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Chinese graduate students and U.S. scientific productivity

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985998%3A_____%2F13%3A00392698" target="_blank" >RIV/67985998:_____/13:00392698 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11640/13:00423395

  • Result on the web

    <a href="http://dx.doi.org/10.1162/REST_a_00283" target="_blank" >http://dx.doi.org/10.1162/REST_a_00283</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1162/REST_a_00283" target="_blank" >10.1162/REST_a_00283</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Chinese graduate students and U.S. scientific productivity

  • Original language description

    The migration of young Chinese scientists to undertake graduate studies in U.S. universities is arguably one of the most important recent episodes of skilled migration. Using a new data set covering around 16,000 Ph.D. graduates in 161 U.S. chemistry departments, we show that Chinese students have a scientific output during their thesis that is significantly higher than other students. In fact, conditional on acceptance into the same programs, Chinese students perform about as well as the awardees of the NSF doctoral fellowship program. These results shed new light on the benefits of student migration on scientific productivity of destination countries.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Review of Economics and Statistics

  • ISSN

    0034-6535

  • e-ISSN

  • Volume of the periodical

    95

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    4

  • Pages from-to

    698-701

  • UT code for WoS article

    000319232300024

  • EID of the result in the Scopus database