Translating migration theory into empirical propositions

The document argues that while a 'grand theory' of migration does not exist, researchers can use 'theoretical triangulation' to formulate testable propositions. It presents ten such propositions covering the roles of pre-existing connections, social networks, involuntary immobility, resource constraints, environmental stress, violent conflict, economic development, development aid, and the effectiveness and unintended consequences of migration policies.

• International migration flows are heavily influenced by long-standing pre-existing connections, including colonial history, trade, linguistic or ethno-cultural commonalities, and geographic proximity.
• Migration can become self-sustaining through 'chain migration,' where social networks of kinship or co-ethnics facilitate subsequent flows, often starting with 'pioneer migration' by elites.
• The number of 'involuntary non-migrants'—people who wish to migrate but lack the ability—is estimated to be at least twice the number of actual international migrants worldwide.
• A migrant's available resources directly correlate with the distance, duration, and complexity of their journey; those with fewer resources often undertake more fragmented and unpredictable trajectories.
• Environmental stress and climate change bifurcate populations: while some are mobilised to migrate, the most impoverished often become 'trapped' due to a lack of resources to move.
• Violent conflict typically triggers short-distance migration to neighbouring countries, which absorb 80-90% of refugees, though some may later engage in geographically dispersed secondary migration.
• There is an inverted U-shaped relationship between economic development and emigration, where emigration rises as national income increases in low- and lower-middle-income countries, peaking at a per capita purchasing power of approximately 7,000–8,000 USD before falling.
• Development aid may deter emigration through several mechanisms, such as improving public services (opportunity cost) or through policy leverage (readmission agreements), though its overall effectiveness is contested.
• Migration policies are often ineffective on their own because their success depends on a broader mix of economic and social factors, and restrictive policies frequently produce unintended externalities.
• Restrictive migration policies can lead to unintended consequences, such as diverting migrants to alternative destinations, pushing them toward illegal routes, or altering the timing of migration.

APA

Carling, J., Czaika, M., & Erdal, M. B. (2020). Translating migration theory into empirical propositions. Peace Research Institute Oslo. https://cdn.cloud.prio.org/files/6f90932f-44e8-4435-8588-9b3f11dc5b64/Carling et al 2020 Translating migration theory into empirical propositions.pdf?inline=true

Chicago

Carling, Jørgen, Mathias Czaika, and Marta Bivand Erdal. Translating migration theory into empirical propositions. Peace Research Institute Oslo, 2020. https://cdn.cloud.prio.org/files/6f90932f-44e8-4435-8588-9b3f11dc5b64/Carling et al 2020 Translating migration theory into empirical propositions.pdf?inline=true.

Wikipedia

{{cite report |last1=Carling |first1=Jørgen |last2=Czaika |first2=Mathias |last3=Erdal |first3=Marta Bivand |title=Translating migration theory into empirical propositions |publisher=Peace Research Institute Oslo |date=30 October 2020 |url=https://cdn.cloud.prio.org/files/6f90932f-44e8-4435-8588-9b3f11dc5b64/Carling et al 2020 Translating migration theory into empirical propositions.pdf?inline=true |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{carling2020translating, author = {Carling, Jørgen and Czaika, Mathias and Erdal, Marta Bivand}, title = {{Translating migration theory into empirical propositions}}, institution = {Peace Research Institute Oslo}, year = {2020}, month = oct, url = {https://cdn.cloud.prio.org/files/6f90932f-44e8-4435-8588-9b3f11dc5b64/Carling et al 2020 Translating migration theory into empirical propositions.pdf?inline=true}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }