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Observational analysis reveals no correlation between R&D spending and outcomes in federal districts, suggesting a need for improved metrics.
Russian statistics provide a quantitative measure of the results of intellectual activity, but not a qualitative one. This lack prevents a full assessment of the true productivity of researchers in the federal districts. The absence of reliable statistical data on the economic efficiency of research and development (R&D) outcomes necessitates the use of indirect evaluation methods. An analysis of R&D expenditures and performance indicators, considered both statically and dynamically at the level of federal districts and in an international context, revealed several notable patterns: no positive correlation between R&D spending and outcomes; a decline in inventive activity between 2015 and 2022; a shift in R&D focus toward production technologies; and a diminishing role of low R&D-intensive regions in technology exports, despite overall growth in technology trade. These findings are interpreted in only a preliminary manner.
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E.N. Korepanov (2025) studied this question.
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