Regional Scientific Production and Specialization in Europe: The Role of HERD

Acosta, Manuel; Coronado, Daniel; Ferrándiz, Esther; León, M. Dolores

doi:10.1080/09654313.2012.752439

Cited by 21 publications

(7 citation statements)

References 31 publications

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“…This body of research relies on a so-called knowledge production function framework where number of publications are considered as the output variables and research investment, amongst other variables, as input in the knowledge production system. Acosta, Coronado, Ferrándiz, and León (2014) look at the effect of public spending on regional publication output using Eurostat data on R&D spending in the Higher Education sector. They find a strong effect of public investment on regional publication output.…”

Section: Regions and Citiesmentioning

confidence: 99%

Spatial Scientometrics and Scholarly Impact: A Review of Recent Studies, Tools, and Methods

Frenken

Hoekman

2014

Measuring Scholarly Impact

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Previously, we proposed a research program to analyze spatial aspects of the science system which we called "spatial scientometrics" (Frenken, Hardeman, & Hoekman, 2009). The aim of this chapter is to systematically review recent (post-2008) contributions to spatial scientometrics on the basis of a standardized literature search. We focus our review on contributions addressing spatial aspects of scholarly impact, particularly, the spatial distribution of publication and citation impact, and the effect of spatial biases in collaboration and mobility on citation impact. We also discuss recent dedicated tools and methods for analysis and visualization of spatial scientometric data. We end with reflections about future research avenues.

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Section: Regions and Citiesmentioning

confidence: 99%

Spatial Scientometrics and Scholarly Impact: A Review of Recent Studies, Tools, and Methods

Frenken

Hoekman

2014

Measuring Scholarly Impact

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“…Our period of analysis has been 2006-2010. This dataset was built following a similar procedure to Acosta et al (2011a) and Acosta et al (2014). Since our focus is at the university level, we had to harmonize the name variations of universities, mainly stemming from the use of the native versus the English name or the use of different acronyms.…”

Section: Datamentioning

confidence: 99%

Proximity dimensions and scientific collaboration among academic institutions in Europe: The closer, the better?

2016

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ABSTRACT:The main objective of this paper is to examine the effect of various proximity dimensions (geographical, cognitive, institutional, organizational, social and economic) on academic scientific collaborations (SC). The data to capture SC consists of a set of co-authored articles published between 2006 and 2010 by universities located in EU-15, indexed by the Science Citation Index (SCI Expanded) of the ISI Web of Science database. We link this data to institution-level information provided by the EUMIDA dataset. Our final sample consists of 240,495 co-authored articles from 690 European universities that featured in both datasets. Additionally, we also retrieved data on regional R&D funding from Eurostat. Based on the gravital equation, we estimate several econometrics models using aggregated data from all disciplines as well as separated data for Chemistry & Chemical Engineering, Life Sciences and Physics & Astronomy. Our results provide evidence on the substantial role of geographical, cognitive, institutional, social and economic distance in shaping scientific collaboration, while the effect of organizational proximity seems to be weaker. Some differences on the relevance of these factors arise at discipline level.

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“…Our period of analysis is 2001-2010. This dataset was built following a similar procedure to Acosta et al [10,30]. Since our focus is at the university level, we had to harmonize the name variations of universities, mainly stemming from the use of the native versus the English name or the use of different acronyms.…”

Section: Methodology and Datamentioning

confidence: 99%

Patterns of Academic Scientific Collaboration at a Distance: Evidence from Southern European Countries

Fernández¹,

Ferrándiz²,

León³

2018

Scientometrics

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The main objective of this chapter is to examine the trends of academic scientific collaboration (SC) at a distance among public universities located in peripheral countries: Spain, Italy, Greece, and Portugal. The data to capture scientific collaboration consists of a set of co-authored articles published between 2001 and 2010 by universities located in the mentioned Southern countries, indexed by the Science Citation Index expanded (SCI Expanded) of the Information Sciences Institute (ISI) Web of Science (WoS) database. We link this data to institution-level information provided by the EUMIDA dataset. In addition, we retrieved regional data on economic variables from Eurostat. The methodology relies on a descriptive analysis of the evolution of co-publications at different notions of proximity. Our results show a trend toward collaboration over longer distances, although we find heterogeneity by countries and disciplines. Building on our results, we provide some policy implications.

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Regional Scientific Production and Specialization in Europe: The Role of HERD

Cited by 21 publications

References 31 publications

Spatial Scientometrics and Scholarly Impact: A Review of Recent Studies, Tools, and Methods

Spatial Scientometrics and Scholarly Impact: A Review of Recent Studies, Tools, and Methods

Proximity dimensions and scientific collaboration among academic institutions in Europe: The closer, the better?

Patterns of Academic Scientific Collaboration at a Distance: Evidence from Southern European Countries

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