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The strength of strong ties: Co-authorship and productivity among Italian economists

Author

Listed:
  • Giulio Cainelli

    () (Università di Padova)

  • Mario Maggioni

    () (Università Cattolica del Sacro Cuore)

  • Erika Uberti

    () (Università Cattolica del Sacro Cuore)

  • Annunziata De Felice

    () (Università degli Studi di Bari)

Abstract

Increased specialization and extensive collaboration are common behaviours in the scientific community, as well as the evaluation of scientific research based on bibliometric indicators. This paper aims to analyse the effect of collaboration (co-authorship) on the scientific output of Italian economists. We use Social Network Analysis to investigate the structure of co-authorship, and econometric methodologies to explain the productivity of individual Italian economists, in terms of "attributional" variables (such as age, gender, academic position, tenure, scientific sub-discipline, geographical location, etc.), "relational" variables (such as propensity to cooperate and the stability of cooperation patterns) and "positional" variables (such as betweenness and closeness centrality indexes and clustering coefficients).

Suggested Citation

  • Giulio Cainelli & Mario Maggioni & Erika Uberti & Annunziata De Felice, 2010. "The strength of strong ties: Co-authorship and productivity among Italian economists," "Marco Fanno" Working Papers 0125, Dipartimento di Scienze Economiche "Marco Fanno".
  • Handle: RePEc:pad:wpaper:0125
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    File URL: http://economia.unipd.it/sites/decon.unipd.it/files/20100125.pdf
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    References listed on IDEAS

    as
    1. van der Leij Marco & Goyal Sanjeev, 2011. "Strong Ties in a Small World," Review of Network Economics, De Gruyter, vol. 10(2), pages 1-22, June.
    2. Juan Dolado & Antonio García-Romero & Gema Zamarro, 2003. "Publishing performance in economics: Spanish rankings (1990-1999)," Spanish Economic Review, Springer;Spanish Economic Association, vol. 5(4), pages 317-317, November.
    3. Pedro Cosme Costa Vieira, 2008. "An economics journals' ranking that takes into account the number of pages and co-authors," Applied Economics, Taylor & Francis Journals, vol. 40(7), pages 853-861.
    4. Anne Ter Wal & Ron Boschma, 2009. "Applying social network analysis in economic geography: framing some key analytic issues," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 43(3), pages 739-756, September.
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    Cited by:

    1. Tamás Sebestyén & Attila Varga, 2013. "Research productivity and the quality of interregional knowledge networks," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 51(1), pages 155-189, August.
    2. Letina, Srebrenka, 2016. "Network and actor attribute effects on the performance of researchers in two fields of social science in a small peripheral community," Journal of Informetrics, Elsevier, vol. 10(2), pages 571-595.
    3. Mario Maggioni & Teodora Uberti, 2011. "Networks and geography in the economics of knowledge flows," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 1031-1051, August.
    4. Pietro Battiston, 2014. "Citations are Forever: Modeling Constrained Network Formation," LEM Papers Series 2014/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    More about this item

    Keywords

    co-authorship; scientific productivity; Italian economists; social network analysis.;

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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