Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-19T10:58:18.665Z Has data issue: false hasContentIssue false

The geography of climate migration

Published online by Cambridge University Press:  29 March 2021

Michał Burzyński
Affiliation:
LISER, Luxembourg Institute of Socio-Economic Research, Esch-sur-Alzette, Luxembourg
Frédéric Docquier*
Affiliation:
LISER, Luxembourg Institute of Socio-Economic Research, Esch-sur-Alzette, Luxembourg
Hendrik Scheewel
Affiliation:
Université de Liège and IRES, UCLouvain, Liège, Belgium
*
*Corresponding author. E-mail: [email protected]
Get access

Abstract

In this paper, we investigate the long-term effects of climate change on the mobility of working-age people. We use a world economy model that covers almost all the countries around the world, and distinguishes between rural and urban regions as well as between flooded and unflooded areas. The model is calibrated to match international and internal mobility data by education level for the last 30 years, and is then simulated under climate change variants. We endogenize the size, dyadic, and skill structure of climate migration. When considering moderate climate scenarios, we predict mobility responses in the range of 70–108 million workers over the course of the twenty-first century. Most of these movements are local or inter-regional. South–South international migration responses are smaller, while the South–North migration response is of the “brain drain” type and induces a permanent increase in the number of foreigners in OECD countries in the range of 6–9% only. Changes in the sea level mainly translate into forced local movements. By contrast, inter-regional and international movements are sensitive to temperature-related changes in productivity. Lastly, we show that relaxing international migration restrictions may exacerbate the poverty effect of climate change at origin if policymakers are unable to select/screen individuals in extreme poverty.

Type
Research Paper
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press in association with Université catholique de Louvain

