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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | National Statistics Institute of Spain |
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1.2. Contact organisation unit | Directorate of Economic Sectors Statistics |
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1.5. Contact mail address | Avda. Manoteras, 50-52 28050 Madrid - España |
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2.1. Metadata last certified | 29/02/2024 | ||
2.2. Metadata last posted | 29/02/2024 | ||
2.3. Metadata last update | 16/04/2024 |
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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. |
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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). |
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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'). |
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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.
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. |
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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). |
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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. |
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3.7. Reference area | |||
Environmental Accounts cover the entire national territory. |
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3.8. Coverage - Time | |||
Environmental Goods and Services Accounts present data from 2014 to 2021 + 2022 early estimate. |
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3.9. Base period | |||
Not requested for this metadata collection. |
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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). |
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The reference period for EGSS data is the calendar year. |
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6.1. Institutional Mandate - legal acts and other agreements | |||
The compilation and dissemination of the data in Spain are governed by the Statistical Law No. 12/1989 "Public Statistical Function" of May 9, 1989, and Law No. 4/1990 of June 29 on “National Budget of State for the year 1990" amended by Law No. 13/1996 "Fiscal, administrative and social measures" of December 30, 1996, makes compulsory all statistics included in the National Statistics Plan. The National Statistical Plan 2021-2024 was approved by the Royal Decree 1110/2020. It contains the statistics that must be developed in the four year period by the State General Administration's services or any other entity dependent on it. All statistics included in the National Statistics Plan are statistics for state purposes and are obligatory. It is the Plan currently implemented. The EGSS accounts have governmental purposes, and they are included in the National Statistics Plan 2021-2024. (Statistics of the State Administration). 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). |
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6.2. Institutional Mandate - data sharing | |||
The exchanges of information needed to elaborate statistics between the INE and the rest of the State statistical offices (Ministerial Departments, independent bodies and administrative bodies depending on the State General Administration), or between these offices and the Autonomic statistical offices, are regulated by the Statistical Law No. 12/1989 "Public Statistical Function" of May 9, 1989. This law also regulates the mechanisms of statistical coordination, and concludes cooperation agreements between the different offices when necessary. |
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7.1. Confidentiality - policy | |||
The Statistical Law No. 12/1989 specifies that the INE cannot publish, or make otherwise available, individual data or statistics that would enable the identification of data for any individual person or entity. Regulation (EC) No 223/2009 on European statistics stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society. |
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7.2. Confidentiality - data treatment | |||
INE provides information on the protection of confidentiality at all stages of the statistical process: INE questionnaires for the operations in the national statistical plan include a legal clause protecting data under statistical confidentiality. Notices prior to data collection announcing a statistical operation notify respondents that data are subject to statistical confidentiality at all stages. For data processing, INE employees have available the INE data protection handbook, which specifies the steps that should be taken at each stage of processing to ensure reporting units' individual data are protected. The microdata files provided to users are anonymised. Environmental Accounts are a statistical operation included in the National Statistical Plan, therefore subject to the Law on Public Statistical Services of May 9 1989, and consequently, their data is protected by Statistical Secrecy, at all stages of compilation. In the following link https://www.ine.es/dyngs/IOE/en/operacion.htm?id=1259945998307 description and characteristics of this operation may be consulted. |
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8.1. Release calendar | |||
The advance release calendar that shows the precise release dates for the coming year is disseminated in the last quarter of each year. |
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8.2. Release calendar access | |||
The calendar is disseminated on the INEs Internet website (Publications Calendar: https://www.ine.es/en/daco/daco41/calen_en.htm) |
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8.3. Release policy - user access | |||
The data are released simultaneously according to the advance release calendar to all interested parties by issuing the press release. At the same time, the data are posted on the INE's Internet website (Spanish Statistical Office (ine.es)) almost immediately after the press release is issued. Also some predefined tailor-made requests are sent to registered users. Some users could receive partial information under embargo as it is publicly described in the European Statistics Code of Practice. Regarding the INE website, EGSS data is to be published in December 21st.
