The rural-urban poverty gap in England after the 2008 financial crisis : exploring the effects of budgetary cuts and welfare reforms
Autor*in: |
Vera-Toscano, Esperanza [verfasserIn] Shucksmith, Mark - 1953- [verfasserIn] Brown, David L. - 1945- [verfasserIn] Brown, Heather W. [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2024 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Regional studies - London [u.a.] : Taylor & Francis, 1967, 58(2024), 6, Seite 1264-1281 |
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Übergeordnetes Werk: |
volume:58 ; year:2024 ; number:6 ; pages:1264-1281 |
Links: |
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DOI / URN: |
10.1080/00343404.2023.2235374 |
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Katalog-ID: |
1892199718 |
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982 | |2 26 |1 00 |x DE-206 |b A rural–urban poverty gap exists in most countries around the world, and this paper employs a novel approach to explain this difference, using logistic regression to examine the effects of rural–urban residence type, individual socio-economic and demographic characteristics, and changes in government policies on the likelihood of being poor in England. Unusually, rural areas in England have lower poverty rates than urban areas, so the direction of the typical rural–urban poverty gap is reversed, but the method employed here would be applicable in either direction. We disaggregate micro-data from the Understanding Society Survey (USS) into three residence types (predominantly rural; significantly rural and predominantly urban), and combine these USS data with information on changes in councils’ spending power, in service spending and in per capita income lost from cuts to welfare benefits since 2010. The results demonstrate that rural residence provides a buffer against poverty in England, a so-called ‘rural advantage effect’, but this is reduced or becomes non-significant after controlling for individual socio-economic and demographic characteristics and changes in government policies. Furthermore, working-age poverty has increased more rapidly in rural areas than urban between 2010 and 2018. Our analysis also reveals how national policies have differential spatial impacts on local populations according to their diverse characteristics. |
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10.1080/00343404.2023.2235374 doi (DE-627)1892199718 (DE-599)KXP1892199718 DE-627 ger DE-627 rda eng Vera-Toscano, Esperanza verfasserin (DE-588)171860098 (DE-627)325093466 (DE-576)132619830 aut The rural-urban poverty gap in England after the 2008 financial crisis exploring the effects of budgetary cuts and welfare reforms Esperanza Vera-Toscano, Mark Shucksmith, David L. Brown and Heather Brown 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier austerity (dpeaa)DE-206 housing costs (dpeaa)DE-206 rural poverty (dpeaa)DE-206 rural-urban poverty gap (dpeaa)DE-206 welfare cuts (dpeaa)DE-206 Shucksmith, Mark 1953- verfasserin (DE-588)1022226851 (DE-627)716940868 (DE-576)365013579 aut Brown, David L. 1945- verfasserin (DE-588)170228762 (DE-627)060285966 (DE-576)131130854 aut Brown, Heather W. verfasserin (DE-588)1075915066 (DE-627)834031086 (DE-576)444744754 aut Enthalten in Regional studies London [u.a.] : Taylor & Francis, 1967 58(2024), 6, Seite 1264-1281 Online-Ressource (DE-627)315676264 (DE-600)2001685-2 (DE-576)090954599 1360-0591 nnns volume:58 year:2024 number:6 pages:1264-1281 https://www.tandfonline.com/doi/pdf/10.1080/00343404.2023.2235374 Verlag kostenfrei https://doi.org/10.1080/00343404.2023.2235374 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_31 GBV_ILN_39 GBV_ILN_60 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_100 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 58 2024 6 1264-1281 26 01 0206 4541724049 x1z 25-06-24 2403 01 DE-LFER 4548281762 00 --%%-- --%%-- n --%%-- l01 09-07-24 2403 01 DE-LFER https://doi.org/10.1080/00343404.2023.2235374 2403 01 DE-LFER https://www.tandfonline.com/doi/pdf/10.1080/00343404.2023.2235374 26 00 DE-206 A rural–urban poverty gap exists in most countries around the world, and this paper employs a novel approach to explain this difference, using logistic regression to examine the effects of rural–urban residence type, individual socio-economic and demographic characteristics, and changes in government policies on the likelihood of being poor in England. Unusually, rural areas in England have lower poverty rates than urban areas, so the direction of the typical rural–urban poverty gap is reversed, but the method employed here would be applicable in either direction. We disaggregate micro-data from the Understanding Society Survey (USS) into three residence types (predominantly rural; significantly rural and predominantly urban), and combine these USS data with information on changes in councils’ spending power, in service spending and in per capita income lost from cuts to welfare benefits since 2010. The results demonstrate that rural residence provides a buffer against poverty in England, a so-called ‘rural advantage effect’, but this is reduced or becomes non-significant after controlling for individual socio-economic and demographic characteristics and changes in government policies. Furthermore, working-age poverty has increased more rapidly in rural areas than urban between 2010 and 2018. Our analysis also reveals how national policies have differential spatial impacts on local populations according to their diverse characteristics. |
spelling |
10.1080/00343404.2023.2235374 doi (DE-627)1892199718 (DE-599)KXP1892199718 DE-627 ger DE-627 rda eng Vera-Toscano, Esperanza verfasserin (DE-588)171860098 (DE-627)325093466 (DE-576)132619830 aut The rural-urban poverty gap in England after the 2008 financial crisis exploring the effects of budgetary cuts and welfare reforms Esperanza Vera-Toscano, Mark Shucksmith, David L. Brown and Heather Brown 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier austerity (dpeaa)DE-206 housing costs (dpeaa)DE-206 rural poverty (dpeaa)DE-206 rural-urban poverty gap (dpeaa)DE-206 welfare cuts (dpeaa)DE-206 Shucksmith, Mark 1953- verfasserin (DE-588)1022226851 (DE-627)716940868 (DE-576)365013579 aut Brown, David L. 1945- verfasserin (DE-588)170228762 (DE-627)060285966 (DE-576)131130854 aut Brown, Heather W. verfasserin (DE-588)1075915066 (DE-627)834031086 (DE-576)444744754 aut Enthalten in Regional studies London [u.a.] : Taylor & Francis, 1967 58(2024), 6, Seite 1264-1281 Online-Ressource (DE-627)315676264 (DE-600)2001685-2 (DE-576)090954599 1360-0591 nnns volume:58 year:2024 number:6 pages:1264-1281 https://www.tandfonline.com/doi/pdf/10.1080/00343404.2023.2235374 Verlag kostenfrei https://doi.org/10.1080/00343404.2023.2235374 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_31 GBV_ILN_39 GBV_ILN_60 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_100 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 58 2024 6 1264-1281 26 01 0206 4541724049 x1z 25-06-24 2403 01 DE-LFER 4548281762 00 --%%-- --%%-- n --%%-- l01 09-07-24 2403 01 DE-LFER https://doi.org/10.1080/00343404.2023.2235374 2403 01 DE-LFER https://www.tandfonline.com/doi/pdf/10.1080/00343404.2023.2235374 26 00 DE-206 A rural–urban poverty gap exists in most countries around the world, and this paper employs a novel approach to explain this difference, using logistic regression to examine the effects of rural–urban residence type, individual socio-economic and demographic characteristics, and changes in government policies on the likelihood of being poor in England. Unusually, rural areas in England have lower poverty rates than urban areas, so the direction of the typical rural–urban poverty gap is reversed, but the method employed here would be applicable in either direction. We disaggregate micro-data from the Understanding Society Survey (USS) into three residence types (predominantly rural; significantly rural and predominantly urban), and combine these USS data with information on changes in councils’ spending power, in service spending and in per capita income lost from cuts to welfare benefits since 2010. The results demonstrate that rural residence provides a buffer against poverty in England, a so-called ‘rural advantage effect’, but this is reduced or becomes non-significant after controlling for individual socio-economic and demographic characteristics and changes in government policies. Furthermore, working-age poverty has increased more rapidly in rural areas than urban between 2010 and 2018. Our analysis also reveals how national policies have differential spatial impacts on local populations according to their diverse characteristics. |
allfields_unstemmed |
10.1080/00343404.2023.2235374 doi (DE-627)1892199718 (DE-599)KXP1892199718 DE-627 ger DE-627 rda eng Vera-Toscano, Esperanza verfasserin (DE-588)171860098 (DE-627)325093466 (DE-576)132619830 aut The rural-urban poverty gap in England after the 2008 financial crisis exploring the effects of budgetary cuts and welfare reforms Esperanza Vera-Toscano, Mark Shucksmith, David L. Brown and Heather Brown 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier austerity (dpeaa)DE-206 housing costs (dpeaa)DE-206 rural poverty (dpeaa)DE-206 rural-urban poverty gap (dpeaa)DE-206 welfare cuts (dpeaa)DE-206 Shucksmith, Mark 1953- verfasserin (DE-588)1022226851 (DE-627)716940868 (DE-576)365013579 aut Brown, David L. 1945- verfasserin (DE-588)170228762 (DE-627)060285966 (DE-576)131130854 aut Brown, Heather W. verfasserin (DE-588)1075915066 (DE-627)834031086 (DE-576)444744754 aut Enthalten in Regional studies London [u.a.] : Taylor & Francis, 1967 58(2024), 6, Seite 1264-1281 Online-Ressource (DE-627)315676264 (DE-600)2001685-2 (DE-576)090954599 1360-0591 nnns volume:58 year:2024 number:6 pages:1264-1281 https://www.tandfonline.com/doi/pdf/10.1080/00343404.2023.2235374 Verlag kostenfrei https://doi.org/10.1080/00343404.2023.2235374 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_31 GBV_ILN_39 GBV_ILN_60 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_100 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 58 2024 6 1264-1281 26 01 0206 4541724049 x1z 25-06-24 2403 01 DE-LFER 4548281762 00 --%%-- --%%-- n --%%-- l01 09-07-24 2403 01 DE-LFER https://doi.org/10.1080/00343404.2023.2235374 2403 01 DE-LFER https://www.tandfonline.com/doi/pdf/10.1080/00343404.2023.2235374 26 00 DE-206 A rural–urban poverty gap exists in most countries around the world, and this paper employs a novel approach to explain this difference, using logistic regression to examine the effects of rural–urban residence type, individual socio-economic and demographic characteristics, and changes in government policies on the likelihood of being poor in England. Unusually, rural areas in England have lower poverty rates than urban areas, so the direction of the typical rural–urban poverty gap is reversed, but the method employed here would be applicable in either direction. We disaggregate micro-data from the Understanding Society Survey (USS) into three residence types (predominantly rural; significantly rural and predominantly urban), and combine these USS data with information on changes in councils’ spending power, in service spending and in per capita income lost from cuts to welfare benefits since 2010. The results demonstrate that rural residence provides a buffer against poverty in England, a so-called ‘rural advantage effect’, but this is reduced or becomes non-significant after controlling for individual socio-economic and demographic characteristics and changes in government policies. Furthermore, working-age poverty has increased more rapidly in rural areas than urban between 2010 and 2018. Our analysis also reveals how national policies have differential spatial impacts on local populations according to their diverse characteristics. |
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10.1080/00343404.2023.2235374 doi (DE-627)1892199718 (DE-599)KXP1892199718 DE-627 ger DE-627 rda eng Vera-Toscano, Esperanza verfasserin (DE-588)171860098 (DE-627)325093466 (DE-576)132619830 aut The rural-urban poverty gap in England after the 2008 financial crisis exploring the effects of budgetary cuts and welfare reforms Esperanza Vera-Toscano, Mark Shucksmith, David L. Brown and Heather Brown 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier austerity (dpeaa)DE-206 housing costs (dpeaa)DE-206 rural poverty (dpeaa)DE-206 rural-urban poverty gap (dpeaa)DE-206 welfare cuts (dpeaa)DE-206 Shucksmith, Mark 1953- verfasserin (DE-588)1022226851 (DE-627)716940868 (DE-576)365013579 aut Brown, David L. 1945- verfasserin (DE-588)170228762 (DE-627)060285966 (DE-576)131130854 aut Brown, Heather W. verfasserin (DE-588)1075915066 (DE-627)834031086 (DE-576)444744754 aut Enthalten in Regional studies London [u.a.] : Taylor & Francis, 1967 58(2024), 6, Seite 1264-1281 Online-Ressource (DE-627)315676264 (DE-600)2001685-2 (DE-576)090954599 1360-0591 nnns volume:58 year:2024 number:6 pages:1264-1281 https://www.tandfonline.com/doi/pdf/10.1080/00343404.2023.2235374 Verlag kostenfrei https://doi.org/10.1080/00343404.2023.2235374 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_31 GBV_ILN_39 GBV_ILN_60 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_100 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 58 2024 6 1264-1281 26 01 0206 4541724049 x1z 25-06-24 2403 01 DE-LFER 4548281762 00 --%%-- --%%-- n --%%-- l01 09-07-24 2403 01 DE-LFER https://doi.org/10.1080/00343404.2023.2235374 2403 01 DE-LFER https://www.tandfonline.com/doi/pdf/10.1080/00343404.2023.2235374 26 00 DE-206 A rural–urban poverty gap exists in most countries around the world, and this paper employs a novel approach to explain this difference, using logistic regression to examine the effects of rural–urban residence type, individual socio-economic and demographic characteristics, and changes in government policies on the likelihood of being poor in England. Unusually, rural areas in England have lower poverty rates than urban areas, so the direction of the typical rural–urban poverty gap is reversed, but the method employed here would be applicable in either direction. We disaggregate micro-data from the Understanding Society Survey (USS) into three residence types (predominantly rural; significantly rural and predominantly urban), and combine these USS data with information on changes in councils’ spending power, in service spending and in per capita income lost from cuts to welfare benefits since 2010. The results demonstrate that rural residence provides a buffer against poverty in England, a so-called ‘rural advantage effect’, but this is reduced or becomes non-significant after controlling for individual socio-economic and demographic characteristics and changes in government policies. Furthermore, working-age poverty has increased more rapidly in rural areas than urban between 2010 and 2018. Our analysis also reveals how national policies have differential spatial impacts on local populations according to their diverse characteristics. |
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10.1080/00343404.2023.2235374 doi (DE-627)1892199718 (DE-599)KXP1892199718 DE-627 ger DE-627 rda eng Vera-Toscano, Esperanza verfasserin (DE-588)171860098 (DE-627)325093466 (DE-576)132619830 aut The rural-urban poverty gap in England after the 2008 financial crisis exploring the effects of budgetary cuts and welfare reforms Esperanza Vera-Toscano, Mark Shucksmith, David L. Brown and Heather Brown 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier austerity (dpeaa)DE-206 housing costs (dpeaa)DE-206 rural poverty (dpeaa)DE-206 rural-urban poverty gap (dpeaa)DE-206 welfare cuts (dpeaa)DE-206 Shucksmith, Mark 1953- verfasserin (DE-588)1022226851 (DE-627)716940868 (DE-576)365013579 aut Brown, David L. 1945- verfasserin (DE-588)170228762 (DE-627)060285966 (DE-576)131130854 aut Brown, Heather W. verfasserin (DE-588)1075915066 (DE-627)834031086 (DE-576)444744754 aut Enthalten in Regional studies London [u.a.] : Taylor & Francis, 1967 58(2024), 6, Seite 1264-1281 Online-Ressource (DE-627)315676264 (DE-600)2001685-2 (DE-576)090954599 1360-0591 nnns volume:58 year:2024 number:6 pages:1264-1281 https://www.tandfonline.com/doi/pdf/10.1080/00343404.2023.2235374 Verlag kostenfrei https://doi.org/10.1080/00343404.2023.2235374 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_31 GBV_ILN_39 GBV_ILN_60 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_100 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 58 2024 6 1264-1281 26 01 0206 4541724049 x1z 25-06-24 2403 01 DE-LFER 4548281762 00 --%%-- --%%-- n --%%-- l01 09-07-24 2403 01 DE-LFER https://doi.org/10.1080/00343404.2023.2235374 2403 01 DE-LFER https://www.tandfonline.com/doi/pdf/10.1080/00343404.2023.2235374 26 00 DE-206 A rural–urban poverty gap exists in most countries around the world, and this paper employs a novel approach to explain this difference, using logistic regression to examine the effects of rural–urban residence type, individual socio-economic and demographic characteristics, and changes in government policies on the likelihood of being poor in England. Unusually, rural areas in England have lower poverty rates than urban areas, so the direction of the typical rural–urban poverty gap is reversed, but the method employed here would be applicable in either direction. We disaggregate micro-data from the Understanding Society Survey (USS) into three residence types (predominantly rural; significantly rural and predominantly urban), and combine these USS data with information on changes in councils’ spending power, in service spending and in per capita income lost from cuts to welfare benefits since 2010. The results demonstrate that rural residence provides a buffer against poverty in England, a so-called ‘rural advantage effect’, but this is reduced or becomes non-significant after controlling for individual socio-economic and demographic characteristics and changes in government policies. Furthermore, working-age poverty has increased more rapidly in rural areas than urban between 2010 and 2018. Our analysis also reveals how national policies have differential spatial impacts on local populations according to their diverse characteristics. |
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26 00 DE-206 A rural–urban poverty gap exists in most countries around the world, and this paper employs a novel approach to explain this difference, using logistic regression to examine the effects of rural–urban residence type, individual socio-economic and demographic characteristics, and changes in government policies on the likelihood of being poor in England. Unusually, rural areas in England have lower poverty rates than urban areas, so the direction of the typical rural–urban poverty gap is reversed, but the method employed here would be applicable in either direction. We disaggregate micro-data from the Understanding Society Survey (USS) into three residence types (predominantly rural; significantly rural and predominantly urban), and combine these USS data with information on changes in councils’ spending power, in service spending and in per capita income lost from cuts to welfare benefits since 2010. The results demonstrate that rural residence provides a buffer against poverty in England, a so-called ‘rural advantage effect’, but this is reduced or becomes non-significant after controlling for individual socio-economic and demographic characteristics and changes in government policies. Furthermore, working-age poverty has increased more rapidly in rural areas than urban between 2010 and 2018. Our analysis also reveals how national policies have differential spatial impacts on local populations according to their diverse characteristics The rural-urban poverty gap in England after the 2008 financial crisis exploring the effects of budgetary cuts and welfare reforms Esperanza Vera-Toscano, Mark Shucksmith, David L. Brown and Heather Brown austerity (dpeaa)DE-206 housing costs (dpeaa)DE-206 rural poverty (dpeaa)DE-206 rural-urban poverty gap (dpeaa)DE-206 welfare cuts (dpeaa)DE-206 |
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code="j">--%%--</subfield><subfield code="y">l01</subfield><subfield code="z">09-07-24</subfield></datafield><datafield tag="981" ind1=" " ind2=" "><subfield code="2">2403</subfield><subfield code="1">01</subfield><subfield code="x">DE-LFER</subfield><subfield code="r">https://doi.org/10.1080/00343404.2023.2235374</subfield></datafield><datafield tag="981" ind1=" " ind2=" "><subfield code="2">2403</subfield><subfield code="1">01</subfield><subfield code="x">DE-LFER</subfield><subfield code="r">https://www.tandfonline.com/doi/pdf/10.1080/00343404.2023.2235374</subfield></datafield><datafield tag="982" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">00</subfield><subfield code="x">DE-206</subfield><subfield code="b">A rural–urban poverty gap exists in most countries around the world, and this paper employs a novel approach to explain this difference, using logistic regression to examine the effects of rural–urban residence type, individual socio-economic and demographic characteristics, and changes in government policies on the likelihood of being poor in England. Unusually, rural areas in England have lower poverty rates than urban areas, so the direction of the typical rural–urban poverty gap is reversed, but the method employed here would be applicable in either direction. We disaggregate micro-data from the Understanding Society Survey (USS) into three residence types (predominantly rural; significantly rural and predominantly urban), and combine these USS data with information on changes in councils’ spending power, in service spending and in per capita income lost from cuts to welfare benefits since 2010. The results demonstrate that rural residence provides a buffer against poverty in England, a so-called ‘rural advantage effect’, but this is reduced or becomes non-significant after controlling for individual socio-economic and demographic characteristics and changes in government policies. Furthermore, working-age poverty has increased more rapidly in rural areas than urban between 2010 and 2018. Our analysis also reveals how national policies have differential spatial impacts on local populations according to their diverse characteristics.</subfield></datafield></record></collection>
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