Core Insights - The book "Urbanization and Fertility Rate: An Empirical Analysis Based on China" explores the relationship between urbanization and fertility rates, focusing on China's transition and low fertility rates, providing new perspectives for high-quality urbanization and addressing low fertility traps [1][4] Summary by Sections Theoretical and Empirical Analysis - The research integrates economic, social, cultural, and environmental factors into a unified framework to analyze the impact on fertility intentions, addressing gaps in existing literature that often focus on single dimensions [2] - The book employs mechanism analysis, mathematical modeling, and empirical testing to examine how urbanization affects fertility intentions across different regions and demographics, offering new insights into the causes of low fertility rates in China [2] Key Findings - A "U"-shaped relationship exists between urbanization levels and fertility rates, where low urbanization leads to declining fertility due to neglect of social issues like healthcare and education, while high-quality urbanization enhances fertility through improved living conditions [3] - Urban residents exhibit lower fertility intentions compared to rural residents, with a decreasing trend in the desire for multiple births, particularly among middle to high childbearing age groups and low-income populations in eastern regions [3] - The impact of urbanization on fertility intentions varies between local and external urbanization models, with higher income levels promoting fertility intentions across both models [3] - A "reverse S" relationship is observed between urban welfare and fertility intentions, indicating that improvements in welfare in medium and low-tier cities can enhance perceived quality of life and security, thereby increasing fertility intentions [3] - Cities with higher economic welfare and developed tertiary industries show a greater willingness to have more children, while manufacturing agglomeration exhibits a threshold effect where transportation costs inversely affect fertility rates beyond a certain level of industrial concentration [3]