Networks and the location of foreign migrantsevidence for Southern Europe

  1. Serrano Domingo, Guadalupe 1
  2. Cabrer Borrás, Bernardí 1
  3. Requena Silvente, Francisco 1
  1. 1 Universitat de València
    info

    Universitat de València

    Valencia, España

    ROR https://ror.org/043nxc105

Revista:
Investigaciones Regionales = Journal of Regional Research

ISSN: 1695-7253,  2340-2717

Año de publicación: 2020

Número: 47

Páginas: 97-112

Tipo: Artículo

DOI: 10.38191/IIRR-JORR.20.012 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: Investigaciones Regionales = Journal of Regional Research

Resumen

Este trabajo investiga el impacto de las comunidades de inmigrantes (redes sociales) y de las relaciones comerciales históricas (redes de negocios) sobre la decisión de localización de los inmigrantes en una determinada provincia de Italia, Portugal o España. Se analiza la dependencia espacial que puede afectar a esta decisión contrastando, primero, si existen efectos spillover de la inmigración en el resto de provincias y, a continuación, si hay un efecto asociado a la presencia de estas redes en las provincias vecinas. Los resultados muestran que las redes sociales actúan como factor de atracción, pero su efecto positivo se atenúa cuando hay provincias adyacentes con comunidades de inmigrantes del mismo país grandes. En el caso de las redes de negocios, las provincias contiguas con lazos comerciales históricos con el país de origen del inmigrante compiten como destinos alternativos. Así, el impacto de la inmigración se desborda al resto de provincias en el país de destino, y requerirá de la coordinación de las políticas de migración locales y nacionales para que sean efectivas.

€ Ver financiación

Información de financiación

We gratefully acknowledge financial support from the Spanish Ministry of Economy, Innovation and Universities (RTI2018-100899-B-I00 co-financed with FEDER), and the Generalitat Valenciana (GVPROMETEO 2018/102).