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The data is disseminated annually. |
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10.1. Dissemination format - News release | |||
The results of the statistical operations are normally disseminated by using press releases that can be accessed via both the corresponding menu and the Press Releases Section in the web: https://ine.es/en/prensa/seccion_prensa_en.htm |
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10.2. Dissemination format - Publications | |||
Users of the Environmental Accounts may access the data regarding Environmental Goods and Services Accounts through the INE website Specifically, the following sections appear in the Environmental Goods and Services Accounts:
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10.3. Dissemination format - online database | |||
INEbase is the system the INE uses to store statistical information on the Internet. It contains all the information the INE produces in electronic formats. The primary organisation of the information follows the theme-based classification of the Inventory of Statistical Operations of the State General Administration (https://www.ine.es/dyngs/IOE/en/index.htm). The basic unit of INEbase is the statistical operation, defined as the set of activities that lead to obtaining statistical results on a determined sector or subject based on the individually collected data. Also included in the scope of this definition are synthesis preparation. Access to tables and results in INEBASE (www.ine.es) / Agriculture and environment/Environmental accounts |
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10.3.1. Data tables - consultations | |||
Not requested for this metadata collection. |
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10.4. Dissemination format - microdata access | |||
A lot of statistical operations disseminate public domain anonymized files, available free of charge for downloading in the INE website Microdata Section https://www.ine.es/en/prodyser/microdatos_en.htm Due to the nature of the Environmental Accounts, microdata is not available. |
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10.5. Dissemination format - other | |||
The policy regarding custom requests is to analyse whether they comply with the statistical secrecy and significance conditions. Following this analysis, a viability report is prepared and sent to the person who has made the request. Requests are made through the User Care Area: |
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10.5.1. Metadata - consultations | |||
Not requested for this metadata collection. |
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10.6. Documentation on methodology | |||
The handbook of Environmental Goods and Service Accounts developed by Eurostat (“The Environmental Goods and Services Sector"), may be consulted in their website through the following link: |
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10.6.1. Metadata completeness - rate | |||
Not requested for this metadata collection. |
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10.7. Quality management - documentation | |||
Fields 10.7 to 17 of this document are the quality report intended for the user of this operation. |
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11.1. Quality assurance | |||
Quality assurance framework for the INE statistics is based on the ESSCoP, the European Statistics Code of Practice made by Eurostat. The ESSCoP is made up of 16 principles, gathered in three areas: Institutional Environment, Processes and Products. Each principle is associated with some indicators which make possible to measure it. In order to evaluate quality, Eurostat provides different tools: the indicators mentioned above, Self-assessment based on the DESAP model, peer review, user satisfaction surveys and other proceedings for evaluation. https://ine.es/en/ine/codigobp/codigobupr_en.pdf The quality of synthesis statistics, such as environmental accounts, is derived from the multiple sources they use. In all of them, we have tried to obtain as accurate information as possible, minimizing the various types of errors that may affect them. On the other hand, the compilation follows the annex V relative to the EGSS of Regulation 538/2014, as well as the recomendations of the Eurostat manual. The estimates of the EGSS are made based on the methodology designed by Eurostat, using the principles, rules and classifications of the National Accounts, which ensures the internal consistency of the EGSS and other economic modules, as well as comparability with the aggregates of National Accounts. In addition, given that the EGSS shares many characteristics with the Expenditure Account in Environmental Protection (EPEA), common standards have been used to estimate the elements shared by both, thus ensuring coherence between environmental accounts. |
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11.2. Quality management - assessment | |||
The Commission (Eurostat) evaluates the quality of the data transmitted, and during the period of one month following the receipt thereof, it may ask the Member State for additional information regarding the data or a set of revised data, as pertinent (Article 7.4 of European Regulation no. 691/2011).
