Spatial Demography最新文献

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Revealing Multiscale Segregation Effects from Fine-Scale Data: A Case Study of Two Communities in Paris 从精细尺度数据揭示多尺度隔离效应:以巴黎两个社区为例
IF 1.9
Spatial Demography Pub Date : 2020-07-13 DOI: 10.1007/s40980-020-00065-4
Madalina Olteanu, Cecile de Bezenac, William Clark, Julien Randon-Furling
{"title":"Revealing Multiscale Segregation Effects from Fine-Scale Data: A Case Study of Two Communities in Paris","authors":"Madalina Olteanu, Cecile de Bezenac, William Clark, Julien Randon-Furling","doi":"10.1007/s40980-020-00065-4","DOIUrl":"https://doi.org/10.1007/s40980-020-00065-4","url":null,"abstract":"<p>Fine-scale data is particularly important for the analysis of multiscalar segregation phenomena. Using dis-aggregated data from an EU data challenge, we show here how to apply a recently developed method that measures segregation at multiple scales and provides a visualization of the levels of segregation across scale and space. We illustrate the technique with results for two groups of citizen migrants in the city of Paris.</p>","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"5 3","pages":""},"PeriodicalIF":1.9,"publicationDate":"2020-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138510170","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
Super Aging in South Korea Unstoppable but Mitigatable: A Sub-National Scale Population Projection for Best Policy Planning. 韩国的超级老龄化势不可挡,但可以缓解:为最佳政策规划进行的次国家规模人口预测。
IF 1.9
Spatial Demography Pub Date : 2020-07-01 Epub Date: 2020-06-12 DOI: 10.1007/s40980-020-00061-8
Kee Whan Kim, Oh Seok Kim
{"title":"Super Aging in South Korea Unstoppable but Mitigatable: A Sub-National Scale Population Projection for Best Policy Planning.","authors":"Kee Whan Kim,&nbsp;Oh Seok Kim","doi":"10.1007/s40980-020-00061-8","DOIUrl":"https://doi.org/10.1007/s40980-020-00061-8","url":null,"abstract":"<p><p>This research portrays the spatial and temporal progression of super-aging in regions throughout South Korea. Using a single-year population projection considering gross domestic migration, this research identifies which regions will shortly become a super-aged society. A cohort-component method with a migrant pool model is applied. The county-level national population registration data (2000-2018) are aggregated into 37 regions for the model run. In 2020, 16 rural regions will become super-aged societies. By 2029, all 37 regions, including the metropolitan areas, will join the group, with Sejong, the administrative capital, being the last to enter. In brief, the rural areas become super-aged earlier than the metropolitan areas, and within a decade, those 65 years old or older will make up the majority of the national population. Among all the metropolitan areas, Busan, the largest harbor city, will be the first to be super-aged in 2023. Sejong will experience the most radical change between 2020 and 2050. The research outcomes demonstrate that demographic changes in the rural and metropolitan areas are different; hence, the recent population policies, such as promoting fertility, may not work in the rural areas as they have already lost their population momentum due to the extreme and ongoing urbanization throughout the nation. The unstoppable aging will pose adverse effects on future citizens (who are mostly senior) both financially and medically. An increase in health care expenditure and a nationwide blood shortage for transfusion are anticipated, for example.</p>","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"8 2","pages":"155-173"},"PeriodicalIF":1.9,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-020-00061-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39151734","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: 52
Modelling Age Patterns of Internal Migration at the Highest Ages 对最高年龄的国内移民年龄模式进行建模
IF 1.9
Spatial Demography Pub Date : 2020-06-25 DOI: 10.1007/s40980-020-00062-7
Tom Wilson
{"title":"Modelling Age Patterns of Internal Migration at the Highest Ages","authors":"Tom Wilson","doi":"10.1007/s40980-020-00062-7","DOIUrl":"https://doi.org/10.1007/s40980-020-00062-7","url":null,"abstract":"<p>Model migration age schedules have proved valuable to demographers for a range of applications for over 40 years. The original Rogers-Castro curve has been extended over time to include a retirement curve, a post-retirement curve, and a student peak. With demographic analyses extending to higher age groups than in the past due to population ageing, it is important for the model schedule to faithfully reflect migration patterns at advanced ages. Recent data on internal migration in the nonagenarian and centenarian ages reveals several examples of rising then falling mobility with increasing age. This paper suggests an alternative specification of the post-retirement curve of the model schedule to reflect this pattern. The modified model migration schedule is successfully fitted to example internal migration age patterns from Australia, Canada and the Netherlands. The modified schedule should prove useful in preparing input data for population projections and analyses of migration age patterns extending to the highest ages.</p>","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"7 3","pages":"175-192"},"PeriodicalIF":1.9,"publicationDate":"2020-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138510165","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: 4
U.S. Fertility Decline and Recuperation Following the Great Recession by County-Level Industrial Composition of the Labor Force 大衰退后美国生育率的下降和恢复——以县级劳动力工业构成为例
IF 1.9
Spatial Demography Pub Date : 2020-06-16 DOI: 10.1007/s40980-020-00063-6
Jeongsoo Kim, Lloyd B. Potter
