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South African National Innovation Survey (INNOV) 2005: All provinces

Version
1.0
Resource Type
Dataset
Creator
  • Blankley, William
  • Heinamann, Cheryl Lynette
  • Department of Science and Technology, Human Sciences Research Council
Publication Date
2013-03-31
Embargo End Date
2013-03-31
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
ECONOMIC ACTIVITY; INNOVATION ACTIVITIES
Description
  • Abstract

    Description: The data set comprises the raw data from the 979 valid completed Innovation Survey questionnaires from the 979 private sector business enterprises plus the weightings for each cell defined by one of four size classes and Standard Industrial Classification (SIC) sub-sector. The data set has restricted access for the project team only.

    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 2005 collected primary data from the business sector, including Mining and Quarrying, Manufacturing, Electricity, Wholesale and Retail Trade, Transport and Financial Intermediation. Some general organisational information was collected. The survey however focussed 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

Temporal Coverage
  • 2005 / 2006
Geographic Coverage
  • South Africa (ZA)
Sampled Universe
Enterprises from the industrial sectors, including Mining, Manufacturing, Electricity, Wholesale and Retail Trade, Transport and Financial Intermediation.
Sampling
A multi-stage stratified random sample by Standard Industrial Classification (SIC) and size-group of enterprise was drawn from the September 2004 business register of Statistics South Africa. Turnover was used as a Measure Of Size (MOS) on the Business Frame (BSF). Applying DST sample specification a frame with 104 202 enterprises was created. To achieve a desired sample of 300 enterprises from this frame the number of size group 1 and 4 enterprises was reduced since it was planned that a census of the size group 1 enterprises was to be taken and only enterprises with over 10 employees were to be included in the sample. The resulting sample consisted of 3,087 enterprises with appropriate weights. After two postal rounds, telephonic and e-mail follow ups and reminders a final response of 979 completed questionnaires was obtained. The detailed sampling procedure is described in the document 'INNOV2005 Sampling_b.pdf'.
Time Dimension
  • Cross-section
    Cross-section, The first Innovation Survey covering the period 1992 to 1994 was conducted by the Foundation for Research Development (FRD) and the Industrial Strategy Project (ISP) of UCT during 1995 to 1996. The second Innovation Survey covering the period 1998 to 2000 was conducted by the Universities of Pretoria and Eindhoven during 2001 to 2002. The third Innovation (reported here) was conducted by CeSTII during 2005 to 2006 and covered the period from 2002 to 2004. Panel analysis is theoretically possible if data from several years are matched using the propensity score matching technique.
Collection Mode
  • Educational measurements
  • Postal survey
  • 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: 2019-09-14 | Issue Number: 1500 | Registration Date: 2014-09-22

Blankley, William; Heinamann, Cheryl Lynette; Department of Science and Technology, Human Sciences Research Council (2013): South African National Innovation Survey (INNOV) 2005: All provinces. Version: 1.0. HSRC - Human Science Research Council SA. Dataset. http://doi.org/10.14749/1400837283