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12.1. Relevance - User Needs | |||
The environmental accounts enable observing the pressure that the economy exerts on the environment, and studying the means to reduce it. They show the interactions between the economy, households and environmental factors, and therefore offer a greater degree of information than the national accounts in this field. As an essential data source regarding the environment, these are basic for decision-making in environmental policy and in the development of impact assessments, on both national and international levels. According to the principles of sustainable development included in the Europe 2020 Strategy, and in other initiatives, as well as the advance toward an economy that is efficient in the use of resources and low in emissions, it is increasingly necessary to develop and implement a data framework structure that systematically includes environmental issues as well as economics issues. Moreover, as they constitute a synthesis statistical operation in the environmental field, they enable identifying gaps and improvements in the Spanish statistical system. Worth noting among environmental account users are the following:
Likewise, there are foreign institutional users (Eurostat, OECD, United Nations, etc.) |
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12.2. Relevance - User Satisfaction | |||
The INE has carried out general user satisfaction surveys in 2007, 2010, 2013, 2016 and 2019 and it plans to continue doing so every three years. The purpose of these surveys is to find out what users think about the quality of the information of the INE statistics and the extent to which their needs of information are covered. In addition, additional surveys are carried out in order to acknowledge better other fields such as dissemination of the information, quality of some publications. On the INE website, in its section Methods and Projects / Quality and Code of Practice / INE quality management / User surveys are available surveys conducted to date. (https://www.ine.es/ss/Satellite?c=Page&pagename=MetodologiaYEstandares%2FINELayout&cid=1259944133654&L=1) The user satisfaction surveys conducted to date assess the Environmental sector in which the statistical operation is set in, which may provide direction with regard to the opinion users have of it. |
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12.3. Completeness | |||
The Environmental Goods and Services Accounts meet the information requirements demanded by European Parliament and Council Regulation (EU) Nº 538/2014, of 16 April 2014, amending Regulation (EU) Nº 691/2011, regarding the European economic environmental accounts, and therefore, it may be stated that they are comprehensive. |
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12.3.1. Data completeness - rate | |||
Not requested for this metadata collection. |
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13.1. Accuracy - overall | |||
Environmental accounts are synthesis statistics, therefore they are affected by sampling errors coming from sources from which information is collected, which are analysed in order to see if they remain within reasonable limits. Non-sampling errors may come from both the sources and the information treatment in this operation (lack of coverage, measurement errors). In summary, the direct measurement of accuracy in this case is not considered possible. The main instrument for analysing the accuracy is the analysis of the revisions. The revisions show the degree of proximity between subsequent estimators of the same value, and it is reasonable to assume that the estimators converge on the true value when they are based on better and more reliable data. |
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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. |
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13.2.1. Sampling error - indicators | |||
Not requested for this metadata collection. |
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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. |
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13.3.1. Coverage error | |||
Not requested for this metadata collection. |
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13.3.1.1. Over-coverage - rate | |||
Not requested for this metadata collection. |
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13.3.1.2. Common units - proportion | |||
Not requested for this metadata collection. |
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13.3.2. Measurement error | |||
Not requested for this metadata collection. |
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13.3.3. Non response error | |||
Not requested for this metadata collection. |
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13.3.3.1. Unit non-response - rate | |||
Not requested for this metadata collection. |
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13.3.3.2. Item non-response - rate | |||
Not requested for this metadata collection. |
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13.3.4. Processing error | |||
Not requested for this metadata collection. |
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13.3.5. Model assumption error | |||
Not requested for this metadata collection. |
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14.1. Timeliness | |||
The estimates of the Environmental Goods and Services Accounts are sent to Eurostat, at most 22 months following the end of the reference year, in compliance with EU Regulation Nº 125/2022 of 19 November 2021, amending EU Regulation Nº 691/2011, regarding European economic environmental accounts, regulating the periods for transmitting data. The indicator of the time elapsed between the end of the reference period and the dissemination in INEbase is TP1=12 months for early estimates. TP2= 48 months. |
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14.1.1. Time lag - first result | |||
Not applicable. |
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14.1.2. Time lag - final result | |||
Not applicable. |
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14.2. Punctuality | |||
