4.6 Article

Determining factors of participation and success rates in research funding competitions: Case study

Journal

PLOS ONE
Volume 17, Issue 7, Pages -

Publisher

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0272292

Keywords

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Funding

  1. Romanian Ministry of Research, Innovation and Digitization, within Program 1 - Development of the national RD system, Subprogram 1.2 - Institutional Performance - RDI excellence funding projects [11PFE/30.12.2021]

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Research and innovation are crucial for smart and sustainable economic growth, contributing to the development of new products, processes, and services. However, these activities require financial resources to accelerate the production and dissemination of the best ideas and practices. This study aims to identify the factors influencing researchers' participation and success rates in funding competitions, finding that scientific rank and gender are important for raising participation and success rates across all fields.
Research and innovation play a key role in generating smart and sustainable economic growth. By producing new knowledge, the research contributes to the development of new and innovative products, processes, and services, which in turn lead to increased productivity, industrial competitiveness, and, ultimately, the prosperity of the community as a whole. However, all research, development and innovation activities depend on the financial resources made available, as specific financing accelerates the production and dissemination of the best ideas and practices, as well as their role in meeting the challenges our society deals with nowadays. Our study aims to identify the determining factors for the researcher's participation and success rates in research funding competitions. The goal of the research is to understand how variables such as age, gender, main field, affiliation, and scientific rank can affect the access to funding opportunities available for research and innovation. The study relies on a questionnaire-based survey conducted with 243 early-career and senior researchers from many state universities across Romania. For an in-depth analysis of the factors that influence the success rate in research competitions, in the present approach, we used both graphical and econometric methods. A binary logistic regression modelling was performed in order to explain the relationships between variables. Among other considerations, our findings revealed that in all main research fields, scientific rank and gender are important features for raising the participation and success rate in research funding competitions.

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