structural business statistics (ssp/l) for

Litostrojska cesta 54, SI-1000 Ljubljana, Slovenia Phone: +386 1 241 64 00; fax: +386 1 241 53 44; e-mail: [email protected]; website: www.stat.si

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REPUBLIC OF SLOVENIA

ANNUAL QUALITY REPORT

FOR THE SURVEY

STRUCTURAL BUSINESS STATISTICS (SSP/L)

FOR

2011

Prepared by: Nataša Pušlar Car

Date: March 2014


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Table of Contents

0 Methodological Explanations ............................................................................................. 3 1 Relevance ........................................................................................................................... 6

1.1 Rate of Unavailable Statistics ...................................................................................... 6

2 Accuracy ............................................................................................................................. 7 2.1 Sampling Errors ........................................................................................................... 7

2.1.1 Sampling Error ................................................................................................... 7 2.2 Coverage Bias .............................................................................................................. 7

2.2.1 Coverage Bias .................................................................................................... 7

2.3 Non-Sampling Errors ................................................................................................... 7 2.3.1 Non-Response Errors ......................................................................................... 7 2.3.1.1 Unit Non-Response Rate .................................................................................... 7 2.3.1.2 Item Non-Response Rate .................................................................................... 7 2.3.1.3 Imputation Rate .................................................................................................. 7

2.3.2 Coverage Errors .................................................................................................. 8 2.3.2.1 Overcoverage Rate ............................................................................................. 8 2.3.3 Measurement Errors ........................................................................................... 8

2.3.3.1 Editing Rate ........................................................................................................ 8 2.3.4 Rate of the Coherence of Data Sources .............................................................. 8

3 Timeliness and Punctuality ................................................................................................ 8 3.1 Timeliness .................................................................................................................... 8

3.1.1 Timeliness of the First Results ........................................................................... 8 3.1.2 Timeliness of Final Results ................................................................................ 8

3.2 Punctuality ................................................................................................................... 9 3.2.1 Punctuality of the First Results .......................................................................... 9

4 Accessibility and Clarity .................................................................................................... 9

4.1 Accessibility ................................................................................................................ 9

4.1.1 Means Used for the Dissemination .................................................................... 9 4.2 Clarity ........................................................................................................................ 10

4.2.1 Results Presented .............................................................................................. 10

4.2.2 Level (Detail) of Presentation .......................................................................... 10 5 Comparability ................................................................................................................... 10

5.1 Comparability over Time ........................................................................................... 10 5.1.1 Length of Comparable Time Series ................................................................. 10

5.1.2 Breaks in Time Series ...................................................................................... 10 5.2 Geographical Comparability ...................................................................................... 11

5.2.1 Comparability with Other Members of the European Statistical System ........ 11 5.3 Seasonal Adjustment ................................................................................................. 11

6 Coherence ......................................................................................................................... 11

6.1 Coherence between Provisional and Final Data ........................................................ 11

6.1.1 Coherence between Provisional and Final Data ............................................... 11

6.2 Coherence with the Results of the Reference Survey ................................................ 12 6.2.1 Reference Survey ............................................................................................. 12 6.2.2 Coherence with Reference Data ....................................................................... 13

7 Costs and Burdens ............................................................................................................ 14 7.1 Survey Costs of the Office ......................................................................................... 14

7.2 Burden of Reporting Units ........................................................................................ 15


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0 Methodological Explanations

Brief Description of the Survey The purpose of structural business statistics is to monitor operation of enterprises and to

assure internationally comparable data by taking into consideration the European standards on

structural business statistics (SBS) and the European System of National Accounts (ESA), to

monitor the results of business entities, local units and local kind of activity units, to monitor

and estimate changes in individual activities at regional and national levels and in comparison

with other countries and markets, to monitor production factors and business conditions, and

to monitor specific features of individual economic activities.

