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Focusing on county-level urbanization in Sichuan Province, this book analyzes return migrants' residential choices across three dimensions: Willingness to Return Housing Purchase Behavior Residential Location Preferences Research Focus and Methodology First, based on human capital theory and cost-benefit analysis, the study examines how career opportunities, public service access, and migration costs influence the willingness to return. Second, using spatial analysis and nonlinear models, it explores the effects of economic characteristics and local environments on housing decisions. Third, integrating job-housing integration and family life cycle theories, it investigates returning families' residential preferences and their impact on urbanization. This book is innovative in both approach and method: It integrates multi-level spatial choices across county towns, small towns, and villages to uncover regional differences in migration behavior. By combining spatial differentiation indicators with nonlinear analysis, it reveals how personal traits and environments interact, showing spatial and group differences. The mixed-methods approach blends quantitative analysis with qualitative insights for a comprehensive understanding of return migration. Theoretically, this book enriches migration research by examining residential choices in the context of new urbanization, using large-sample data from China. Practically, it provides evidence for optimizing urbanization policies, enhancing county-level population retention, and improving living conditions for return migrants. The findings offer valuable policy support for advancing county-level urbanization and rural-urban integration in western China.
Info autore
Yaou Zhang
is a lecturer in the Department of Environmental Design, College of Art and Media at Sichuan Agricultural University. She holds a Ph.D. in Urban Planning and Design, with a research focus on population mobility and urbanization. She also holds a master’s degree from Southwest Jiaotong University and has extensive experience in both teaching and academic research.
Her work primarily explores tourism planning in the context of urbanization, the characteristics of slow tourism in ancient towns, and strategies for identifying and redesigning traditional village landscapes. She has published related research in various academic journals and continues to advance inquiry in urban planning and landscape design.
Her research not only contributes theoretical insights into tourism development amid urbanization but also proposes innovative strategies for the preservation and renewal of traditional villages.
Dongsheng Huang
is a professor at the School of Architecture and Design, Nanchang University. He is recognized as a Class-D High-Level Talent of Jiangxi Province and a reserve candidate for academic and technical leadership in Sichuan Province. In recent years, he has led two projects funded by the National Social Science Foundation of China, one project supported by the Ministry of Education's Social Science Foundation, and five other provincial or ministerial-level research projects. He has published two academic monographs and co-authored two additional scholarly books.
Riassunto
Focusing on county-level urbanization in Sichuan Province, this book analyzes return migrants’ residential choices across three dimensions: Willingness to Return Housing Purchase Behavior Residential Location Preferences Research Focus and Methodology First, based on human capital theory and cost-benefit analysis, the study examines how career opportunities, public service access, and migration costs influence the willingness to return. Second, using spatial analysis and nonlinear models, it explores the effects of economic characteristics and local environments on housing decisions. Third, integrating job-housing integration and family life cycle theories, it investigates returning families' residential preferences and their impact on urbanization. This book is innovative in both approach and method: It integrates multi-level spatial choices across county towns, small towns, and villages to uncover regional differences in migration behavior. By combining spatial differentiation indicators with nonlinear analysis, it reveals how personal traits and environments interact, showing spatial and group differences. The mixed-methods approach blends quantitative analysis with qualitative insights for a comprehensive understanding of return migration. Theoretically, this book enriches migration research by examining residential choices in the context of new urbanization, using large-sample data from China. Practically, it provides evidence for optimizing urbanization policies, enhancing county-level population retention, and improving living conditions for return migrants. The findings offer valuable policy support for advancing county-level urbanization and rural-urban integration in western China.
