336
Views
1
CrossRef citations to date
0
Altmetric
Research Article

Agglomeration, diversity, and tradition: an analysis of fractionalized web of science publications in EU regions

&
Article: 2220573 | Received 27 Mar 2023, Accepted 29 May 2023, Published online: 04 Jun 2023

References

  • Abbott, M., & Doucouliagos, H. (2004). Research output of Australian universities. Education Economics, 12(3), 251–15. https://doi.org/10.1080/0964529042000258608
  • Aghion, P., Dewatripont, M., Hoxby, C., Mas-Colell, A., & Sapir, A. (2010). The governance and performance of universities: Evidence from Europe and the US. Economic Policy, 25(61), 7–59. https://doi.org/10.1111/j.1468-0327.2009.00238.x
  • Akaliyski, P., Welzel, C., & Hien, J. (2020, October 24). A community of shared values? Dimensions and dynamics of cultural integration in the European Union. SocArXiv. https://doi.org/10.31235/osf.io/u3hsk
  • Andersson, D. E., & Andersson, Å. E. (2019). Phase transitions as a cause of economic development. Environment & Planning A: Economy & Space, 51(3), 670–686. https://doi.org/10.1177/0308518X18803112
  • Andersson, D. E., & Andersson, Å. E. (2020). The impossibility of the triple helix. Prometheus, 36(3), 235–252. https://doi.org/10.13169/prometheus.36.3.0235
  • Andersson, D. E., Andersson, Å. E., Hårsman, B., & Yang, X. (2020). The geography of science in 12 European countries: A NUTS2-level analysis. Scientometrics, 124(2), 1099–1125. https://doi.org/10.1007/s11192-020-03510-9
  • Andersson, M., & Gråsjö, U. (2009). Spatial dependence and the representation of space in empirical models. The Annals of Regional Science, 43(1), 159–180. https://doi.org/10.1007/s00168-008-0211-5
  • Annoni, P., & Dijkstra, L. (2013). EU regional competitiveness index RCI 2013. Publications Office of the European Union.
  • Anselin, L., Varga, A., & Acs, Z. (1997). Local geographic spillovers between university research and high technology innovations. Journal of Urban Economics, 42, 422–448. https://doi.org/10.1006/juec.1997.2032
  • Bauwens, L., Mion, G., & Thisse, J.-F. (2011). The resistible decline of European science. Recherches économiques de Louvain, 77(4), 5–31. https://doi.org/10.3917/rel.774.0005
  • Beall, J. (2012). Predatory publishers are corrupting open access. Nature, 489(7415), 179. https://doi.org/10.1038/489179a
  • Bell, D. (1973). The coming of post-industrial society: A venture in social forecasting. Basic Books.
  • Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152. https://doi.org/10.2307/2393553
  • Eurostat. (2021). Regional Statistics by NUTS Classification. https://ec.europa.eu/eurostat/web/regions/data/database
  • Florida, R. (2002). The rise of the creative class. Basic Books.
  • Florida, R. (2008). Who’s your city?. Basic Books.
  • Griliches, Z. (1979). Issues in assessing the contribution of research and development to productivity growth. Bell Journal of Economics, 10(1), 92–116. https://doi.org/10.2307/3003321
  • Grossetti, M., Eckert, D., Gingras, Y., Jegou, L., Lariviere, V., & Milard, B. (2014). Cities and the geographical deconcentration of scientific activity: A multilevel analysis of publications. Urban Studies, 51(10), 2219–2234. https://doi.org/10.1177/0042098013506047
  • Harzing, A. W., & Giroud, A. L. A. (2014). The competitive advantage of nations: An application to academia. Journal of Informetrics, 8(1), 29–42. https://doi.org/10.1016/j.joi.2013.10.007
  • Heimeriks, G., Li, D., Lamers, W., Meijer, I., & Yegros, A. (2019). Scientific knowledge production in European regions: Patterns of growth, diversity and complexity. European Planning Studies, 27(11), 2123–2143. https://doi.org/10.1080/09654313.2019.1645814
