- •Foreword
- •Table of Contents
- •1.1. A preliminary word to the user of R&D data
- •1.2. Coverage of the Manual and the uses of R&D statistics
- •Table 1.1. OECD methodological manuals
- •1.4. R&D input and output
- •1.5. R&D and related activities
- •1.5.1. Research and experimental development (R&D)
- •1.5.2. Scientific and technological activities (STA)
- •1.5.3. R&D and technological innovation
- •1.5.4. The identification of R&D in software, social sciences and service activities
- •1.5.5. R&D administration and other supporting activities
- •1.6. R&D in all fields of science and technology is covered
- •1.7. Measures of R&D inputs
- •1.7.1. R&D personnel
- •1.7.2. R&D expenditures
- •1.7.3. R&D facilities
- •1.7.4. National R&D efforts
- •1.9. Classification systems for R&D
- •1.9.1. Institutional classifications
- •1.9.2. Functional distribution
- •1.10. R&D surveys, reliability of data and international comparability
- •1.11. Government budget appropriations or outlays for R&D (GBAORD)
- •1.12. Topics of special interest
- •1.13. A final word to the user of R&D data
- •2.1. Research and experimental development (R&D)
- •2.2. Activities to be excluded from R&D
- •2.2.1. Education and training
- •2.2.2. Other related scientific and technological activities
- •2.2.3. Other industrial activities
- •2.2.4. Administration and other supporting activities
- •2.3. The boundaries of R&D
- •2.3.1. Criteria for distinguishing R&D from related activities
- •2.3.2. Problems at the borderline between R&D and education and training
- •Table 2.2. Borderline between R&D and education and training at ISCED level 6
- •2.3.3. Problems at the borderline between R&D and related scientific and technological activities
- •2.3.4. Problems at the borderline between R&D and other industrial activities
- •Table 2.3. Some cases at the borderline between R&D and other industrial activities
- •2.3.5. Problems at the borderline between R&D administration and indirect supporting activities
- •2.4.1. Identifying R&D in software development
- •2.4.2. Identifying R&D in the social sciences and humanities
- •2.4.3. Special problems for identifying R&D in service activities
- •3.1. The approach
- •3.2. The reporting unit and the statistical unit
- •3.2.1. The reporting unit
- •3.2.2. The statistical unit
- •3.3. Sectors
- •3.3.1. Reasons for sectoring
- •3.3.2. Choice of sectors
- •3.3.3. Problems of sectoring
- •3.4. Business enterprise sector
- •3.4.1. Coverage
- •3.4.2. The principal sector sub-classification
- •3.4.3. Other institutional sub-classifications
- •3.5. Government sector
- •3.5.1. Coverage
- •3.5.2. The principal sector sub-classification
- •3.5.3. Other institutional sub-classifications
- •3.6.1. Coverage
- •3.6.2. The principal sector sub-classification
- •Table 3.2. Fields of science and technology
- •3.6.3. Other institutional sub-classifications
- •3.7. Higher education sector
- •3.7.1. Coverage
- •3.7.2. The principal sector sub-classification
- •3.8. Abroad
- •3.8.1. Coverage
- •3.8.2. The principal sector sub-classification
- •3.8.3. Other institutional sub-classifications
- •3.8.4. Geographic area of origin or destination of funds
- •4.1. The approach
- •Table 4.1. Utility of functional distributions
- •4.2. Type of R&D
- •4.2.1. Use of distribution by type of R&D
- •4.2.2. The distribution list
- •4.2.3. Criteria for distinguishing between types of R&D
- •Table 4.2. The three types of research in the social sciences and humanities
- •4.3. Product fields
- •4.3.1. Use of distribution by product fields
- •4.3.2. The distribution list
- •4.3.3. Criteria for distribution
- •4.4. Fields of science and technology
- •4.4.1. Use of distribution by field of science and technology
- •4.4.2. The distribution list
- •4.4.3. The criteria for distribution
- •4.5. Socio-economic objectives
- •4.5.2. Minimum recommended breakdown
- •4.5.3. The distribution list
- •4.5.4. The criteria for distribution
- •5.1. Introduction
- •Table 5.1. R&D and indirect support activities
- •5.2. Coverage and definition of R&D personnel
- •5.2.1. Initial coverage
- •5.2.2. Categories of R&D personnel
- •5.2.3. Classification by occupation
- •5.2.4. Classification by level of formal qualification
- •5.2.5. Treatment of postgraduate students
- •5.3. Measurement and data collection
- •5.3.1. Introduction
- •5.3.2. Headcount data
- •5.3.3. Full-time equivalence (FTE) data
- •5.3.4. Recommended national aggregates and variables
- •5.3.5. Cross-classified data by occupation and qualification
- •Table 5.4. R&D personnel classified by occupation and by formal qualification
- •5.3.6. Regional data
- •6.1. Introduction
- •6.2. Intramural expenditures
- •6.2.1. Definition
- •6.2.2. Current costs
- •6.2.3. Capital expenditures
- •6.3. Sources of funds
- •6.3.1. Methods of measurement
- •6.3.2. Criteria for identifying flows of R&D funds
- •6.3.3. Identifying the sources of flows of R&D funds
