FROM BORDER CONTROL TO POLICY INNOVATION: RETHINKING IMMIGRATION THROUGH THE SELECTIVE RISK-BASED RESILIENCE FRAMEWORK IN INDONESIA
FROM BORDER CONTROL TO POLICY INNOVATION: RETHINKING IMMIGRATION THROUGH THE SELECTIVE RISK-BASED RESILIENCE FRAMEWORK IN INDONESIA
Author(s): Agung Sulistyo Purnomo, Margaretha Hanita, David Ronald Tairas, Susy OngSubject(s): Politics / Political Sciences, Social Sciences, Governance, Security and defense, Management and complex organizations, Migration Studies, Asylum, Refugees, Migration as Policy-fields
Published by: Mykolas Romeris University
Keywords: Selective Risk-Based Resilience; SRBR; immigration governance; public policy; administrative reform; human security;
Summary/Abstract: This article introduces the Selective Risk-Based Resilience (SRBR) framework as a critical and context-sensitive approach to immigration governance in the Global South, with Indonesia, specifically Bali, as a key case. Rooted in theories of biopolitics, securitization, and postcolonial bordering, SRBR explains how the state regulates foreign mobility not merely through legal enforcement but through cultural values, moral narratives, and selective risk classification. Drawing on critical discourse analysis of government documents, media coverage, and interviews with immigration officials, the study uncovers how migration control in Bali operates as a mechanism to maintain institutional legitimacy and cultural identity amid limited administrative capacity. Beyond its theoretical contribution, this study highlights how SRBR can inform more adaptive and locally grounded public policies. It offers practical insights for policymakers to develop selective visa regimes, enhance community-based monitoring, and align immigration governance with public values. In this way, SRBR supports a more balanced model of migration management that respects both national resilience and human security and has the potential to be applicable across the Global South.
Journal: Viešoji politika ir administravimas
- Issue Year: 24/2025
- Issue No: 4
- Page Range: 634-650
- Page Count: 17
- Language: English