The date of the actual delivery of the data and the target date when it should have been delivered. The data were delivered to Eurostat the 31st of October, 2023. The reporting deadline for EGSS to Eurostat is the 31st of October, 2023. |
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14.2.1. Punctuality - delivery and publication | |||
The data were delivered to Eurostat the 31st of October, 2023. The reporting deadline for EGSS to Eurostat is the 31st of October, 2023. |
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15.1. Comparability - geographical | |||
The EU Member States use the same methodology for the compilation of estimates, which allows comparability among Environmental Goods and Services Accounts estimates. EUROSTAT, through the indicative list of environmental products and activities, defines the minimum scope of the concepts collected. |
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15.1.1. Asymmetry for mirror flow statistics - coefficient | |||
Not requested for this metadata collection. |
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15.1.2. Comparability - geographical - excluded products | |||
The EGSS account includes the products and activities listed in Regulation (EU) 2015/2174. However, some products included in the list are not estimated because they are not relevant to Spain or due to the non-availability of information sources. These are: prefabricated wooden buildings, reconditioned wooden containers, incinerators for waste management, cellular concrete, wood boilers, instruments and devices for the detection of ionising radiation and solar water heaters. |
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15.1.3. Comparability - geographical - products not present in Indicative compendium - included | |||
In order to be aligned with the Environmental Protection Expenditure Account, the ancillary production of manufacture of coke and refined pretoleum products and manufacture of basic pharmaceutical products and pharmaceutical preparations is estimated. |
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15.2. Comparability - over time | |||
The temporary comparability of the EGSS, corresponding to the periods 2014-2021, plus the advance of 2022 can be guaranteed. |
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15.2.1. Length of comparable time series | |||
The number of comparable elements of the time series is 9 (CC2 = 9). |
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15.2.2. Comparability - over time detailed | |||
15.3. Coherence - cross domain | |||
Environmental Accounts are coherent with National Accounts. |
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15.3.1. Coherence - sub annual and annual statistics | |||
Not applicable; reported EGSS accounts are only annual. |
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15.3.2. Coherence - National Accounts | |||
The estimates of EGSS accounts are based on the methodology designed by Eurostat, using the principles, valuations, rules and classifications of national accounts, which ensures their internal consistency and with other modules of the environmental accounts, as well as comparability with aggregates of national accounts.
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15.3.3. Coherence - EPEA | |||
EPEA data are taken as a reference regarding characteristic output, i.e., wastewater management and waste management. Since EPEA provides data on production we ensure that production in EGSS keeps coherence with EPEA. |
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15.3.4. Coherence - other statistics | |||
Since some data on output and exports is provided by SBS and other satellite accounts such as EW-MFA and EEA, we ensure that output in EGSS keeps coherence with the rest of the Environmental Accounts. |
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15.4. Coherence - internal | |||
The annual results of Environmental Goods and Services Accounts are coherent with each other and with the available annual series. For each estimation, the most updated data are applied. Coherence is kept, in general, because data sources follow the same valuation principles. If some methodological change appears the corresponding adjustment is carried out to reflect only the real variation and not the part caused by the methodology. |
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In the 2023 annual Program, the estimate of the necessary budget appropriation to finance this Environmental Accounts operation is 31,88 thousand euros. There is no response burden for informants, since the information provided by other statistics is used. |
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16.1. Cost and Burden - other accounts | |||
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17.1. Data revision - policy | |||
The INE of Spain has a policy which regulates the basic aspects of statistical data revision, seeking to ensure process transparency and product quality. This policy is laid out in the document approved by the INE board of directors on 13 March of 2015, which is available on the INE website, in the section "Methods and projects/Quality and Code of Practice/INE’s Quality management/INE’s Revision policy": https://www.ine.es/en/ine/codigobp/politica_revision_en.pdf. This general policy sets the criteria that the different type of revisions should follow: routine revision- it is the case of statistics whose production process includes regular revisions-; more extensive revision- when methodological or basic reference source changes take place-; and exceptional revision- for instance, when an error appears in a published statistic-. Environmental Accounts data is revised coherently with the data revision scheme of the Annual Spanish National Accounts. Regulation (EU) Nº 538/2014 establishes that in each annual data transmission, data be provided for years n-2, n-1 and n, with n being the reference year. |
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17.2. Data revision - practice | |||
The factors that determine the revisions of Environmental Accounts estimates are basically the changes in Annual Spanish National Accounts as well as the changes carried out so as to improve estimation procedures.
