction, transport, foreign trade statistics are used, also Statistics on the production of manufactured goods (PRODCOM), Government finance statistics (ESA 2010 transmission programme Table 11)
18.1.3. Source data - survey
not applicable
18.1.4. Source data - detailed - other macro economic data (trade, VAT etc.)
18.2. Frequency of data collection
Annual
18.3. Data collection
Statistical information is received by secure data transmission channel or e-mail from other institutions and other divisions of Statistics Lithuania.
18.4. Data validation
The validation of statistical indicators is carried out by Statistics Lithuania. The results are analysed and compared with the results for the previous year. Additional quality control is carried out by Eurostat.
18.5. Data compilation
The variables are calculated in several stages.
Market activity variables are obtained by combining structural business statistics microdata with statistical data obtained from other divisions of Statistics Lithuania and aggregating them.
The environmental share was calculated for each enterprise in market sector using microdata from SBS, PRODCOM and energy statistics, if it was possible; for the rest enterprises the average share cross-classified by industry (NACE 4 digits level) and CEPA/CReMA classes was applied . Also all information available via internet was used additionally. The same share was used for all EGSS variables/NACE/CEPA and CReMA categories.
The share for the enterprise is fixed over time if there are no changes in enterprise activity or in products produced. The list of population is reviewed every year and the share is updated according the changes in enterprise activity or production if it is needed.
For the calculation of ancillary activity variables, environmental protection expenditure survey data are used.
To compile non-market activity variables, government finance and national accounts macro data are used.
18.5.1. Imputation - rate
Not requested for this metadata collection.
18.5.2. Data compilation - by variable and type of output
The SBS production is used for estimation of market EGSS output. Ancillary output for CEPA classes was taken from environmental expenditure survey. The estimation of EGSS variables in ancillary activities was calculated following Eurostat’s recommendations provided in the EGSS Practical Guide, 2016 edition. The main data source used for the compilation of EGSS general government variables was government finance statistics, i.e. general government expenditure broken down according to the Classification of the Functions of Government (COFOG). The state and municipal budgets were analysed too. For the calculation of the variables required (i.e. output, gross value added and employment), a correspondence table between ESA transactions and the codes of the Economic Classification of Budget Expenditure was mapped. The output of the general government is equal to the costs of production that are the sum of the personnel costs, intermediate consumption, taxes on production and consumption of fixed capital.
In the population list each enterprise is classified according the economic activity, environmental activity, the type of environmental product. Then output of each environmental product is estimated by aggregation data for each type of product. The Excel pivot function is used.
Market output is obtained from SBS data, non-market from data on the General government expenditures by COFOG.
We do not estimate output for own-final use. Data from Environmental protection expenditure survey - current expenditure on environmental protection is used to measure the ancillary output. Besides, the ratio of gross operating surplus to output (gop) from NA data on consumption of fixed capital and net operating surplus and mixed income (see EGSS Practical Guide, 2016 edition, p.70) is applied to ancillary output for each NACE category which was examined in the survey (B, C, D, E, F, H).
Enterprise statistics data were used to estimate market GVA. The value added of ancillary activities was estimated by multiplying the ratio of the market VA to market output by ancillary output. National accounts data on production and GVA was used. General government (GG) gross value added was calculated as a difference between GG output and intermediate consumption (P.2).
In some cases the negative values of GVA are obtained in market sector. The negative value is then measured by zero or the enterprise with negative GVA value is dropped out of the population. Mainly the enterprise is dropped out if the production value is negligible regarding the similar enterprises according evironmental and economic activity.
National accounts data were used for the estimation of EGSS exports. For each CPA product of national accounts’ supply and use tables, the ratio of exports to output was calculated and multiplied by the EGSS output in the corresponding NACE activity. It was assumed that the exports share for a CPA category is an indicator for the export shares of environmental goods and services in the corresponding NACE category. Since export from SUT also includes re-export, an additional analysis of data on exports of goods of Lithuanian origin and exports data from the survey on the production of manufactured goods (PRODCOM) was performed. Then, the ratios of the exports of goods of Lithuanian origin to output from SUT were applied. The same approach was used for industries with a very low share of EGSS production.
