Determinants of Regional Disparities in Housing Prices: A Spatial Analysis of German Regions

IF 0.5 Q3 AREA STUDIES
E. V. Semerikova, A. O. Blokhina, A. Nastansky
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引用次数: 0

Abstract

Germany is characterised by heterogeneous regional development in various economic spheres, including housing markets. Differences in housing prices persist during decades, causing undesirable inequality, affecting migration and employment patterns. The purpose of this work is to identify regional factors which affect regional housing prices in Germany. The peculiarity of the study is the consideration of the spatial location of regions for analysing the influence of the characteristics of neighbouring regions. Based on data from 397 German regions for 2004-2019, spatial econometric panel data models are built, which consider both selling and rental prices. The following factors that affect demand in the housing market are used as determinants of housing prices: the unemployment rate, the balance of pendulum migration at the place of work and living, the share of employment, wages, the number of employees, gross regional product. The analysis findings revealed that factors that raise income for the population trigger an upsurge in demand and prices for housing. Conversely, opposite effects result in a decline in prices due to a decrease in demand. Moreover, it was verified that neighbouring regions mutually affect housing markets through pendulum migration and the creation of economic clusters with similar living standards and prices. Furthermore, changes in labour market metrics are crucial; unemployment, wages, and the number of workers in nearby regions have a significant influence on real estate prices in the area under examination. The study’s practical importance lies in the possibility of using its outcomes to develop regional and migration policies.
房价地区差异的决定因素:德国地区的空间分析
德国的特点是在包括住房市场在内的各个经济领域都有不同的区域发展。住房价格的差异持续了几十年,造成了不受欢迎的不平等,影响了移民和就业模式。这项工作的目的是确定影响德国区域房价的区域因素。该研究的独特之处在于考虑了区域的空间位置,以分析邻近区域的特征的影响。基于2004-2019年德国397个地区的数据,建立了考虑销售和租赁价格的空间计量面板数据模型。以下影响住房市场需求的因素被用作房价的决定因素:失业率,工作和生活地点的钟摆迁移平衡,就业份额,工资,雇员人数,地区生产总值。分析结果显示,提高人口收入的因素引发了住房需求和价格的飙升。相反,由于需求减少,相反的影响导致价格下降。此外,还证实邻近地区通过钟摆迁移和创造具有相似生活水平和价格的经济集群相互影响住房市场。此外,劳动力市场指标的变化至关重要;失业率、工资、周边地区的劳动者数量对被调查地区的房地产价格有很大影响。这项研究的实际重要性在于有可能利用其结果来制定区域和移民政策。
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
1.80
自引率
20.00%
发文量
23
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