Skip to main content
Log in

The contingent nature of brain gain and brain circulation: their foreign context and the impact of return scientists on the scientific community in their country of origin

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

The recent literature on high skilled labor migration has taken a turn from analyzing processes of ‘brain drain’ to processes of ‘brain gain’ and ‘brain circulation’. Returning scientists, having been affiliated to foreign institutes, are able to facilitate knowledge exchanges between the two locations, and facilitate the linkage of the national scientific community to international scientific cooperation projects. In this way, return scientists can have a disproportionate impact on the development of the scientific community in their country of origin. However, not all flows of return migrants have had such a positive impact. Returnees failed to affect developments in some localities, while producing ambiguous effects in others. These studies typically argue that the impact of return migrants is dependent on the absorptive capacity and the local social, cultural, and institutional context in the country of origin. Using data on return migrants within the Taiwanese economic academic community, this paper seeks to add to this literature by arguing that the impact of return migrants is not only dependent on the circumstances in their country of origin, but is also contingent on the nature and quality of the context in which they acquired their international labor experience. Skills and access to knowledge networks are heterogeneously spread over geographical space, so that the context in which a return migrant acquired his or her international labor experience matters.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Ackers, L. (2005). Moving people and knowledge: Scientific mobility in the European Union1. International Migration, 43(5), 99–131.

    Article  Google Scholar 

  • Agrawal, A., Cockburn, I., & McHale, J. (2006). Gone but not forgotten: Knowledge flows, labor mobility, and enduring social relationships. Journal of Economic Geography, 6(5), 571–591.

    Article  Google Scholar 

  • Agrawal, A., Kapur, D., McHale, J., & Oettl, A. (2011). Brain drain or brain bank? The impact of skilled emigration on poor-country innovation. Journal of Urban Economics, 69(1), 43–55.

    Article  Google Scholar 

  • Amin, A., & Cohendet, P. (2004). Architectures of knowledge: Firms, capabilities, and communities. New York: Oxford University Press.

    Google Scholar 

  • Bathelt, H., Malmberg, A., & Maskell, P. (2004). Clusters and knowledge: Local buzz, global pipelines and the process of knowledge creation. Progress in Human Geography, 28(1), 31–56.

    Article  Google Scholar 

  • Bozeman, B., & Corley, E. (2004). Scientists’ collaboration strategies: Implications for scientific and technical human capital. Research Policy, 33(4), 599–616.

    Article  Google Scholar 

  • Breschi, S., & Lissoni, F. (2003). Mobility and social networks: localised knowledge spillovers revisited. CESPRI Working Paper, No. 142.

  • Chen, Y.-C. (2008). The limits of brain circulation: Chinese returnees and technological development in Beijing. Pacific Affairs, 81(2), 195–215.

    Google Scholar 

  • Coe, N. M., & Bunnell, T. G. (2003). ‘Spatializing’ knowledge communities: Towards a conceptualization of transnational innovation networks. Global Networks, 3(4), 437–456.

    Article  Google Scholar 

  • Coupé, T. (2003). Revealed performances: Worldwide rankings of economists and economics departments, 1990–2000. Journal of the European Economic Association, 1(6), 1309–1345.

    Article  Google Scholar 

  • Dahl, M. S., & Pedersen, C. Ø. R. (2004). Knowledge flows through informal contacts in industrial clusters: Myth or reality? Research Policy, 33(10), 1673–1686.

    Article  Google Scholar 

  • Docquier, F., Faye, O., & Pestieau, P. (2008). Is migration a good substitute for education subsidies? Journal of Development Economics, 86(2), 263–276.

    Article  Google Scholar 

  • Docquier, F., & Rapoport, H. (2009). Documenting the Brain Drain of «la Crème de la Crème»: Three case-studies on international migration at the upper tail of the education distribution. (pp. 1–35). Ramat Gan: Bar-Ilan University, Department of Economics.

  • Filatotchev, I., Liu, X., Buck, T., & Wright, M. (2009). The export orientation and export performance of high-technology SMEs in emerging markets: The effects of knowledge transfer by returnee entrepreneurs. Journal of International Business Studies, 40(6), 1005–1021.

    Article  Google Scholar 

  • Giuliani, E. (2007). The selective nature of knowledge networks in clusters: Evidence from the wine industry. Journal of Economic Geography, 7(2), 139–168.

    Article  MathSciNet  Google Scholar 

  • Glänzel, W. (2001). National characteristics in international scientific co-authorship relations. Scientometrics, 51(1), 69–115.

    Article  Google Scholar 

  • Glänzel, W., & Schubert, A. (2005). Analysing scientific networks through co-authorship. In H. Moed, W. Glänzel, & U. Schmoch (Eds.), Handbook of quantitative science and technology research (pp. 257–276). Dordrecht: Springer.

    Chapter  Google Scholar 

  • Hsu, J.-Y., & Saxenian, A. (2000). The limits of Guanxi capitalism: Transnational cooperation between Taiwan and the USA. Environment and Planning A, 32, 1991–2005.

    Article  Google Scholar 

  • Jonkers, K., & Tijssen, R. (2008). Chinese researchers returning home: Impacts of international mobility on research collaboration and scientific productivity. Scientometrics, 77(2), 309–333. doi:10.1007/s11192-007-1971-x.

    Article  Google Scholar 

  • Jöns, H. (2009). ‘Brain circulation’ and transnational knowledge networks: Studying long-term effects of academic mobility to Germany, 1954–2000. Global Networks, 9(3), 315–338.

