Risk Management Framework-Guided Identity Verification for K-visa Applications: Focus, Process, and Collaborative Mechanism Construction
Abstract
In the context of increasing globalization and more frequent cross-border flows of international talent, the K-visa serves as a significant institutional arrangement facilitating exchange and cooperation for young international sci-tech talents coming to China. Identity verification constitutes a crucial part of foreign-related governance and is also an essential component of the risk management system. Guided by risk management principles and based on China’s foreign-related management practices, this paper systematically analyzes the focal points, processes, and collaborative mechanisms of K-visa identity verification. It posits that the current key focuses of K-visa identity verification are the authenticity of foreign-related qualifications, identification of cross-border mobility risks, and balancing risk prevention and control with the efficiency of foreign-related services. Existing challenges include insufficient inter-departmental collaboration, poor information communication, and a lack of precision in risk control. Consequently, this paper proposes enhancing the standardization, accuracy, and efficiency of K-visa identity verification by optimizing the entire verification process, establishing cross-departmental foreign-related collaborative mechanisms, and reinforcing both technological and institutional safeguards. This aims to maintain orderly cross-border talent flow and promote China’s high-level opening-up and international exchange and cooperation in sci-tech talent. The research findings can provide theoretical reference and practical guidance for improving China’s foreign-related visa governance system and enhancing its risk management capabilities.
Fields of Study & Subjects
Border Security and International Relations
Immigration Law and Human Rights
China's Socioeconomic Reforms and Governance
Publication details
- Journal / source
- Progress in Social Sciences
- Volume
- 8
- Issue
- 2
- Pages
- 82–85
- Publication date
- 1 January 2026
- Language
- EN