Innovation activities of enterprises


  1. Contact
  2. Metadata update
  3. Statistical presentation
  4. Measurement unit(s)

  5. Reference period
  6. Institutional mandate
  7. Confidentiality
  8. Release policy
  9. Frequency of dissemination
  10. Accessibility and clarity
  11. Methodological documentation

  12. Quality management
  13. Relevance
  14. Accuracy and reliability
  15. Timeliness and punctuality
  16. Coherence and comparability
  17. Coherence
  18. Response burden

  19. Data revision

  20. Statistical processing
  21. Comments and other information

1 Contact
1.1 Contact organisation

Statistics Lithuania

1.2 Contact organisation unit

Knowledge Economy and Special Survey Statistics Division

1.3 Contact name

Daiva Girdauskienė

1.4 Contact person function


1.5 Contact mail address

29 Gedimino Ave., LT-01500 Vilnius, Lithuania

1.6 Contact email address

1.7 Contact phone number

+370 5 236 4785

1.8 Contact fax number

+370 5 236 4872

2 Metadata update
2.1 Metadata last certified


2.2 Metadata last posted 2020-03-31
2.3 Metadata last update 2020-03-26
3 Statistical presentation

Description of statistical information (main characteristics, purpose)

The purpose of innovative activity survey is to produce and provide for users statistics on the innovation activity of enterprises (institutions), innovation activity costs, type of innovators, cooperation partners, obstacles to innovation.


Classifications(s), classification system

National version (EVRK Rev. 2) of the Statistical Classification of Economic Activities in the European Community (NACE Rev. 2);

Register of Addresses of the Republic of Lithuania;

Nomenclature of Territorial Units for Statistics (NUTS).

3.3 Sector coverage

All institutional sectors.

3.4 Statistical concepts and definitions

Innovation – new or improved product or process (or combination thereof) which differs from the previous products or processes of the unit and which is accessible to potential users (in case of product) or which is used by the unit (in case of process).

Innovative activity – development, financial and commercial activity carried out by an enterprise with the aim of producing new or improving the existing products (goods and services) and introducing them to the market, creating and launching new or improved business processes.

Technological innovators – enterprises introducing new or improved products (goods or services), new or improved technological processes to their activity (including enterprises with ongoing and abandoned technological innovation activity).

Non-technological innovators – enterprises introducing new organisational and/or marketing processes to their activity.

Product innovation – a new or improved good or service that differs from the enterprise's previous goods or services and that has been introduced on the market.

Technological process innovation refers to the use of new and improved production methods (at the market or enterprise level) through the application of new equipment or production engineering methods. Process innovations are introduced both in the service and in the production spheres and cover new or improved production methods or delivery, distribution systems. Process innovation provides for the enhancement of the efficiency, automation and flexibility of production, improvement in the quality of goods (services), reduction in the environmental impact, and accident prevention and safety.

Organisational innovation – introduction of a new or improved organisational structure or management technique in order to improve knowledge management, quality of goods or services, workflow efficiency in an enterprise.

Marketing innovation – introduction of a new or improved product sales technique in order to enhance the consumer appeal of goods or services or to get into new markets.

Business process innovation – a new or improved business process for one or more business functions that differs from the firm’s previous business processes and that has been brought into use in the enterprise.

3.5 Statistical unit

Enterprise (institution)

3.6 Statistical population

Active enterprises (institutions) of all legal forms engaged in activities classified under sections B, C, D, E, F, G46, H, J, K, M71-73 of NACE Rev. 2 and having 10 and more employees.

3.7 Reference area

Country, county

3.8 Time coverage

Since 1998

3.9 Base period



Measurement unit(s)

Expenditure on innovation activities of enterprises (institutions) – EUR million;

all other indicators – per cent.

5 Reference period

The statistical survey is conducted every 2 years. Survey period is 3 years. For all quantitative indicators – reporting year.

6 Institutional mandate
6.1 Legal acts and other agreements

Decision No 1608/2003/EC of the European Parliament and of the Council of 22 July 2003 concerning the production and development of Community statistics on science and technology;

Commission Regulation (EC) No 995/2012 of 26 October 2012 implementing Decision No 1608/2003/EC of the European Parliament and of the Council as regards statistics on science and technology (OJ 2012 L 299, p. 18).


Data sharing and exchange


7 Confidentiality

Confidentiality policy

In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees the confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality Policy Guidelines of Statistics Lithuania.

7.2 Confidentiality - data treatment

Description of Statistical Disclosure Control Methods, approved by Order No DĮ-124 of 27 May 2008 of the Director General of Statistics Lithuania.

Integrated Statistical Information System Data Security Regulations and Rules for the Secure Management of Electronic Information in the Integrated Statistical Information System, approved by Order No DĮ-240 of 16 September 2020 of the Director General of Statistics Lithuania.

