Environmental goods and services sector (env_egs)

Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: Statistics Estonia


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)



For any question on data and metadata, please contact: Eurostat user support

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1. Contact Top
1.1. Contact organisation

Statistics Estonia

1.2. Contact organisation unit

Economic and Environmental Staistics Department

1.5. Contact mail address


2. Metadata update Top
2.1. Metadata last certified 31/10/2023
2.2. Metadata last posted 30/10/2023
2.3. Metadata last update 30/10/2023


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

Estonia

3.8. Coverage - Time

EGSS is available for years 2014 - 2021

3.9. Base period

Not requested for this metadata collection.


4. Unit of measure Top

 

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


5. Reference Period Top

 

The reference period for EGSS data is the calendar year.


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

 

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

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

6.2. Institutional Mandate - data sharing
 
In order to receive necessary input data drom data producing agencies mainly contracts have been signed some data are received via data inquiry.


7. Confidentiality Top
7.1. Confidentiality - policy

Data is considered confidential in Estonia if there are less than three producers under any given category or if one producer accounts for more than 90% of the production

7.2. Confidentiality - data treatment

Data is considered confidential in Estonia if there are less than three producers under any given category or if one producer accounts for more than 90% of the production. This applies both for micro and macrodata.


8. Release policy Top
8.1. Release calendar

EGSS data is published in Statistics Estonia database (https://andmed.stat.ee/en/stat) once a year in October. The calendar is published in the beginning of year on Statistics Estonia website (https://www.stat.ee/en/calendar) and is publicly accessible.

8.2. Release calendar access

https://www.stat.ee/en/calendar

8.3. Release policy - user access

The date when data is published is released in the beginning of year and is publicly accessible on Statistics Estonia website. 


9. Frequency of dissemination Top

Yearly


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

Press releases linked to EGSS has not been published over the past year.

10.2. Dissemination format - Publications

EGSS data are disseminated nationally. There are no annual publications but there has been an article in the quarterly bulletin of Statistics Estonia on the methodology of EGSS (https://www.stat.ee/publication-2015_quarterly-bulletin-of-statistics-estonia-4-15). The publishing of blog articles and press releases are planned in the future.

10.3. Dissemination format - online database

EGSS data are published on Statistics Estonia website:

https://andmed.stat.ee/en/stat/keskkond__keskonna-arvepidamine__keskkonnakaupade-ja-teenuste-sektori-arvepidamine/KK38

https://andmed.stat.ee/et/stat/keskkond__keskonna-arvepidamine__keskkonnakaupade-ja-teenuste-sektori-arvepidamine/KK39

and in Eurostat database:

https://ec.europa.eu/eurostat/databrowser/view/env_ac_egss1/default/table?lang=en

https://ec.europa.eu/eurostat/databrowser/view/env_ac_egss2/default/table?lang=en

https://ec.europa.eu/eurostat/databrowser/view/env_ac_egss3/default/table?lang=en

EGSS variables and publications are also covered on Statistics Estonia website under green economy theme:

https://www.stat.ee/en/find-statistics/statistics-theme/environment/green-economy

10.3.1. Data tables - consultations

Not requested for this metadata collection.

10.4. Dissemination format - microdata access

Micro-data is accesible to researchers if used anonymization so that the data provider/enterprice is not detectable.

Legal persons and organisations can use for research confidential data held by Statistics Estonia. The data can be used on a workstation computer in the office of Statistics Estonia or remotely, depending on the nature of the data and contract conditions.

Information how to inquire data from Statistics Estonia can be seen here: https://www.stat.ee/en/find-statistics/request-statistics

10.5. Dissemination format - other

 

Prices of contract work in 2023 are published on Statistics Estonia website - https://www.stat.ee/en/find-statistics/request-statistics

10.5.1. Metadata - consultations

Not requested for this metadata collection.

10.6. Documentation on methodology

The methodology is published in Statistics Estonia database at: https://www.stat.ee/en/find-statistics/statistics-theme/environment/green-economy and https://www.stat.ee/en/find-statistics/methodology-and-quality/esms-metadata/10106

10.6.1. Metadata completeness - rate

Not requested for this metadata collection.