The calculated indicators for SBS enable the analysis of events and structural changes in the

business population and provide basic information for preparing market analyses and making

business decisions in the enterprises. Structural business statistics measures the results of

enterprises, investments, employment and labour costs.

Legal Basis for the Survey The National Statistics Act and the Annual Programme of Statistical Surveys, i.e. Zakon o

državni statistiki (Uradni list RS, št. 45/95 in 9/01), Letni program statističnih raziskovanj for

2011 (Uradni list RS, št. 93/2010), constitute the legal basis for conducting the statistical

survey SBS. In the mentioned Annual Programme, structural business statistics is identified

with its number, name and survey designation, i.e. task No.: 3.01.01.08, Zbirna letna statistika

o poslovanju podjetij, i.e. Yearly statistics on performance of enterprises (SSP/L).

The statistical survey is also governed by the following European regulations:

Regulation (EC) No 295/2008 of the European Parliament and of the Council concerning

structural business statistics (recast). It establishes a common framework for the collection,

compilation, transmission and evaluation of Community statistics on the structure, activity,

competitiveness and performance of businesses and the Community.

Commission Regulation (EC) No 250/2009 implementing Regulation (EC) No 295/2008 of

the European Parliament and of the Council as regards the definitions of characteristics, the

technical format for the transmission of data, the double reporting requirements for NACE

Rev. 1.1 and NACE Rev. 2 and derogations to be granted for structural business statistics. It

defines also the characteristics which are collected in the line with Regulation (EC) No

295/2008.

COMMISSION REGULATION (EC) No 251/2009 implementing and amending Regulation

(EC) No 295/2008 of the European Parliament and of the Council as regards the series of data

to be produced for structural business statistics and the adaptations necessary after the

revision of the statistical classification of products by activity (CPA).

Observation Units Observation units are enterprises and their parts which are registered for performing

predominantly market activity on the territory of the Republic of Slovenia and which were

active at least a part of the observation period. Operation of enterprises which are by the

Standard Classification of Institutional Sectors (SKIS) in the Government sector (SKIS 13)

and in the Non-profit institutions serving households sector (SKIS 15) is not included in the

observation. In the survey we observe the statistical activity which is for statistical purposes in

the Statistical Business Register defined to an enterprise as its main activity and can in some


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cases differ from the registered activity defined in the Business Register of Slovenia (PRS),

kept by the Agency for Public Legal Records and Related Services (AJPES). The statistical

activity is determined for the major units whose main activity based on existing statistical data

differs from the registered main activity.

Structural business statistics observe enterprise performance which is in detail defined in four

annexes to the basic regulation and cover industry (sections B–E), construction (section F),

trade (section G) and services (sections H, I, J, L, M and N, and division S95).

Financial services are defined in three special annexes to the regulation and are not covered in

this report.

In this document we also do not give explanations on the data on environmental protection

expenditure which is defined in Annex 2 to the basic regulation. In the annex industry three

special data series on environmental protection expenditure are defined which have to be

reported to Eurostat. Data are gathered by a special survey in the Environmental Statistics

Sector. The last standard quality report for the mentioned data is published on our website at:

http://www.stat.si/doc/metodologija/kakovost/20%20_LPK_OKI_2011_en.pdf.

Structural business statistics observe the main activity of enterprises from the following areas

of the Standard Classification of Activities 2008: Mining and quarrying (B), Manufacturing

(C), Electricity, gas, steam and air conditioning supply (D), Water supply, sewerage, waste

management and remediation activities (E), Construction (F), Wholesale and retail trade,

repair of motor vehicles and motorcycles (G), Transportation and storage (H),

Accommodation and food service activities (I), Information and communication (J), Real

estate activities (L), Professional, scientific and technical activities (M), Administrative and

support service activities (N) and Repair of computers and personal and household goods

(S95).

Coverage Structural business statistics cover market business entities which perform activities from B –

Mining and quarrying, to N – Administrative and support service activities (without K –

Financial and insurance activities) and S95 – Repair of computers and personal and household

goods of the Standard Classification of Activities 2008 and were active at least for part of the

observation period. Enterprises are active if they had turnover or labour costs during the

observation period.

