|Title:||The Role of Regional Differences in Immigration: The Case of OECD Countries|
Vol. 11, No 3, 2018
Published date: 09-2018 (print) / 09-2018 (online)
Economics & Sociology
ISSN: 2071-789X, eISSN: 2306-3459
University of Debrecen
University of Debrecen
University of Debrecen
University of Debrecen
|Keywords:||migration, regionalism, educational attainment, aging, OECD|
|JEL classification:||K37, J21, J15|
Despite physical, cultural, economic and other obstacles, millions of people have recently emigrated from one country to another in search of a better life. Consequently, the importance of this research topic has grown over time. Analysis of this regional approach is based on the OECD censuses, and its unique Database on Immigrants (DIOC), which makes it possible to generate a wide variety of cross-tabulations on the characteristics of asylum-seekers by the country of their birth. The aim of this study is to contribute to literature by analysing the role of regional differences in migration more closely in terms of the importance of migration regulation policies in the OECD countries. According to the results based on Binary Logistic (Logit) and Linear (OLS) Regression models, the educational attainment, age, sex and the place of birth of migrants are related in different ways to their region of origin. Moreover, male migrants are more skilled than females, migrants who are more educated are older than the less skilled, and foreign-born migrants seemed to be older than native-born migrants. There is also additional evidence suggesting that different regions and countries might follow different policies and norms for admission of migrants. Therefore, forthcoming migration governance programs that aim to facilitate the labour market integration of migrants should also take into consideration their regional characteristics.
1. Arltová, M., Smrčka, L., Vrabcová, J., & Schönfeld, J. (2016). The Ageing of the Population in Developed Countries – the Economic Consequences in the Czech Republic. Economics & Sociology, 9(2), 197-219. https://doi.org/10.14254/2071-789X.2016/9-2/14
2. Aubry, A., Burzyński, M., & Docquier, F. (2016). The welfare impact of global migration in OECD countries. Journal of International Economics, 101, 1-21. https://doi.org/10.1016/J.JINTECO.2016.03.005
3. Beck, A., Corak, M., & Tienda, M. (2012). Age at Immigration and the Adult Attainments of Child Migrants to the United States. Annals of the American Academy of Political and Social Science, 643(1), 134-159. https://doi.org/10.1177/0002716212442665
4. Biswas, T., McHardy, J., & Nolan, M. A. (2005). Inter-regional Migration: the UK Experience. Sheffield Economic Research Paper Series, (January), 1-32.
5. Bodvarsson, Ö. B., & Van den Berg, H. (2013). The Economics of Immigration. New York, NY: Springer New York. https://doi.org/10.1007/978-1-4614-2116-0
6. Borjas, G. J., Bronars, S. G., & Trego, S. J. (1992). Self-Selection and Internal Migration in the United States. Journal of Urban Economics, 32, 159-185.
7. Burzynski, M., Docquier, F., & Rapoport, H. (2018). The Changing Structure of Immigration to the OECD: What Welfare Effects on Member Countries? IZA Discussion Papers. Retrieved from https://ideas.repec.org/p/iza/izadps/dp11610.html
8. Čajka, P., Jaroszewicz, M., & Strielkowski, W. (2014). Migration incentives and flows between Belarus, Moldova, Ukraine and the European Union: A forecasting model. Economics and Sociology, 7(4), 11-25. https://doi.org/10.14254/2071-789X.2014/7-4/1
9. Castles, S. (2013). The Forces Driving Global Migration. Journal of Intercultural Studies, 34(2), 122-140. https://doi.org/10.1080/07256868.2013.781916
10. Chiswick, B., & Miller, P. (2014). Handbook of the Economics of International Migration, 1 SET. Elsevier Science.
11. Chiswick, B. R., & DebBurman, N. (2004). Educational attainment: analysis by immigrant generation. Economics of Education Review, 23(4), 361-379. https://doi.org/DOI 10.1016/j.econedurev.2003.09.002.
12. Cox, D. R. (1958). The Regression Analysis of Binary Sequences. Journal of the Royal Statistical Society. Series B (Methodological). WileyRoyal Statistical Society. https://doi.org/10.2307/2983890.
13. Cuaresma, J. C., Huber, P., Oberdabernig, D., & Raggl, A. (2015). Migration in an ageing Europe : What are the challenges ? (No. 79). WWWforEurope.
