Www.uis.unesco.org Data availability in participating countries AMAZBYMDRUUA FTE NO >HC GENDER OK Partial OK QUALIFICATIONS OK FIELDS OF SCIENCE OK NO.

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Presentation transcript:

Data availability in participating countries AMAZBYMDRUUA FTE NO >HC GENDER OK Partial OK QUALIFICATIONS OK FIELDS OF SCIENCE OK NO GERD OK Partial SECTOR COVERAGE GOV +HE GOV +HE +BE GOV +HE +BE GOV (Partial)

Sector specificities Armenia: Other sources of funds are in-house funds, customer funds, other funds. Moldova: covers only Academy of Science of Moldova.

Sector specificities Belarus: Private non-profit sector includes private non-profit organisations as professional unions, unions, associations, social groups, charity organizations, funds. Excludes organizations financed by government at more than 50%.

Kazakhstan: sources of funds own funds budget funds contractors (clients) funds out-of-budget funds funds from abroad

Sector specificities: Ukraine Source of funds difficult to trace. Budget instead of expenditure. Expenses for performance of R&D are distributed in Ukraine on such sources of financing: own means, means of the state budget, local budgets, means of the budget for the maintenance of the higher education institutions, and also means on sectors (according to yours иструкции).

Key issues to address FULL-TIME EQUIVALENTS: does it make sense? How can we construct it in the frameworks of CIS countries? Can we propose some guidelines? Sector breakdown: how to map Frascati Manual sectors to the sectors in the CIS statistical systems. How to deal with Business Enterprise sector. Backward comparability: how to deal with old data?

FTEs Determining the researcher FTE is especially difficult in the former centrally planned economies despite the fact that these countries have well-developed national statistical systems that collect data from all registered research institutions on a regular basis. Generally, double-counting occurs because statistical agencies record the primary place of work of a researcher as the equivalent of a full-time job, counting this as one unit while other occupations are then added on. In essence, information on employment is gathered institution by institution without reference to particular researchers. This leads to a situation where a researcher could be allocated a headcount more than once despite the fact that a primary place of work is usually fixed according to the legal systems of these states. This problem could be solved by the introduction of a procedure where persons with extra jobs are counted in one (primary) place only. In the future, the shares of time devoted to different jobs could be distributed among those posts accordingly. Information on a secondary occupation could be reflected in special sections of the statistical forms of the primary organization. Persons who are registered at a primary workplace but not on a full-time basis must be counted according to the corresponding diminishing proportion of time spent at this primary workplace. It is essential that the survey metadata provide a note to clarify the procedure that is followed.

Mapping sectors: proposed matrix (based on Ukraine) Sources of funds Sector of performance GovHEBEPNPAbroadTOTAL (3.2) GovGovernment institutions own means + (State budget + Local budget) used by gov. institutions to perform R&D Funds for research executed by governme nt institution s and paid by Business enterprise s Funds for research executed by governme nt institutions and paid by PNP organizati ons Funds for research executed by governme nt institution s and paid by organizati ons abroad All funds used by Governm ent institution s to perform R&D, no matter the source This column goes to table 3.2 GERD by sector of performance

Proposed matrix Sources of funds Sector of performance GovHEBEPNPAbroadTOTAL (3.2) HEbudget for the maintenance of the higher education institutions + (State budget + Local budget) used by higher ed. institutions to perform R&D Higher Educatio n institutio ns own means used to perform R&D Funds for research executed by higher education institution s and paid by Business enterprise s Funds for research executed by higher education institutions and paid by PNP organizati ons Funds for research executed by higher education institution s and paid by organizati ons abroad All funds used by Higher Education institution s to perform R&D, no matter the source

Proposed matrix Sources of funds Sector of performance GovHEBEPNPAbroadTOTAL (3.2) BE(State budget + Local budget) used by business enterprises to perform R&D Business enterprise s own means + funds for research executed by business enterprise s and paid by other business enterprise s Funds for research executed business enterprise s and paid by PNP organizati ons Funds for research executed business enterprise s and paid by organizati ons abroad All funds used by business enterprise s to perform R&D, no matter the source

Proposed matrix Sources of funds Sector of performance GovHEBEPNPAbroadTOTAL (3.2) PNP(State budget + Local budget) used by PNP orgs. to perform R&D Funds for research executed by PNP organizati ons and paid by Business enterprise s PNP organizati ons own means+ funds for research executed by PNP orgs. and paid by other PNP orgs. Funds for research executed by PNP organizati ons and paid by organizati ons abroad All funds used by PNP organizati ons to perform R&D, no matter the source

Proposed matrix Sources of funds Sector of performance GovHEBEPNPAbroadTOTAL (3.2) TOTAL (3.3) Government institutions own means + Total budget for the maintenance of the higher education institutions + Total State budget + Total Local budget Higher Educatio n institutio ns own means All funds provided by business enterprise s, including research conducted by business and paid by their own means. All funds provided by PNP organizati ons, including research conducted by PNP organizati ons and paid by their own means. All funds provided by organizati ons abroad TOTAL This column goes to table 3.2 GERD by sector of performance

Other issues for discussion How to deal with Business Enterprise sector. Backward comparability: how to deal with old data?