Skip to main content

Advertisement

Log in

Migration behavior of students and graduates under prevailing regional dualism: the case of South Korea

  • Original Paper
  • Published:
The Annals of Regional Science Aims and scope Submit manuscript

Abstract

Improvement in human capital stock and regional economic development are associated with migration for higher education as well as with the subsequent migration of graduates. Accumulation of human capital attributable to universities’ contribution is possible not only when students are attracted to the region for their higher education, but also when graduates stay to work in the university region. Previous research makes a strong argument supporting the notion that the better the quality of the university from which a student graduates, the lower the probability that she/he will migrate after graduation. However, the manner in which the quality of the university affects student mobility might differ, given the vast regional disparities. The purpose of this study is to investigate the factors affecting the migration behavior of students and graduates under the prevailing regional dualism in Korea, using the Korean Labor and Income Panel Study. Two-stage recursive models are applied to investigate how migration choice behaviors of students and graduates in the Seoul Metropolitan Area, which has a greater concentration of political, cultural, and financial functions, differ from those in the rest of the country. The empirical results demonstrate that the probability that the student will migrate for higher education is positively affected by the quality of the university. However, the results also show that the better the quality of the university, the higher the probability that graduates will migrate after completing higher education. Such a phenomenon is much more remarkable in the lesser developed areas.

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

Notes

  1. To date, there is no concrete agreement on how to measure universities’ contributions to the stock of human capital and regional economic development. Despite the absence of a common methodology for calculating and the definition of economic impact, however, it is generally accepted that the economic impact of a university can be defined by the difference between the current economic level of a region owing to the presence of the university and the level that would have been if it did not exist (Beck et al. 1995).

  2. A higher education institution will exert a positive regional impact when graduates stay to work in the place they were educated in. Bluestone (1993) analyzed data from the University of Massachusetts (Boston) and showed that 89% of undergraduates and 82% of graduates remained in the same region after completing their education.

  3. The first set of criteria for “Faculty research” consist of number of faculty publications, citations of faculty papers, amount of research funding, intellectual property registration, and technology transfer. The second set of criteria for “Education and financial conditions” include faculty–student ratio, book purchases, open courseware, and other student indicators. The third, “Reputation and alumni networks” include employment rate of graduates, alumni donations, and other social indicators. Lastly, the fourth set of criteria for “Internationalization” includes diversity of the foreign student population, and percentages of foreign faculty, foreign students, exchange students, and courses in English (refer to http://univ.joongang.co.kr/).

  4. For a discussion on the choice of variables on university quality, refer to Ciriaci (2013, p. 9).

References

  • Artz G (2003) Rural area brain drain: is it a reality? Choices 18(4):11–15

    Google Scholar 

  • Beck R, Elliott D, Meisel J, Wagner M (1995) Economic impact studies of regional public colleges and universities. Growth Change 26:245–260

    Article  Google Scholar 

  • Bluestone B (1993) UMASS/Boston:an economic impact study. John W. McCormack Institute of Public Affairs. The University of Massachusetts, Boston

    Google Scholar 

  • Bradley S, Taylor J (1996) Human capital formation and local economic performance. Reg Stud 30(1):1–14

    Article  Google Scholar 

  • Brown KH, Heaney M (1997) A note on measuring the economic impact of institutions of higher education. Res Higher Educ 38(2):229–240

    Article  Google Scholar 

  • Carr PJ, Kefalas MJ (2009) Hollowing out the middle: the rural brain drain and what it means for America. Beacon Press, Boston

    Google Scholar 

  • Ciriaci D (2013) Does university quality influence the interregional mobility of students and graduates? The case of Italy. Reg Stud 48(10):1–17

    Google Scholar 

  • Charles DR (2007) Regional development, universities and strategies for cluster promotion. In: Harding A, Scott A, Laske S, Burtscher C (eds) Knowledge factories. Ashgate, Burlington, pp 53–66

    Google Scholar 

  • Cooke TJ, Boyle P (2011) The Migration of High School Graduates to College. Educ Eval Policy Anal 33(2):202–213

    Article  Google Scholar 

  • Corcoran J, Faggian A, McCann P (2010) Human capital in remote and rural Australia: the role of graduate migration. Growth Change 42(2):192–220

    Article  Google Scholar 

  • Dotti NF, Fratesi U, Lenzi C, Percoco M (2013) Local labour markets and the interregional mobility of Italian University students. Spatial Econ Anal 8(4):443–468

