The increasing dominance of science in the economy: Which nations are successful?

Gazni, Ali; Ghaseminik, Zahra

doi:10.1007/s11192-019-03161-5

Cited by 18 publications

(3 citation statements)

References 44 publications

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“…(Roach and Cohen 2013) found that NPR are a better measure of knowledge originating from public research than patent references. (Gazni and Ghaseminik 2019) showed that the top 1% highly-cited patents in the United States Patent and Trademark Office (USPTO) relied increasingly on science during 1992-2016. They also showed that top patents with inventors from countries such as the United States, the United Kingdom and France seem to rely more on science than applicants from other countries (although differences in technological structures should be taken into account).…”

Section: Literature Review On Non-patent Referencesmentioning

confidence: 99%

Technological Impact of Funded Research: A Case Study of Non-Patent References

Quemener,

Miotti,

Maddi

2023

Preprint

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Research funding is essential to expand knowledge, foster innovation, and address the complex challenges that shape our future. The scientific literature has extensively addressed the relationship between research funding and the academic impact of publications. More recently, several studies have analyzed the technological impact of funded research as measured through citations in patents, known as Non-Patent References (NPRs). But there remains much to know about NPRs and the multiplication of case studies is necessary to characterize them. In this study, we analyze a sample of 7065 publications funded by the French Health Research Foundation (FRM) and the citations of these publications in patents. This study shows the high scientific and technological impacts of FRM funding. Indeed, the publications funded by FRM, which are cited in patents, are 3.5 times more frequently cited by other publications than the global average (for funded publications in the entire database, this ratio is 2.6). Furthermore, our results also indicate that USPTO patents citing these publications exhibit high-quality indicators. Moreover, five of these patents have led to approved drug products by the USA Food and Drug Administration (FDA). This study provides further evidence of the positive influence that research funding can have on both scientific and technological advancements.

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Section: Literature Review On Non-patent Referencesmentioning

confidence: 99%

Technological Impact of Funded Research: A Case Study of Non-Patent References

Quemener,

Miotti,

Maddi

2023

Preprint

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“…There are less such studies than might be expected. Patelli et al (2017) and Gazni and Ghaseminik (2019) use patents as the proxy for innovation, while Frenken, Heimeriks, and Hoekman (2017) use Leiden ranking data on university-industry co-publication. These indicators are at some distance from product markets.…”

Section: On China)mentioning

confidence: 99%

What drives global science? The four competing narratives

Marginson

2021

Studies in Higher Education

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Since 1990 there has been remarkable growth and diversification of worldwide capacity and output in science, and a distinctive global science system has emerged, primarily grounded in research universities, fostered by Internet-mediated communication and publication in English, cross-border authorship and researcher mobility. While global science overlaps with and is affected by national science systems, it is constituted by pan-national knowledge flows and collegial collaboration and has partial autonomy. Four different interpretive frameworks (narratives) have evolved to explain global science: science as an expanding cross-border network; science as an arms race between competing nations; science as a global market of competing 'World-Class Universities'; and science as a centre-periphery hierarchy in which emerging countries are permanently constrained by Euro-American dominance. The paper reviews each narrative in relation to the literature, especially in scientometrics, and empirical tendencies in global science, tracked in secondary data derived from bibliometric collections. While each narrative contains at least a grain of truth, each also conflicts with the others and each is radically insufficient. A better explanation of the drivers of global science combines ( 1) flat open networked relations with (2) the inequalities and closures shaped by global hegemony, arbitrarily modified by (3) national governments and specific resources.

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“…Artificial intelligence, as the most representative technological progress in current society, contributes to economic development in three main ways: First, intelligent technology can replace traditional labor by automating complex tasks. This approach replaces labor with cheaper capital and not only directly reduces labor costs but also significantly increases the productivity of enterprises [9]; Second, AI can assist the workforce. AI techniques such as machine learning can realize the planning, control, and monitoring of design, production, and equipment operation, thus assisting the workforce and improving total factor productivity [10]; Third, intelligent technology can help promote the technological progress of enterprises.…”

Section: Study Hypothesis and Theoretical Frameworkmentioning

confidence: 99%

The Relationship between Artificial Intelligence and China’s Sustainable Economic Growth: Focused on the Mediating Effects of Industrial Structural Change

Fan

Liu

2021

Sustainability

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In recent years, the application of artificial intelligence (AI) has had a significant impact on economic development. This study examined the relationship between the level of AI development and economic growth in 28 Chinese provinces from 2005 to 2018, and we focused on the mediating role of the industrial structure. We found that the unreasonable state of the structure is an important reason behind the slowdown of China’s economic growth. The development of AI not only has a direct effect on economic growth, but can also improve economic slowdown by inhibiting industrial structure upgrading. Taking into account regional heterogeneity, we also conducted sub-regional regressions, and the results show that this mediating effect is particularly significant in the eastern, central, and western areas of China; the regression results also show that the development of AI technologies did not boost the economy before the 2008 financial crisis, but during the economic recovery period, the R&D and application of AI helped China’s economy to rebound. Thus, AI has gradually become an important power engine for high-quality and sustainable growth in China’s economy.

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The increasing dominance of science in the economy: Which nations are successful?

Cited by 18 publications

References 44 publications

Technological Impact of Funded Research: A Case Study of Non-Patent References

Technological Impact of Funded Research: A Case Study of Non-Patent References

What drives global science? The four competing narratives

The Relationship between Artificial Intelligence and China’s Sustainable Economic Growth: Focused on the Mediating Effects of Industrial Structural Change

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