Data by the Standard classification of activity 2008 are published on the websites of the

Statistical Office of the Republic of Slovenia (SURS) on the SI-STAT Data Portal, also for

the 2005-2007 period. Data for the 2005-2007 period are recalculated according to the new

classification of activities and therefore of lower quality. Backcasting was implemented at

micro level, which means assigning a new activity code (in terms of the new classification) to

each unit and for every period and recalculating the data in order to have the series expressed

in terms of the new classification. After that we again calculated all the statistics and

aggregates.

Data for the observed activities for the 1995–2007 period by the NACE Rev. 1.1 are

published in the Archive of data by NACE Rev. 1.1 on the SI-STAT Data Portal.

The framework for the activities surveyed was the statistical business register, excluding non-

market enterprises (SKIS 13 and 15). In 2011, there were 117,481 active enterprises.


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We publish data broken down to NACE Rev. 2, to the 4-digit level, i.e. the level of class, data

by size classes broken down to the level of group, and regional statistic broken down to the

level of division.

Key Variables • Turnover.

• Capitalised own products and services.

• Inventories of materials, raw materials, products and merchandise.

• Cost of goods, materials and services.

• Other operating expenses.

• Subsidies, grants, allowances.

• Investment in new tangible fixed assets and investment in existing tangible fixed

assets.

• Purchase of land.

• Persons employed.

Key Statistics • Turnover.

• Value added at factor cost.

• Total purchases of goods and services.

• Gross investment in tangible goods.

• Persons employed.

Questionnaire There is no questionnaire for structural business statistics. Data are obtained primarily from

administrative sources and cover all sectors and for this reason the survey with additional data

collection in the field with a questionnaire is not necessary.

Methodological Explanations Methodological explanations for structural business statistics are available on the SURS

website: http://www.stat.si/doc/metod_pojasnila/14-157-ME.pdf.

Methodological explanations for environmental protection expenditure which are also defined

in the regulation concerning structural business statistics are available on the SURS website:

http://www.stat.si/doc/metod_pojasnila/27-118-ME.htm.


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1 Relevance

1.1 Rate of Unavailable Statistics

Data are reported to Eurostat by different series. Since certain variables are presented in some

series and in others they are not, the share of missing statistics (U1) can be reasonably

estimated with regard to an individual series which is as percentage shown in the table below.

All the variables are reported for provisional data, so the rate of unavailable statistics U1 = 0.

Final data are more detailed and contain a larger number of statistics, so the rate of

unavailable statistics can differ from individual series or the annex. The rate of unavailable

statistics in the case of Annex I (general part) is U1 = 0.05. In the case of Annex II (industry)

the rate of unavailable statistics U1 = 0.12. In the case of Annex III (trade) the rate of

unavailable statistics is U1 = 0.03. In the case of Annex IV (construction) the rate of

unavailable statistics is U1 = 0.03.

The availability rate (in percentage) by series sent to Eurostat is from the quality report,

prepared by Eurostat. The report is based on the data prepared according to the first

disseminated versions. Calculation:

100applicable fields ofnumber

provided cells ofnumber

Table 1.1: The availability rate by series

%

Total 92

1A – Annual enterprise statistics for services 93

1B – Annual enterprise statistics by size class for services 100

1C – Annual regional statistics for services 100

1E – Annual enterprise statistics for special aggregates of activities 93

2A – Annual enterprise statistics for industry 87

2B – Annual enterprise statistics by size class for industry 92

2C – Annual regional statistics for industry 100

2D – Annual KAU statistics for industry 83

2F – Multiannual enterprise statistics – Sub-contracting statistics for industry 100

3A – Annual enterprise statistics for distributive trades 95

3B – Annual enterprise statistics by size class of employment for distributive trades 100

3C – Annual regional statistics for distributive trades 100

3D– Annual enterprise statistics by size class of turnover for distributive trades 100

4A – Annual enterprise statistics for construction 95

4B – Annual enterprise statistics by size class for construction 100

4C – Annual regional statistics for construction 100


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2 Accuracy

2.1 Sampling Errors

2.1.1 Sampling Error

Since in principle there is complete coverage, the sampling error is not calculated.

