Global bilateral migration projections accounting for diasporas, transit and return flows, and poverty constraints
- BACKGROUND
Anticipating changes in international migration patterns is useful for demographic studies and for designing policies that support the well-being of those involved. Existing forecasting methods do not account for a number of stylized facts that emerge from large-scale migration observations and theories: existing migrant communities - diasporas - act to lower migration costs and thereby provide a mechanism of self-amplification; return migration and transit migration are important components of global migration flows; and poverty constrains emigration.
OBJECTIVE
Here we present hindcasts and future projections of international migration that explicitly account for these nonlinear features.
METHODS
We develop a dynamic model that simulates migration flows by origin, destination, and place of birth. We calibrate the model using recently constructed global datasets of bilateral migration.
RESULTS
We show that the model reproduces past patterns and trends well based only on initial migrant stocks and changes inBACKGROUND
Anticipating changes in international migration patterns is useful for demographic studies and for designing policies that support the well-being of those involved. Existing forecasting methods do not account for a number of stylized facts that emerge from large-scale migration observations and theories: existing migrant communities - diasporas - act to lower migration costs and thereby provide a mechanism of self-amplification; return migration and transit migration are important components of global migration flows; and poverty constrains emigration.
OBJECTIVE
Here we present hindcasts and future projections of international migration that explicitly account for these nonlinear features.
METHODS
We develop a dynamic model that simulates migration flows by origin, destination, and place of birth. We calibrate the model using recently constructed global datasets of bilateral migration.
RESULTS
We show that the model reproduces past patterns and trends well based only on initial migrant stocks and changes in national incomes. We then project migration flows under future scenarios of global socioeconomic development.
CONCLUSIONS
Different assumptions about income levels and between-country inequality lead to markedly different migration trajectories, with migration flows either converging towards net zero if incomes in presently poor countries catch up with the rest of the world; or remaining high or even rising throughout the 21st century if economic development is slower and more unequal. Importantly, diasporas induce significant inertia and sizable return migration flows.…
Verfasserangaben: | Albano RikaniORCiDGND, Jacob ScheweORCiDGND |
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DOI: | https://doi.org/10.4054/DemRes.2021.45.4 |
ISSN: | 2363-7064 |
Titel des übergeordneten Werks (Englisch): | Demographic research |
Verlag: | Max Planck Inst. for Demographic Research |
Verlagsort: | Rostock |
Publikationstyp: | Wissenschaftlicher Artikel |
Sprache: | Englisch |
Datum der Erstveröffentlichung: | 08.07.2021 |
Erscheinungsjahr: | 2021 |
Datum der Freischaltung: | 02.10.2023 |
Freies Schlagwort / Tag: | diaspora; international migration; migration transition; return migration; simulation model; transit migration |
Band: | 45 |
Seitenanzahl: | 54 |
Erste Seite: | 87 |
Letzte Seite: | 140 |
Fördernde Institution: | Leibniz Competition [K36/2017 IMPETUS]; European Union Horizon 2020 programme (FUME); ERA4CS Joint Call on Researching and Advancing Climate Services (ISIpedia, BMBF)Federal Ministry of Education & Research (BMBF) [01LS1711A] |
Organisationseinheiten: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie |
DDC-Klassifikation: | 3 Sozialwissenschaften / 30 Sozialwissenschaften, Soziologie / 300 Sozialwissenschaften |
3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft | |
Peer Review: | Referiert |
Publikationsweg: | Open Access / Gold Open-Access |
Lizenz (Deutsch): | ![]() |