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Measuring R

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Title: Measuring R


1
Measuring RD in developing countries Annex to
Frascati Manual
SEMINAR WORKSHOP ON SCIENCE, TECHNOLOGY AND
INNOVATION INDICATORSGaborone, Botswana22-25
Sept 2008
2
Outline
  • The UIS approach
  • RD statistics in developing countries
  • Characteristics of RD in developing countries
  • Measurement issues
  • Present status and way forward

3
The UIS approach
  • Advisory Meeting to the UIS ST Statistics
    Programme held in Montreal, Canada, December 2007
  • Papers commissioned by UIS to Jacques Gaillard
    (IRD, Paris), Michael Kahn et. al.(HSRC, South
    Africa), and Gustavo Arber et. al. (RICYT,
    Argentina)
  • Experience acquired through the UIS work, in
    particular through the direct contact with ST
    statisticians in numerous workshops and other
    meetings around the developing world.
  • Proposal for an annex to the Frascati Manual on
    measuring RD in developing countries was
    presented at the OECD 2008 NESTI meeting.

4
RD statistics in developing countries are still
rare in some countries/regions
Source UNESCO Institute for Statistics, 2008
5
RD statistics in developing countries
  • Meeting targets, evidence-based ST policy, but
  • lack of interest at the level of policy makers
    (low policy-relevance?),
  • lack of resources devoted to statistics in ST,
  • lack of technical knowledge for the production of
    cross-nationally comparable RD statistics,
  • difficulties in applying FM concepts and
    methods.
  • weak statistical institutions
  • ST indicators need to be adapted to particular
    policy needs, and need to provide answers to
    actual policy questions.

6
Selected characteristics of RD in developing
countries
  • Nature of RD activities
  • Patterns in research funding and budgeting
  • Professional Crisis
  • Concentration
  • Heterogeneity
  • Brain mobility and internationalization
  • More than RD indicators needed

7
Characteristics of RD in developing countries
funding
  • Traditionally dominated by government spend (or
    higher education) BUT becoming much more
    diversified
  • Foreign investment much larger of RD funding
  • Significance of the not-for- profit sector
  • Funding may pass direct to individuals rather
    than institutions bypassing traditional data
    collection

8
Characteristics of RD in developing countries -
personnel
  • Researchers with research but no funding
  • Researchers with funding but no research
  • Much less common than lack of funding (?), but
    includes other barriers to research availability
    of tools, problems of access, conflict
    situations etc
  • taxi professors
  • Two (or more) jobs resulting in less than
    expected, or very variable, time spent on
    research
  • enseignant-chercheur (teacher-researcher)
  • A contract giving a certain employment status but
    not necessarily linked to a certain level of
    active research

9
Characteristics of RD in developing countries
special types of RD
  • Traditional knowledge
  • traditional knowledge as an object of scientific
    study
  • applying scientific methods within areas of
    traditional knowledge ie biodiversity
  • using science to develop the products of
    traditional knowledge
  • Community development
  • If projects are concerned with development and
    testing
  • Clinical trials
  • Of growing importance in RD
  • Led by foreign institutions
  • Reverse engineering
  • Deriving principles from an existing product in
    the context of an RD project

10
Other structural issues
  • Co-ordination of national science
  • Concentration national RD can be dominated by
    one or two BIG projects, impacting on both
    finance and personnel
  • Informal economy may play a large part in RD
    activities, but is usually hidden from measurement

11
Measurement strategy
  • Acknowledge differences and problems.
  • Maintain Frascati standard to ensure, and through
    guidance increase, comparability
  • Allow statistics to better identify key
    priorities
  • Sectors for development
  • Improved conditions for researchers
  • Clearly identify barriers gt so they can be
    removed
  • Identify successes gt make them easier to
  • Maintain and develop
  • Replicate in other areas/countries

12
Measurement issues
  • FM issues affecting developing countries
  • applicability of concepts and definitions
  • structure of RD systems
  • Sectorial issues
  • Business enterprise sector
  • Higher Education sector
  • Private-non-profit sector
  • Abroad and international sector
  • use of secondary sources (beyond surveys)

13
Measurement issues
  • Developing country issues beyond FM scope
  • Difficulties in establishing surveys
  • Data sources Need to establish proper registers
    and directories to provide an overview of the
    system and an initial framework for RD surveys
  • Institutionalization
  • Interaction with stakeholders - users and
    producers - ownership
  • Develop new internationalization indicators
  • Develop STA indicators
  • Need for studies to complement, interpret and use
    indicators

14
Frascati manual proposals
  • Introduce/define more precisely categories of
    funding sources and performing sectors that
    highlight characteristics of developing countries
    eg foreign investment
  • Capture the role of the researcher to better
    identify successes and problems

15
Present status and way forward
  • "Annex to the FM on measuring RD in developing
    countries". To provide guidance and
    clarifications to help developing countries to
    implement RD surveys and FM concepts. A task
    force (lead by UIS) was established by the NEST
    to proceed with this.
  • UIS is in the process of preparing the 1st draft
    of the Annex. More inputs needed
  • "UIS guide to ST statistics". UIS to develop new
    concepts and guidelines to address challenges
    specific to developing countries, exceeding the
    scope of FM ST statistics beyond RD.
  • Some of the issues might also present measurement
    challenges for a future revision of the Frascati
    Manual.
  • UIS to further consult Member States to expand
    and refine the issues.

16
  • Statistical capacity building to help countries
    with
  • Co-ordination
  • Technical skills
  • Advocacy
  • Making Africa an innovation leader in the 21st
    century

17
Thank you!
  • http//www.uis.unesco.org
  • UNESCO Institute for Statistics C.P. 6128
    Succursale Centre-ville, Montreal, Quebec,
    H3C 3J7, Canada.
  • TP (1 514) 343-6880 Fax (1 514) 343-6872
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