Spatial Demography最新文献_第7页

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

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":"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 & technology, finance & insurance, and professional & 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.","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

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

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, Christopher D Lloyd","doi":"10.1007/s40980-020-00071-6","DOIUrl":"https://doi.org/10.1007/s40980-020-00071-6","url":null,"abstract":"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, PopChange, 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.","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

引用次数: 0

Next Steps for Spatial Demography 空间人口学的下一步

IF 1.9

Spatial Demography Pub Date : 2019-10-01 DOI: 10.1007/s40980-019-00055-1

S. Matthews

引用次数: 0

Demographic Ageing in the Mediterranean: The End of the Spatial Dichotomy Between the Shores? 地中海人口老龄化:海岸间空间二分法的终结?