The main objective of the survey is to assess the expenditure on environmental protection made by establishments in the industrial sector, both current expenses and investments, to reduce or eliminate air pollution emissions, noise pollution, to improve wastewater treatment and the treatment of solid waste generated and to use raw materials that are less contaminating or in less quantity.
The fundamental variable for the survey, investment, is broken down by environmental area, for both types of existing equipment, "end-of-pipe" equipment and integrated equipment.
National Classification of Economic Activities (CNAE-2009)
Classification of Environmental Protection Activities and expenses (CEPA 2000): classification of environmental protection activities for the different environmental scopes, compiled jointly by Eurostat and the EEC (European Economic Commission of the United Nations):
Sections B, C and D of the National Classification of Economic Activities (CNAE-2009)
The basic survey unit is that industrial establishment whose main activity is included in sections B, C and D of the National Classification of Economic Activities (CNAE-2009).
In the scheme of survey units, the company adopts the role of respondent unit, while the observation unit, that to which the data requested in the questionnaire refers, is always the industrial establishment. The objective of offering data on a regional level is thus enabled.
The target population is the group of industrial establishments, with more than 10 remunerated employed persons, whose main activity is included in sections B, C or D of the National Classification of Economic Activities (CNAE-2009).
From a geographical point of view, the survey covers the whole of the national territory.
For statistical purposes, and by means of regionalisation techniques, the survey allows for the limited presentation of results aggregated by Autonomous Community. This aspect is of particular interest for regional study and economic analysis.
This survey is continuous, and it is conducted annually.
2008: adaptation to National Classification of Economic Activities 2009 (CNAE-2009)
The data refers to the target calendar year of the statistics
Data referred to the period: Anual A: 2017
The compilation and dissemination of the data 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 2009-2012 was approved by the Royal Decree 1663/2008. 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. The National Statistics Plan 2017-2020, approved by Royal Decree 410/2016, of 31 October, is the Plan currently implemented. This statistical operation has governmental purposes, and it is included in the National Statistics Plan 2017-2020. (Statistics of the State Administration).
The Statistics on Environmental Protection Activities appear as statistical operation 7097in the 2017-2020 National Statistical Plan.
The survey allows meeting the requirements in terms of environmental expenditures in European Parliament and Council Regulation (EC) no. 295/2008, of 11 March 2008, relating to the structural statistics of companies.
The microdata from the survey is provided to the Autonomous Communities of Andalucía, Aragón and Cataluña.
The results are published, detailed, at a national level, aggregated by Autonomous Community, while those from the Autonomous Cities of Ceuta and Melilla are not published, due to the fact that the sample sizes produce estimates that are inefficient or that have an impact on confidentiality.
The data is disseminated annually
A press release is disseminated, and the results are published in INEbase.
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 . 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 results tables and series in INEbase / Physical area and the environment / Environmental statistics:
The anonymised microdata file can only be provided via specific petition, once the viability of the petition granting access to the information under strict confidentiality conditions is analysed. .
There is the option of requesting customised information from the INE Customer Service Area:
Limitations to confidentiality or precision are borne in mind at the time of processing said requests.
A detailed description may be viewed at:
Base on Commission Regulation 275/2010 and European Parliament and Council Regulation 295/2008 (https://www.ine.es/normativa/leyes/UE/minine.htm#30066), the European Commission (Eurostat) assesses the quality of the data transmitted.
Fields 10.6 to 17 of this document may be considered the quality report intended for users for this operation.
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.
The compilation process of the statistics has established controls for detecting and correcting errors, for the purpose of guaranteeing the quality thereof. The data collection in the Collection Units (URCEs) has programmed validation regulations, in order to filter the data as it is introduced by the user. During the data collection and filtering, measures are also taken for the reduction of non-response. Lastly, once the data arrives at the Central Services, the data is subjected to addition micro- and macrofiltering controls, which enable guaranteeing that the final product is of sufficiently high quality.
The estimation procedures used are internationally contrasted and accepted, and they avoid introducing errors in the final processing of the information. In the process of analysing the results, the data is subjected to some interannual adjustment and verification criteria, as well as to comparisons with data from the industrial company and product surveys.
New Commission Regulation 275/2010 sets out that it must assess the data sent by the different Member States for the statistics of annexes I to IX of SBS Regulation (EC) no. 295/2008, based on the quality criteria listed in article 12, section 1, of European Parliament and Council Regulation (EC) no. 223/2009, as follows: pertinence, precision, current nature, timeliness, accessibility, clarity, comparability and coherence.
