Social exclusion and poverty in Europe: Territorial patterns

Rich cities, poor countryside? Social structure of the poor and poverty risks in urban and rural places in an affluent country

“…According to Zhou and Liu (2019) and the geography of poverty, it is essential to understand the spatial pattern of poverty. It is acknowledged that this approach has the potential to deepen our understanding on how (and why) people in rich countries get poor ( Bentley and Pugalis, 2014 ; Madanipour and Weck, 2015 ), and it offers a promising link between the micro- and the macro-level. It is, however, also commonly known that estimating regional poverty rates, given the available data, is a challenging task (see Copus et al, 2015 ).…”

“…Therefore, estimating regional poverty rates, given the current data resources, is a difficult task ( Copus et al, 2015 ). At the same time, there is a substantial amount of literature highlighting the importance of regional aspects of poverty or place-based approaches to poverty that are likely important in a diverse region such as Europe ( Bentley and Pugalis 2014 ; Copus et al, 2015 ; Madanipour and Weck, 2015 ; Madanipour et al, 2015 ). To develop the adequate poverty policies necessary to achieve the poverty goals of the agenda by 2030 and beyond, it is crucial to understand how regional economic structure, and places in general, contribute to people living below the poverty line ( Zhou und Liu, 2019 ).…”

Mapping health vulnerabilities: exploring territorial profiles to support health policies

“…The extent to which impacts have been unfairly distributed 12 , and how vulnerability issues differ within countries and even within regions, has been the subject of debate among several authors 8,13,14 . The territorial vulnerability has become increasingly visible through events such as spatial segregation, poverty concentration, or lack of accessibility 15,16 . However, if social vulnerabilities have been extensively studied, the spatial dimension of exclusion and overall vulnerability in various domains has so far been mostly neglected.…”

“…However, the mechanisms for developing such indices are still being debated 27 . Data availability has generally hindered the use of an extensive number of indicators and conditioned their selection, 15,23,24,28 . The different weighting of variables in multidimensional modelling also conditions results 29 , and these have often not been discussed from a spatial/territorial perspective 23,15 .…”