Spatial Analysis of thNew measurement approaches to identifying spatial concentrations of poor and low-income households in German city regionse Suburbanization of Poverty in German City Regions

IF 0.7 Q3 GEOGRAPHY
Stefan Fina, Julian Schmitz, Sabine Weck, Carmella Pfaffenbach, Diane Dobusch
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Abstract

The question of whether 21st-century urbanization dynamics are leading to a suburbanization of poverty in Western city regions has been on the agenda of spatial researchers and housing policymakers for over a decade now. Persistent reurbanization trends are putting increased pressure on inner-city housing markets, resulting in affordability problems for low-income households. Evidence from the US and the UK shows that financing mechanisms in the real estate sector were severely disrupted in the aftermath of the financial crisis in 2009 and subsequent years, with many households losing their homes and being forced to move. Though social security systems and social housing policies generally have a moderating effect, they vary widely across Western countries. Against this background, this paper presents three spatial observation methods tailored to the spatial analysis of poverty concentrations in Germany. The methods are based on three popular conceptualizations of poverty: material poverty, relative poverty, and the concept of neighbourhood deprivation. The main novelty presented in this paper is a cold-spot analysis of purchasing power in 33 city regions using interactive map visualizations and complemented by socioeconomic indicators. Expert feedback verifies the validity of the approach which addresses a ‘blind spot’ in assessing poverty in Germany, where many low-income households are increasingly exposed to risks of poverty despite not qualifying for social benefits.
识别德国城市地区贫困和低收入家庭空间集中的新测量方法的空间分析
十多年来,空间研究人员和住房政策制定者一直在讨论21世纪的城市化动态是否会导致西部城市地区的贫困郊区化。持续的再城市化趋势给市中心住房市场带来了越来越大的压力,导致低收入家庭出现负担能力问题。来自美国和英国的证据表明,在2009年及随后几年的金融危机之后,房地产行业的融资机制遭到严重破坏,许多家庭失去了住房,被迫搬家。虽然社会保障制度和社会住房政策通常具有调节作用,但它们在西方国家之间差异很大。在此背景下,本文提出了适合德国贫困集中度空间分析的三种空间观测方法。这些方法基于三种流行的贫困概念:物质贫困、相对贫困和邻里剥夺概念。本文提出的主要新颖之处是利用交互式地图可视化并辅以社会经济指标,对33个城市地区的购买力进行冷点分析。专家的反馈验证了该方法的有效性,该方法解决了德国贫困评估中的一个“盲点”,在德国,许多低收入家庭尽管没有资格获得社会福利,但却越来越多地面临贫困风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.50
自引率
28.60%
发文量
54
审稿时长
29 weeks
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