The statistics may be considered to be of high quality, as a sufficiently representative sample of the target population is obtained, on a national level and by Autonomous Community, for each economic activity stratum and company size. Moreover, the data is subjected to some interannual adjustment and verification criteria, as well as comparisons with data from the industrial company and product surveys.
Worth noting among survey users are:
• The Ministry of Agriculture, Food and the Environment and other public bodies (observatories, etc.)
• Territorial administrations (Autonomous Communities)
• Researchers and Academic institutions
• Companies and non-profit institutions. (study services of companies, foundations, associations, etc.), trade units and employers' organisations.
•The press and specialised media
Likewise, there are foreign institutional users (Eurostat, OECD, the United Nations, etc.)
The needs of different users refer to the evolution of environmental protection expenses in industry (investments, current expenses).
The INE has carried out general user satisfaction surveys in 2007, 2010, 2013 and 2016 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.(Click next link)
Users are provided with the information they require, respecting the confidentiality of said information.
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.
The information collected permits meeting all the requirements, in terms of environmental expenses, of European Parliament and Council Regulation (EC) no. 295/2008, relating to the structural statistics on companies.
R1 (Rate of completeness of data) = 100%
The sample design tries to minimise the sampling errors, and the different survey processes are aimed at eliminating or reducing, as much as possible, the errors thereof, both in the collection phase (response rate and filtering control) and in the subsequent editing and imputation phases.
The procedure for collection, coverage control, error filtering and imputation of non-response enables obtaining a high degree of reliability in the statistics.
The reference framework used is the Central Business Register (CBR) for the economic activities from 05 to 09, and the Annual Industrial Products Survey (AIPS) for the economic activities from 10 to 35. The population of establishments is stratified, according to their main economic activity (CNAE-2009 divisions), their size, based on the number of wage earners,
Size: wage earners
200 and over
and the groups of Autonomous Communities (Autonomous Communities),
Region 1: Andalucia, Castilla y Leon, Cataluña, Comunitat Valenciana, Galicia, Comunidad de Madrid and Pais Vasco.
Region 2: the remaining Autonomous Communities.
In those strata in which the study is not comprehensive, we proceed to a systematic random-start selection.
Sampling errors are calculated of the main variables, at different breakdown levels, using the Direct Method (E. Raulin Formula) and the Indirect method (Jackknife).
A1 (sampling errors) = 1,10 %
Sampling errors at national level by type of expense for the total industry are available at the following link:
Information is available on the sampling errors by Autonomous Communities.
Non-sampling errors are controlled throughout the entire statistical process.
In this sense, and for the purpose of limiting those errors arising in the information collection phase, which might affect the information obtained from the respondent units, after performing the recording of the questionnaires, and with the information available in electronic format, a coverage control of the information is carried out, so as to detect duplicates and coverage errors, and at the same time, be able to perform a first assessment of the quality of the variables collected in the questionnaires.
Specific information is also available regarding the non-response rate.
A4 (Unit non-response rate ) = 14,1 %
The data from the statistics is submitted to Eurostat, within the 18 months following the reference year of the information, and it is disseminated in INEbase within 18 months.
Opportunity of final results . TP2= 18.
The dissemination of the data is carried out in accordance with the structural statistics availability calendar that the INE compiles and publishes for each year.
The strict application of the definitions and concepts from the European Regulation allows for comparing the survey results with results from other countries.
The availability of a methodology, a sample design with representative units on a national level, by economic activity and size, and with a proportional approximate allocation, by Autonomous Community, for the purpose of enabling, as much as possible, the model-assisted estimation application for regionalising a limited number of aggregates, given the scarce sample size at this geographical level, and a common process for the collection, filtering, editing and elevation, throughout its geographical scope, guarantees the comparability of the results among the different Autonomous Communities.
The results are comparable over time, given the continuity in the methodology applied since the implementation of the survey. However, it should be borne in mind that, in 2008, a logical break in the series occurred, as a result of the entry into force of the new national classification of economic activities (CNAE-2009).
CC2 (Number of comparable elements from the time series as of the last break) = 10
The results of the Survey on protection expenditure are coherent with the Industrial Company and Product Surveys conducted by the INE.
The coherence is the result of a fundamental matter, both in the planning of the survey methodology, and in all of its preparation process. The coherence between the variables is contrasted in all phases of the statistical process.