10.7. Quality management - documentation

The database of EGSS enterprises and products has been reviewed by field experts in Estonia which should ensure that all relevant products in Estonia have been taken into account. A high level of accuracy is ensured by using a multitude of methodologies for different EGSS products. National account are used as a data source and as a means for validation - this should ensure compliance with the rules of national accounts. Our methods have been discussed with and approved by the experts of other NSI -s (Austria, Sweden and Netherlands).


11. Quality management Top
11.1. Quality assurance

We don't have national quality documentation. There are checks in place to make sure that the EGSS output in any NACE does not exceed the total output of national accounts in that NACE categories. An analogous rule is in place for exports, GVA and employment as well.

11.2. Quality management - assessment

No


12. Relevance Top
12.1. Relevance - User Needs

The main users are environmental institutions, Ministry of Environment, Ministry of Rural Affairs. National indicator sets are being developed in collaboration with Ministry of environment. The Ministry of Rural Affairs uses the indicator: share of organic farming output in total agricultural output to assess organic farming policy targets. The same indicator is also a part of the sustainable development indicator set in Estonia.

12.2. Relevance - User Satisfaction

User satisfaction has not been measured but regular meetings are held with the main data users to consider their needs and thoughts.

12.3. Completeness

The reporting obligations have been filled, all obligatory data for EGSS are reported.

12.3.1. Data completeness - rate

Not requested for this metadata collection.


13. Accuracy Top
13.1. Accuracy - overall

The database of EGSS enterprises and products has been reviewed by field experts in Estonia which should ensure that all relevant products in Estonia have been taken into account. A high level of accuracy is ensured by using a multitude of methodologies for different EGSS products. National account are used as a data source and as a means for validation - this should ensure compliance with the rules of national accounts. Our methods have been discussed with and approved by the experts of other NSI -s (Austria, Sweden and Netherlands).

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

Data is published T+22 annually. In 2021-2023 we worked on a grant project to develop methodologies to produce EGSS earlier and we managed to calculate first estimates T+15 but it has to be updated when National Accounts updates their data.

14.1.1. Time lag - first result

It takes 22 months from reference year to publish results at the moment but we had grant project in 2021-2023 to develop methodologies to compile EGSS earlier and we saw that it was possible to publish first results 15 months from reference period but it had initial results and had to be updated later when all necessary data sources were available. 

14.1.2. Time lag - final result

Final results can be compiled when National Accounts have compiled SUT table. SUT is available T+38 months.

14.2. Punctuality

The data were delivered to Eurostat on 30 October. The reporting deadline for EGSS to Eurostat is 31 October. 

 

14.2.1. Punctuality - delivery and publication

1 day


15. Coherence and comparability Top
15.1. Comparability - geographical

The reporting obligations have been filled, all obligatory data for EGSS are reported and therefore data should be geographically comparable.

15.1.1. Asymmetry for mirror flow statistics - coefficient

Not requested for this metadata collection.

15.1.2. Comparability - geographical - excluded products
2 Supporting services to organic agriculture - According to expert it is difficult to distinguish organic supporting services from traditional agriculture in Estonia
5 Organic aquaculture products  - According to expert opinion no producers in Estonia
6 Supporting services to organic aquaculture - No relevant producers according to experts
7 Rehabilitation of mining sites services - Rehabilitation of mining sites is usually project-based and made by the government sector or is already taken into account at construction projects according to expert.
9 Drainage water capturing services to prevent groundwater contamination -    No service providers in Estonia. Only applicable in emergency situations on-site
10 Electric and more resource efficient transport equipment - According to experts not applicable.
15 Perforated buckets and similar articles used to filter water at the entrance to drains - Not relevant because there are no producers for such specific goods in Estonia according to experts
17 Vehicles for wastewater treatment, vehicles for sewer cleaning, trucks for waste collection - Not relevant because we have no producers. 
18 Activated carbon for water filtering purposes - According to expert opinion  not applicable in Estonia.
24 Lead containers for radioactive waste -   According to experts we don't have any specific producers for this category.
26 Specific equipment for the production of energy from renewable sources: storage systems for biogas made from high tech textiles -  According to expert opinion we do not have such producers
33 Goods for thermal and noise insulation mainly in buildings: cork products - Not relevant in Estonia because there is no raw material and no producers
36 Reconditioned wooden containers - wooden containers are produced but not reconditioned.
37 Specific equipment produced for environmental protection and resource management products: thermostats for heating and cooling regulation - According to expert not produced in Estonia.
38 Specific equipment produced for environmental protection and resource management products: thermostatic valves - Not relevant because there are no producers  according to expert opinion
40 Specific equipment produced for environmental protection and resource management products: condensing boilers -  According to expert not applicable
 
