The Multicausal Nature of Immigration: A Systems-Level Scientific Analysis of Global Migration Dynamics

Background: Immigration is a defining global phenomenon shaped by multiple interacting determinants. Traditional monocausal models fail to capture its systemic complexity.
Objective: To develop an integrated analytical framework explaining immigration as a multicausal and adaptive system.
Methods: Narrative synthesis of interdisciplinary migration literature, integrating economic, sociological, political, demographic, and environmental perspectives.
Results: Migration emerges from the interaction of macro-level drivers (e.g., inequality, governance, climate change), meso-level structures (e.g., migrant networks), and micro-level decision-making processes. These interactions generate nonlinear outcomes, feedback loops, and path dependency.
Conclusion: Immigration is best understood as a complex adaptive system. Policy approaches must move beyond single-factor explanations toward integrated, evidence-based strategies

Multicausal Nature , phenomenon , demographic, complexity

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