- •6.4. Extramural expenditures
- •6.6. Regional distribution
- •6.7. National totals
- •6.7.1. Gross domestic expenditure on R&D (GERD)
- •Table 6.1. Gross domestic expenditure on R&D (GERD)
- •6.7.2. Gross national expenditure on R&D (GNERD)
- •Table 6.2. Gross national expenditure on R&D (GNERD)
- •7.1. Introduction
- •7.2. Scope of R&D surveys
- •7.3. Identifying target population and survey respondents
- •7.3.1. Business enterprise sector
- •7.3.2. Government sector
- •7.3.3. Private non-profit sector
- •7.3.4. Higher education sector
- •7.3.5. Hospitals
- •7.4. Working with respondents
- •7.4.2. Operational criteria
- •7.5. Estimation procedures
- •7.5.1. Unit and item non-response
- •7.5.2. Estimation procedures in the higher education sector
- •7.6. Reporting to the OECD or to other international organisations
- •8.1. Introduction
- •8.2. Relationship with other international standards
- •8.3. Sources of budgetary data for GBAORD
- •8.4. Coverage of R&D
- •8.4.1. Basic definition
- •8.4.2. Fields of science and technology
- •8.4.3. Identifying R&D
- •8.5. Definition of government
- •8.6. Coverage of government budget appropriations and outlays
- •8.6.1. Intramural and extramural expenditures
- •8.6.2. Funding and performer-based reporting
- •8.6.3. Budgetary funds
- •8.6.4. Direct and indirect funding
- •8.6.5. Types of expenditure
- •8.6.6. GBAORD going to R&D abroad
- •8.7.1. Criteria for distribution
- •8.7.2. Distribution of budgetary items
- •8.7.3. The distribution
- •8.7.4. Socio-economic objectives – SEO
- •Table 8.1. Standard key between NABS 1992 and previous OECD GBAORD objectives
- •Table 8.2. Standard key between NABS 1992 and Nordforsk GBAORD objectives
- •8.7.5. Principal areas of difficulty
- •8.8. Main differences between GBAORD and GERD data
- •8.8.1. General differences
- •8.8.2. GBAORD and government-financed GERD
- •8.8.3. GBAORD and GERD by socio-economic objectives
- •Table 1. Summary of sectors in the SNA and in the Frascati Manual
- •Table 2. Sectors and producers in the SNA
- •Table 5. Gross output and total intramural R&D
- •Table 1. Identifying health-related R&D in GBAORD
- •Table 2. Health-related R&D from performer-reported data: business enterprise sector
- •Table 3. Identifying health-related R&D by field of science and socio-economic objective
- •Table 2. Current classification of French, UK and US terminology in the Frascati Manual
- •Acronyms
- •Bibliography
- •Index by Paragraph Number
3 INSTITUTIONAL CLASSIFICATION
3.3. Sectors
3.3.1. Reasons for sectoring
156. To facilitate the collection of data, the description of institutional flows of R&D funds and the analysis and interpretation of R&D data, the statistical unit(s) classified should be grouped by sectors of the economy, following as closely as possible standard classifications of economic activities. This offers a number of important practical advantages:
–Different questionnaires and survey methods can be used for each sector to take into account the different “mixes” of activities, the different accounting systems or the different response possibilities of the organisations.
–When measuring expenditure, the sectoral approach offers the most reliable way of building up national aggregates.
–Sectoring offers a framework for analysing the flows of funds between R&D- funding and R&D-performing entities.
–Since each sector has its own characteristics and its own kinds of R&D, this classification throws some light on differences in the level and direction of R&D.
–Insofar as the sectors are defined on the basis of a standard classification, it may be possible to relate R&D to other statistical series. This may facilitate an understanding of the role of R&D in economic development and the formulation of science policy.
–The institutions of the various sectors are sensitive to different government policy initiatives.
3.3.2. Choice of sectors
157.The System of National Accounts (SNA) (UN, 1968) stated that “in any national accounting system transactors are necessarily grouped... but they need not be grouped in the same way in all parts of the system and, indeed, it is not desirable that they should be”. The SNA distinguishes between the following sectors: non-financial corporations; financial corporations; general government; non-profit institutions serving households; and households.
158.The following definitions of sectors for R&D surveys are largely based on the SNA 93 (CEC et al., 1994), with the difference that higher education has been established as a separate sector and households have, by convention, been merged with the private non-profit (PNP) sector. Here, as in the SNA, non-profit institutions (NPIs) have been distributed among sectors. For a more detailed discussion of the relationships between SNA sectors and the sectors proposed below for R&D surveys, see Annex 3.
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