研究：31省生育友好指数排名公布，云南为何位列第一？

Core Viewpoint - The article discusses the construction and measurement of a "Fertility-Friendly Index" to evaluate the fertility-friendly environment across 31 provinces in China, providing a quantitative assessment for policymakers [3][4]. Group 1: Fertility-Friendly Index Construction - The research team developed the index based on three core dimensions: "Willingness to Give Birth," "Good Birth Experience," and "Affordability of Raising Children," which includes 17 specific indicators [3][5]. - The index aims to provide a measurable reference for policymakers to understand the current state of building a fertility-friendly society in China [3]. Group 2: Key Indicators - "Fertility Status" includes total fertility rate, sex ratio at birth, average age of first childbirth, maternal mortality rate, and low birth weight rate [4]. - "Fertility Security" focuses on the conditions for a good birth experience, with indicators related to maternal and child healthcare [4]. - "Fertility Support" addresses the affordability of raising children, including paid maternity leave, childcare availability, and economic support measures [5][8]. Group 3: Regional Analysis - The overall national fertility-friendly index score is 82.73, indicating a medium-low level, with significant regional disparities [5][6]. - Yunnan province scored the highest at 92.95, excelling in key indicators such as sex ratio and average age of first childbirth, while Tibet scored the lowest due to high maternal mortality and low childcare availability [6][7]. - Economic development does not necessarily correlate with a higher fertility-friendly index, as seen in regions like Beijing and Guangdong, which scored lower despite their economic status [7][9]. Group 4: Policy Implications - The study highlights the need for a comprehensive approach to support fertility, suggesting that regions with strong support systems do not always translate to better fertility outcomes [10]. - Recommendations include enhancing monitoring of fertility conditions, improving support systems, and tailoring policies to local needs to create a more diverse fertility-friendly environment [10].