Using SimBritain to model the geographical impact of national government policies

被引:42
作者
Ballas, Dimitris
Clarke, Graham
Dorling, Danny
Rossiter, David
机构
[1] Univ Leeds, Sch Geog, Leeds LS2 9JT, W Yorkshire, England
[2] Univ Leeds, Sch Geog, Leeds, W Yorkshire, England
关键词
D O I
10.1111/j.1538-4632.2006.00695.x
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
In this article, we use a dynamic spatial microsimulation model of Britain for the analysis of the geographical impact of policies that have been implemented in Britain in the last 10 years. In particular, we show how spatial microsimulation can be used to estimate the geographical and socio-economic impact of the following policy developments: introduction of the minimum wage, winter fuel payments, working families tax credits, and new child and working credits. This analysis is carried out with the use of the SimBritain model, which is a product of a 3-year research project aimed at dynamically simulating urban and regional populations in Britain. SimBritain projections are based on a method that uses small area data from past Censuses of the British population in order to estimate small-area data for 2001, 2011, and 2021.
引用
收藏
页码:44 / 77
页数:34
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