2.2 Coverage Bias

2.2.1 Coverage Bias

The calculation of coverage bias is not necessary since there is full coverage for structural

business statistics.

2.3 Non-Sampling Errors

2.3.1 Non-Response Errors

2.3.1.1 Unit Non-Response Rate

Since statistics are calculated on the basis of full coverage from the administrative or existing

sources, the non-response rate is assumed to be 0. That is to say, for each unit of the observed

population, we have data on at least one variable (from administrative sources).

2.3.1.2 Item Non-Response Rate

In certain cases the applied administrative sources are not sufficiently broken down, or do not

contain all the necessary variables. For example, the missing variable is Purchase value of

goods and materials sold in the Prepayment of income taxes for the income realised upon the

pursuit of activities. For the calculation of this variable we look at the lowest level of the

Standard Classification of Activity (SKD) (5th level of SKD or appropriate higher level) and

consider the share of this variable (Purchase value of goods and materials sold) in Cost of

goods, materials and services (this variable exists in the declaration) from annual accounts for

self- employed persons.

The share of variable Purchase value of goods and materials sold obtained from the source

Prepayment of income taxes for the income realised upon the pursuit of activities can be

calculated.

The item non-response occurs also for those variables, the data for which are obtained from

existing sources or surveys. For example, for the set of variables obtained from the investment

survey, the item non-response rate is the same as the unit non-response rate for this survey.

2.3.1.3 Imputation Rate

For the time being, there is no estimate on the missing values. A certain estimate is being

made for individual sources which are insufficiently broken down. For example, the micro

variable Net sales revenue is missing in the turnover tax declaration. To calculate this variable

at the lowest level of SKD (5-digit SKD or an appropriate higher level) the share of such a


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variable should be considered in the whole turnover in the final accounts for individual

entrepreneurs. When calculating the variable Net sales revenue, the right shares are multiplied

by all turnover from the turnover tax declaration.

2.3.2 Coverage Errors

2.3.2.1 Overcoverage Rate

Not relevant.

2.3.3 Measurement Errors

2.3.3.1 Editing Rate

For now the editing rate is not calculated.

2.3.4 Rate of the Coherence of Data Sources

For structural business statistics there are different sources for the same variable. We consider

the priority of sources and we have only one source for each variable. We can get turnover

from the annual accounts and also from the tax source. Turnover in Prepayment of income

taxes for the income realised upon the pursuit of activities is not broken down to such detail

because turnover contains all kinds of turnover and not net income that we need according to

structural business statistics.

3 Timeliness and Punctuality

3.1 Timeliness

3.1.1 Timeliness of the First Results

Table 3.1.: Timeliness of the First Results

Reference period 2011

Date of publishing 22.11.2012

Time lag T+11

According to the Regulation, the results of the First Release should be prepared within 10

months following the end of the reference period (T+10). At the same time, data should also

be communicated to Eurostat. The results are published in less than a month later (T+11).

3.1.2 Timeliness of Final Results

Table 3.1: Timeliness of the Final Results


Date of publishing 25. 7. 2013

Time lag T+19

According to the Regulation, the final data should be prepared within 18 months following the

end of the reference period (T+19). At this time, data should also be communicated to

Eurostat. Data are published about 1 month later (T+19).


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3.2 Punctuality

3.2.1 Punctuality of the First Results

Table 3.2: Punctuality of the First Results


Announced date 22.11.2012

Publishing date 22.11.2012

Difference 0

The announced and actual dates of publication for 2011 were the same.

