China population and development studies最新文献_第2页

Which month to give a birth? The analysis on birth seasonality of China 应该在哪个月生孩子?中国人口出生季节性分析

China population and development studies Pub Date : 2023-09-01 DOI: 10.1007/s42379-023-00140-5

Cuiling Zhang, Danyin Wang, Xuying Zhang

{"title":"Which month to give a birth? The analysis on birth seasonality of China","authors":"Cuiling Zhang, Danyin Wang, Xuying Zhang","doi":"10.1007/s42379-023-00140-5","DOIUrl":"https://doi.org/10.1007/s42379-023-00140-5","url":null,"abstract":"Abstract A series of medical and biological studies have identified a strong link between the season during which a child is born and early childhood development and adult health. While providing an explanation for the seasonal determinants of birth remains one of the key challenges for demographers, understanding seasonal birth peaks and troughs can inform both public health planning and efforts to prevent childhood diseases. The seasonality of births varies across and within countries. Nonetheless, there has been scant research into the seasonality of births in China. This study takes an in depth look at the seasonal fluctuations in China’s births since 1960 and investigates the effects on seasonality of several key factors such as parity, residence (urban or rural area), and changes to fertility policies. Traditionally, winter has been the peak season of births in China, while spring and summer have been lean seasons, a pattern which is quite different than patterns in Europe and the United States. After 1990, the sweeping implementation of one-child policy and the wider use of modern contraceptives among Chinese women prompted a fundamental shift in the seasonality of births, with the deviation of births from month to month gradually diminishing over time. People's self-control may serve as a key determinant accounting for such seasonal changes. First births exhibit pronounced and steady seasonality, while second and subsequent births follow a vague seasonal pattern, suggesting that later births are more likely affected by self-choice and self-intervention. The analysis also reveals that the monthly distribution pattern of second births experienced a dramatic change following the roll-out of the selective-two-child policy and the Universal Two-child Policy in 2014 and 2016, changes that reflects the adjustments people made to achieve their fertility plans under the new policy.","PeriodicalId":72578,"journal":{"name":"China population and development studies","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135428106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Are the total fertility rates of men and women different at below-replacement levels? An answer obtained from the G7 countries 在低于更替水平的情况下，男性和女性的总生育率是否不同?这是G7国家给出的答案

China population and development studies Pub Date : 2023-09-01 DOI: 10.1007/s42379-023-00141-4

Nan Li

{"title":"Are the total fertility rates of men and women different at below-replacement levels? An answer obtained from the G7 countries","authors":"Nan Li","doi":"10.1007/s42379-023-00141-4","DOIUrl":"https://doi.org/10.1007/s42379-023-00141-4","url":null,"abstract":"Abstract A child is born to a father and a mother. This fact, however, is yet to be recognized by demography, in which fertility refers to women’s natural ability to give birth. The main reason for the absence of men is that data on births are more often available for women than for men. But in the last few decades, data availability has greatly improved. Recent studies show that total fertility rates (TFRs) of men can be calculated for most countries in the world and that the difference between the TFRs of men and women can be quite large. For low-fertility countries, nonetheless, these studies show little difference between the TFRs of men and women, giving rise to the question: Is men’s fertility worth further investigation? To avoid ambiguity in describing a particular difference as small or big, this paper provides a formula for probabilistic TFRs. Using hypothesis test on probabilistic TFRs, we can say that the difference between the TFRs of men and women is statistically significant for all the G7 countries, except for France. To explain the differences between the TFRs of men and women, this study uses models of stable populations and concludes that the one-sex stable population models cannot explain the results whereas a two-sex joint stable population model can do so. By using the two-sex population model, we can explain why the TFR of men in France is almost the same as that of women, and why it is lower than that of women in the other six G7 countries. More specifically, by using the model, we can help explain 76% of the variance in the difference between the TFRs of men and women. Future studies may be able to show that men’s TFR is significantly lower than women’s in other countries too and explain why it is so. The above findings, however, require closer attention and further investigation, because low fertility could lead to socioeconomic problems. Beyond TFRs, extending fertility studies from women to men as well, that is, conducting fertility studies on both women and men, will fundamentally improve our knowledge about fertility age patterns, trends, determinants, policies and other related issues.","PeriodicalId":72578,"journal":{"name":"China population and development studies","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135588142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Family identification of China’s mortality patterns and deviation analysis with model life tables 中国死亡模式的家族识别及模型生命表偏差分析

China population and development studies Pub Date : 2023-09-01 DOI: 10.1007/s42379-023-00142-3

Cheng Li

引用次数: 0

Gendered partner selection among overseas Chinese in the West and the motivations behind it 西方海外华人的性别伴侣选择及其背后的动机

China population and development studies Pub Date : 2023-08-14 DOI: 10.1007/s42379-023-00139-y

Wenlei Shi, J. Lievens

引用次数: 0

Does informal care impact the use of healthcare services in China? Evidence from the perspective of drug utilization 非正规医疗是否会影响中国医疗服务的使用？从药物利用角度看证据

China population and development studies Pub Date : 2023-07-26 DOI: 10.1007/s42379-023-00136-1

Lu Chen, Hongli Fan, Lanlan Chu

引用次数: 0

Correction to: State familism in action: aging policy and intergenerational support in Singapore 更正：国家家庭主义在行动：新加坡的老龄化政策和代际支持

China population and development studies Pub Date : 2023-06-01 DOI: 10.1007/s42379-023-00135-2

Shaohua Zhan, Lingli Huang

引用次数: 0

Demographic ageing, health status and life quality of the elderly in Russia 俄罗斯人口老龄化、老年人健康状况和生活质量

China population and development studies Pub Date : 2023-06-01 DOI: 10.1007/s42379-023-00133-4

A. Ivanova, E. Zemlyanova, T. Sabgayda, V. Semyonova, A. Zubko, I. Kryukova

引用次数: 1

Negative population growth and population ageing in China 中国人口负增长与人口老龄化

China population and development studies Pub Date : 2023-06-01 DOI: 10.1007/s42379-023-00138-z

D. Peng

引用次数: 2

Population aging in China from a multidimensional, comparative perspective 多维比较视角下的中国人口老龄化

China population and development studies Pub Date : 2023-06-01 DOI: 10.1007/s42379-023-00137-0

Stuart A. Gietel-Basten

引用次数: 0

Contributions by age and cause to life expectancy gap between China and South Korea, 1990–2019: a decomposition analysis 1990年至2019年，年龄和原因对中韩预期寿命差距的贡献：分解分析

China population and development studies Pub Date : 2023-06-01 DOI: 10.1007/s42379-023-00134-3

Siying Lyu, Chunyong Chen, G. Marois

引用次数: 2