    Article  Google Scholar 

  • DaVanzo J (1976) Differences between return and nonreturn migration: an econometric analysis. Int Migr Rev 10:13–27

    Article  Google Scholar 

  • DaVanzo J (1983) Repeat migration in the United States: who moves back and who moves on? Rev Econ Stat 65(4):552–559

    Article  Google Scholar 

  • Faggian D, McCann P (2006) Human capital flows and regional knowledge assets: a simultaneous equation approach. Oxf Econ Pap 58(3):475–500

    Article  Google Scholar 

  • Faggian D, McCann P (2009a) Human capital, graduate migration and innovation in British regions. Camb J Econ 33:317–333

    Article  Google Scholar 

  • Faggian D, McCann P (2009b) Universities, agglomerations and graduate human capital mobility. J Econ Soc Geogr (TESG) 100(2):210–223

    Google Scholar 

  • Faggian D, McCann P, Sheppard S (2007) Human capital, higher education and graduate migration: an analysis of Scottish and Welsh students. Urban Stud 44(13):2511–2528

    Article  Google Scholar 

  • Fratesi U, Riggi MR (2007) Does migration reduce regional disparities? The role of skill-selective flows. Rev Urban Reg Dev Stud 19(1):78–102

    Article  Google Scholar 

  • Fratesi U (2014) Editorial: the mobility of high-skilled workers—causes and consequences. Reg Stud 48(10):1587–1591

    Article  Google Scholar 

  • Fratesi U, Percoco M (2014) Selective migration, regional growth and convergence: evidence from Italy. Reg Stud 48(10):1650–1668

    Article  Google Scholar 

  • Giannetti M (2003) On the mechanics of migration decisions: skill complementarities and endogenous price differentials. J Dev Econ 71(2):329–349

    Article  Google Scholar 

  • Glaeser E, Mare D (2001) Cities and skills. J labor Econ 19(2):316–342

    Article  Google Scholar 

  • Gould ED (2007) Cities, workers, and wages: a structural analysis of the urban wage premium. Rev Econ Stud 74:477–506

    Article  Google Scholar 

  • Haapanen M, Tervo H (2012) Migration of the highly educated: evidence from residence spells of university graduates. J Reg Sci 54(4):587–605

    Article  Google Scholar 

  • Han S, Jung A (2013) Analysis of Korean University reputation ranking based on key reputation rank factors of the US best research university. Int J Educ Res 1(11):1–12

    Google Scholar 

  • Kanbur R, Rapoport H (2005) Migration selectivity and the evolution of spatial inequality. J Econ Geogr 5:43–57

    Article  Google Scholar 

  • Kim IK (2010) Socioeconomic concentration in the Seoul metropolitan area and its implications in the urbanization process of Korea. Korean J Sociol 44(3):111–128 (written in Korean)

    Google Scholar 

  • Kwon OK, Ma KR (2014) A study in migration patterns of the Seoul metropolitan area using shift-share analysis. J Korea Plan Assoc 49(8):5–19 (written in Korean)

    Article  Google Scholar 

  • Marinelli E (2013) Sub-national graduate mobility and knowledge flows: an exploratory analysis of onward- and return migrants in Italy. Reg Stud 47(10):1618–1633

    Article  Google Scholar 

  • OECD (2013) Education at a glance 2013: OECD indicators

  • Park SY (2015) An analysis on the trend of returns to education and inequality within schooling. J Econ Fin Educ 24(1):167–192 (written in Korean)

    Google Scholar 

  • Ritsila J, Haapanen M (2003) Where do the highly educated migrate? Micro-level evidence from Finland. Int Rev Appl Econ 17(4):437–448

    Article  Google Scholar 

  • Storper M, Scott AJ (2009) Rethinking human capital, creativity and urban growth. J Econ Geogr 9:147–167

    Article  Google Scholar 

  • Waldorf BS (2009) Is human capital accumulation a self-propelling process? Comparing educational attainment levels of movers and stayers. Ann Reg Sci 43:323–344

    Article  Google Scholar 

  • Whistler RL, Waldorf B, Mulligan G, Plane D (2008) Quality of life and the migration of college-educated: a life-course approach. Growth Change 39(1):58–94

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Eun-Taek Kang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ma, KR., Kang, ET. & Kwon, OK. Migration behavior of students and graduates under prevailing regional dualism: the case of South Korea. Ann Reg Sci 58, 209–233 (2017). https://doi.org/10.1007/s00168-016-0799-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00168-016-0799-9

JEL Classification

Navigation