{"title":"U.S. Fertility Decline and Recuperation Following the Great Recession by County-Level Industrial Composition of the Labor Force","authors":"Jeongsoo Kim, Lloyd B. Potter","doi":"10.1007/s40980-020-00063-6","DOIUrl":"https://doi.org/10.1007/s40980-020-00063-6","url":null,"abstract":"<p>Amid a persistent U.S. fertility decline since the Great Recession, fertility recuperation patterns by geographic regions were not homogeneous. This study hypothesizes that the geographic discrepancies in fertility patterns are attributable to different labor force compositions by the regions. We use data from the U.S. Census Bureau’s Annual Estimates of the Resident Population County Components of Population Change to estimate the discrepancy in fertility variations at the county-level. By comparing the slopes of births before and following the recession, we visualize the characteristics of fertility variations at the U.S. county-level. Also, a multiple linear regression model estimates that the counties with a greater share of labor force in wholesale trade, information &amp; technology, finance &amp; insurance, and professional &amp; scientific industry show greater volatility in fertility trends throughout the Great Recession. On the contrary, the counties with higher proportions of the labor force in agriculture, retail trade, and education industry tend to less change over the years of the economic recession. However, fertility recuperation is limitedly identified amid the structural fertility decline after the Great Recession.</p>","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"73 3","pages":"193-210"},"PeriodicalIF":1.9,"publicationDate":"2020-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138510193","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
Hispanic Population Growth and Black–White Inequality: Changing Demographics, Changing Social Positions? 西班牙裔人口增长与黑人-白人不平等:人口结构变化,社会地位变化?
IF 1.9
Spatial Demography Pub Date : 2020-03-09 DOI: 10.1007/s40980-020-00059-2
Heather A. O’Connell, Christina J. Diaz
{"title":"Hispanic Population Growth and Black–White Inequality: Changing Demographics, Changing Social Positions?","authors":"Heather A. O’Connell, Christina J. Diaz","doi":"10.1007/s40980-020-00059-2","DOIUrl":"https://doi.org/10.1007/s40980-020-00059-2","url":null,"abstract":"Social scientists assert that the growth and redistribution of the Hispanic population has altered local racial and economic dynamics in the United States. Yet, comparably little work tests this perspective. We develop hypotheses based on two key sets of theories—the shifting racial/ethnic color line and (im)migrant incorporation into labor markets—to guide our analysis of the relationship between changing Hispanic population concentration and changes in black–white economic inequality. Our first-differenced analysis draws on county-level data from the 1990 and 2000 decennial Census, the US Department of Agriculture, and CQ Press Voting and Elections Collection. In addition to assessing black–white disparities in income, poverty, and unemployment, we test whether the relationship of interest is more or less pronounced in new destinations. When shifts in Hispanic concentration are associated with changes in black and white economic outcomes, we find improved outcomes for blacks (e.g., lower unemployment and poverty rates) but modestly diminished outcomes for whites. There is some evidence that these patterns result in declining black–white inequality in both new and established destinations; however, the declines are small and exclusive to unemployment and poverty outcomes. Results ultimately suggest limited structural changes as they relate to black–white economic inequality during this period.","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"71 4","pages":"33-61"},"PeriodicalIF":1.9,"publicationDate":"2020-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138510167","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
Under-Five Child Growth and Nutrition Status: Spatial Clustering of Indian Districts 五岁以下儿童生长和营养状况:印度各区的空间聚类
IF 1.9
Spatial Demography Pub Date : 2020-03-02 DOI: 10.1007/s40980-020-00058-3
E. Striessnig, J. Bora
{"title":"Under-Five Child Growth and Nutrition Status: Spatial Clustering of Indian Districts","authors":"E. Striessnig, J. Bora","doi":"10.1007/s40980-020-00058-3","DOIUrl":"https://doi.org/10.1007/s40980-020-00058-3","url":null,"abstract":"","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"221 1","pages":"63 - 84"},"PeriodicalIF":1.9,"publicationDate":"2020-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-020-00058-3","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"53017762","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
Review of Guangqing Chi and Jun Zhu: Spatial Regression Models for the Social Sciences 迟光清、朱军述评:社会科学的空间回归模型
IF 1.9
Spatial Demography Pub Date : 2020-01-27 DOI: 10.1007/s40980-020-00057-4
Corey S. Sparks
{"title":"Review of Guangqing Chi and Jun Zhu: Spatial Regression Models for the Social Sciences","authors":"Corey S. Sparks","doi":"10.1007/s40980-020-00057-4","DOIUrl":"https://doi.org/10.1007/s40980-020-00057-4","url":null,"abstract":"","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"6 9","pages":"119-122"},"PeriodicalIF":1.9,"publicationDate":"2020-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138510177","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: 6
Population Grids for Analysing Long-Term Change in Ethnic Diversity and Segregation. 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 : 2020-01-01 Epub Date: 2020-12-21 DOI: 10.1007/s40980-020-00071-6
Gemma Catney, Christopher D Lloyd