4 Accessibility and Clarity

4.1 Accessibility

4.1.1 Means Used for the Dissemination

Table 4.1: Means Used for Dissemination

No.: Mean Used

1

Website

(e.g. First Release, E-release) YES

2 Publication in the SI-STAT Data Portal YES

3

Publication in the interactive web tools

(e.g. Interactive Statistical Atlas of Slovenia, Thematic

Cartography) NO

4 Ad hoc prepared data for users according to their specification YES

5 Data available through telephone answering machine NO

6

General printed publications

(e.g. Statistical Yearbook, Slovenia in Figures) YES

7

Thematic printed publications

(e.g. Rapid Reports, Brochures) NO

8

External databases

(e.g. Social Science Data Archives, Eurostat, OECD databases) YES

9 Statistically protected micro data YES

10 Preliminary access to data according to standard protocol NO


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4.2 Clarity

4.2.1 Results Presented

Data are displayed in absolute values (number, EUR thousand or million). In the Statistical

Yearbook charts are also presented. Data are yearly, so there are no seasonally adjusted

values.

4.2.2 Level (Detail) of Presentation

Data are presented broken down by the activities, by the activities and size classes (of

employees and of turnover), and by activities and cohesion regions. Data, presented broken

down only by the activity criteria, are broken down to the level of classes; in cases when the

additional criteria are used, that is size classes and regions, data are broken down to the levels

of groups and divisions, respectively.

5 Comparability

5.1 Comparability over Time

5.1.1 Length of Comparable Time Series

The time series exists as of the reference year 1995. Because of the changes in the

classification of activity and changes in the regulation concerning structural business statistics

comparable series of data are available for 2005-2011 period. The value of the indicator of the

length of comparability of time series was therefore 5.

5.1.2 Breaks in Time Series

The break in time series is for investment, where from 2005 on the INV-2 survey is also

considered as a source of final data.

On 1 January 2008 the new classification of activities of business entities NACE Rev. 2,

which replaced NACE Rev 1.1, came into force in all EU Member States. In the Republic of

Slovenia the national version of the standard classification, called SKD 2008, which includes

the entire European classification of activities, but also adds some national subclasses, came

into force on the mentioned date.

The new classification brings many changes, which are the result of structural changes in the

economy in the recent years. Most of the changes thus involve market services and

manufacturing. A very important change was the new structure of the classification, since

there is no longer the level of subsection (2-digit code).

In 2008 structural business statistics data were disseminated according to NACE Rev. 2 for

the first time, so a break in the time series occurred. Because of the change of the Standard

Classification of activity, the data for the 2005-2007 period had to be recalculated according

to the new classification of activities (backcasting). Data are now comparable from 2005

onward and there is a break in the time series in 2005.

Backcasting was implemented at macro level, which means that the results in the new time

series were recalculated directly from the old results by using correspondence and conversion

tables. A correspondence table links activities at the 5-digit level of the old and new

classifications, while a conversion table shows shares of conversion of individual activities by


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turnover. Conversion tables are used in the case one class from the old classification is split

into several classes in the new classification, and vice versa. Conversion tables were prepared

for individual years from 2000 to 2008, depending on the annual situation in the Statistical

Business Register.

5.2 Geographical Comparability

5.2.1 Comparability with Other Members of the European Statistical System

Structural Business Statistics Survey is based on Regulation (EC) No 295/2008 of the

European Parliament and of the Council concerning structural business statistics (recast). Data

for structural business statistics are prepared according to the European regulations which

have to be considered by all European countries which report data to the European statistical

office - Eurostat and are comparable to the data of other EU Member States.

Detailed information on methodology for structural business statistics and methodology of

individual EU Member States are available on the website:

http://epp.eurostat.ec.europa.eu/portal/page/portal/european_business/methodology_classifica

tions.

5.3 Seasonal Adjustment

This is an annual survey, thus no methods of seasonal adjustment are applied in this survey.