Financiadores

Referencias bibliográficas

  • Abel, G.J., & Cohen, J.E. (2019). Bilateral international migration flow estimates for 200 countries. Scientific Data, 6(82). https://doi.org/10.1038/s41597-019-0089-3
  • Aguiar, A., Walmsley, T., & Abrevaya J. (2007). Effects of bilateral trade on migration flows: The case of the United States. Draft paper presented at the Tenth Annual Conference on Global Economic Analysis. Purdue University. USA.
  • Anderson, J. E. (2011). The Gravity Model. The Annual Review of Economics. 3(1), 133-160. https://doi.org/10.1146/annurev-economics-111809-125114 https://doi.org/10.1146/annurev-economics-111809-125114
  • Anselin, L. (1988). Spatial Econometrics: Methods and models. Springer.
  • Anselin, L., & Florax, R. (1995). Local indicators of spatial association-LISA. Geographical Analysis, 27, 93-115.
  • Artal-Tur, A., Pallardo-López, V., & Requena-Silvente, F. (2012). The trade-enhancing effect of immigration networks: New evidence on the role of geographic proximity. Economic Letters, 116, 554-557. https://doi.org/10.1016/j.econlet.2012.05.046
  • Balan, J. (1992). The role of migration policies and social networks in the development of a migration system in the southern cone. In M. M. Kritz, L. L. Lim, & H. Zlotnik (Eds.), International migration systems: A global approach. Clarendon Press.
  • Beine, M., Docquier, F., & Özden, Ç. (2011). Diasporas. Journal of Development Economics, 95, 30- 41. https://doi.org/10.1016/j.jdeveco.2009.11.004
  • Beine, M., Docquier, F., & Özden, Ç. (2015). Dissecting network externalities in international migration. Journal of Demographic Economics, 81(4), 379-408. https://doi.org/10.1017/dem.2015.13
  • Bertoli, S., & Fernandez-Huertas, J. (2013). Multilateral resistance to migration. Journal of Development Economics, 102, 79–100. https://doi.org/10.1016/j.jdeveco.2012.12.001
  • Bertoli, S., & Fernandez-Huertas, J. (2015). The size of the cliff at the border. Regional Science and Urban Economics, 51, 1–6. https://doi.org/10.1016/j.regsciurbeco.2014.12.002
  • Borjas, G. (1999). The economic analysis of immigration. In O. C. Ashenfelter & D. Card (Eds.) Handbook of Labor Economics (3A, pp. 1697-1760). Elsevier. https://doi.org/10.1016/S1573- 4463(99)03009-6
  • Chun, Y. (2008). Modeling network autocorrelation within migration flows by eigenvector spatial filtering. Journal of Geographical Systems, 10(4), 317-344.
  • Chun Y., Kim H., & Kim, C. (2012). Modeling interregional commodity flows with incorporating network autocorrelation in spatial interaction models: An application of the US interstate commodity flows. Computers, Environment and Urban Systems, 36(6), 583-591. https://doi.org/10.1016/j.compenvurbsys.2012.04.002
  • Dow, D., & Karunaratna, A. (2006). Developing a multidimensional instrument to measure psychic distance stimuli. Journal of International Business Studies, 37(5), 575-577.
  • Dunlevy, J. A., & Hutchinson, W. K. (1999). The impact of immigration on American import trade in the late nineteenth and early twentieth centuries. The Journal of Economic History, 59(4), 1043- 1062.
  • Feenstra, R. C. (2002). Border effects and the gravity equation: Consistent methods for estimation. Scottish Journal of Political Economy, 49(5), 491-506. https://doi.org/10.1111/1467-9485.00244
  • Feenstra, R. C. (2015). Advanced international trade: theory and evidence. Princeton University Press.
  • Frankel, J., & Romer, D. (1999). Does trade cause growth? American Economic Review, 89, 379-399.
  • Girma, S., & Yu, Z. (2002). The link between immigration and trade: Evidence from the UK. Weltwirtschaftiches Archiv, 138(1), 115-130.
  • Gould, D. M. (1994). Immigrant links to the home country: Empirical implications for United States bilateral trade flows. Review of Economics and Statistics, 76(2), 302-16.
  • Head, K., & Ries, J. (1998). Immigration and trade creation: Econometric evidence from Canada. The Canadian Journal of Economics, 31(1), 47-62.
  • Holmberg, H., Häggström, E., & Lundevaller, H. (2015). A test for robust detection of residual spatial autocorrelation with application to mortality rates in Sweden. Spatial Statistics, 14(Part C), 365- 381. https://doi.org/10.1016/j.spasta.2015.07.001
  • Jayet, H., Ukrayinchuk N., & De Arcangelis, G. (2010). The location of immigrants in Italy: Disentangling networks and local effects. Annales d'Economie et de Statistique, 97/98, 329-350. https://doi.org/10.2307/41219121
  • Jayet, H., Rayp, G., Ruyssen, I., & Ukrayinchuk, N. (2016). Immigrants’ location choice in Belgium. The Annals of Regional Science, 57(1), 63-89. https://doi.org/10.1007/s00168-016-0761-x
  • Le Sage, J., & Pace, R. (2009). Introduction to Spatial Econometrics. CRC Press.
  • Mayda, A. (2010). International migration: a panel data analysis of the determinants of bilateral flows. Journal of Population Economics, 23(4), 1249-1274. https://doi.org/10.1007/s00148-009-0251-x
  • Moreno, I., & López, G. (2006). Los determinantes de la inmigración internacional en España. Investigaciones Regionales, 9, 25-48.
  • Morettini, G., Presbitero, A. F., & Tamberi, M. (2012). Determinants of international migrations to Italian provinces. Economics Bulletin, 32(2), 1604-1617.
  • Mourao, P. R. (2016). Socio-economic determinants for the Portuguese immigration: An empirical discussion. Socio Indicators Research, 125, 955–975. https://doi.org/10.1007/s11205-015-0860-6
  • Neubecker, N., Smolka, M., & Steinbacher, A. (2017). Networks and selection in international migration to Spain. Economic Inquiry, 55(3), 1265-1286. https://doi.org/10.1111/ecin.12427
  • Neumayer, E., & Plümper, T. (2010). Making spatial analysis operational: Commands for generating spatial-effect variables in monadic and dyadic data. The Stata Journal, 10(4), 1–21.
  • Nowotny, K., & Pennerstorfer, D. (2019). Network migration: Do neighbouring regions matter? Regional Studies, 53(1), 107-117. https://doi.org/10.1080/00343404.2017.1380305
  • Peeters, L., & Chasco, C. (2013). Multilateral attractiveness, migration networks, and destination choices of international migrants to the Madrid metropolitan area. Mimeo.
  • Santos Silva, J. M. C., & Tenreyro, S. (2006). The log of gravity. The Review of Economics and Statistics, 88(4), 641-658.
  • Schmidheiny, K., & Brülhart, M. (2011). On the equivalence of location choice models: Conditional logit, nested logit and Poisson. Journal of Urban Economics, 69(2), 214-222. https://doi.org/10.1016/j.jue.2010.09.004
  • Waldorf, B. (1996). The internal dynamic of international migration systems. Environment and Planning A, 28, 631-650. https://doi.org/10.1068/a280631
  • Wilpert, C. (1992). The use of social networks in Turkish migration to Germany. In M. Kritz, L. L. Lim, & H. Zlotnik (Eds.), International migration systems: A global approach. Clarendon Press.
Fuente de los datos: Dialnet