{"title":"Population Grids for Analysing Long-Term Change in Ethnic Diversity and Segregation.","authors":"Gemma Catney,&nbsp;Christopher D Lloyd","doi":"10.1007/s40980-020-00071-6","DOIUrl":"https://doi.org/10.1007/s40980-020-00071-6","url":null,"abstract":"<p><p>Changes in the spatial patterns of ethnic diversity and residential segregation are often highly localized, but inconsistencies in geographical data units across different time points limit their exploration. In this paper, we argue that, while they are often over-looked, population grids provide an effective means for the study of long-term fine-scale changes. Gridded data represent population structures: there are gaps where there are no people, and they are not (unlike standard zones) based on population distributions at any one time point. This paper uses an innovative resource, <i>PopChange</i>, which provides spatially fine-grained (1 km by 1 km) gridded data on country of birth (1971-2011) and ethnic group (1991-2011). These data enable insight into micro-level change across a long time period. Exploring forty years of change over five time points, measures of residential ethnic diversity and segregation are employed here to create a comprehensive 'atlas' of ethnic neighbourhood change across the whole of Britain. Four key messages are offered: (1) as Britain's ethnic diversity has grown, the spatial complexity of this diversity has also increased, with greater diversity in previously less diverse spaces; (2) ethnic residential segregation has steadily declined at this micro-scale; (3) as neighbourhoods have become more diverse, they have become more spatially integrated; (4) across the whole study period, the most dynamic period of change was between 2001 and 2011. While concentrating on Britain as a case study, the paper explores the potential offered by gridded data, and the methods proposed to analyse them, for future allied studies within and outside this study area.</p>","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"8 3","pages":"215-249"},"PeriodicalIF":1.9,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s40980-020-00071-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39087332","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: 5
The Unique Case of Minneapolis–St. Paul, MN: Locational Attainments and Segregation in the Twin Cities 明尼苏达州明尼阿波利斯-圣保罗的独特案例:双子城的区位成就与种族隔离
IF 1.9
Spatial Demography Pub Date : 2019-10-22 DOI: 10.1007/s40980-019-00056-0
Amber R. Crowell, Mark Fossett
{"title":"The Unique Case of Minneapolis–St. Paul, MN: Locational Attainments and Segregation in the Twin Cities","authors":"Amber R. Crowell, Mark Fossett","doi":"10.1007/s40980-019-00056-0","DOIUrl":"https://doi.org/10.1007/s40980-019-00056-0","url":null,"abstract":"The Minneapolis–St. Paul Metropolitan Area has a rapidly growing foreign-born population in part due to its high levels of refugee reception and migrants drawn to the burgeoning high-tech and manufacturing industries. As a result, the Twin Cities are unique in that every major racial group has a sizable foreign-born segment with a wide range of U.S. entry experiences and thus the area offers an opportunity to investigate the dynamics of locational attainments and segregation of a highly diverse non-White population. Accordingly, we examine the residential outcomes of Blacks, Latinos and Asians, investigate how nativity, socioeconomic gains, and acculturation translate into residential contact with Whites, and draw the link between these micro-level locational attainments and overall segregation patterns for the area. We find Latinos and Asians experience traditional spatial assimilation dynamics but a different pattern is seen for Blacks wherein foreign-born Blacks are less segregated than U.S.-born Blacks, reversing the expected role of nativity and acculturation and suggesting a more complicated story of ethnic stratification and assimilation supported by the segmented assimilation framework.","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"114 1","pages":"1-31"},"PeriodicalIF":1.9,"publicationDate":"2019-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140884558","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 Regression Analysis of Poverty in R. 用 R 对贫困进行空间回归分析。
IF 1.9
Spatial Demography Pub Date : 2019-10-01 Epub Date: 2019-03-04
Maria Kamenetsky, Guangqing Chi, Donghui Wang, Jun Zhu
{"title":"Spatial Regression Analysis of Poverty in R.","authors":"Maria Kamenetsky, Guangqing Chi, Donghui Wang, Jun Zhu","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Poverty has been studied across many social science disciplines, resulting in a large body of literature. Scholars of poverty research have long recognized that the poor are not uniformly distributed across space. Understanding the spatial aspect of poverty is important because it helps us understand place-based structural inequalities. There are many spatial regression models, but there is a learning curve to learn and apply them to poverty research. This manuscript aims to introduce the concepts of spatial regression modeling and walk the reader through the steps of conducting poverty research using R: standard exploratory data analysis, standard linear regression, neighborhood structure and spatial weight matrix, exploratory spatial data analysis, and spatial linear regression. We also discuss the spatial heterogeneity and spatial panel aspects of poverty. We provide code for data analysis in the R environment and readers can modify it for their own data analyses. We also present results in their raw format to help readers become familiar with the R environment.</p>","PeriodicalId":43022,"journal":{"name":"Spatial Demography","volume":"7 2-3","pages":"113-147"},"PeriodicalIF":1.9,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6857788/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141284921","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
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