    Article  Google Scholar 

  • Kale, D., Wield, D., & Chataway, J. (2008). Diffusion of knowledge through migration of scientific labour in India. Science and Public Policy, 35(6), 417–430.

    Article  Google Scholar 

  • Kim, M.-J. (1999). Korean international co-authorship in science 1994–1996. Journal of Information Science, 25, 403–412.

    Google Scholar 

  • Laudel, G. (2003). Studying the brain drain: Can bibliometric methods help? Scientometrics, 57(2), 215–237.

    Article  Google Scholar 

  • Leta, J., & Chaimovich, H. (2002). Recognition and international collaboration: The Brazilian case. Scientometrics, 53(3), 325–335.

    Article  Google Scholar 

  • Lucas, M., Sands, A., & Wolfe, D. (2009). Regional clusters in a global industry: ICT clusters in Canada. European Planning Studies, 17(2), 189–209.

    Article  Google Scholar 

  • Meyer, J.-B. (2001). Network approach versus brain drain: Lessons from the diaspora. International Migration, 39(5), 91–110.

    Article  Google Scholar 

  • Mullings, B. (2011). Diaspora strategies, skilled migrants and human capital enhancement in Jamaica. Global Networks, 11(1), 24–42.

    Article  Google Scholar 

  • Owen-Smith, J., & Powell, W. W. (2004). Knowledge networks as channels and conduits: The effects of spillovers in the Boston Biotechnology Community. Organization Science, 15(1), 5–21.

    Article  Google Scholar 

  • Pan, S.-Y. (2011). Education abroad, human capital development, and national competitiveness: China’s brain gain strategies. Frontiers of Education in China, 6(1), 106–138.

    Article  Google Scholar 

  • Podolny, J. M., Stuart, T. E., & Hannan, M. T. (1996). Networks, knowledge, and niches: Competition in the Worldwide semiconductor industry, 1984–1991. American Journal of Sociology, 102(3), 659–689.

    Article  Google Scholar 

  • Powell, W. W., Koput, K. W., & Smith-Doerr, L. (1996). Interorganizational collaboration and the locus of innovation: Networks of learning in biotechnology. Administrative Science Quarterly, 41(1), 116–145.

    Article  Google Scholar 

  • Rothaermel, F. T., & Hess, A. W. (2007). Building dynamic capabilities: Innovation driven by individual-, firm-, and network-level effects. Organization Science, 18(6), 898–921.

    Article  Google Scholar 

  • Saxenian, A. (1994). Regional advantage: Culture and competition in Silicon Valley and Route 128. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Saxenian, A. (2002). The Silicon Valley connection: Transnational networks and regional development in Taiwan, China and India. Science Technology and Society, 7(1), 117–149.

    Article  Google Scholar 

  • Saxenian, A. (2005). From brain drain to brain circulation: Transnational communities and regional upgrading in India and China. Studies in Comparative International Development (SCID), 40(2), 35–61.

    Article  Google Scholar 

  • Saxenian, A. (2006). The new Argonauts (regional advantage in a global economy). Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Saxenian, A., & Sabel, C. (2008). Venture capital in the “periphery”: The new Argonauts, global search, and local institution building. Economic Geography, 84(4), 379–394.

    Article  Google Scholar 

  • Schiller, D., & Revilla Diez, J. (2008). Mobile star scientists as regional knowledge spillover agents. IAREG Working paper. Hannover: Leibniz University.

    Google Scholar 

  • Sorenson, O., Rivkin, J. W., & Fleming, L. (2007). Informational complexity and the flow of knowledge across social boundaries. In K. Frenken (Ed.), Applied evolutionary economics and economic geography (pp. 147–159). Cheltenham/Northampton: Edward Elgar.

    Google Scholar 

  • Sorenson, O., & Stuart, T. E. (2001). Syndication networks and the spatial distribution of venture capital investments. American Journal of Sociology, 106(6), 1546–1588.

    Article  Google Scholar 

  • Wagner, C. S., & Leydesdorff, L. (2005). Network structure, self-organization, and the growth of international collaboration in science. Research Policy, 34(10), 1608–1618.

    Article  Google Scholar 

  • Woolley, R., Turpin, T., Marceau, J., & Hill, S. (2008). Mobility matters: Research training and network building in science. Comparative Technology Transfer and Society, 6(3), 159–184.

    Article  Google Scholar 

  • Yang, R., & Welch, A. R. (2010). Globalisation, transnational academic mobility and the Chinese knowledge diaspora: An Australian case study. Discourse Studies in the Cultural Politics of Education, 31(5), 593–607.

    Article  Google Scholar 

  • Zhang, W.-B. (2003). Taiwan’s modernization: Americanization and modernizing Confucian manifestations. River Edge, NJ: World Scientific.

    Book  Google Scholar 

  • Zhou, P., & Leydesdorff, L. (2006). The emergence of China as a leading nation in science. Research Policy, 35(1), 83–104.

    Article  Google Scholar 

  • Zucker, L. G., Darby, M. R., & Armstrong, J. S. (2002). Commercializing knowledge: University science, knowledge capture, and firm performance in biotechnology. Management Science, 48(1), 138–153.

    Article  Google Scholar 

  • Zweig, D. (2006). Competing for talent: China’s strategies to reverse the brain drain. International Labour Review, 145(1–2), 65–90.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thijs A. Velema.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Velema, T.A. The contingent nature of brain gain and brain circulation: their foreign context and the impact of return scientists on the scientific community in their country of origin. Scientometrics 93, 893–913 (2012). https://doi.org/10.1007/s11192-012-0751-4

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-012-0751-4

Keywords

Navigation