6 Coherence

6.1 Coherence between Provisional and Final Data

6.1.1 Coherence between Provisional and Final Data

Provisional and final data did not differ much. Provisional and final data are measured for the

key variables “Number of enterprises”, “Turnover” and “Number of employees” and the

levels of sections B-N without K and division S95. Since the coverage is a little bigger for the

final data, there are some differences. For the main variables those differences are presented

in the table below.

Table 6.1: Differences between provisional and final data for the main variables, 2011

Activity

Nace Rev. 2

PROVISIONAL FINAL

Final–provisional data

comparison

enterprises employees turnover enterprises employees turnover enterprises employees turnover

number EUR 1,000 number EUR 1,000 %

SBS,

Total 116,402 525,764 80,934,791 117,481 513,715 80,045,507 0.9 -2.3 -1.1

B 108 2,395 276,071 109 2,395 267,682 0.9 0.0 -3.0

C 16,805 184,550 24,617,475 17,012 183,629 24,424,297 1.2 -0.5 -0.8

D 797 8,520 5,286,873 882 7,831 5,293,389 10.7 -8.1 0.1

E 380 9,546 1,146,377 383 9,547 1,146,389 0.8 0.0 0.0

F 18,826 56,094 5,469,744 18,940 56,325 5,191,052 0.6 0.4 -5.1


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G 24,585 111,001 28,807,999 24,786 102,650 28,714,175 0.8 -7.5 -0.3

H 8,457 41,809 4,943,432 8,510 38,641 4,646,319 0.6 -7.6 -6.0

I 8,316 27,806 1,532,815 8,419 27,683 1,525,655 1.2 -0.4 -0.5

J 6,299 18,364 2,953,.432 6,337 18,864 2,930,932 0.6 2.7 -0.8

L 2,160 3,806 594,141 2,189 3,820 601,038 1.3 0.4 1.2

M 23,714 35,885 3,982,336 23,794 36,358 3,990,742 0.3 1.3 0.2

N 4,851 25,170 1,230,076 5,012 25,162 1,220,788 3.3 0.0 -0.8

S95 1,104 818 94,020 1,108 810 93,049 0.4 -1.0 -1.0

6.2 Coherence with the Results of the Reference Survey

6.2.1 Reference Survey

Business Demography (SPR-DEM/L)

The Business Demography Survey is defined by Annex IX in the Regulation (EC) No

295/2008 of the European Parliament and of the Council concerning structural business

statistics (recast) which establishes a common framework for the collection, compilation,

transmission and evaluation of Community statistics on the structure, activity,

competitiveness and performance of businesses and the Community. Data on enterprise births,

enterprise survivals and enterprise deaths are collected with the statistical survey Business

Demography. The main source of data for the statistical survey Business Demography is data

on active enterprises in Slovenia in each reference period from the Statistical Business

Register (SPR). The main source for data on employment is the Statistical Register of

Employment (SRDAP) kept by SURS.

Comparable variables for 2011: number of enterprises, number of persons employed

Statistical Survey on Gross Investments (INV-1 and INV-2)

With the statistical survey on gross investments data are collected on actual gross investments

and payments for them, without purchase of land and related transaction costs from direct

investors, i.e. companies, enterprises and organisations (business entities). The estimate of

gross capital formation (gross investments, changes in stocks and valuables) is one of the

items for the calculation of the gross domestic product according to the expenditure approach.

The data are also used for monitoring of investments in structural business statistics. Data are

collected with the INV-1 and INV-2 questionnaires (Gross Investments), which have to be

filled in by business entities with data for the previous year in line with the National Statistics

Act (OJ RS, No. 45/95 and 9/01).

Comparable variables for 2011: 15110 (Gross investment in tangible goods) in Structural

Business Statistics and (new and existing): construction work and premises, machinery and

equipment, transport equipment, biological assets.