Market employment is compiled from SBS statistics in FTE. The variable of employment for the COFOG functions GF04.03 and GF05 was calculated as a ratio of compensation of employees (D.1) to the average wage by employee of the public administrative sector (based on information from labour statistics). Employment data is collected in full-time equivalents (FTEs).
Employment related to the own-account output is not measured. Employment for ancillary activities was estimated as a ratio of internal current expenditure on employees from the environmental expenditure survey to average salary by NACE 2-digit level from labour statistics.
18.5.3. Data compilation - by NACE
The breakdown by NACE is based on the classification of the producer of EGSS goods and activities for the market sector. The variables of non- market sector are classified in NACE O84, except the variables for waste management, which are allocated to non-market values of NACE E38 (according to data of the national accounts). Ancillary variables are allocated according data of Environmental protection expenditure survey - to the NACE B, C, D, E, F, H
18.5.4. Data compilation – CReMA 13B memo item
The construction of new buildings that are certified as ‘nearly zero-energy’ by the national certification/labelling schemes was included. The ratio of new ‘nearly zero-energy’ buildings to all new buildings was applied to the output, GVA and employment of NACE F41. In 2018-2019, a rapid increase of the construction of energy efficient buildings compared to the previous years was observed (e.g. from 246 in 2017 to 795 in 2018 and 2314 in 2019).
Construction of residential and non-residential buildings is covered.
The number of new buildings of the energy efficiency class A, A+, A++ in the number of the all new buildings was taken as ratio.
Energy efficiency related measures were compiled applying the ratio 0,2 (according Eurostat recommendations) to full value of NZEB.
18.6. Adjustment
Influence of seasons and working days on the indicator is not checked.
18.6.1. Seasonal adjustment
Not requested for this metadata collection.
The construction of Bicycle roads and lanes were added to CEPA1 NACE F for year 2020-2022 according the amended indicative compendium.
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.
20 January 2025
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.
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).
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.
Lithuania
The reference period for EGSS data is the calendar year.
The survey is based on administrative sources. The quality of administrative data is ensured by searching for out-standing, missing, duplicate values, analyzing the obtained results and, if necessary, editing the data.
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).
The variables are calculated in several stages.
Market activity variables are obtained by combining structural business statistics microdata with statistical data obtained from other divisions of Statistics Lithuania and aggregating them.
The environmental share was calculated for each enterprise in market sector using microdata from SBS, PRODCOM and energy statistics, if it was possible; for the rest enterprises the average share cross-classified by industry (NACE 4 digits level) and CEPA/CReMA classes was applied . Also all information available via internet was used additionally. The same share was used for all EGSS variables/NACE/CEPA and CReMA categories.
The share for the enterprise is fixed over time if there are no changes in enterprise activity or in products produced. The list of population is reviewed every year and the share is updated according the changes in enterprise activity or production if it is needed.
For the calculation of ancillary activity variables, environmental protection expenditure survey data are used.
To compile non-market activity variables, government finance and national accounts macro data are used.
Data was obtained from various sources: Environmental protection expenditure survey (The survey population covers enterprises of all legal forms having 5 and more employees, annual) - current expenditure on environmental protection for ancillary values; National accounts data on output and gross value added, supply–use tables; Business Register; Statistics on the production of manufactured goods (PRODCOM); Structural business statistics (SBS) - output, value added and employment in FTE for market variables; Transport statistics; Constructions statistics; Energy statistics - amount of renewable energy produced; Labour statistics -average of annual wage by NACE; Foreign Trade statistics- data on exports of goods of Lithuanian origin; Government finance statistics (ESA 2010 transmission programme Table 11), State and Municipal budget documents for non-market variables; Agriculture statistic for employment in agriculture and for share of organic farming; yellow pages via internet. The costs of state forest managers for forest restoration and development were included as CReMA11A Output to NACE A02 (as state forests cover almost 50% of the whole forest area). (Information about the costs of private owners for forest restoration seems to be not available).
Annual
Statistical information is published in 22 months after the end of the reference period.
Statistical information is comparable across the EU.
Comparability over time is fully guaranteed.
Data for CReMA classes is being collected only from 2021 year in the Environmental expenditure survey (only for CReMA 13A and CReMA 13B meanwhile).
