Spatial Demography最新文献

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Local Variation in Gendered Family Policy Use: Evidence of Local Gender Contracts? 性别家庭政策使用的地方差异:地方性别契约的证据?
IF 1.9
Spatial Demography Pub Date : 2021-03-17 DOI: 10.1007/s40980-021-00082-x
Karen Haandrikman, Ann-Zofie Duvander, Natasha A. Webster
{"title":"Local Variation in Gendered Family Policy Use: Evidence of Local Gender Contracts?","authors":"Karen Haandrikman, Ann-Zofie Duvander, Natasha A. Webster","doi":"10.1007/s40980-021-00082-x","DOIUrl":"https://doi.org/10.1007/s40980-021-00082-x","url":null,"abstract":"<p>A central and unique part of Sweden’s family policy programme is care leave that working parents can use when children are sick and cannot attend (pre)school. The gender-equal policy entails that parents may divide the leave as they see fit. However, mothers and fathers do not share care leave equally and care leave patterns may vary geographically. The aim of this paper is to examine the interaction between gendered care leave and geographical context using the theory of gender contracts. We ask how geographical variation in fathers’ share of care leave varies by scale, and how both individual factors and geographical determinants, representing local gender contracts, are associated with fathers’ share of care leave. Distinctive from previous work, we use geocoded full-population register data and individualized neighbourhoods at multiple scales in order to be able to better measure contextual effects on care leave use. We find substantial spatial variation in fathers’ share of care leave, with clustering depending on scale level. Using the nearest 200 fathers with young children, a factor analysis summarizes local gender contracts into three factors labelled as elite, marginalization and private sector. Results show that especially living in local gender contract areas identified as “marginalized” positively affects fathers’ share of care leave. Living in the most segregated neighbourhoods has substantial effects on fathers’ share of care leave, but overall, neighbourhood effects are moderate. A gender contract perspective shows negotiations resulting from locally clustered gendered norms and relative resources between partners influence who stays home with sick children.</p>","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138510185","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: 1
Correction to: Population Grids for Analysing Long-Term Change in Ethnic Diversity and Segregation 修正:用于分析种族多样性和种族隔离长期变化的人口网格
IF 1.9
Spatial Demography Pub Date : 2021-02-08 DOI: 10.1007/s40980-021-00077-8
Gemma Catney, Christopher D. Lloyd
{"title":"Correction to: Population Grids for Analysing Long-Term Change in Ethnic Diversity and Segregation","authors":"Gemma Catney, Christopher D. Lloyd","doi":"10.1007/s40980-021-00077-8","DOIUrl":"https://doi.org/10.1007/s40980-021-00077-8","url":null,"abstract":"<p>At production stage, a misunderstanding about the presentation of Table 1b occurred. </p>","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138510169","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
Exploring Spatial Variations, Trend and Effect of Exposure to Media as an Enhancer to Uptake of Modern Family Planning Methods: Evidence from 2003 to 2018 Nigeria Demographic Health Survey 探索媒体对现代计划生育方法的影响:2003年至2018年尼日利亚人口健康调查的证据
IF 1.9
Spatial Demography Pub Date : 2021-02-05 DOI: 10.1007/s40980-021-00080-z
S. Adebayo, E. Gayawan
{"title":"Exploring Spatial Variations, Trend and Effect of Exposure to Media as an Enhancer to Uptake of Modern Family Planning Methods: Evidence from 2003 to 2018 Nigeria Demographic Health Survey","authors":"S. Adebayo, E. Gayawan","doi":"10.1007/s40980-021-00080-z","DOIUrl":"https://doi.org/10.1007/s40980-021-00080-z","url":null,"abstract":"","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-021-00080-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44205215","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: 1
Extreme Heat Related Mortality: Spatial Patterns and Determinants in the United States, 1979–2011 极端高温相关死亡率:1979-2011年美国的空间格局和决定因素
IF 1.9
Spatial Demography Pub Date : 2021-02-03 DOI: 10.1007/s40980-021-00079-6
Bryan Jones, Gillian Dunn, D. Balk
{"title":"Extreme Heat Related Mortality: Spatial Patterns and Determinants in the United States, 1979–2011","authors":"Bryan Jones, Gillian Dunn, D. Balk","doi":"10.1007/s40980-021-00079-6","DOIUrl":"https://doi.org/10.1007/s40980-021-00079-6","url":null,"abstract":"","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-021-00079-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"53018323","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: 5
