Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics
Yao Li (),
Keith Head and
Asier Minondo ()
No 2015-30, HKUST IEMS Working Paper Series from HKUST Institute for Emerging Market Studies
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.
Keywords: network; distance; border; geography; knowledge flows; academic citations; genealogy; matching (search for similar items in EconPapers)
JEL-codes: O3 F1 R1 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-geo, nep-ino, nep-sog and nep-ure
Date: 2015-09, Revised 2015-09
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http://iems.ust.hk/assets/publications/working-papers-2015/iemswp2015-30.pdf First version, 2015 (application/pdf)
Journal Article: Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics (2019)
Working Paper: Geography, Ties and Knowledge Flows: Evidence from Citations in Mathematics (2018)
Working Paper: Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics (2018)
Working Paper: Geography, ties and knowledge flows: evidence from citations in mathematics (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:hku:wpaper:201530
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