49 Desalinated water and collection of rainwater; maintenance of water mains for reducing water losses - Not relevant because there are no enterprises who collect rainwater or desalinate water since there is a stock of natural water available.
57 Remediation and clean-up services for air - According to experts we do not have any specific producers for this category.
15.1.3. Comparability - geographical - products not present in Indicative compendium - included
15.2. Comparability - over time

Methodology for output of energy efficient renovation for 2021 was improved in collaboration of experts from Tallinn University of Technology. Methodology developed for output of energy efficient renovation is still based on top-down approach, but the different methods were used for output estimations by the type of buildings (respectively small residential buildings, apartment buildings and non-residential buildings). For energy efficient renovation of apartment buildings, data on project’s total costs financed from European Union Structural Funds and data on state funding by KredEx were used to estimate the size of the output. Regarding small residential buildings and non-residential buildings, the approach was diferent: using renovated square meters data from building permits and multiplying this with unit cost of energy efficient renovation give an estimation for output. Revision in time series can be done after the contracts with the data holders are signed and their data of earlier years are transmitted to Statistics Estonia and calculations for output are made.

 

Other years and methodologies are comparable and does not have breaks in time series.

15.2.1. Length of comparable time series

EGSS is available and comparable for years 2014-2021.

2021  output of energy efficient renovation is calculated using different methodology than in previous years

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

So far comparisons of EGSS results with business, energy, agricultural and foreign trade statistics have not been made. Business, energy and foreign trade statistics are used as data sources for EGSS. EGSS results are compared with national accounts and SUT data.

15.3.1. Coherence - sub annual and annual statistics

So far comparisons of EGSS results with business, energy, agricultural and foreign trade statistics have not been made. Business, energy and foreign trade statistics are used as data sources for EGSS. EGSS results are compared with national accounts and SUT data.

15.3.2. Coherence - National Accounts

National accounts are one of the data sources for the compilation of EGSS. There are checks in place to make sure that the EGSS output in any NACE does not exceed the total output of national accounts in that NACE categories. An analogous rule is in place for exports, GVA and employment as well.

National accounts measurement rules are followed and adjustments are made based on these rules.

15.3.3. Coherence - EPEA

EGSS results should be coherent with EPEA data. as parts of both of these datasets are compiled using same data sources and methods.

15.3.4. Coherence - other statistics
15.4. Coherence - internal

National accounts are used as a data source in many cases and in the case of data from business register and SBS turnover is transformed to output using the same formulas as national accounts uses. Consistency with national accounts data is checked for output, GVA, exports and employment.

National accounts measurement rules are followed and adjustments are made based on these rules.


16. Cost and Burden Top

 0,6 full-time equivalents of work are required to compile the EGSS account.

16.1. Cost and Burden - other accounts

The costs and burden to compile EGSS data is comparable to those of other accounts.


17. Data revision Top
17.1. Data revision - policy

Data are revised when new national accounts data are available. Data are final when SUT data are available for a given year.

17.2. Data revision - practice

The data for 2019 has been revised according to finalised SUT tables for 2019. The data for 2020 has been revised according to updated national accounts tables. Some environmental shares of EGSS producers have been updated whch also causes some changes in the size of output etc.