The practical way to proceed consists of publishing the data, indicating their final, provisional or early nature. Each annual estimate is revised for three consecutive years, from early estimates until it ceases to be considered provisional and acquires the final nature. The A6-RMAR indicator is not applicable to the Environmental Goods and Services Account. |
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17.2.1. Data revision - average size | |||
Not estimated |
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17.2.2. Status of data | |||
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18.1. Source data | |||
As this is a synthesis statistical operation, the Environmental Accounts integrate and manage a large number of economics and environmental information sources. In the case of the Environmental Goods and Services Account, the following statistical information is used: Elaborated by the INE:
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18.1.1. Source data - detailed - environmental accounts | |||
EPEA is closely related to EGSS, it is used in the estimation. EPEA data are taken as a source for EGSS estimates. NACE E, O and R market and non-market output, as well as NACE C and D ancillary output are estimated based on EPEA tables. |
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18.1.2. Source data - detailed - other statistics | |||
SBS is the main data source for GVA, Employment and Exports estimates. Since, SBS is typically at more disaggregated level we take advantage of it to calculate ratios for the variables mentioned above. These ratios are not always applied since some concepts are too important or too specific to do so. |
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18.1.3. Source data - survey | |||
The main data source for EGSS estimation are surveys, which are conducted by the INE (National Statiscal Institute of Spain) but are not specifically designed for environmental purposes. These surveys are: Industrial Products Survey; Structural Business Statistics: industrial and services sectors; Statistics on Products in the Services Sector. In addition, two surveys which are led by the environmental unit, include a module for EGSS (Statistics on Environmental Protection Activities and Surveys on waste generation) but we are facing limitations related to sample size, subsequently they are not the main data source. |
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18.1.4. Source data - detailed - other macro economic data (trade, VAT etc.) | |||
Other data sources are:
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18.2. Frequency of data collection | |||
The data is compiled annually. |
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18.3. Data collection | |||
The data collection techniques may vary, depending on the type of source, the date that the data is available, etc. In general, the data is sent to the Environmental Accounts unit by the different units compiling it, though on occasion, the information may be obtained directly from the corresponding database. |
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18.4. Data validation | |||
The base information, from the different statistics, is subjected to a series of processes: identification of outliers, error filtering, adaptation to the terms of the Environmental Accounts. Quality of the data sources is checked, specially regarding the activity or product description, i.e., it is checked that the data source of an environmental product is truly recording this kind of product. When two or more data sources are available, it is analysed what measures each one and the differences between them, if any. For example, renewable energy generation, biofuels, engineering services for environmental protection, etc. National accounts aggregates are the main reference as well as EPEA. The following checks are carried out at the disaggregation level in national dissemination (similar to A*38):
Validation checks are carried out (at the level of every single cell in the questionnaires):
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18.5. Data compilation | |||
The compilation process may be structured in several stages: 1. Updating of base information: collection of available data.
We determine the scope of EGSS products and activities based on the indicative compendium and the development made through the operational list. In addition, Spain is a member of the Task Force on environmental classifications. Since solving borderline cases is a short term objective of this TF, Spain also takes into account conventions agreed by the group. Nevertheless, the majority of the conclussions agreed by the TF that have involved a break in series. The change concerning the new guidance notes as well as new explanatory notes was applied in 2021 (reference 2020) submission period and for the whole series. Investigation about environmental products is carried out on a regular basis.
