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Scientific Productivity Versus Efficiency of R&D Financing: Bibliometric Analysis of African Countries


Affiliations
1 Department of Statistics, Forecasting and Mathematics, Babes-Bolyai University, Teodor Mihali Street, No. 58-60, Room 231, Cluj Napoca, 400591, Romania
2 Department of Finance, Babes-Bolyai University, Teodor Mihali Street, No. 58-60, Room 231, Cluj Napoca, 400591, Romania
 

Commonly, bibliometric analysis at the national level measures the scientific performance through the complete production of articles and citations and through productivity related to the number of inhabitants. In our study we also report on efficiency as the scientific output obtained related to the available financing. The results indicate that only two African countries (South Africa and Tunisia) have covered a learning process and become mature entities in the R&D process, the productivity being doubled by efficiency.

Keywords

Bibliometric Analysis, Multiple Regression, R&D Financing, Scientific Productivity.
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  • Scientific Productivity Versus Efficiency of R&D Financing: Bibliometric Analysis of African Countries

Abstract Views: 373  |  PDF Views: 152

Authors

Cristian Mihai Dragos
Department of Statistics, Forecasting and Mathematics, Babes-Bolyai University, Teodor Mihali Street, No. 58-60, Room 231, Cluj Napoca, 400591, Romania
Simona Laura Dragos
Department of Finance, Babes-Bolyai University, Teodor Mihali Street, No. 58-60, Room 231, Cluj Napoca, 400591, Romania

Abstract


Commonly, bibliometric analysis at the national level measures the scientific performance through the complete production of articles and citations and through productivity related to the number of inhabitants. In our study we also report on efficiency as the scientific output obtained related to the available financing. The results indicate that only two African countries (South Africa and Tunisia) have covered a learning process and become mature entities in the R&D process, the productivity being doubled by efficiency.

Keywords


Bibliometric Analysis, Multiple Regression, R&D Financing, Scientific Productivity.



DOI: https://doi.org/10.18520/cs%2Fv106%2Fi7%2F942-945