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Spatially heterogeneous drivers of hukou transfer intentions in China: a geographically weighted logistic regression analysis

Feng Shi (), Weiwei Cao (), Runhua Huang () and Wei Geng ()
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Feng Shi: Southwest Jiaotong University
Weiwei Cao: Civil Aviation Flight University of China
Runhua Huang: Chinese University of Hong Kong, Shenzhen
Wei Geng: Southwest Jiaotong University

The Annals of Regional Science, 2025, vol. 74, issue 2, No 20, 30 pages

Abstract: Abstract Understanding spatial heterogeneity in the factors shaping floating populations’ hukou transfer intentions is vital for fostering social harmony and sustainable urban development in China. Utilizing data from the 2018 China Migrants Dynamic Survey, this study investigates the spatial heterogeneity in the determinants of hukou transfer decisions among migrant individuals and uncovers underlying root causes. Employing GIS spatial analysis, we first identify four representative types of cities exemplifying distinct spatial dependency of settlement intentions. Subsequently, a geographically weighted logistic regression model is employed, revealing three distinct spatial patterns of various factors: the “South–North” pattern (gender, marital status, hukou type, migration distance, administrative scale of migration, PM2.5), the “East–West” pattern (GDP, wage level, educational attainment, population, perceived discrimination, duration of residence), and the locally distinct pattern (age, migrant household size, industrial structure). This study further explores three latent driving mechanisms behind these patterns, rooted in geographical culture, economic development, and location-specific characteristics. By constructing a “Factor-Pattern-Root” (FPR) framework and integrating perspectives from geography and sociology, this study elucidates how and why various factors exert spatially varying effects on hukou transfer intentions of China’s floating population.

JEL-codes: J61 O18 R23 (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s00168-025-01387-1

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