论文标题
对爱尔兰可支配收入的空间分析：GWR方法
A Spatial Analysis of Disposable Income in Ireland: A GWR Approach
论文作者
论文摘要
本文研究了爱尔兰收入的空间分布。来自CSO的中位家庭一次性收入数据中位数可在选举部门（ED）级别获得，用于探索收入的空间变异性。 Geary的C强调了收入的空间依赖性，强调收入的分配不是整个空间的随机，并且受位置的影响。鉴于存在空间自相关的存在，利用全球OLS回归将导致偏差结果。地理加权回归（GWR）用于检查收入的空间异质性以及当地人口驱动力对收入的影响。 GWR结果表明，人口驱动力对各个地方的收入的影响程度不同。与在都柏林通勤带中相比，孤独的父母对软木通勤带的负面影响要高。家庭收入与该地区人口环境之间的关系是一个复杂的关系。本文试图检查这些关系以承认空间的影响。
This paper examines the spatial distribution of income in Ireland. Median gross household disposable income data from the CSO, available at the Electoral Division (ED) level, is used to explore the spatial variability in income. Geary's C highlights the spatial dependence of income, highlighting that the distribution of income is not random across space and is influenced by location. Given the presence of spatial autocorrelation, utilising a global OLS regression will lead to biased results. Geographically Weighted Regression (GWR) is used to examine the spatial heterogeneity of income and the impact of local demographic drivers on income. GWR results show the demographic drivers have varying levels of influence on income across locations. Lone parent has a stronger negative impact in the Cork commuter belt than it does in the Dublin commuter belt. The relationship between household income and the demographic context of the area is a complicated one. This paper attempts to examine these relationships acknowledging the impact of space.
