National Research and Experimental Development Survey (R&D) 2014-15: All provinces in South Africa - Aggregated

Resource Type
  • Kondlo, Lwando Orbet
  • Binda, Lindiwe Eva
  • Frieslaar, Farzanah
  • Koranteng, Kesewaa
  • Kruss Van Der Heever, Glenda Esther
  • Maciko, Loyiso
  • Makelane, Hlamulo Reply
  • Maluleke, Maria Makhaukane
  • Mathekga, Mmanoko Jerry
  • Morrissey, Helen Lorna
  • Mshengu, Gina
  • Ralphs, Gerard Patrick
  • Sass, Theodore
  • Takatshana, Sinovuyo
  • Saunders, Natasha Charmaine
  • Parker, Saahier
  • Mustapha, Nazeem
  • Molotja, Neo
  • Clayford, Mario Andre
  • Sithole, Moses Mefika
  • Vlotman, Natalie Adelai
  • Mudavanhu, Precious
  • Whisgary, Darryn
  • Human Sciences Research Council
Publication Date
Embargo End Date
  • Human Sciences Research Council (Producer)
Funding Reference
  • Department of Science and Technology
Free Keywords
  • Abstract

    Description: This data set contains data on the R&D expenditure by province, type of R&D, research fields, socioeconomic objectives, sources of funds and province. R&D personnel data is also included. The data is recorded for each of the following economic sectors of the South African economy: Business, Government, Higher Education, Not-for-Profit Organisations and Science Councils. Subsequent to the dissemination of version 1 of the 2013-14 data files, some of the information has been anonymised and the revised data files are disseminated as Version 2.

    Abstract: The National Survey of Research and Experimental Development (R&D) Survey collects data under strict confidentiality. Aggregate data are used primarily to inform policy and strategic planning at a national level. The National R&D Survey 2014/15 collected primary data from five survey sectors: Business sector, made up of companies, business associations and state owned enterprises. Government sector, made up of national and provincial departments, research institutes and museums. Higher Education Institutions sector, made up of universities, universities of technology, technikons and private higher education institutions. Some limited supplementary data from HEMIS was used in this sector. Not-for-Profit Organisations (NPO) sector. Science Councils sector. Some general organisational information was collected. The survey however focused on Human Resources and Financial data relating to in-house R&D conducted on the national territory of South Africa. In-house R&D personnel categories included: Researchers Technicians directly supporting R&D Other personnel directly supporting R&D Qualifications, gender and race Full-time-equivalents (FTE) on R&D In-house R&D expenditure categories included: Capital expenditure, labour costs and other current expenditure. Type of R&D (basic research, strategic basic research, applied research, and experimental development) Provincial location Sources of funds Research fields (fields of science) Socio-Economic Objective Industry of R&D (Business sector only)

Temporal Coverage
  • 2015 / 2016
Geographic Coverage
  • South Africa (ZA)
Sampled Universe
The National R&D Survey 2014/15 collected primary data from five survey sectors: Business enterprises (BUS): The business sector of large, medium and small enterprises, including state-owned companies. Government (GOV): All government departments with an R&D component, government research institutes and museums. Higher education institutions (HEI): Higher education institutions, namely the 21 universities (and academic hospitals) and 15 technikons. Not-for-profit (NPO): Non-governmental and other organisations formally registered as not-for-profit institutions. Science councils (SCI): the eight science research councils, plus the Africa Institute of South Africa, as established through their individual Acts of Parliament.
The sampling methods of the various sectors are briefly outlined below: Business Sector: a purposive sampling procedure was employed whereby all known and likely R&D performers were targeted. Government Sector: was surveyed using a census approach. All national and provincial government departments, research institutions and museums performing R&D were included. Higher Education Sector: institutions, namely universities and universities of technology were included through a census survey. Not-for-Profit Organisations (NPO) Sector: a purposive sampling procedure was employed whereby all known and likely R&D performers were targeted. Science Councils Sector: were surveyed using a census approach. Response rate = 100 x [Responses / (Responses + Non-responses – Out-of-scopes)], where non-responses include refusals and out-of-scopes include closed down, non-R&D performer, return to sender, untraceable, etc. Business sector response rate = 100 x [373/(373 + 60 - 48)] = 96.9% Not-for-profit sector response rate = 100 x [46/(46 + 34 - 11)] = 66.7% Government sector response rate = 100 x [70/(70 + 57 - 11)] = 60.3% Science Councils sector response rate = 100 x [13/(13 + 0 - 0)] = 100.0% Higher Education sector (Public) response rate = 100 x [19/(19 + 4 - 0)] = 82.6% Higher Education sector (Private) response rate = 100 x [4/(4 + 5 - 0)] = 44.4% Overall survey response rate = 100 x [525/(525 + 160 - 70)] = 85.4%
Time Dimension
  • Longitudinal: Trend/Repeated cross-section
    Longitudinal: Trend/Repeated cross section, 2001/2 R&D Survey data is the start of a time series by CeSTII. After 2004/05, the survey has been conducted annually. Panel analysis is theoretically possible if data from several survey years is used.
Collection Mode
  • Email survey
  • Face-to-face interview
  • Postal survey
  • Telephone interview
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.

Update Metadata: 2021-01-13 | Issue Number: 194 | Registration Date: 2020-03-10