Methodology for output of energy efficient renovation was improved in collaboration of experts from Tallinn University of Technology. Methodology developed for output of energy efficient renovation is still based on top-down approach, but the different methods were used for output estimations by the type of buildings (respectively small residential buildings, apartment buildings and non-residential buildings). For energy efficient renovation of apartment buildings, data on project’s total costs financed from European Union Structural Funds and data on state funding by KredEx were used to estimate the size of the output. Regarding small residential buildings and non-residential buildings, the approach was diferent: using renovated square meters data from building permits and multiplying this with unit cost of energy efficient renovation give an estimation for output. Revision in time series can be done after the contracts with the data holders are signed and their data of earlier years are transmitted to Statistics Estonia and calculations for output are made. Methodology changes are currently done for year 2021.
17.2.1. Data revision - average size

Has not been measured but changes are rather small.

17.2.2. Status of data

Year 2019 and previous years are final, 2020 and 2021 will be updated next year.

If possible then the output of energy efficient renovation will be updated for previous years also.


18. Statistical processing Top
18.1. Source data
Data from  Statistics Estonia:
data on national accounts (GDP and its components, GFCF, employment), 
financial statistics of enterprises - output of EGSS goods and services, 
production statistics - output of EGSS goods, 
energy statistics - output of renewable energy, 
foreign trade statistics - export of goods, 
employment statistics, 
EPEA - for ancillary output.
Data from other institutions:
Business Register - output of EGSS goods and services, 
Estonian Agricultural Board  and Farm Accountancy Data Network for organic farming output,
Estonian Agricultural Registers and Information Board - data on environmental subsidies, 
Estonian Road Administration - data on the construction of noise barriers and pedestrian roads,  
Environmental Investment Centre - data on environmental  investments 
Estonian Environmental Agency - data on waste and wastewater management (physical data)
Balance of Payments - data on export of EGSS services
The  list of EGSS enterprises in Estonia is used to determine the relevant enterprises. 
E-mail survey is used to specify environmental shares of secondary EGSS producers in case other information sources are not exhaustive.
18.1.1. Source data - detailed - environmental accounts
18.1.2. Source data - detailed - other statistics
18.1.3. Source data - survey
18.1.4. Source data - detailed - other macro economic data (trade, VAT etc.)
18.2. Frequency of data collection

Annual data is used as input to compile EGSS

18.3. Data collection

Dedicated survey is not used. An e-mail survey has been used in the past to specify environmental shares of secondary EGSS producers in case other information sources are not exhaustive. Administrative data are mainly used.

18.4. Data validation

Yes, there are validation rules in place. There are checks in place to make sure that the EGSS output in any NACE does not exceed the total output of national accounts in that NACE categories. An analogous rule is in place for exports, GVA and employment as well. Another check that is performed is to make sure that exports do not exceed output in any given methodology block. The usual sums checks are also made automatically.

There is no dedicated regular  survey to enterprises regarding environmental goods and services.  Administrative data or data from other statistical surveys and activities are mostly used for EGSS compilation. The quality of these already collected data are not checked separately as it is assumed that the quality of these data is assured in other statistical departments or other institutions. We do compare SBS data with business register data. If the outputs from these two sources are different, SBS data is preferred. 

18.5. Data compilation

Output: There are over 30 different methodological blocks to calculate the data for EGSS output. These methods use different basic data. Some methods are top-down, some are bottom-up. Formulas from national accounts are used for output calculations - for example turnover from SBS data is turned to output based on national accounts formulas. There are validation checks in place to make sure the output of EGSS does not exceed NA output in any economic activity. The methodologies have been developed on the basis of the nature of the environmental activity (for example construction services, organic goods, waste management service etc.).For example energy saving construction services output is calculated with a top-down method using data on the area of reconstructed buildings and the average unit cost of energy efficient renovation. Some other services (consultation services etc.) were calculated by bottom-up method: enterprise output data from SBS or business register. The same applies for products. For example the output of organic farming products is calculated using FADN data on the output of an average organic farm multiplied by the number of organic farms in Estonia. For other cleaner goods SBS or business register data of specific enterprises were used. There is no clear difference in the calculation of output of environmental specific services, cleaner and resource efficient products and other (connected) products. In the cases where detailed enterprise information is available, it is possible to assign each enterprise to market and non-market activity based on information of the institutional sector of the enterprise. Usually enterprises belonging to S.11, S.12, S.14 are market producers and S.13, S. 15 are non-market producers. For top-down methodologies it is assumed based on the kind of activity whether the activity is market or non-market.The breakdown by NACE is reported mostly based on the NACE of the enterprise that produces EGSS goods and services. For top-down methodologies NACE is reported based on product classification and on expert information. For example, construction activities are reported under NACE F41-43 and M71, the allocation to M71 is based on expert opinion that 10% of construction activities are architectural services.