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Acemoglu, D. (2002) Technical change, inequality, and the labor market. Journal of Economic Literature 40(1), 772.CrossRefGoogle Scholar
Backhaus, A., Martinez-Zarzoso, I. and Muris, C. (2015) Do climate variations explain bilateral migration? A gravity model analysis. IZA Journal of Migration 4(1), 3.CrossRefGoogle Scholar
Balk, D., Deichmann, U., Yetman, G., Pozzi, F., Hay, S. and Nelson, A. (2006). Determining Global Population Distribution: Methods, Applications and Data (Vol. 62). Adv Parasitol 62,119–156.Google ScholarPubMed
Barrios, S., Bertinelli, L. and Strobl, E. (2006) Climatic change and rural–urban migration: the case of sub-Saharan Africa. Journal of Urban Economics 60(3), 357371.CrossRefGoogle Scholar
Beine, M. and Parsons, C. (2015) Climatic factors as determinants of international migration. The Scandinavian Journal of Economics 117(2), 723767.CrossRefGoogle Scholar
Berlemann, M. and Steinhardt, M. F. (2017) Climate change, natural disasters, and migration—A survey of the empirical evidence. CESifo Economic Studies 63(4), 353385.CrossRefGoogle Scholar
Bertoli, S. and Fernández-Huertas Moraga, J. (2013) Multilateral resistance to migration. Journal of Development Economics 102, 79100.CrossRefGoogle Scholar
Biavaschi, C., Burzyński, M., Elsner, B. and Machado, J. (2020). Taking the skill bias out of global migration. Journal of Development Economics, forthcoming, 142C, 102317.CrossRefGoogle Scholar
Black, R., Arnell, N. W., Adger, W. N., Thomas, D. and Geddes, A. (2013) Migration, immobility and displacement outcomes following extreme events. Environmental Science & Policy 27, S32S43.CrossRefGoogle Scholar
Black, R., Bennett, S. R., Thomas, S. M. and Beddington, J. R. (2011) Climate change: migration as adaptation. Nature 478(7370), 447.CrossRefGoogle ScholarPubMed
Boppart, T. (2014) Structural change and the Kaldor facts in a growth model with relative price effects and non-Gorman preferences. Econometrica 82(6), 21672196.CrossRefGoogle Scholar
Burzyński, M., Deuster, C. and Docquier, F. (2020) Geography of skills and global inequality. Journal of Development Economics 142C, 102333.CrossRefGoogle Scholar
Burzyński, M., Deuster, C., Docquier, F. and de Melo, J. (2019) Climate change inequality, and human migration. CEPR Discussion Papers, 13997.Google Scholar
Cai, R., Feng, S., Oppenheimer, M. and Pytlikova, M. (2016) Climate variability and international migration: the importance of the agricultural linkage. Journal of Environmental Economics and Management 79, 135151.CrossRefGoogle Scholar
Cattaneo, C., Beine, M., Fröhlich, C. J., Kniveton, D., Martinez-Zarzoso, I., Mastrorillo, M., K. Millock, E. Piguet and Schraven, B. (2019) Human migration in the era of climate change. Review of Environmental Economics and Policy 13(2), 189206.CrossRefGoogle Scholar
CIESIN-Columbia University. (2018).Google Scholar
Coniglio, N. D. and Pesce, G. (2015) Climate variability and international migration: an empirical analysis. Environment and Development Economics 20(4), 434468.CrossRefGoogle Scholar
Dallmann, I. and Millock, K. (2017) Climate variability and inter-state migration in India. CESifo Economic Studies 63(4), 560594.CrossRefGoogle Scholar
Dao, T., Docquier, F., Maurel, M. and Schaus, P. (2018) Global migration in the 20th and 21st centuries: the Unstoppable Force of Demography. FERDI Working Paper 223.Google Scholar
Dell, M., Jones, B. F. and Olken, B. A. (2012) Temperature shocks and economic growth: evidence from the last half century. American Economic Journal: Macroeconomics 4(3), 6695.Google Scholar
Dell, M., Jones, B. F. and Olken, B. A. (2014) What do we learn from the weather? The new climate-economy literature. Journal of Economic Literature 52(3), 740798.CrossRefGoogle Scholar
Delogu, M., Docquier, F. and Machado, J. (2018) Globalizing labor and the world economy: the role of human capital. Journal of Economic Growth 23(2), 223258.CrossRefGoogle Scholar
Desmet, K., Nagy, D. K. and Rossi-Hansberg, E. (2018) The geography of development. Journal of Political Economy 126(3), 903983.CrossRefGoogle Scholar
Desmet, K. and Rossi-Hansberg, E. (2015) On the spatial economic impact of global warming. Journal of Urban Economics 88, 1637.CrossRefGoogle Scholar
Docquier, F., Machado, J. and Sekkat, K. (2015) Efficiency gains from liberalizing labor mobility. Scandinavian Journal of Economics 117(2), 303346.CrossRefGoogle Scholar
Fiala, N (2015) Economic consequences of forced displacement. The Journal of Development Studies 51(10), 12751293.CrossRefGoogle Scholar
Giorgetta, M., Jungclaus, J., Reick, C., Legutke, S., Badedr, R., Bottinger, M., Brovkin, V., Crueger, T., Esch, M., Fieg, K., Glushak, K., Gayler, V., Haak, H., Hollweg, H. D., Ilyina, T., Kinne, S., Kornblueh, L., Matei, D., Mauritsen, T., Mikolajewicz, U., Müller, W., Notz, D., Pithan, F., Raddatz, T., Rast, S., Redler, R., Roeckner, E., Salzmann, M., Schmidt, H., Schnur, R., Segschneider, J., Six, K., Stockhause, M., Timmreck, C., Wegner, J., Widmann, H., Wieners, K. H., Claussen, M., Marotzke, J. and Stevens, B. (2013) Climate and carbon cycle changes from 1850 to 2100 in MPI‐ESM simulations for the Coupled Model Intercomparison Project phase 5. Journal of Advances in Modeling Earth Systems 5(3), 572-597.CrossRefGoogle Scholar
