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Doctoral Dissertation Research: How Does Space Matter in Ethnic Labor Market Segmentation? A Case Study of Chinese in the San Francisco CMSA

Doctoral Dissertation Research: How Does Space Matter in Ethnic Labor Market Segmentation? A Case Study of Chinese in the San Francisco CMSA
博士论文研究:空间在种族劳动力市场细分中有何影响?
批准号:
0333375
负责人:
Kavita Pandit
金额:
$1.2万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-09-01 至 2006-02-28

项目摘要

项目成果

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中文摘要
翻译
在过去几十年中,“种族利基”-由特定种族群体的工人主导的职业-的出现有所增加。 对这一现象的大多数解释都集中在吸引工人从事特定工作的个人特点、招聘和雇用的族裔网络以及创造大量低工资和低技能工作由移民填补的宏观结构力量。 然而,在很大程度上,大多数研究都缺少空间。 本博士论文的研究项目将从有关民族飞地和空间劳动力市场的文献中汲取经验,研究空间对民族劳动力市场分割的影响--工人居住地和工作场所的位置如何影响利基职业的出现。 该项目将包括对旧金山弗朗西斯科大都会综合统计区的华裔工人进行案例研究,并将使用在高度受控条件下提供的详细的个人层面人口普查局数据集。 这些数据在普查区一级确定了工人的就业部门、居住地和工作地点。 该项目将研究弗朗西斯科劳动力市场的种族分割,并确定中国利基部门。 它将确定中国住宅和工作场所的集中,并研究这些集中的社会和经济特征。 它还将评估家庭和工作的地理位置如何影响中国职业生态位的出现。 分析将基于逻辑回归、多元方差分析(MANOVA)和基于GIS的空间分析技术的组合。 研究人员希望证明,人力资本和社会资本是通过特定的空间安排建立的,居住和工作场所的位置可以影响职业选择,拟议的研究努力将工人和工作的空间背景纳入劳动力市场的种族分割的理解。 空间劳动力市场的观点将与民族种族研究相结合,从而最终将居住隔离,劳动力市场分割和工作场所隔离联系在一起。 研究结果将为城市决策者解决一些至关重要的问题提供宝贵的见解。 例如,居住隔离是否阻碍了劳动力市场的机会? 少数民族聚居地对其居民来说是有利还是不利? 劳动力市场分割可以通过精心设计的住房和交通战略来消除吗? 虽然本研究关注的是弗朗西斯科的华人,但其概念基础、数据和方法将广泛适用于其他族裔群体和大都市地区。 作为博士论文研究改进奖,该奖项还将提供支持,使有前途的学生建立一个强大的独立的研究生涯。
英文摘要
The past few decades have seen a rise in the emergence of "ethnic niches" -- occupations that are dominated by workers from a particular ethnic group. Most explanations of this phenomenon focus on the personal characteristics of workers that draw them to particular jobs, the ethnic networks of recruitment and hiring, and macrostructural forces that have created a large number of low wage and low skill jobs to be filled by immigrants. To a great extent, however, space is missing in most studies. Drawing from the literature on ethnic enclaves and spatial labor markets this doctoral dissertation research project will examine the spatial influences on ethnic labor market segmentation -- how the locations of workers' residences and workplaces influence the emergence of niche occupations. The project will include a case study of Chinese ethnic workers in the San Francisco Consolidated Metropolitan Statistical Area and will use a detailed individual-level Census Bureau dataset that is available under highly controlled conditions. The data identifies, at the census tract level, a worker's employment sector, place of residence, and place of work. The project will examine the ethnic segmentation of San Francisco's labor market and identify Chinese niche sectors. It will identify Chinese residential and workplace concentrations and examine the social and economic characteristics of these concentrations. It also will evaluate how the geography of home and work influences the emergence of Chinese occupational niches. The analyses will be based on a combination of logistic regressions, multiple analysis of variance (MANOVA), and GIS-based spatial analysis techniques. The investigators expect to demonstrate that human and social capital is built through particular spatial arrangements,and that residential and workplace locations can influence occupational choices.The proposed research makes efforts to incorporate the spatial context of workers and jobs into the understanding of the ethnic segmentation of labor markets. Spatial labor market perspectives will be integrated with ethnicity-race studies, thereby ultimately linking together residential segregation, labor market segmentation, and work place segregation. The findings will provide valuable insights into a number of questions of critical importance to urban policy makers. For example, does residential segregation impede labor market opportunities? Do ethnic enclaves confer more advantages or more disadvantages for their residents? Can labor market segmentation be eliminated through deliberately designed housing and transportation strategies? Although the present study is concerned with the Chinese in San Francisco, its conceptual foundation, data, and methodology will be broadly applicable to other ethnic groups and metropolitan areas. As a Doctoral Dissertation Research Improvement award, this award also will provide support to enable a promising student to establish a strong independent research career.
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