  • Hollingsworth, R. (2012). Factors associated with scientific creativity. Euresis Journal, 2(winter), 77–112. https://euresis.org/wp-content/uploads/2019/06/EuresisJournal-volume2.pdf#page=77
  • Inglehart, R. (1997). Modernization and postmodernization. Princeton University Press. https://doi.org/10.1515/9780691214429
  • Johansson, B. (2005). Parsing the menagerie of agglomeration and network externalities. In C. Karlsson, B. Johansson, & R. Stough (Eds.), Industrial clusters and inter-firm networks (pp. 107–147). Edward Elgar.
  • Johansson, B., & Klaesson, J. (2011). Creative milieus in the Stockholm region. In D. E. Andersson, Å. E. Andersson, & C. Mellander (Eds.), Handbook of creative cities (pp. 456–481). Edward Elgar.
  • Karlsson, C., Gråsjö, U., & Andersson, M. (2009). The role of higher education and university R&D for industrial R&D location. In A. Varga (Ed.), Universities, knowledge transfer and regional development (pp. 85–108). Edward Elgar.
  • Kelly, M., & Hageman, A. (1999). Marshallian externalities in innovation. Journal of Economic Growth, 4, 39–54. https://doi.org/10.1023/A:1009874508579
  • Liebeskind, J. P., Oliver, A. L., Zucker, L., & Brewer, M. (1996). Social learning, networks, and flexibility: Sourcing scientific knowledge in new biotechnology firms. Organization Science, 7(4), 428–443. https://doi.org/10.1287/orsc.7.4.428
  • Luukkonen, T., Persson, O., & Sivertsen, G. (1992). Understanding patterns of international scientific collaboration. Science, Technology, & Human Values, 17(1), 101–126. https://doi.org/10.1177/016224399201700106
  • Mariani, M. (2002). Next to production or to technological clusters? The economics and management of R&D location. Journal of Management & Governance, 6(May), 131–152. https://doi.org/10.1023/A:1015702522373
  • Matthiessen, C. W., & Schwarz, A. W. (1999). Scientific centres in Europe: An analysis of research strength and patterns of specialisation based on bibliometric indicators. Urban Studies, 36(3), 453–477. https://doi.org/10.1080/0042098993475
  • Matthiessen, C. W., Schwarz, A. W., & Find, S. (2002). The top-level global research system, 1997-99: Centres, networks and nodality. An analysis based on bibliometric indicators. Urban Studies, 39(5–6), 903–927. https://doi.org/10.1080/00420980220128372
  • Matthiessen, C. W., Schwarz, A. W., & Find, S. (2010). World cities of scientific knowledge: Systems, networks and potential dynamics. An analysis based on bibliometric indicators. Urban Studies, 47(9), 1879–1987. https://doi.org/10.1177/0042098010372683
  • Nomaler, Ö., Frenken, K., & Heimeriks, G. (2014). On scaling of scientific knowledge production in U.S. metropolitan areas. PLos One, 9(10), e10805. https://doi.org/10.1371/journal.pone.0110805
  • North, D. C. (1990). Institutions, institutional change and economic performance. Cambridge University Press. https://doi.org/10.1017/CBO9780511808678
  • OECD. (2012). Main Science and Technology Indicators. https://stats.oecd.org/Index.aspx?DataSetCode=MSTI_PUB
  • OECD. (2021). GDP per hour worked 2007 Retrieved March 1, 2021, from https://stats.oecd.org/Index.aspx?DataSetCode=PDB_LV
  • Pumain, D., Paulus, F., Vacchiani-Marcuzzo, C., & Lobo, J. (2006). An evolutionary theory for interpreting urban scaling laws. Cybergeo, (343). https://doi.org/10.4000/cybergeo.2519
  • Von Hippel, E. (1994). “Sticky information” and the locus of problem solving: Implications for innovation. Management Science, 40(4), 429–439. https://doi.org/10.1287/mnsc.40.4.429