Structural business statistics - historical data (sbs_h)

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

Romania, 050706, Bucharest, 16 Libertatii Avenue


2. Metadata update Top
2.1. Metadata last certified 28/03/2023
2.2. Metadata last posted 28/03/2023
2.3. Metadata last update 28/03/2023


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 non-financial business economy with the exception of agricultural activities and personal services. Limited information is available on banking, insurance and pension funds.

 Main characteristics (variables) of the SBS data category:

  • Business demographic variables (e.g. Number of enterprises)
  • "Output related" variables (e.g. Turnover, Value added)
  • "Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments)
3.2. Classification system

Statistical Classification of Economic Activities in the European Community (NACE): NACE Rev.1 was used until 2001, NACE Rev. 1.1 since 2002, and NACE Rev 2 is used from 2008 onwards. Key data were double reported in NACE Rev.1.1 and NACE Rev.2 for 2008. From 2009 onwards, only NACE Rev.2 data are available.

The regional breakdown of the EU Member States is based on the Nomenclature of Territorial Units for Statistics (NUTS). Detailed information about the consecutive NUTS Regulations can be found at Eurostat's website

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

The SBS coverage was limited to Sections C to K of NACE Rev.1.1 until 2007. Starting from the reference year 2008 data is available for Sections B to N and Division S95 of NACE Rev.2. With 2013 as the first reference year information is published on NACE codes K6411, K6419 and K65 and its breakdown.

3.4. Statistical concepts and definitions

The statistical characteristics are defined in Annex I of Commission Regulation (EC) No 250/2009

3.5. Statistical unit

Enterprise

3.6. Statistical population

All enterprises are included. The frame population is based on Statistical Business Register

3.7. Reference area

The entire country, but activity abroad of the enteprises is excluded.

3.8. Coverage - Time

1997-2020

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

2020 calendar year


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

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. The European Parliament and Council Regulation No 295/2008 was adopted on 14/02/2008 and the provisions of this Regulation are applicable from the reference year 2008. Regulation No 295/2008 has been amended by Commission Regulation (EU) No 446/2014.

6.2. Institutional Mandate - data sharing

Not applicable.


7. Confidentiality Top
7.1. Confidentiality - policy

Confidentially is stated in the Statistical Law 226/2009

7.2. Confidentiality - data treatment

Data are marked as confidential when there are less than 4 enterprises or when turnover of one or two enterprises dominate (more than 80% of the total turnover) one aggregate.


8. Release policy Top
8.1. Release calendar

The Press Release calendar

8.2. Release calendar access

http://www.insse.ro/cms/ro/comunicate-de-presa-view

8.3. Release policy - user access

Additional data aggregates which are not published in the publication are provided by the dissemination department upon request.


9. Frequency of dissemination Top

Annual


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

Regular press release

 

10.2. Dissemination format - Publications

Publication in Romanian available below:

Results and performances in trade and services enterprises

 



Annexes:
Results and performances in trade and services enterprises
10.3. Dissemination format - online database

TEMPO online database - annual data

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

 

 

10.4. Dissemination format - microdata access

No micro-data dissemination

10.5. Dissemination format - other

Statistical Yearbook

10.6. Documentation on methodology

Structural Business Statistics Methodological Guide

 

Metadata data 

10.7. Quality management - documentation

Internal Procedures


11. Quality management Top
11.1. Quality assurance

The administrative sources of data are used in order to reduce the burden on respondents to check the coherence of the data.

11.2. Quality management - assessment

The quality of the data is assesed based on quality indicators; coefficient of variation to measure the accuracy of the estimates. It is calculated as ratio of the standard deviation of the estimate to the value of that estimate. The coefficient of variation series were transmited to Eurostat.


12. Relevance Top
12.1. Relevance - User Needs

The main internal user is National Accounts Department. External users are: ministries, academia and businesses.

12.2. Relevance - User Satisfaction

User satistifaction survey was not carried out

12.3. Completeness

The data for NACE classes which are not published is caused by confidentiality issues.


13. Accuracy Top
13.1. Accuracy - overall

The main source of errors is the non-responses and incomplete data provided by the enterprises.

Time period from first release to final is 8 months according to the regulation requirements.

13.2. Sampling error

The enterprises with 20 and more employed persons are included exhaustively in the data collection. The enterprises below are selected using sampling method

13.3. Non-sampling error


14. Timeliness and punctuality Top
14.1. Timeliness

Provisional data are available T+10 months and final data are available T+18 months (as requested by SBS regulation).

14.2. Punctuality

There is no lag between


15. Coherence and comparability Top
15.1. Comparability - geographical

15.2. Comparability - over time

Comparable data for 2008-2019, enterprise equal to legal unit. Data before 2008 are collected and compiled according to Nace Rev.1.1. Since 2018 data are computed at enterprise level, enterprise defined in accordance with Regulation 969/1993.

 

15.3. Coherence - cross domain

The coherence between variables number of persons emplyed, turnover is checked between SBS and STS.

15.4. Coherence - internal


16. Cost and Burden Top

Not available


17. Data revision Top
17.1. Data revision - policy

The National Institute of Statistics Romania adopted revision policy which defines the standard rules and the principles for statistical data revision. This revision policy complies with: the European Statistics Code of Practice, adopted by the European Statistical System Committee (ESSC) in 2011; the European Statistical System Guidelines on the revision policy of the Principal European Economic Indicators, as well as with its annexes which comprise the principles of a common policy on European statistics revision; and with the Quality Guidelines.

17.2. Data revision - practice

Data are revised in case errors are detected. The revision policy is applied.


18. Statistical processing Top
18.1. Source data

Statistical survey combined with administrtive data (financial statments of the enteprises).

Sampling design:

 

 The sampling volume was determined by imposing that, at the total country level, the precision of the estimator for total turnover should be 0.03, at a confidence level of 95%, i.e.

 

where,

              - estimator of total turnover

              - total turnover.

 

The allocation of the selection volume in strata was done by the Neyman allocation method based on the standard deviation of the turnover variable values:

 

 

 where

 , volume in stratum h,

 n - total volume of sample

 

, weight of stratum h,

 standard deviation of the turnover in stratum h.

 

 

The minimum number units per strata was set up is 5 units. After drawing the sample, the coefficients of variation calculated for the number of employees and turnover indicators were analyzed, at NACE Rev.2 division level, size class and NACE code. The coefficients of variation resulted are below the allowed threshold of 30%.

18.2. Frequency of data collection

Annual data collection

18.3. Data collection

Paper and electronic (Excel) questionnaires

18.4. Data validation

Validation rules applied before the data are transmitted to Eurostat: intra-dataset checks, inter-dataset checks, intra-source checks; consistency checks between statistical domains

18.5. Data compilation

Data for non-respondent units are imputed using adminstrative sources (financial statments of the enterprise) and grossing up weights taking into account the non-response rate.

18.6. Adjustment

No differences between reference year and calendar year


19. Comment Top

No additional comments


Related metadata Top


Annexes Top
Quality indicators
q1
q2
q3
q4
qa
q5