Structural business statistics (sbs)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: National Institute of Statistics Romania


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)



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1. Contact Top
1.1. Contact organisation

National Institute of Statistics Romania

1.2. Contact organisation unit

Structural Business Statistics Directorate

1.5. Contact mail address

Bdul Libertatii nr.16 Bucuresti


2. Metadata update Top
2.1. Metadata last certified 10/08/2023
2.2. Metadata last posted 10/08/2023
2.3. Metadata last update 10/08/2023


3. Statistical presentation Top
3.1. Data description

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS covers all activities of the business economy with the exception of agricultural activities, public administration and (largely) non-market services such as education and health. Main characteristics (variables) of the SBS data category:

• Business demographic variables (e.g. Number of active enterprises)

• "Output related" variables (e.g. Net turnover, Value added)

• "Input related" variables: labour input (e.g. Number of employees and self-employed persons, Hours worked by employees); goods and services input (e.g. Purchases of goods and services); capital input (e.g. Gross investments)

Business services statistics (BS) collection contains harmonised statistics on business services. From 2008 onwards BS become part of the regular mandatory annual data collection of SBS. The BS’s data requirement includes variable “Turnover” broken down by products and by type of residence of client.

The annual regional statistics collection includes three characteristics due by NUTS-2 country region and detailed on NACE Rev 2division level (2-digits).

3.2. Classification system

Statistical Classification of Economic Activities in the European Community (NACE):  NACE Rev.2 is used from 2008 onwards. Key data were double reported in NACE Rev.1.1 and NACE Rev.2 only for 2008. From 2002 to 2007 NACE Rev. 1.1 was used and until 2001 NACE Rev.1

The regional breakdown of the EU Member States is based on the Nomenclature of Territorial Units for Statistics (NUTS)

The product breakdown is based on the Classification of Products by Activity (CPA) as stated in the Regulation establishing CPA 2008 and its amending  Commission Regulation (EU) No 1209/2014  (from reference year 2015 onwards).

3.3. Coverage - sector

Starting reference year 2021 onwards SBS cover the economic activities of market producers within the NACE Rev. 2 Sections B to N, P to R and Divisions S95 and S96.
Until 2007 the SBS coverage was limited to Sections C to K of NACE Rev.1.1 and from the reference year 2008 to 2020 data was available for Sections B to N and Division S95 of NACE Rev.2.
From 2013, as the first reference year, to 2020 information is published on NACE codes K6411, K6419 and K65 and its breakdown.

From 2008 reference year data collection BS covers NACE Rev 2 codes: J62, N78, J582, J631, M731, M691, M692, M702, M712, M732, M7111, and M7112.

3.4. Statistical concepts and definitions

SBS constitutes an important and integrated part of the new European Business Statistics Regulation N° 2152/2019

Data requirements, simplifications and technical definitions are definied in Commission Implementing Regulation (EU) 2020/1197

3.5. Statistical unit

3.5.1. Treatment of complex enterprise
  Data treatment 
Sample frame based on enterprises no
Surveying all legal units belonging to a complex enterprise yes
Surveying all legal units within the scope of SBS belonging to a complex enterprise yes
Surveying only representative units belonging to the complex enterprise no
Other criteria used, please specify  
Comment  
3.5.2. Consolidation
  Consolidation method
Consolidation carried out by the NSI yes
Consolidation carried out by responding enterprise/legal unit(s) no
Other methods, please specify  
Comment  
3.6. Statistical population

The target population in terms of NACE is in line with ESB and GIA Regulations. All size classes are covered.

The statistical unit for reporting data is the enterprise. Since 2021 reference year the sole proprietors are included in the total values for the variables number of enterprises and number of employees and self employed persons but it not cover the other economic variables. Also data are not available by size class of enterprise due to lack of reliable information in the SBR.

The frame for identifying units for the population is the Statistical Business Register.

3.7. Reference area

The whole country

3.8. Coverage - Time

3.9. Base period

Not applicable.


4. Unit of measure Top

• Number of enterprises and number of local units are expressed in units.

• Monetary data are expressed in millions of €.

• Employment variables are expressed in units.

• Per head values are expressed in thousands of € per head. 

Ratios are expressed in percentages.


5. Reference Period Top

Data refers to calendar year. 


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

Starting with reference year 2021 two new regulations currently form the legal basis of SBS:

Year 1995 was the first year for the implementation of the Council Regulation No 58/97 (SBS Regulation).

The Council Regulation No 58/97 has been amended three times: by Council Regulation No 410/98, Commission Regulation No 1614/2002 and European Parliament and Council Regulation No 2056/2002. As a new amendment of the basic Regulation it was decided to recast the Regulation No 58/97 in order to obtain a new "clean" legal text. In 2008 the European Parliament and Council adopted Regulation No 295/2008 and the provisions of this Regulation were applicable from the reference year 2008 to reference year 2020. Regulation No 295/2008 was amended by Commission Regulation (EU) No 446/2014.

6.2. Institutional Mandate - data sharing

Not applicable.


7. Confidentiality Top
7.1. Confidentiality - policy

Confidentiality rules are stated in the Norms of confidentiality.

https://insse.ro/cms/files/legislatie/norme%20de%20confidentialitate/Ordin_INS_722_2020_Norme_de_confidentialitate_a_datelor_statistice.pdf

7.2. Confidentiality - data treatment

The rules applied to treat confidential data are the following: when there are less than four units or one or two units are dominating the aggregates (more than 70% or 80% of the turnover). The value of turnover, employment and main activity at unit level are not consider as confidential data.

