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Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics

Listed author(s):
  • Yao Amber Li

    ()

    (Department of Economics, Hong Kong University of Science and Technology
    Institute for Emerging Market Studies, Hong Kong University of Science and Technology)

  • Keith Head

    ()

    (Sander School of Business, University of British Columbia)

  • Asier Minondo

    ()

Using data on academic citations, career and educational histories of mathematicians, and disaggregated distance data for the world's top 1000 math departments, we study how geography and ties affect knowledge flows among scholars. The ties we consider are coauthorship, past colocation, advisor-mediated relationships, and alma mater relationships (holding a Ph.D. from the institution where another scholar is affiliated). Logit regressions using fixed effects that control for subject similarity, article quality, and temporal lags, show linkages are strongly associated with citation. Controlling for ties generally halves the negative impact of geographic barriers on citations; the distance effect became insignificant after 2004.

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File URL: http://iems.ust.hk/wp-content/uploads/2015/09/IEMSWP2015-30.pdf
File Function: First version, 2015
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Paper provided by HKUST Institute for Emerging Market Studies in its series HKUST IEMS Working Paper Series with number 2015-30.

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Length: 35 pages
Date of creation: Sep 2015
Date of revision: Sep 2015
Handle: RePEc:hku:wpaper:201530
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