14. Czaika, M., & Parsons, C. R. (2017). The Gravity of High-Skilled Migration Policies. Demography, 54(2), 603-630. https://doi.org/10.1007/s13524-017-0559-1
15. Dajnoki, K., Máté, D., Fenyves, V., & Kun, A. I. (2017). Deconstructing attitudes towards immigrant workers among Hungarian employees and higher education students. Sustainability, 9(9). https://doi.org/10.3390/su9091639
16. Derderian-aghajanian, A., & Cong, W. C. (2012). How Culture Affects on English Language Learners ’ ( ELL ’ s ) Outcomes , with Chinese and Middle Eastern Immigrant Students. International Journal of Business and Social Sciences, 3(5), 172-180.
17. di Giovanni, J., Levchenko, A. A., & Ortega, F. (2015). A global view of cross-border migration. Journal of the European Economic Association, 13(1), 168-202. https://doi.org/10.1111/jeea.12110
18. Dumont, J.-C., & Lamaitre, G. (2005). Counting immigrants and expatriates in OECD countries. Trends in International Migration 2004, (1), 115-149. https://doi.org/10.1787/eco_studies-v2005-art3-en
19. Dustmann, C., & Glitz, A. (2011). Migration and Education. Handbook of the Economics of Education (Vol. 4). https://doi.org/10.1016/B978-0-444-53444-6.00004-3
20. Findlay, A. M., & Mulder, C. H. (2015). Scoping the Future of ‘Population, Space and Place.’ Population, Space and Place, 21(8), 689-691. https://doi.org/10.1002/psp.2000
21. Fleury, A. (2016). Understanding Women and Migration: A Literature Review (Working Paper 8.).
22. Flisi, S., Meroni, E. C., & Vera-Toscano, E. (2016). Educational outcomes and immigrant background. https://doi.org/10.2791/026577
23. Fournier, S. F. (1989). The Link Between Trade, Migration, and Regional change. Massachusetts Institute of Technology.
24. Greenwood, M. J. (1997). Internal migration in developed countries. In Handbook of Population and Family Economics (Vol. 1, Part B, pp. 647-720). Elsevier.
25. Hair, J. F. (2010). Multivariate data analysis. Prentice Hall.
26. Hunt, J. (2012). The impact of immigration on the educational attainment of natives. Nber Working Paper Series, No. 18047(6630). https://doi.org/10.1017/CBO9781107415324.004
27. Iceland, J. (2017). Race and ethnicity in America. Oakland California: University of California Press.
28. ILO. (2017). Global estimates of modern slavery: forced labour and forced marriage.
29. Jandová, M., & Paleta, T. (2015). Gravity models of internal migration - The Czech case study. Review of Economic Perspectives, 15(1), 3-14. https://doi.org/10.1515/revecp-2015-0008
30. Jones, F. E. (1981). Age at immigration and educational attainment. Canadian Review of Sociology/Revue Canadienne de Sociologie, 18(3), 393-405. https://doi.org/10.1111/j.1755-618X.1981.tb00062.x
31. Kainth, G. (2009). Push and pull factors of migration: A case of Brick Kiln industry of Punjab State (No. 30036). Asian-Specific Journal of Social Sciences. https://doi.org/http://www.socialsciences-ejournal.org
32. Khoir, S., Du, J. T., & Koronios, A. (2014). Study of Asian Immigrants’ Information Behaviour in South Australia: Preliminary Results. IConference 2014. https://doi.org/10.9776/14316
33. Kim, C. H., & Sakamoto, A. (2017). Women’s Progress for Men’s Gain? Gender-Specific Changes in the Return to Education as Measured by Family Standard of Living, 1990 to 2009-2011. Demography, 54(5), 1743-1772. https://doi.org/10.1007/s13524-017-0601-3
34. Kim, H., & Markus, H. R. (1999). Deviance or uniqueness, harmony or conformity? A cultural analysis. Journal of Personality and Social Psychology, 77(4), 785-800. https://doi.org/10.1037/0022-35184.108.40.2065
35. Kohnert, D. (2007). African Migration to Europe: Obscured Responsibilities and Common Misconceptions, (May), 24. https://doi.org/www.giga-hamburg.de Electronic
36. Koser, K., & Salt, J. (1997). The geography of highly skilled international migration. International Journal of Population Geography, 3(4), 285-303. https://doi.org/10.1002/(SICI)1099-1220(199712)3:4<285::AID-IJPG72>3.0.CO;2-W
37. Máté, D., Sarihasan, I., & Dajnoki, K. (2017). The relations between labour market institutions and employment of migrants. Amfiteatru Economic, 19(46), 806-820.