7.2.1. Confidentiality processing
  Data treatment 
Confidentiality rules applied  yes
Threshold of number of enterprises (Number)  4
Number of enterprises non confidential, if number of employments is confidential  no
Dominance criteria applied  yes
If dominance criteria applied specify the threshold (Number) one unit has more than 70% or two units have more than 80% of the turnover
Secondary confidentiality applied  yes
Comment  


8. Release policy Top
8.1. Release calendar

Calendar realese is issued at the begining of the year. https://insse.ro/cms/files/catalog/calendar-comunicate-de-presa-2023.pdf

8.2. Release calendar access

https://insse.ro/cms/files/catalog/calendar-comunicate-de-presa-2023.pdf

8.3. Release policy - user access


9. Frequency of dissemination Top

Annual.


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

Press release is done on regular basis (T+11 months)

10.2. Dissemination format - Publications

https://insse.ro/cms/ro/content/rezultate-%C5%9Fi-performan%C5%A3e-ale-%C3%AEntreprinderilor-din-industrie-%C5%9Fi-construc%C5%A3ii-%C3%AEn-anul-2021

Publication is available in Romanian language

10.3. Dissemination format - online database

Data are disseminated in the online database TEMPO:

http://statistici.insse.ro:8077/tempo-online/#/pages/tables/insse-table

Data are annually disseminated

10.4. Dissemination format - microdata access

Micro-data are not disseminated

10.5. Dissemination format - other

Statistical yearbook

10.6. Documentation on methodology

Methodological guideline and statistical metadata:

http://statistici.insse.ro:8077/tempo-online/#/pages/tables/insse-table 

Guideline and metadata are available in Romanian language

10.7. Quality management - documentation

Quality guideline: 

https://insse.ro/cms/files/eurostat/Ghid%20de%20calitate%20al%20statisticii%20oficiale.pdf

The guide is available in Romanian language


11. Quality management Top
11.1. Quality assurance

The following documents are the basis for qality assurance:

Commitment to support the credibility of official national statistics NSI quality statement

Code of good practice of European statistics - 2017; 2011; 2005

The quality guide of official statistics from Romania

Methodological guide for data editing

11.2. Quality management - assessment


12. Relevance Top
12.1. Relevance - User Needs

The main internal users are the national accounts department, the STS department and other statistical departments in the NSI. Other internal users are: media, researchers and businesses.

External users are: Eurostat, UN and other international organisations.

12.2. Relevance - User Satisfaction

12.3. Completeness

All the requested variables are compiled and disseminated. Data are compiled also by size class, NUTS and CPA as requested by the regulation.


13. Accuracy Top
13.1. Accuracy - overall

The accuracy of the data is considered as very good. The source of error is non-response.

13.2. Sampling error

The CV is compiled at cell level, using SAS procedure PROC SURVEYMEANS.

13.3. Non-sampling error

For the non-responses we are using the administrative data. In case admin data are not available the final weighting rates are adjusted with the non-reponse rate.


14. Timeliness and punctuality Top
14.1. Timeliness

According to the EBS regulation

14.2. Punctuality

According to the EBS regulation


15. Coherence and comparability Top
15.1. Comparability - geographical

15.2. Comparability - over time

2018-2021 according to enterprise definition

15.2.1. Time series
  Time series 
First reference year available (calendar year)  2018
Calendar year(s) of break in time series  no
Reason(s) for the break(s)  statistical unit
Length of comparable time series (from calendar year to calendar year)  2018-2021
Comment  
15.3. Coherence - cross domain

Coherence of cross domain is ensured. Due to lack of information the sole proprietors data were included only since reference year 2021.

15.4. Coherence - internal


16. Cost and Burden Top

A dedicated survey for measuring cost and burden is not carried out


17. Data revision Top
17.1. Data revision - policy

Statistical data are revised when there are errors. Some type of revisions are applied: planned revisions, severe revisions due to errors.

17.2. Data revision - practice


18. Statistical processing Top
18.1. Source data

The data source is statistical survey combined with administrative sources.

The sample design is stratified based on following stratifications criteria: NACE activity code, size class according to employment

The main administrative data source used are the annual financial statements and social security. A number of variables are derived directly from the administrative sources and some others are calculated on those sources. Annual financial statements are used for monetary variables while social security data are used for employment variables.

Data sources used for the imputation in case of non-response are the same: financial statements of the enterprises and social security. The data source used for calibration are the financial statements (turnover)

We have access to micro data with good frequency. We are receiving several stages which insure a good completeness.

The frame is based on financial statement data which feeds the Statistical Business Register (SBR).

The variable used for identifying principal and secondary activities is the turnover.

We are updating the principal activity based on the stability rules that we are applying by keeping the same code for two consecutive years. The SBR is updated similar as SBS. A new sample is drawn every year.

18.1.1. Data sources overview
  Data sources overview
Survey data yes
VAT data yes
Tax data yes
Financial statements yes
Other sources, please specify  
Comment  
18.2. Frequency of data collection

Annual data collection.

18.3. Data collection

For the part of the data collected in the statistical survey, paper questionnaire and electronic (Excel questionnaires) are used. The electronic questionnaires contain a number of quality/consistency checks.

In case of non-responses the actions taken are to re-contact the units.

For the part which is derived from administrative sources data are extracted from the database that is provided by the Taxation Authority

18.4. Data validation

The validation process consist of different steps:

- checking the format and file structure

- checking the data at record level; the compleatness of the data. The main indicators (employment, turnover etc) are validated. Checks bewteen variables are also applied (for examples employment versus wages and salaries, incomes versus expenditures, investments)

- checks for similar variables between other business statistics domains or employment statistics

- checks over time of data both at record level and aggregated level (NACE class)

- checks at the unit level of main indicators (turnover, employment, investments) between data collected in the statistical survey and those available in the administrative data sources.

18.5. Data compilation

18.6. Adjustment

Reference year is equal to calendar year


19. Comment Top

Not available


Related metadata Top


Annexes Top
quality indicators