The statistics are coherent on an internal level, the annual results of all the variables are consistent amongst themselves, and with regard to the available annual series
For the purpose of reducing the response burden of respondent units, the completion of the questionnaires is facilitated for some large business groups, making the contacts directly from the department in charge of the survey, rather than doing so from the Subdirectorate General for Data Collection.
Moreover, the design and selection of the sample are coordinated with other surveys, for the purpose of reducing, as much as possible, the overburden of certain respondent units that would be derived from the completion of several surveys in the same year. Cooperation formulae are established, so as to take the most advantage of the available information, and to avoid the unnecessary duplication of statistical operations. The sample size and the extension of the questionnaires are reduced to the essential minimum.
In terms of the data collection, online completion is encouraged as a method that is easy and secure for respondents, and which enables achieving better information quality levels. In any case, respondents have other possible response channels available (print questionnaire by post, fax, electronic questionnaire.
The estimation of the budgetary credit necessary to finance these statistics, as set out in the 2019 Annual Programme, comes to a total of 120,66 thousand euro.
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" (link).
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-.
Preview results are not disseminated. The data is published when it is final, and is not subject to revision.
The data obtained is based on a direct, sampling survey,
The information regarding the main characteristics of the sample, and the directory used as the survey framework, may be viewed at the methodology link
The following is used as the reference framework:
- For divisions 05 to 09 of the National Classification of Economic Activities (CNAE-2009), the Central Business Register (CBR)
- For divisions 10 to 35 of CNAE-2009, the Annual Industrial Products Survey (AIPS).
The CBR is a register that assigns and classifies statistical units by main economic activity, according to the National Classification of Economic Activities (CNAE-2009) and by size as defined by the number of wage earners.
It has been necessary to design independent samples for the different divisions and groupings of Autonomous Communities (Autonomous Communities); a stratified sampling has been used, compiling the strata based on the number of wage-earning persons.
The data collection is annual. For reference year t, the collection is carried out from September to December of year t+1.
There is a single questionnaire, and the respondent unit must fill in each section with the current and investment expenditure, intended solely to performing environmental protection activities.
The different values must may be entered into each of the environmental areas considered in the questionnaire.
The information collection is performed through the process of mailing the questionnaire by post and telephone support. Respondents are also offered the possibility of completing the questionnaire online and by fax. The questionnaire is sent to all companies in the sample. Together with the questionnaire, in each mailing, the respondent units receive the norms for completing the questionnaire, this document including a listing of possible independent and integrated equipment and installations for each environmental area.
The collection tasks are supplemented by telephoning those companies that have not responding to the postal questionnaire by the deadline, for the purpose of requesting the information of them, advising them as necessary and obtaining the completed questionnaire. Support tasks for the collection are also carried out, such as updates to the directory, and the control and revision of the questionnaires.
The management of the sample data file, both for controlling the collection and for updating the data from the respondent companies, is carried out through a computer application established for this purpose, which allows for guaranteeing
the control and organisation of the entire process. This system permits the data from there respondent units to be supervised and updated. The information is collected and filtered at the same time. This guarantees an efficient control over the process from the beginning of the survey onward, since systematic errors when completing the questionnaires can be detected rapidly in the initial stages, which facilitates their correction.
The initial stage for processing the survey information coincides in time with the actual fieldwork, and is carried out in parallel with the collection, during the entire duration thereof. The main purpose is to establish quality levels that are high enough to enable a correct and adequate recording of the questionnaires, and that significantly simplify the subsequent information processing. The recording of questionnaires is carried out, establishing the control measures required to guarantee an adequate quality level throughout the whole process.
The goal is to limit errors that appear in this stage that might affect the quality of the information given by the respondent units. Once the questionnaires have been recorded and the information is available on a magnetic medium, an information coverage control is performed, so as to detect duplicates and coverage errors, and at the same time,
to carry out a first assessment of the quality of the variables included in the questionnaires. This stage is performed for each economic sector, and its implementation is prior to the creation of the survey file, and thus, to the joint processing of the information.
Once the survey file is created, tasks are carried out for the errors and inconsistencies in the identification variables of each record to be detected and filtered; subsequently, different phases of content error filtering and imputation are carried out. Once the filtering phases are finished, analysis tables are obtained in order to eliminate errors or inconsistencies detected, and to compare the results obtained with other sources of information.
No seasonal adjustments are carried out.