Department of Sociology, Iowa State University, Ames, IA 50011, USA.
Soc Sci Res. 2013 Nov;42(6):1490-504. doi: 10.1016/j.ssresearch.2013.06.009. Epub 2013 Jun 26.
This analysis examines the spatial clustering of income inequality and its socioeconomic correlates at the meso-scale over the past four decades. Cluster analysis is used to group N=3078 counties into five inequality clusters; and multinomial logistic regression is used to assess the effects of socioeconomic correlates. High and extreme inequality places are concentrated in large metropolitan centers, high amenity rural areas, and parts of the Great Plains and Mountain West. They tend to have better socioeconomic outcomes, with fewer at-risk populations, higher incomes, lower poverty, and greater economic participation. Unequal places are more specialized in high-skill finance and professional services, and in energy-based mining. By contrast, equality places are associated with low-skill services, education and health services, manufacturing, and stable farm economies.
本分析考察了过去四十年中中观尺度上收入不平等的空间集聚及其社会经济相关性。聚类分析用于将 N=3078 个县分为五个不平等集群；并使用多项逻辑回归来评估社会经济相关性的影响。高和极端不平等地区集中在大城市中心、高宜居农村地区以及大平原和落基山脉西部的部分地区。这些地区往往具有更好的社会经济成果，风险人群较少，收入更高，贫困率更低，经济参与度更高。不平等地区更专业化于高技能金融和专业服务，以及以能源为基础的采矿业。相比之下，平等地区与低技能服务、教育和卫生服务、制造业以及稳定的农业经济相关。