Environmental shares are implicitly, but not explicitly calculated. The objective has not been to estimate an environmental share, but to look for the specific environmental concept. In other words, characteristics of the more aggregated group of products are analysed and then external variables are used to determine which one is environmental. We do not use the same share for all EGSS variables/NACE/CEPA and CReMA categories. A top down approach is certainly used but not in this way. As mentioned previously, the objetive is not to obtain a share. Each case is analysed case by case to determine what are the environmental products. |
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18.5.1. Imputation - rate | |||
Not requested for this metadata collection. |
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18.5.2. Data compilation - by variable and type of output | |||
OUTPUT Output is estimated case by case because it is the basis for other variables. There are different data sources for each product and the procedure varies. The best case is when a product is directly found in some existing statistic. When this is not possible we use some ancillary variable to delimitate the environmental product. Finally, some products are not estimated through suppliers, but users. This is the case for investment related to characteristic producers. Ancillary output in NACE B, C, D and E36 is recorded based on EPEA table 3. The most significant Output for own-final use is related to R&D activities which are mainly carried out by NACE 72, 84 and 85. The reason is that R&D is recognised as Gross capital formation in ESA 2010 and at the same time own-final use output made by companies has to be for capital formation. So, this is a case where there exists an environmental output suitable to be classified as own-final use output. Additionally, output for final use appears in NACE 91 because of new information related to biodiversity expenditure carried out by the public sector. Since NACE 91 is the most suitable NACE division for these activities it is allocated there. In order to break down the output into market and non-market output, we have used the following approach: Supply tables indicate which economic activities are more likely to have production different from market output. Based on that, it is further investigated what environmental products are typically produced by these NACE activities. If characteristics of the product seem to be suitable for non-market output, then it is estimated. For example, in NACE E through data from EPEA. When no other information is available, National Accounts ratios are used to split production into market and non-market. The breakdown in environmental specific services, cleaner and more resource efficient products and other (connected) products, has not been applied. Regardless the data source used, all estimates have been analysed in order to clarify their valuation principles. If it is necessary, adjustments to basic prices are made. EGSS GROSS VALUE ADDED (GVA) To compile the data on GVA, we mainly apply the method proposed by Eurostat in the Practical Guide. This method is sometimes complemented with data from Structural Business Statistics or other external sources. EGSS EXPORTS Three main approaches are applied depending on the breakdown level. Data on exports of Tax Agency (with Taric codes) are used for some industrial products. When this is not applicable SBS data are used. When this is not possible, SUT tables are applied. Alternatively, some products for which specific information is available are estimated based on that information. EGSS EMPLOYMENT SBS and national accounts data are the most common data source for estimates. SBS allows to apply ratios at 4-digit-level breakdown. When this is not possible, ratios at 2-digit-level breakdown from national accounts are applied. As well as it was done for the other variables, some concepts are estimated apart from these ratios. Data is quantified in full-time equivalents and when it is not possible to do so, national accounts aggregates are applied to transform the corresponding variable to FTE. Employment relating to EGSS ancillary and own-account output is estimated following the same approach mentioned above. |
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18.5.3. Data compilation - by NACE | |||
The breakdown by NACE can be based on the classification of the producer of EGSS goods and activities or based on the product classification (CPA). These approaches are used depending on each activity. For example, the first one is often followed to compile service sector, while the second one is commonly used for industry. |
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18.5.4. Data compilation – CReMA 13B memo item | |||
According to the Guidance note – Reporting of energetic refurbishment and construction of new energy-efficient buildings in EGSS accounts, energy-efficient buildings are those classified as ‘nearly zero-energy buildings’ (NZEB) in the national schemes following Directive 2010/31/EU. For the purposes of EGSS compilation, NZEB is the synonym of the term ‘low energy consumption and passive buildings’ (used in the indicative compendium of environmental goods and services – Commission Implementing Regulation (EU) 2015/2174). Countries should use the term NZEB to identify these buildings in practice.
The full value of the construction of NZEB is reported under CReMA 13B. Under CReMA 13B memo item we report the values of energy efficiency related measures, which is a partial cost view of the construction activities.
We calculate the data related to NZEBs with information published by the Ministriy of Transport, Mobility and Urban Agenda and the Ministry for the Ecological Transition and the Demographic Challenge. Once we have estimated the output of construction of new low-energy consumption and passive buildings (which is part of the NZEB output reported under CReMA 13B), we applied a default conversion factor of 0.2, assuming, as indicated by Eurostat, a first preliminary and generic estimate that 20% of the construction costs in new energy-efficient buildings are related to energy efficiency. |
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18.6. Adjustment | |||
No seasonal adjustments are carried out. |
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18.6.1. Seasonal adjustment | |||
Not requested for this metadata collection. |
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