The scope of EGSS products and activities is determined based on the EGSS operational list from Eurostat and also consultations with national experts. The scope is not reviewed regularly. New products are added when there is information available on these products (for example information on the Internet and other media, information from specialised associations etc.). If it is not possible to determine the environmental share on the basis of business register yearly reports or information available on internet we used a telephone/e-mail survey. At first a telephone survey is preferred but an e-mail survey turned out to be more convenient for the respondents. The survey is conducted with EGSS enterprises and they were asked the shares of their environmental output and exports by environmental products. For example, if an enterprise produced both pipes for wastewater and water management they were asked the shares of these products separately for an easier split to CEPA/CREMA categories.

The environmental share is determined separately for the CEPA and CREMA output of an enterprise. A separate share is determined for exports. The share is enterprise-based so there is no separate share for NACEs. The share is fixed only for a certain period of time and is updated every 3-5 years using data from available data sources. 

Value added: The Eurostat formula for calculating gross value added presented in the EGSS practical guide is used to calculate GVA - using calculated EGSS output data and macroeconomic variables. GVA is calculated separately for market and non-market output.

Exports: The approach is enterprise-based. Enterprises producing environmental goods are matched to foreign trade statistics. As these enterprises also may produce other kinds of goods, it is necessary to determine which exported goods are environmental. The CN product classification is used to determine which products in foreign trade statistics to take into account in EGSS calculations. In some cases the CN product may be only partly environmental. For these cases a telephone/e-mail survey was conducted  with secondary EGSS producers to determine the share of EGSS export in the total exports.

Employment: For the calculation of employment of EGSS in general the assumption is made that for each economic activity the EGSS-related employment in total employment makes up the same share as the output of a specific EGSS product in the total output in national accounts by each economic activity. Coefficients for transforming employment data from the number of employees to full time equivalents were calculated. Coefficients are calculated as a ratio between full time equivalents and number of employees (FTE/PER). In national accounts employment data are available in full time equivalents only for A*21 activities level (the number of employees is available even on A*64 activities level). For that reason coefficients are calculated on A*21 activities level.

MEMO ITEM_CReMA 13B - energy efficiency related measures for NEARLY ZERO ENERGY BUILDINGS: The memo item covers construction of new buildings, specifically new more resource-efficient buildings. The share of resource-efficient buildings is estimated using 20% and share of new A-energy level buildings from all new buildings the method was suggested by expert on the field. 

18.5.1. Imputation - rate

Not requested for this metadata collection.

18.5.2. Data compilation - by variable and type of output

Methodology for output of energy efficient renovation was improved in collaboration of experts from Tallinn University of Technology. Methodology developed for output of energy efficient renovation is still based on top-down approach, but the different methods were used for output estimations by the type of buildings (respectively small residential buildings, apartment buildings and non-residential buildings). For energy efficient renovation of apartment buildings, data on project’s total costs financed from European Union Structural Funds and data on state funding by KredEx were used to estimate the size of the output. Regarding small residential buildings and non-residential buildings, the approach was diferent: using renovated square meters data from building permits and multiplying this with unit cost of energy efficient renovation give an estimation for output. Revision in time series can be done after the contracts with the data holders are signed and their data of earlier years are transmitted to Statistics Estonia and calculations for output are made. These methodology changes were done for year 2021.

18.5.3. Data compilation - by NACE
18.5.4. Data compilation – CReMA 13B memo item

 The memo item covers construction of new buildings, specifically new more resource-efficient buildings. The share of resource-efficient buildings is estimated using 20% and share of new A-energy level buildings from all new buildings the method was suggested by expert on the field. 

18.6. Adjustment

National accounts measurement rules are followed and adjustments are made based on these rules.

18.6.1. Seasonal adjustment

Not requested for this metadata collection.


19. Comment Top


Related metadata Top


Annexes Top