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6.2.2 Coherence with Reference Data

Business Demography (SPR-DEM/L)

Data between Business Demography (SPR-DEM/L) and Structural Business Statistics

(SSP/L) deviate to a certain extent. The main source for Business Demography is the

Statistical Business Register (SBR). Differences between structural business statistics (SBS)

and business demography (BD) arise due to a different definition of activity, different

methods of imputation and the additional source for data on the main activities from the

Business Services Survey in SBS. The different rules for rounding is used for data on persons

employed and employees (values larger than 0 and smaller than 0.5 in Business Demography

are rounded to 1, in Structural Business Statistics to 0).

Table 6.2: Coherence between surveys Business Demography (BD) and Structural Business Statistics (SBS),

2011

Activity

Nace Rev. 2

Enterprises Persons employed

SSP, No. BD, No. % SSP, No. BD, No. %

Total 117,481 124,461 -5.6 585,208 590,316 -0.9

B 109 112 -2.7 2,436 2,441 -0.2

C 17,012 17,419 -2.3 193,666 194,618 -0.5

D 882 812 8.6 8,435 8,267 2.0

E 383 443 -13.5 9,664 9,716 -0.5

F 18,940 21,618 -12.4 68,966 72,073 -4.3

G 24,786 25,817 -4.0 115,799 115,430 0.3

H 8,510 8,924 -4.6 44,551 45,186 -1.4

I 8,419 8,891 -5.3 33,261 33,802 -1.6

J 6,337 6,620 -4.3 22,611 23,045 -1.9

L 2,189 2,261 -3.2 4,848 4,589 5.6

M 23,794 25,184 -5.5 50,696 51,612 -1.8

N 5,012 5,213 -3.9 28,549 27,799 2.7

S95 1,108 1,147 -3.4 1,726 1,738 -0.7

Statistical Survey on Gross Investments (INV-1 and INV-2)

The reason for the differences between Structural Business Statistics and the Statistical survey

on gross investments is different methodologies. In the Statistical Survey on Gross

Investments only new and existing tangible fixed assets are shown, without purchase of land

and related transaction costs (construction work and premises, machinery and equipment,

transport equipment, biological assets). In the survey, a sample is taken into account with

certainty of at least 20 employees or at least EUR 1 million of purchase value of fixed assets.

For non-response, grossing through the ratio estimator was performed. In the Statistical

Survey on Gross Investments all business entities are covered, also non-market ones, which

according to the Standard Classification of Institutional Sectors (SKIS) are defined in the

General government sector (SKIS 13) and Non-profit institutions serving households (SKIS

15) and that is why a bigger difference is noticeable in data.


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Gross investment in tangible fixed assets includes – in addition to variables covered by the

Statistical Survey on Gross Investments – also purchase of land and related transaction costs.

In the SBS the missing data are imputed from the value added tax (VAT) database.

Table 6.3: Coherence between Statistical Survey on gross investment (INV) and Structural Business Statistics

(SBS), 2011 Activity

Nace Rev.2

Gross investment in tangible goods

mio. EUR Difference

%

INV (without land) SBS INV-SBS

Total 4,062 3,904 4.0

A 25 - -

B 31 33 -6.1

C 1,050 1,295 -18.9

D 364 476 -23.5

E 45 59 -23.7

F 60 174 -65.5

G 323 547 -41.0

H 490 541 -9.4

I 74 144 -48.6

J 151 164 -7.9

K 251 - -

L 12 196 -93.9

M 106 212 -50.0

N 14 61 -77.0

O 683 - -

P 169 - -

Q 156 - -

R 56 - -

S 5 - -

S95 - 1 -

7 Costs and Burdens

7.1 Survey Costs of the Office

Table 7.1: Survey costs at the Statistical Office


Number of working hours spent 2,442

Number of reporting units that had to fill in questionnaires -

Survey period annual

Number of questionnaires per year (total) -


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7.2 Burden of Reporting Units

In the survey existing administrative and statistical sources are used, so there is no burden on

the reporting units.

structural business statistics (ssp/l) for

Documents