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South African National Innovation Survey (INNOV) 2010-2012: All provinces

Version
1.0
Resource Type
Dataset
Creator
  • Heinamann, Cheryl Lynette
  • Mudavanhu, Precious
  • Sithole, Moses Mefika
  • Makelane, Hlamulo Reply
  • Kupamupindi, Takura
  • Department of Science and Technology, Human Sciences Research Council
Publication Date
2017-03-31
Embargo End Date
2017-03-29
Contributor
  • Department of Science and Technology (Producer)
  • Human Sciences Research Council (Producer)
Funding Reference
  • Department of Science and Technology
Free Keywords
Schema: UK DATA ARCHIVE - HASSET
INNOVATION INDICATORS; INNOVATION RATE; INNOVATION SURVEY; MANUFACTURING SECTOR; PRODUCT INNOVATION; SERVICE SECTOR
Description
  • Abstract

    Description: This data set contains the responses of South African business enterprises on their innovation activities carried out between 2010 and 2012. In completing the questionnaire, enterprises followed a skip pattern, e.g., depending on whether or not they had carried out product or process innovation during the period covered by the survey.

    Abstract: Innovation Surveys are currently designed to measure the extent of innovative activity in the industry and service sectors of the economy and are based on the guidelines of the OECD/Eurostat Oslo Manual and the core EU Community Innovation Survey (CIS) but are usually adapted by countries to meet particular country needs or conditions. Innovation Surveys are a source of data for developing policies to enhance innovation. The South African Innovation Survey follows the international OECD/Eurostat guidelines and methodology and is based on the core CIS with modifications and a few particular questions for the South African environment. Following international methodology allows the results of the South African Innovation Survey to be usefully compared with the results from other countries. The National innovation survey 2010 - 2012 collected primary data from the business sector. Although some general organisational information was collected, the survey focused on product and process innovation. Some of the indicators collected included the following: Share of firms that introduced a product innovation Share of firms that introduced a process innovation Share of firms that introduced a new-to-market product innovation Sources of information for innovation Total expenditures on innovation [as a % of total turnover] Factors hampering innovation in firms Share of (innovation active) firms that co-operated with foreign partners on innovation Share of (innovation active) firms that received public financial support for innovation A special section on firms that had innovation activity with environmental benefits Innovation Surveys are based on a random stratified sample of business enterprises from the national business register (or equivalent) and results are extrapolated to the original population. The South African Business Innovation Survey 2010 -2012 was based on a random stratified sample of 6 000 enterprises obtained from the Statistics South Africa business register. After cleaning the remaining entries in the database totaled 5850 valid enterprises and after two postal rounds and telephonic and e-mail follow ups and reminders a final response of 746 completed questionnaires was obtained giving an response rate of 16.0%. The key users of the data and findings include government departments, especially the DST and the OECD. Ad hoc requests for data are also accommodated and inform academic papers, reports and outputs.

Temporal Coverage
  • 2010 / 2012
Geographic Coverage
  • South Africa (ZA)
Sampled Universe
By Standard Industrial Code (SIC) (see attached document with file name: INNOV 2010-2012 Universe SIC Business Innovation Survey Codes book).
Sampling
Please see attached sampling frame and sample design from Stats SA (see attached documents with filenames: INNOV 2010-2012 Sample specifications for the South African Business Innovation Survey 2013 and INNOV 2010-2012 Final sample findings - Innovation Survey 2013). Completed questionnaires (responses) = 746 Non-responses = 5 104 Out-of-scopes = 1 192 Response rate = 100 x (Responses/(Responses + Non-responses - Out-of-scopes)) = 100 x (746/(746 + 5104 - 1 192)) = 16.0% Note: Please refer to the "INNOV 2010-2012 Limitations of data use" document when using the results.
Time Dimension
  • Cross-section
    Cross-section
Collection Mode
  • Email survey
  • Face-to-face interview
  • Postal survey
  • Self-completion
  • Telephone interview
Availability
Download
Rights
By accessing the data, you give assurance that The data and documentation will not be duplicated, redistributed or sold without prior approval from the rights holder. The data will be used for scientific research or educational purposes only. The data will only be used for the specified purpose. If it is used for another purpose the additional purpose will be registered. Redundant data files will be destroyed. The confidentiality of individuals/organisations in the data will be preserved at all times. No attempt will be made to obtain or derive information from the data to identify individuals/organisations. The HSRC will be acknowledged in all published and unpublished works based on the data according to the provided citation. The HSRC will be informed of any books, articles, conference papers, theses, dissertations, reports or other publications resulting from work based in whole or in part on the data and documentation. For archiving and bibliographic purposes an electronic copy of all reports and publications based on the requested data will be sent to the HSRC. To offer for deposit into the HSRC Data Collection any new data sets which have been derived from or which have been created by the combination of the data supplied with other data. The data team bears no responsibility for use of the data or for interpretations or inferences based upon such uses. Failure to comply with the End User License may result in sanctions being imposed.
Other

Update Metadata: 2019-09-15 | Issue Number: 723 | Registration Date: 2017-07-13

Heinamann, Cheryl Lynette; Mudavanhu, Precious; Sithole, Moses Mefika; Makelane, Hlamulo Reply; Kupamupindi, Takura et. al. (2017): South African National Innovation Survey (INNOV) 2010-2012: All provinces. Version: 1.0. HSRC - Human Science Research Council SA. Dataset. http://doi.org/10.14749/1487667112