Do more educated workers migrate more? Findings from the Korean Labor and Income Panel Study

Authors

  • Ye Seul Choi Yonsei University, Seoul
  • Chan Yong Kim Yonsei University, Seoul
  • So Hyeon Lee Yonsei University, Seoul
  • Up Lim Yonsei University, Seoul

DOI:

https://doi.org/10.11113/ijbes.v2.n4.93

Abstract

This paper examines the relationship of migration between capital regions and non-capital regions and the level of human capital in Korea using the method of multinomial logistic regression. This paper aims to show whether the high level of human capital of migrants who move to capital regions statistically differs from the other migrants. For analysis, this paper uses the 2006, 2008, 2010 and 2012 panel data from Korean Labor and Income Panel Study (KLIPS). The analysis is divided into two parts of migration based on the region of origin: the migration of individuals who live in non-capital regions and the migration of individuals who live in capital region. In this paper, we consider personal characteristics such as educational attainment and occupations as an indicator of human capital of individual, gender, age, and marriage status as explanatory variables. Our empirical finding is that the educational attainment of individual representing a level of human capital significantly affects the migration behavior moving from non-capital regions to capital regions. According to analysis of migration from Gyeonggi and Incheon to Seoul, the migration within capital regions, individuals who engage in occupation with high skilled and non-manual are more likely to move to Seoul capital regions where favorable conditions for workers in terms of higher wage and better job opportunities can provide. Those results can be understood in the context of human capital theory to maximize personal socioeconomic utilities by migrating to capital regions.

References

Antolin, P. and Bover, O. (1997) ‘Regional migration in Spain: the effect of personal characteristics and of unemployment, wage and house price differentials using pooled cross-sections’, Oxford Bulletin of Economics and Statistics, Vol. 59: 215-235.

Camagni, R. P. (1995) ‘The concept of innovative milieu and its relevance for the lagging regions in the 1990s’, Papers in Regional Science, Vol. 74: 317-340.

Choi, J. H. (2008) ‘Selectivity and reasons for move of interprovincial migrants in Korea: with special reference to the capital region’, Korea Journal of Population Studies, Vol. 31: 159-178.

Faggian, A. and McCann, P. (2009) ‘Human capital, graduate migration and innovation in British regions’. Cambridge Journal of Economics, Vol. 33: 317-333.

Greenwood, M. J. (1985) ‘Human migration: theory, models, and empirical studies’. Journal of Regional Science, Vol 25: 521-544.

Hansen, N. (1992) ‘Competition, trust, and reciprocity in the development of innovative regional milieu’, Papers in Regional Science, Vol. 71: 95-105.

Hughes, G., & McCormick, B. (1989) ‘Does migration reduce differentials in regional unemployment rates?’ in Migration and labor market adjustment (Eds) Dordrecht, Boston and London, 85-108.

ILO. (2013) ‘International statistical comparisons of occupational and social structures: problems, possibilities and the role of ISCO-88’, available from - http://www.ilo.org/public/english/bureau/stat/isco/press1.htm.

Krugman, P. (1991) ‘Increasing returns and economic geography’, Journal of Political Economy, Vol. 3: 483-499.

Kwon, S. C. (2001) ‘Migration and regional development: human capital drain in Korea’, Journal of the Korean Urban Geographical Society, Vol. 4: 67-79.

Kwon, S. C. (2005) ‘Migration to the capital region in Korea: assessing the relative importance of place characteristics and migrant selectivity’, Journal of the Korean Association of Regional Geographers, Vol. 11: 571-584.

Lim, J. D. and Chang, Y. J. (1997) ‘Regional brain drain and balanced regional development’, Journal of the Korean Labor Economy, Vol. 20: 91-115.

Ghatak, S., Levine, P. and Price, S. W. (1996) ‘Migration theories and evidence: an assessment’. Journal of Economic Surveys, Vol. 10: 159-198.

Lucas, R. E. (1988) ‘On the mechanics of economic development’, Journal of Monetary Economics, Vol. 22: 3-42.

Molho, I. (1986) ‘Theories of migration: a review’, Scottish Journal of Political Economy, Vol. 33: 396-419.

Myrdal, G. (1957) Economic Theory and Under-Development Regions, Duckworth, London.

Newbold, K. B. (2010) Population Geography: Tools and Issues, Rowman & Littlefield Publishers, Inc.

Owen, D. and Green, A. (1992) ‘Migration patterns and trends’ in Migration Processes & Patterns (Eds), London and NewYork, 17-38.

Rauch, J. E. (1993). ‘Productivity gains from geographic concentration of human capital: evidence from the cities’, Journal of Urban Economics, Vol. 34: 380-400.

Ritsilä, J. and Haapanen, M. (2003) ‘Where do the highly educated migrate? Micro-level evidence from Finland’, International Review of Applied Economics, Vol. 17: 437-448.

Ritsilä, J. and Ovaskainen, M. (2001) ‘Migration and regional centralization of human capital’, Applied Economics, Vol. 33: 317-325.

Ritsilä, J. and Tervo, H. (1999) ‘Regional differences in the role of migration in labour market adjustment: the case of Finland’ in Series on European Research in Regional Science (Ed.) G. Crampton, Pion, London, 166-182.

Romer, P. M. (1990) ‘Endogenous technological change’, Journal of Political Economy, Vol. 98: 71-102.

Seater, J. J. (1977) ‘A unified model of consumption, labor supply, and job search’. Journal of Economic Theory, Vol. 14: 349-372.

Simon, C. J. (1998) ‘Human capital and metropolitan employment growth’. Journal of Urban Economics, Vol. 43: 223-243.

Sjaastad, L. A. (1962) ‘The costs and returns of human migration’. The Journal of Political Economy, Vol. 70: 80-93.

Weiss, Y. (1971) ‘Learning by doing and occupational specialization’. Journal of Economic Theory, Vol. 3: 189-198.

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Published

2015-11-23

How to Cite

Choi, Y. S., Kim, C. Y., Lee, S. H., & Lim, U. (2015). Do more educated workers migrate more? Findings from the Korean Labor and Income Panel Study. International Journal of Built Environment and Sustainability, 2(4). https://doi.org/10.11113/ijbes.v2.n4.93