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This edited volume will take an expansive view of the "publicness" of both the policies and the effects related to migration, immigration, and refugees. It will include examinations of international systemic factors and local economic factors. Because migration governance varies geographically, the book will be organized by region. It will include chapters on Africa; Australia; New Zealand and the Pacific Islands; Europe; North America; and SouthAmerica. The book will be focused on how public goods theory provides deep understanding of the factors that affect migration governance and on how understanding the public goods nature of migration governance can help develop effective policies for addressing these problems.
List of contents
Chapter 1- Introduction.- Chapter 2. Public Goods Theory and Migration.- Chapter 3. Forced Migration in Europe.- Chapter 4. Common Goods or Common Curse: A Common Public Goods Approach to the Venezuelan Exodus.- Chapter 5. The Australian-New Zealand Pacific Migration Governance System as a Regional Public Good.- Chapter 6. The Free Movement of Refugees in Africa.- Chapter 7. Migration and North American Integration.- Chapter 8. Conclusions: Regional and Global Coordination of Migration and Refugee Policy.
About the author
Diego Caballero-Vélez is a post-doctoral researcher at the University of Messina. He received his PhD at the Sant’Anna School of Advanced Studies and has spent visiting periods at the University of Oxford, the European University Institute and the SGH Warsaw School of Economics. His research focuses mainly on international migration governance, political economy, and EU foreign policy.
James C. Roberts, Professor Emeritus, is retired from 39 years of teaching and research at Towson University in Towson Maryland USA and American University in Washington DC USA. He received his Ph.D. from the School of International Service at American University. His fields of expertise include international political economy, international relations theory, research methods, and rational choice modeling.
