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Over the past few years, neighbourhood effects research has received significant attention from the academic world, not only in the US, where that attention has a longer tradition, but also in Western Europe. There is also substantial interest among policy makers. Most policy makers intend to reduce concentrations of poverty by enhancing the social mix of neighbourhoods. Avoiding high immigrant concentrations in particular neighbourhoods is another issue that fuels political debate and policy intervention in many Western European countries, Scandinavian countries included. However, there are clear gaps in the understanding of the relationship between neighbourhood composition and social outcomes. One of these gaps regards the scale of the neighbourhood; if there would be neighbourhood effects, what scale is it relevant to consider? Is mix good or bad for the social prospects of individuals at a level that is very local, for example a few neighbouring streets, or could mix be helpful at a somewhat higher scale? This article will focus on this issue, applying individual longitudinal data in multi‐level models for the entire active population of the three largest metropolitan areas in Sweden. We will explore the degree to which the social and ethnic composition of geographical districts, at a variety of scales (measured at time t), are statistically related to individual employment and earnings for adult metropolitan residents at time t+1, controlling for relevant personal and household characteristics.  相似文献   
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In the Netherlands, human geography has traditionally been an applied, practical science. Close ties have always existed with spatial planning and regional-economic policy. With good reason, the first generation of planning specialists—in the 1960s—consisted largely of people trained as geographers. Geographers were also the socio-spatial engineers of the welfare state (de Pater 2001b; de Pater and de Smidt 1989).  相似文献   
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We investigate the relationship between neighborhood income composition and income trajectories of adults, employing annual panel data from Stockholm over the 1991–2008 period and multiple measures of neighborhood income mix. We advance the human geography literature in three ways by quantifying neighborhood effects that: (1) are unusually precise due to our large sample size; (2) are arguably causal and unbiased due to the econometric techniques employed; (3) are potentially heterogeneous, varying according to gender, income group, and ethnicity. Our innovative, fixed‐effect change modeling indicates that neighborhood income mix affects subsequent one‐ and five‐year income trajectories of residents in highly heterogeneous ways according to gender, income and ethnicity, and for some groups this effect is substantial. The evidence supports on Pareto improvement grounds a social mix policy that attempts to reduce the incidence of lower‐income dominant neighborhood environments and replace them with more mixed or middle‐income dominant ones.  相似文献   
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