Modelling determinants of geographical Patterns in the Marital Statuses of Women in Nigeria 尼日利亚妇女婚姻状况地理格局的建模决定因素
IF 1.9
Spatial Demography Pub Date : 2021-02-03 DOI: 10.1007/s40980-020-00072-5
Dorothy N. Ononokpono, Olukemi G. Adebola , Ezra Gayawan , Adeniyi F. Fagbamigbe
{"title":"Modelling determinants of geographical Patterns in the Marital Statuses of Women in Nigeria","authors":"Dorothy N. Ononokpono, Olukemi G. Adebola , Ezra Gayawan , Adeniyi F. Fagbamigbe","doi":"10.1007/s40980-020-00072-5","DOIUrl":"https://doi.org/10.1007/s40980-020-00072-5","url":null,"abstract":"<p>Marriage is an important social, cultural, and biological aspect of human life but is often affected by societal changes leading to differences in family formation and reproductive behaviour. Changes in marital patterns are component of transformations in a society’s social structure. Variations in marriage patterns exist within and across countries and over time. We examine the trends and spatial patterns of marital statuses among women of reproductive age (15–49 years) in Nigeria and further determine the associated factors based on the country’s north–south divide. Data were sourced from the Nigeria demographic and health survey conducted in 2003, 2008, 2013, and 2018, and the marital patterns were classified into four categories: never married, married, cohabiting, and formerly married. A Bayesian multinomial spatial model that simultaneously estimates parameters of different forms through a geo-additive predictor was adopted, and inference was based on Markov chain Monte Carlo. Findings reveal a north–south divide in marriage patterns. Women in the northern part of the country have a higher likelihood of being in marital union, while those in the south have a higher likelihood of cohabitation. A somewhat east–west divide was obtained for formerly married. Religion and ethnicity were found to be the major factors that account for differences in marital patterns across the divide and based on rural and urban residency. Cultural practices dictated by these variables would, therefore, continue to shape marital patterns and, by extension, fertility in Nigeria. The factors are hence important to be considered in marriage related policy formulation.</p>","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138510166","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: 5
Comparative Spatial Segregation Analytics 比较空间隔离分析
IF 1.9
Spatial Demography Pub Date : 2021-01-24 DOI: 10.1007/s40980-021-00075-w
S. Rey, R. Cortes, Elijah Knaap
{"title":"Comparative Spatial Segregation Analytics","authors":"S. Rey, R. Cortes, Elijah Knaap","doi":"10.1007/s40980-021-00075-w","DOIUrl":"https://doi.org/10.1007/s40980-021-00075-w","url":null,"abstract":"","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-021-00075-w","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"53018234","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
Spatial and Temporal Inequalities in Undernutrition Among Non-pregnant Women in Ghana: A Multilevel Analysis 加纳非怀孕妇女营养不良的时空不平等:一个多水平分析
IF 1.9
Spatial Demography Pub Date : 2021-01-08 DOI: 10.1007/s40980-020-00074-3
Samuel H. Nyarko, Fikrewold Bitew, Hubert Amu
{"title":"Spatial and Temporal Inequalities in Undernutrition Among Non-pregnant Women in Ghana: A Multilevel Analysis","authors":"Samuel H. Nyarko, Fikrewold Bitew, Hubert Amu","doi":"10.1007/s40980-020-00074-3","DOIUrl":"https://doi.org/10.1007/s40980-020-00074-3","url":null,"abstract":"<p>Nutritional status is an important determinant of women’s health and wellbeing. However, there appears to be a dearth of information on the spatial distribution of undernutrition among women in Ghana over time. We, therefore, examined the spatial and temporal variations in undernutrition among non-pregnant Ghanaian women. Drawing on data from the 2003, 2008, and 2014 Ghana demographic and health surveys, we used geospatial techniques to show spatial autocorrelation for undernutrition levels in the study sample. Multilevel logistic regression analysis was also applied to estimate sociodemographic and contextual factors underlying the variations in the country. The results show considerable local clusterings and regional variations in undernutrition levels in the sample coupled with steady improvements within the regions over time. There was also a notable north–south divide in the undernutrition levels among non-pregnant women in the country for the study period. The spatio-temporal patterns of undernutrition levels are explained by some individual-level sociodemographic factors such as age, marital status, educational attainment, household wealth, and water source as well as the percent of regional unmet need for family planning. Policies and interventions should focus on alleviating the observed regional disparities in undernutrition levels among women while targeting and tracking higher risk women in Ghana.