Giorgetta, M., Jungclaus, J., Reick, C., Legutke, S., Brovkin, V., Crueger, T., Esch, M., Fieg, K., Glushak, K., Gayler, V., Haak, H., Hollweg, H. D., Kinne, S., Kornblueh, L., Matei, D., Mauritsen, T., Thorsten, M., Mikolajewicz, U., Müller, W., Notz, D., Raddatz, T., Rast, S., Roeckner, E., Salzmann, M., Schmidt, H., Schnur, R., Segschneider, J., Six, K., Stockhause, M., Wegner, J., Widmann, H., Wieners, K. H., Claussen, M., Marotzke, J. and Stevens, B. (2012) CMIP5 simulations of the Max Planck Institute for Meteorology (MPI-M) based on the MPI-ESM-LR model. WDCC at DKRZ, Max Planck Institute for Meteorology: Hamburg.Google Scholar
Gollin, D., Lagakos, D. and Waugh, M. E. (2014) The agricultural productivity gap. The Quarterly Journal of Economics 129(2), 939993.CrossRefGoogle Scholar
Henderson, J. V., Storeygard, A. and Deichmann, U. (2017) Has climate change driven urbanization in Africa? Journal of Development Economics 124, 6082.CrossRefGoogle ScholarPubMed
Ibáñez, A. M. and Moya, A. (2006). The impact of intra-state conflict on economic welfare and consumption smoothing: empirical evidence for the displaced population in Colombia. Available at SSRN 1392415.CrossRefGoogle Scholar
Kellenberg, D. and Mobarak, A. M. (2011) The economics of natural disasters. Annual Review of Resource Economics 3(1), 297312.CrossRefGoogle Scholar
Kennan, J. (2013) Open borders. Review of Economic Dynamics 16(2), L1L13.CrossRefGoogle Scholar
Klein, P. and Ventura, G. (2009) Productivity differences and the dynamic effects of labor movements. Journal of Monetary Economics 56(8), 10591073.CrossRefGoogle Scholar
Kubik, Z. and Maurel, M. (2016) Weather shocks, agricultural production and migration: evidence from Tanzania. The Journal of Development Studies 52(5), 665680.CrossRefGoogle Scholar
Lucas, R. E. (1988) On the mechanics of economic development. Journal of Monetary Economics 22(1), 342.CrossRefGoogle Scholar
Lucas, R. E. (2009) Trade and the diffusion of the industrial revolution. American Economic Journal: Macroeconomics 1(1), 125.Google Scholar
Marchiori, L., Maystadt, J.-F. and Schumacher, I. (2012) The impact of weather anomalies on migration in sub-Saharan Africa. Journal of Environmental Economics and Management 63(3), 355374.CrossRefGoogle Scholar
Marchiori, L., Maystadt, J.-F. and Schumacher, I. (2017) Is environmentally induced income variability a driver of human migration? Migration and Development 6(1), 3359.CrossRefGoogle Scholar
McFadden, D. L. (1974) Conditional logit analysis of qualitative choice behavior. In Zarembka, P. (ed.), Frontiers in Econometrics. New York, NY: Academic Press, pp. 105142.Google Scholar
Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., van Vuuren, D. P., Carter, T. R., Emori, S., Kainuma, M., Kram, T., Meehl, G. A., Mitchell, J. F. B., Nakicenovic, N., Riahi, K., Smith, S. J., Stouffer, R. J., Thomson, A. M., Weyant, J. P. and Wilbanks, T. J. (2010) The next generation of scenarios for climate change research and assessment. Nature, 463(7282), 747756.CrossRefGoogle ScholarPubMed
Oppenheimer, M., Glavovic, B. C., Hinkel, J., van de Wal, R., Magnan, A. K., Abd-Elgawad, A., Cai, R., Cifuentes-Jara, M., DeConto, R. M., Ghosh, T., Hay, J., Isla, F., Marzeion, B., Meyssignac, B. and Sebesvari, Z. (2019) Sea level rise and implications for low lying islands, coasts and communities. The Intergovernmental Panel on Climate Change. in: Pörtner, H.-O. et al. (eds), IPCC Special Report on the Ocean and Cryosphere in a Changing Climate, Cambridge University Press, Cambridge, UK.Google Scholar
Ottaviano, G. I. and Peri, G. (2012) Rethinking the effect of immigration on wages. Journal of the European Economic Association 10(1), 152197.CrossRefGoogle Scholar
Perch-Nielsen, S. L., Bättig, M. B. and Imboden, D. (2008) Exploring the link between climate change and migration. Climatic Change 91(3–4), 375.CrossRefGoogle Scholar
Piguet, E., Pécoud, A. and De Guchteneire, P. (2011) Migration and climate change: an overview. Refugee Survey Quarterly 30(3), 123.CrossRefGoogle Scholar
Restuccia, D. and Vandenbroucke, G. (2013) The evolution of education: a macroeconomic analysis. International Economic Review 54(3), 915936.CrossRefGoogle Scholar
Rigaud, K. K., de Sherbinin, A., Jones, B., Bergmann, J., Clement, V., Ober, K., Schewe, J., Adamo, S., McCusker, B., Heuser, A. and Midgley, A. (2018) Groundswell: Preparing for Internal Cimate Migration. Washington, DC: World Bank.CrossRefGoogle Scholar
Shayegh, S. (2017) Outward migration may alter population dynamics and income inequality. Nature Climate Change 7(11), 828.CrossRefGoogle Scholar
Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V. and Midgley, P. M. (2014) Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of Ipcc the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge: UK and NY.Google Scholar
Stumpf, R. (2012) Distance to nearest coastline: 0.01-degree grid: Land. NASA Goddard Space Flight Center (GSFC) Ocean Color Group. Retrieved 2020-09-30. https://oceancolor.gsfc.nasa.gov/docs/distfromcoast/Google Scholar
Tadono, T., Ishida, H., Oda, F., Naito, S., Minakawa, K. and Iwamoto, H. (2014) Precise global DEM generation by ALOS PRISM. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, II-4, 7176. http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-4/71/2014/ doi: 10.5194/isprsannals-II-4-71-2014CrossRefGoogle Scholar
Taylor, K. E., Stouffer, R. J. and Meehl, G. A. (2012) An overview of CMIP5 and the experiment design. Bulletin of the American Meteorological Society 93(4), 485498.CrossRefGoogle Scholar
Vollrath, D. (2009) How important are dual economy effects for aggregate productivity? Journal of Development Economics 88(2), 325334.CrossRefGoogle ScholarPubMed
Young, A. (2013) Inequality, the urban-rural gap, and migration. The Quarterly Journal of Economics 128(4), 17271785.CrossRefGoogle Scholar