38. McInnis, M. (1971). Age, education and occupation differentials in interregional migration: some evidence for Canada. Demography, 8(2), 195-204. https://doi.org/10.2307/2060609
39. Millington, J. (2000). Migration and Age: The Effect of Age on Sensitivity to Migration Stimuli. Regional Studies, 34(6), 521-533. https://doi.org/10.1080/00343400050085648
40. Mueser, P. R. (1989). Measuring the Impact of Locational Characteristics on Migration: Interpreting Cross-Sectional Analyses. Demography, 26(3), 499. https://doi.org/10.2307/2061609
41. Nita, S., Pécoud, A., De Lombaerde, P., Neyts, K., & Gartland, J. (2017). Migration, Free Movement and Regional Integration. (Sonja Nita (Schröder) Antoine Pécoud Philippe De Lombaerde KateNeyts Josh Gartland Paulde Guchteneire, Ed.). Retrieved from http:
42. Norton, S. W., & Tomal, A. (2009). Religion and female educational attainment. Journal of Money, Credit and Banking, 41(5), 961-986. https://doi.org/10.1111/j.1538-4616.2009.00240.x
43. OECD. (2017). Foreign-born population (indicator). https://doi.org/doi: 10.1787/5a368e1b-en
44. OECD. (2018). Database on Immigrants in OECD and non-OECD Countries: DIOC - OECD. Retrieved January 12, 2018, from http://www.oecd.org/els/mig/dioc.htm
45. Oláh, J., Halasi, G., Szakály, Z., Popp, J., & Balogh, P. (2017). The impact of international migration on the labour market - A case study from Hungary. The Amfiteatru Econmic, 19(46), 790-805.
46. Ozgur, E.M and Deniz, A. (2014). a Migration System Formation Based on Tourism. Aegean Geographical Journal, 23, 1-18.
47. Philip, L., Macleod, M., & Stockdale, A. (2013). Retirement Transition, Migration and Remote Rural Communities: Evidence from the Isle of Bute. Scottish Geographical Journal, 129(2), 122-136. https://doi.org/10.1080/14702541.2013.783616
48. Quinn, M. A., & Rubb, S. (2005). The Importance of Education-Occupation Matching in Migration Decisions. Demography, 42(1), 153-167. https://doi.org/10.1353/dem.2005.0008
49. Rahmandoust, M. (2011). Iranian Entrepreneurs in Malaysia : Their Migration Reasons Iranian Entrepreneurs in Malaysia : Their Migration Reasons. The Middle East, 13(9), 2075-2081.
50. Ravenstein, E. G. (1885). The Laws of Migration. Journal of the Statistical Society of London.Tun, 48(2), 167-235.
51. Reed, H. E., & Andrzejewski, C. S. (2010). The New Wave of African Immigrants in the United States. Population Association of American 2010 Annual Meeting.
52. Rephann, T. J., & Vencatasawmy, C. P. (2000). Determinants of the Spatial Mobility of Immigrants: Evidence from Sweden. The Review of Regional Studies, 30(2), 189-213. Retrieved from https://ideas.repec.org/a/rre/publsh/v30y2000i2p189-213.html
53. Rosen, S. (1974). Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition. Journal of Political Economy, 82(1), 34-55. https://doi.org/10.1086/260169
54. Schwartz, A. (1976). Migration, Age, and Education. Journal of Political Economy, 84(4, Part 1), 701-719. https://doi.org/10.1086/260472
55. Tiebout, C. M. (1956). A Pure Theory of Local Expenditures. Journal of Political Economy, 64(5), 416-424. https://doi.org/10.1086/257839
56. UN. (2017). United Nations Statistics Division - Classifications Registry, ISIC Rev. 4.
57. UNESCO. (2011). International Standard Classification of Education (UIS/2012/INS/10/REV). UNESCO Institute of Statistics.
58. United Nations. (2017). International Migration Report 2017.
59. van Dalen, H. P., & Henkens, K. (2012). Explaining low international labour mobility: the role of networks, personality, and perceived labour market opportunities. Population, Space and Place, 18(1), 31-44. https://doi.org/10.1002/psp.642
60. Williams, A. M., Jephcote, C., Janta, H., & Li, G. (2018). The migration intentions of young adults in Europe: A comparative, multilevel analysis. Population, Space and Place, 24(1), e2123. https://doi.org/10.1002/psp.2123
61. Zaiceva, A. (2014). The impact of aging on the scale of migration (99). IZA Workd of Labor. https://doi.org/doi: 10.15185/izawol.99