\u0000</p>","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138510176","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
Looking Back, Looking Forward: Progress and Prospect for Spatial Demography. 回顾过去,展望未来:空间人口学的进步与展望》。
IF 1.1
Spatial Demography Pub Date : 2021-01-01 Epub Date: 2021-05-20 DOI: 10.1007/s40980-021-00084-9
Stephen A Matthews, Laura Stiberman, James Raymer, Tse-Chuan Yang, Ezra Gayawan, Sayambhu Saita, Sai Thein Than Tun, Daniel M Parker, Deborah Balk, Stefan Leyk, Mark Montgomery, Katherine J Curtis, David W S Wong
{"title":"Looking Back, Looking Forward: Progress and Prospect for Spatial Demography.","authors":"Stephen A Matthews, Laura Stiberman, James Raymer, Tse-Chuan Yang, Ezra Gayawan, Sayambhu Saita, Sai Thein Than Tun, Daniel M Parker, Deborah Balk, Stefan Leyk, Mark Montgomery, Katherine J Curtis, David W S Wong","doi":"10.1007/s40980-021-00084-9","DOIUrl":"10.1007/s40980-021-00084-9","url":null,"abstract":"","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.1,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8136374/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39018893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Spatial Variation in Contraceptive Practice Across the Districts of India, 1998-2016. 1998-2016年印度各区避孕措施的空间差异
IF 1.9
Spatial Demography Pub Date : 2021-01-01 Epub Date: 2021-08-19 DOI: 10.1007/s40980-021-00092-9
Shareen Joshi, Uttamacharya, Kakoli Borkotoky, Abhishek Gautam, Nitin Datta, Pranita Achyut, Priya Nanda, Ravi Verma
{"title":"Spatial Variation in Contraceptive Practice Across the Districts of India, 1998-2016.","authors":"Shareen Joshi,&nbsp;Uttamacharya,&nbsp;Kakoli Borkotoky,&nbsp;Abhishek Gautam,&nbsp;Nitin Datta,&nbsp;Pranita Achyut,&nbsp;Priya Nanda,&nbsp;Ravi Verma","doi":"10.1007/s40980-021-00092-9","DOIUrl":"https://doi.org/10.1007/s40980-021-00092-9","url":null,"abstract":"<p><p>India is currently one of the most demographically diverse regions of the world. Fertility and mortality rates are known to show considerable variation at the level of regions, states and districts. Little is known however, about the spatial variations of the contraceptive usage-a critical variable that is relevant to fertility as well as health policy. This paper uses data from four national population-based household surveys conducted between 1998 and 2016 to explore district-level variations in the contraceptive prevalence rate. We find no clear evidence of convergence. The gap between the best and worst performing districts is more than 70 percent across the four rounds and does not diminish over time. We also find considerable evidence of spatial clustering across districts. Districts with high prevalence concentrate in Southern states and more recently, in the Northeast of the country. Our analysis suggests that female literacy and health care infrastructure are important correlates of spatial clusters. This suggests that investments in women's human capital and health-care infrastructure play a role in expanding women's opportunities to time their births.</p>","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-021-00092-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39684586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Exploiting Fine-Scale Data in Modeling Migrants’ Settlement Patterns in Europe 利用精细尺度数据模拟欧洲移民定居模式
IF 1.9
Spatial Demography Pub Date : 2020-12-01 DOI: 10.1007/s40980-020-00073-4
A. Mazza
{"title":"Exploiting Fine-Scale Data in Modeling Migrants’ Settlement Patterns in Europe","authors":"A. Mazza","doi":"10.1007/s40980-020-00073-4","DOIUrl":"https://doi.org/10.1007/s40980-020-00073-4","url":null,"abstract":"","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-020-00073-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47364262","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: 1
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