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on Sociology of Economics |
| By: | CONFRARIA Hugo (European Commission - JRC); GRASSANO Nicola; MONCADA PATERNO' CASTELLO Pietro (European Commission - JRC); NINDL Elisabeth (European Commission - JRC) |
| Abstract: | Understanding the flow of knowledge between scientific research and policymaking is increasingly important. This study examines the influence of the EU Industrial R&D Investment Scoreboard, which has been active at the science-policy interface since 2004. We analyse citation trends in scientific publications and policy documents to assess the Scoreboard’s usage, impact, and reach. Our findings indicate that the Scoreboard is cited more frequently in policy documents, though academic interest is growing. Policy documents cite the Scoreboard more quickly, reflecting its immediate relevance for policy actors, while scientific publications take longer to cite it and utilise its data. Papers citing the Scoreboard tend to have a higher citation impact than average, underscoring its significance in a broad set of research fields. In our citation content analysis, we find that "insight" citations are more common than "data" citations. However, papers combining patent data and Scoreboard tend to receive more citations, highlighting the value of integrating R&D data with other relevant variables to better understand the innovation process. Additionally, we show that the Scoreboard has influenced EU policy discourse to address the need for structural changes towards high R&D intensity sectors, and showing EU’s strengths in green innovation. |
| Date: | 2024–10 |
| URL: | https://d.repec.org/n?u=RePEc:ipt:wpaper:202403 |
| By: | Lorenz Gschwent; Bj\"orn Hammarfelt; Martin Karlsson; Mathias Kifmann |
| Abstract: | This paper explores the evolving role of health economics within economic research and publishing over the past 30 years. Historically largely a niche field, health economics has become increasingly prominent, with the share of health economics papers in top journals growing significantly. We aim to identify the factors behind this rise, examining how health economics contributes to the broader economic knowledge base and the roles distinct subfields play. Using a combination of bibliometric methods and natural language processing, we classify abstracts to define health economics. Our findings suggest that the mainstreaming of health economics is driven by innovative, high-quality research, with notable cyclicality in quality ratings that highlights the emergence and impact of distinct subfields within the discipline. |
| Date: | 2024–10 |
| URL: | https://d.repec.org/n?u=RePEc:arx:papers:2410.06313 |
| By: | Jacques Mairesse; Michele Pezzoni; Frederique Sachwald |
| Abstract: | The aim of this paper is twofold. First, it investigates how the characteristics of a research team relate to the probability of generating a novel article. Second, once a novel article has been generated, it investigates the moderating effects of the team's characteristics on the impact of the article. We consider 42, 493 teams of researchers publishing a corresponding number of articles in 273 reputed journals in physics from 2005 to 2009. We find that team experience and team specialization are negatively associated with the probability of generating a novel article. On the contrary, having already written novel articles in the past is positively associated with the probability of generating a novel article. When analyzing the impact of novel articles, we find that a novel article published by an experienced team receives fewer citations than a novel article published by a team with less experience and is published in a lower impact factor journal. We also find that a novel article published by a large established team of researchers receives more citations than a novel article published by a small newly formed team. The team size is also positively related to the impact factor of the journal in which the novel article is published. |
| JEL: | I23 O31 |
| Date: | 2024–10 |
| URL: | https://d.repec.org/n?u=RePEc:nbr:nberwo:33064 |
| By: | Kwiek, Marek; Szymula, Łukasz |
| Abstract: | In this research, we quantify an inflow of women into science in the past three decades. Structured Big Data allow us to estimate the contribution of women scientists to the growth of science by disciplines (N = STEMM 14 disciplines) and over time (1990-2023). A monolithic segment of STEMM science emerges from this research as divided between the disciplines in which the growth was powerfully driven by women – and the disciplines in which the role of women was marginal. There are four disciplines in which 50% of currently publishing scientists are women; and five disciplines in which more than 50% of currently young scientists are women. But there is also a cluster of four highly mathematized disciplines (MATH, COMP, PHYS, and ENG) in which the growth of science is only marginally driven by women. Digital traces left by scientists in their publications indexed in global datasets open two new dimensions in large-scale academic profession studies: time and gender. The growth of science in Europe was accompanied by growth in the number of women scientists, but with powerful cross-disciplinary and cross-generational differentiations. We examined the share of women scientists coming from ten different age cohorts for 32 European and four comparator countries (the USA, Canada, Australia, and Japan). Our study sample was N = 1, 740, 985 scientists (including 39.40% women scientists). Three critical methodological challenges of using structured Big Data of the bibliometric type were discussed: gender determination, academic age determination, and discipline determination. |
| Date: | 2024–10–18 |
| URL: | https://d.repec.org/n?u=RePEc:osf:socarx:w34pr |