Historical Patterns of Regional Population Migration in China: A Novel Surname‐Based Analysis

Key Points

• This research aims to explore regional historical migration patterns in China using a surname-based approach.
• Utilized the GNCurve method to analyze surname data
• Investigated geographical and socioeconomic influences on migration
• Examined historical patterns over time
• Identified distinct regional migration patterns influenced by historical events
• Revealed connections between surname distribution and population structure
• Demonstrated applicability of GNCurve for other countries' migration studies

Abstract