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  • 1
    Language: English
    Pages: 1 Online-Ressource (circa 48 Seiten) , Illustrationen
    Series Statement: OECD regional development working papers 2018, 01
    Keywords: Migranten ; Soziale Integration ; OECD-Staaten ; Urban, Rural and Regional Development ; Amtsdruckschrift ; Graue Literatur
    Abstract: This paper provides an assessment of the presence of migrants, their characteristics and integration outcomes across OECD regions, based on a new OECD database on immigrant integration at the regional level. It reveals the wide diversity of the presence of migrants within countries, as well as the specific patterns observed in the way migrants locate and integrate in society across regions. For example, migrants tend to be more spatially concentrated in capital-city and metropolitan regions than the native-born population. What is more, highly-educated migrants are more likely to locate in the same regions where the highly-educated natives concentrate, a trend that is not observed for the low-educated foreign-born. Integration outcomes of migrants, relative to the native-born, are measured through a variety of labour market and housing indicators. The paper also provides preliminary findings on public attitudes towards migrants across regions, which suggest that attitudes tend to be more positive in regions with larger shares of foreign-born population.
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (lizenzpflichtig)
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  • 2
    Language: English
    Pages: 1 Online-Ressource (circa 29 Seiten) , Illustrationen
    Series Statement: OECD regional development working papers 2019, 06
    Keywords: Urban, Rural and Regional Development ; Amtsdruckschrift ; Graue Literatur
    Abstract: This paper provides a method to classify TL3regions across OECD countries based on their level of access to metropolitan areas. TL3 regions are classified as ‘metropolitan’ if more than half of their population lives in one or more functional urban area (FUA) of at least 250 thousand inhabitants and as ‘non-metropolitan’ otherwise. The method sub-classifies metropolitan regions into ‘large metro’ or ‘metro’ regions based on the population size of the FUAs located within those regions. Non-metropolitan TL3 regions are sub-classified into: with accessto a metro, with access to a small/medium city, or remote based on their level of access to a FUA with population above a predetermined threshold. The method relies on publicly available grid-level population data and localised information on driving conditions.
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  • 3
    Language: English
    Pages: 1 Online-Ressource (circa 19 Seiten) , Illustrationen
    Series Statement: OECD regional development working papers 2019, 11
    Keywords: Urban, Rural and Regional Development ; Amtsdruckschrift ; Graue Literatur
    Abstract: This paper describes the EU-OECD method to define functional urban areas (FUAs). Being composed of a city and its commuting zone, FUAs encompass the economic and functional extent of cities based on daily people’s movements. The paper first presents briefly the methodological approach and subsequently provides a detailed description of the identification algorithm, together with the data needed to apply it. This definition has been applied to 33 OECD member countries and Colombia, as well as to all European Union member countries.
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  • 4
    Language: English
    Pages: Online-Ressource (28 S.) , graph. Darst.
    Series Statement: OECD regional development working papers 2015/01
    Keywords: 2001 - 2011 ; Suburbanisierung ; Stadtstruktur ; Stadtwachstum ; Trend ; OECD-Staaten ; Urban, Rural and Regional Development ; Arbeitspapier ; Graue Literatur
    Abstract: This paper presents an analysis of urban spatial structure and its trends in the OECD between 2001 and 2011. It does so by using a standardised definition of urban areas in 29 OECD countries as composed of high density cores and their respective commuting zones. While urban population is growing everywhere, the way in which populations locate throughout the urban space differs across OECD cities and countries. The prevalent trend is an increasing dispersion of the population, with growth taking place outside existing centres. However, in specific countries, there are cities experiencing a higher growth in their central cores, while others are strengthening their polycentric structures. Overall, the population has grown more in relatively low-density locations close to the main centre, but outside it. Closeness to sub-centres also proves to be a strong advantage for growth and suggests the emergence of new centralities shaping urban spatial structures.
    Note: Systemvoraussetzungen: Acrobat Reader.
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  • 5
    Language: English
    Pages: 1 Online-Ressource (circa 39 Seiten) , graph. Darst.
    Series Statement: OECD statistics working papers 2016, 01
    Keywords: 2000 -2012 ; Wirtschaftswachstum ; Soziale Integration ; Lebensstandard ; OECD-Staaten ; Economics ; Amtsdruckschrift ; Arbeitspapier ; Graue Literatur
    Abstract: This paper applies the Inclusive Growth framework to the OECD Regional Well-being Database in order to compute multidimensional living standards (MDLS) among OECD regions from the early 2000s to 2012. MDLS are based on the equivalent income approach, where, for different income groups, the monetised value of health status and unemployment are added to disposable income and aggregated with a generalised mean function to allow inequality to be taken into account. Results highlight that, due to the spatial concentration of good and bad outcomes, regional disparities are amplified when observed through the lens of MDLS as opposed to income-based regional disparities. The paper also shows that people living in metropolitan regions experienced, on average, higher levels of MDLS but also a sharper decline during the economic crisis. Growth of MDLS in metropolitan regions during this period was characterised by a higher contribution of life expectancy and a lower contribution of income inequality with respect to the other regions.
    Note: Zusammenfassung in französischer Sprache
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  • 6
    Language: English
    Pages: 1 Online-Ressource (33 p.)