8 Release policy
8.1 Release calendar

 Statistical information is published on the Official Statistics Portal according to the Official Statistics Calendar


Link to the release calendar

Official Statistics Calendar


Release procedure

Statistical information is published following the Official Statistics Dissemination Policy Guidelines and Statistical Information Preparation and Dissemination Rules (only in Lithuanian).

9 Frequency of dissemination


10 Accessibility and clarity
10.1 News release

A news release on innovation activities is published every two years in December.



Planned publication: Digital economy and society in Lithuania.



Database of Indicators (Science and technology -> Innovation activities of enterprises)


Access to micro data

Microdata are available and provided for scientific purposes according to the provisions set in the Description of Procedures for the Provision of Confidential Statistical Data for Scientific Purposes. More information is available on the Official Statistics Portal, at Data for scientific purposes.

Public data files: users are also provided with opportunity to access public files with statistical data on observation units. More information is available on the Official Statistics Portal, at Public data files.

10.5 Other


Methodological documentation

Innovation activities of enterprises

12 Quality management
12.1 Quality assurance

The quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice and ESS Quality Assurance Framework

In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. The main trends in activity of Statistics Lithuania aimed at quality management and continuous development in the institution are established in the Quality Policy. Monitoring of the quality indicators of statistical processes and their results and self-evaluation of statistical survey managers is regularly carried out in order to identify the areas which need improvement and to promptly eliminate the shortcomings.

12.2 Quality assessment

The quality of the information obtained is analysed. Additional macro and micro statistical data quality control is performed. Statistical indicator estimates are compared with the results of the previous period.

13 Relevance
13.1 User needs

The main users of statistical information are State authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle.

13.2 User satisfaction

From 2005, user opinion surveys have been conducted on a regular basis. Official Statistics Portal traffic is monitored, website visitor opinion polls, general opinion poll on the products and services of Statistics Lithuania, target user group opinion polls and other surveys are conducted. In 2007, the compilation of a user satisfaction index was launched. The said surveys are aimed at the assessment of the overall demand for and necessity of statistical information in general and specific statistical indicators in particular.

More information on user surveys and their results is available in section User surveys on the Statistics Lithuania website.


Completeness of statistical information

All indicators established by the legislation and their components are published.


Data completeness - rate

100 per cent of information produced in accordance with the Official statistics programme Part I is published.

14 Accuracy and reliability
14.1 Overall accuracy

When calculating the indicator estimates, outliers are identified, data are edited.


Sampling error

Coefficient of variation of innovative enterprises in 2016–2018, stood at 2.5 per cent.


Non-sampling error


Non-response error

Unit non-response rate

The unit non-response rate stood at 1 per cent.

Item non-response rate

15 Timeliness and punctuality


The first release of statistical information (news release) – in the 12th month, detailed statistical information (Database of Indicators) – in the 15th month after the end of the reference year.



Statistical information is published in accordance with an Official Statistics Calendar. In case of delay, users are notified in advance by indicating the reason and a new date of publication.


Percentage of statistical information released on time

100 per cent

16 Coherence and comparability

Geographical comparability

Statistical data are comparable among the regions, counties of Lithuania and among EU countries.


Comparability over time

The time series is fully comparable since 2002.


Length of comparable time series

Since 2002.

17 Coherence

Cross-domain coherence

Full coherence is ensured.


Internal coherence

Internal coherence is fully ensured.


Response burden

The average time spent by a respondent on the filling in of the statistical questionnaire was 78 min.


Data revision


Revision policy

The revision policy of Statistics Lithuania is provided in the document General Principles behind the Performance, Analysis and Announcement of Revisions of Statistical Indicators.


Revision practice

The results published are final and not revised later.


Average of the change obtained during the revision


20 Statistical processing

Statistical data source

The main statistical data source – statistical survey on the development of innovation activity (questionnaire INV-01).

For information on turnover and staff, structural business statistics (SBS) survey data and administrative data sources (State Social Insurance Fund Board (Sodra) are used additionally.


Periodicity of statistical data collection



Statistical data collection

The data are collected via the electronic statistical data preparation and transfer system e-Statistics, by mail, fax, phone and email. The enterprises sampled fill in a statistical questionnaire (INV-01).

Questionnaires (only in Lithuanian)


Statistical data validation

In order to ensure statistical data quality, additional primary data check is performed (editing, statistical data validation, comparison with the previous year of statistical data). 

The first step is to check if the data meets the mathematical, logical control conditions. The statistics are corrected according to the nature of the error. Ignorance errors are corrected based on the reason for the error reported by the respondent. The exclusions or the corresponding mistakes found are explained with respondents. Mandatory corrections are always corrected. After collecting all the data, they are validated and edited: a set of distinguishing values, comparable aggregate data, interoperability, and validation of the validity of the edits are made.

20.5 Data compilation

Estimates of statistical variables are calculated using the Horvico-Tompson estimate.

The process of the preparation of statistical information is described in the Innovative activity statistical survey methodology (only in Lithuanian).


20.6 Adjustment


Comments and other information