The Role of Neighborhood in the Analysis of Spatial Economic Inequality
Spatial inequality measures should take into account the geographical position of the data of reference if the focus is on the spatial aspects of territorial inequality. However, these traditional spatial inequality measures like the Theil index do not distinguish among different locational situatio...
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Published in | Social indicators research Vol. 141; no. 1; pp. 245 - 273 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Dordrecht
Springer Science + Business Media
01.01.2019
Springer Netherlands Springer Nature B.V |
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Abstract | Spatial inequality measures should take into account the geographical position of the data of reference if the focus is on the spatial aspects of territorial inequality. However, these traditional spatial inequality measures like the Theil index do not distinguish among different locational situations. On the other hand, when analyzing the spatial decomposition of inequality, it is usual to express global inequality as a weighted sum of inequality values calculated for population subgroups (within component) plus the contribution arising out of differences among subgroup means (between component). Nevertheless, it is unclear whether the reported within and between contributions have been driven primarily by specific factors related to the spatial level of research or by neighborhood factors. The present paper has two main objectives. The first consists into propose a simple way to measure the role of the geographical position in economic inequality. The second aim is to provide an approach to decompose global inequality into its within-country and between-country components assessing which part of these components could be related to neighborhood factors. The proposals are illustrated for the case of European countries. Inequality within each of the countries and inequality between countries can be filtered of neighborhood components, showing inequality components related to specific (local) factors. For a considered spatial level, this exploratory approach can highlight the relevance of future place-based policies versus policies able to support and promote regional neighborhoods. |
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AbstractList | Spatial inequality measures should take into account the geographical position of the data of reference if the focus is on the spatial aspects of territorial inequality. However, these traditional spatial inequality measures like the Theil index do not distinguish among different locational situations. On the other hand, when analyzing the spatial decomposition of inequality, it is usual to express global inequality as a weighted sum of inequality values calculated for population subgroups (within component) plus the contribution arising out of differences among subgroup means (between component). Nevertheless, it is unclear whether the reported within and between contributions have been driven primarily by specific factors related to the spatial level of research or by neighborhood factors. The present paper has two main objectives. The first consists into propose a simple way to measure the role of the geographical position in economic inequality. The second aim is to provide an approach to decompose global inequality into its within-country and between-country components assessing which part of these components could be related to neighborhood factors. The proposals are illustrated for the case of European countries. Inequality within each of the countries and inequality between countries can be filtered of neighborhood components, showing inequality components related to specific (local) factors. For a considered spatial level, this exploratory approach can highlight the relevance of future place-based policies versus policies able to support and promote regional neighborhoods. |
Author | Lufin, Marcelo Lasarte, Elena Márquez, Miguel A. |
Author_xml | – sequence: 1 givenname: Miguel A. surname: Márquez fullname: Márquez, Miguel A. – sequence: 2 givenname: Elena surname: Lasarte fullname: Lasarte, Elena – sequence: 3 givenname: Marcelo surname: Lufin fullname: Lufin, Marcelo |
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CitedBy_id | crossref_primary_10_1080_07352166_2022_2105707 crossref_primary_10_1111_pirs_12644 crossref_primary_10_1177_0282423X241244920 crossref_primary_10_1007_s11205_019_02208_7 crossref_primary_10_1093_jrsssa_qnad083 crossref_primary_10_1111_pirs_12495 crossref_primary_10_3390_f9090531 crossref_primary_10_1111_rsp3_12482 crossref_primary_10_29117_sbe_2019_0113 crossref_primary_10_1080_00343404_2021_1910228 crossref_primary_10_1016_j_apgeog_2022_102638 crossref_primary_10_1016_j_jeca_2021_e00211 crossref_primary_10_1111_rsp3_12497 crossref_primary_10_1080_17535069_2024_2341254 crossref_primary_10_1177_0276146720957382 crossref_primary_10_1080_17421772_2020_1775876 |
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SubjectTerms | Components Economic inequality Economics Human Geography Inequality Microeconomics Neighborhoods ORIGINAL RESEARCH Public Health Quality of Life Research Social Sciences Sociology Spatial analysis Spatial aspects |
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Title | The Role of Neighborhood in the Analysis of Spatial Economic Inequality |
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