    Series Statement: OECD Regional Development Papers no.21
    Keywords: Coronavirus ; Epidemie ; Sterblichkeit ; Räumliche Verteilung ; OECD-Staaten ; EU-Staaten ; Urban, Rural and Regional Development
    Abstract: This paper analyses the uneven geography of the COVID-19 health impact in OECD and European countries. It first describes the increase in all-cause mortality – i.e. excess mortality – across subnational regions between January and December 2020. Subsequently, it investigates the regional factors associated with higher excess mortality, looking at demographic, socio-economic, institutional and environmental features of regions. Results show that excess mortality has a significant spatial dimension, with the hardest hit regions having excess mortality rates that were, on average, 17 percentage points higher than the least affected regions in the same country. During the first year of the pandemic, lower health system capacity, followed by population density, air pollution, share of elderly population and lower institutional quality were associated with higher excess mortality. While health system capacity and population density have been strongly associated to excess mortality throughout the COVID-19 crisis, trust in government and air pollution showed stronger correlations with excess mortality in the later phases of the pandemic. Finally, prolonged remote working, particularly after two-months, is also associated with lower excess mortality.
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  • 7
    Language: English
    Pages: 1 Online-Ressource (49 Seiten) , 21 x 28cm.
    Series Statement: OECD Regional Development Papers no.28
    Keywords: Urban, Rural and Regional Development
    Abstract: Over time, cities expand their physical footprint on land and new cities emerge. The shape of the built environment can affect several domains which are policy relevant, such as carbon emissions, housing affordability, infrastructure costs, and access to services. This study lays a methodological basis for the monitoring and consistent comparison of land use across OECD cities. An advanced form of deep learning, namely the U-Net model, is used to classify land cover and land use in EC-ESA satellite imagery for 2021. This complements conventional statistical data by monitoring large surfaces of land efficiently and in near real-time. In specific, following the availability of detailed data for model training, built-up areas in residential or business-related use are mapped and analysed for 687 European metropolitan areas, as a case application. Recent urban expansion’s speed and shape are explored, as well as the potential for assessing land use in cities beyond Europe.
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  • 8
    Language: English
    Pages: 1 Online-Ressource (circa 39 Seiten) , Illustrationen
    Series Statement: OECD regional development working papers 2016, 06
    Keywords: Haushaltseinkommen ; Soziale Ungleichheit ; Ballungsraum ; OECD-Staaten ; Urban, Rural and Regional Development ; Arbeitspapier ; Graue Literatur
    Abstract: This paper assesses levels and distribution of household disposable income in OECD metropolitan areas. All indicators were produced through a dedicated data collection, which, for most countries, uses administrative data from tax records available at detailed local scale (i.e. municipalities, local authorities, counties, etc.). Using different estimation techniques, we provide internationally comparable figures for 216 OECD metropolitan areas. The results highlight stark differences in both income levels and inequality within metropolitan areas, even for those belonging to the same country. Larger metropolitan areas feature, on average, higher levels of household disposable income but also higher income inequality. The paper then provides a measure of spatial segregation, or the extent to which households with similar incomes concentrate within a metropolitan area. On the governance side, the paper finds a stable and positive relationship between administratively fragmented metropolitan areas and spatial segregation by income.
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  • 9
    Language: English
    Pages: Online-Ressource (34 p.)
    Series Statement: OECD Regional Development Working Papers no.2014/10
    Keywords: Einkommensverteilung ; Stadtwachstum ; Stadtgröße ; Regionales Wachstum ; OECD-Staaten ; Urban, Rural and Regional Development ; Arbeitspapier ; Graue Literatur
    Abstract: The purpose of this paper is to understand how income inequality is associated with economic growth in OECD regions and whether the degree and type of urban concentration affects this relationship. Both income inequality and urban concentration can be seen as patterns of resource allocation that are particularly interlinked at the regional level. We combine household survey data and macroeconomic databases, covering a period ranging from 2004 to 2012 for comparable regions in 15 OECD countries. Econometric results show that, at least for the short period under consideration, there is a general negative association between inequalities and economic growth, especially since the start of the economic crisis. This relationship is sensitive to the type of urban structure. Higher inequalities seem to be more detrimental for growth in large cities, while regions characterised by small cities and rural areas are less affected.
    Note: Systemvoraussetzungen: Acrobat Reader.
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  • 10
    Language: English
    Pages: 1 Online-Ressource (45 Seiten) , 21 x 28cm.
    Series Statement: OECD Economics Department Working Papers no.1713
    Keywords: Economics
    Abstract: The paper introduces a novel, granular house-price dataset sourced from a network of public and private data providers. It offers the first results of investigations into changes in the urban geography of housing markets following the COVID-19 pandemic. The rapid rise of working from home practices is likely to incentivise many people to seek more space and accept living further away from city centres as commuting requirements are reduced. The paper's results indicate that housing demand might have indeed shifted away from the centres to the peripheries of many large urban areas. These early results also show that such a shift has been neither universal nor uniform. It is typically stronger in cities where pre-COVID-19 house price disparities were larger and where moving to the periphery provides significantly better access to green space while still allowing easy access to high-speed internet and/or where COVID-19 restrictions were more stringent. The paper concludes by discussing implications for policy, including the benefits of flexible settings that allow supply to adjust smoothly to new demand patterns and outlining avenues for future work planned to improve and capitalise on the new dataset.
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