The rural-urban poverty gap in England after the 2008 financial crisis : exploring the effects of budgetary cuts and welfare reforms

Gespeichert in:

Autor*in:	Vera-Toscano, Esperanza [verfasserIn] Shucksmith, Mark - 1953- [verfasserIn] Brown, David L. - 1945- [verfasserIn] Brown, Heather W. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	austerity housing costs rural poverty rural-urban poverty gap welfare cuts

Übergeordnetes Werk:	Enthalten in: Regional studies - London [u.a.] : Taylor & Francis, 1967, 58(2024), 6, Seite 1264-1281
Übergeordnetes Werk:	volume:58 ; year:2024 ; number:6 ; pages:1264-1281

Links:	Link aufrufen Link aufrufen

DOI / URN:	10.1080/00343404.2023.2235374

Katalog-ID:	1892199718

Internformat


LEADER	01000naa a2200265 4500
001	1892199718
003	DE-627
005	20240625164330.0
007	cr uuu---uuuuu
008	240625s2024 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.1080/00343404.2023.2235374 \|2 doi
035			\|a (DE-627)1892199718
035			\|a (DE-599)KXP1892199718
040			\|a DE-627 \|b ger \|c DE-627 \|e rda
041			\|a eng
100	1		\|a Vera-Toscano, Esperanza \|e verfasserin \|0 (DE-588)171860098 \|0 (DE-627)325093466 \|0 (DE-576)132619830 \|4 aut
245	1	4	\|a The rural-urban poverty gap in England after the 2008 financial crisis \|b exploring the effects of budgetary cuts and welfare reforms \|c Esperanza Vera-Toscano, Mark Shucksmith, David L. Brown and Heather Brown
264		1	\|c 2024
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
650		4	\|a austerity \|7 (dpeaa)DE-206
650		4	\|a housing costs \|7 (dpeaa)DE-206
650		4	\|a rural poverty \|7 (dpeaa)DE-206
650		4	\|a rural-urban poverty gap \|7 (dpeaa)DE-206
650		4	\|a welfare cuts \|7 (dpeaa)DE-206
700	1		\|a Shucksmith, Mark \|d 1953- \|e verfasserin \|0 (DE-588)1022226851 \|0 (DE-627)716940868 \|0 (DE-576)365013579 \|4 aut
700	1		\|a Brown, David L. \|d 1945- \|e verfasserin \|0 (DE-588)170228762 \|0 (DE-627)060285966 \|0 (DE-576)131130854 \|4 aut
700	1		\|a Brown, Heather W. \|e verfasserin \|0 (DE-588)1075915066 \|0 (DE-627)834031086 \|0 (DE-576)444744754 \|4 aut
773	0	8	\|i Enthalten in \|t Regional studies \|d London [u.a.] : Taylor & Francis, 1967 \|g 58(2024), 6, Seite 1264-1281 \|h Online-Ressource \|w (DE-627)315676264 \|w (DE-600)2001685-2 \|w (DE-576)090954599 \|x 1360-0591 \|7 nnns
773	1	8	\|g volume:58 \|g year:2024 \|g number:6 \|g pages:1264-1281
856	4	0	\|u https://www.tandfonline.com/doi/pdf/10.1080/00343404.2023.2235374 \|x Verlag \|z kostenfrei
856	4	0	\|u https://doi.org/10.1080/00343404.2023.2235374 \|x Resolving-System \|z kostenfrei
912			\|a GBV_USEFLAG_U
912			\|a GBV_ILN_26
912			\|a ISIL_DE-206
912			\|a SYSFLAG_1
912			\|a GBV_KXP
912			\|a GBV_ILN_11
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_60
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_100
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_224
912			\|a GBV_ILN_285
912			\|a GBV_ILN_370
912			\|a GBV_ILN_647
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2007
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2010
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2026
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2057
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2093
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2108
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2147
912			\|a GBV_ILN_2148
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2232
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2470
912			\|a GBV_ILN_2472
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_2548
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4046
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4393
912			\|a GBV_ILN_4700
912			\|a GBV_ILN_2403
912			\|a GBV_ILN_2403
912			\|a ISIL_DE-LFER
951			\|a AR
952			\|d 58 \|j 2024 \|e 6 \|h 1264-1281
980			\|2 26 \|1 01 \|x 0206 \|b 4541724049 \|y x1z \|z 25-06-24
980			\|2 2403 \|1 01 \|x DE-LFER \|b 4548281762 \|c 00 \|f --%%-- \|d --%%-- \|e n \|j --%%-- \|y l01 \|z 09-07-24
981			\|2 2403 \|1 01 \|x DE-LFER \|r https://doi.org/10.1080/00343404.2023.2235374
981			\|2 2403 \|1 01 \|x DE-LFER \|r https://www.tandfonline.com/doi/pdf/10.1080/00343404.2023.2235374
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.

Indexfelder

author_variant	e v t evt m s ms d l b dl dlb h w b hw hwb
matchkey_str	article:13600591:2024----::hrrlrapvryaiegadfete0
hierarchy_sort_str	2024
publishDate	2024
allfields	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.
allfieldsGer	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.
allfieldsSound	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.
language	English
source	Enthalten in Regional studies 58(2024), 6, Seite 1264-1281 volume:58 year:2024 number:6 pages:1264-1281
sourceStr	Enthalten in Regional studies 58(2024), 6, Seite 1264-1281 volume:58 year:2024 number:6 pages:1264-1281
format_phy_str_mv	Article
building	26:1 2403:0
institution	findex.gbv.de
selectbib_iln_str_mv	26@1z 2403@01
topic_facet	austerity housing costs rural poverty rural-urban poverty gap welfare cuts
sw_local_iln_str_mv	26: DE-206:
isfreeaccess_bool	true
container_title	Regional studies
authorswithroles_txt_mv	Vera-Toscano, Esperanza @@aut@@ Shucksmith, Mark @@aut@@ Brown, David L. @@aut@@ Brown, Heather W. @@aut@@
publishDateDaySort_date	2024-01-01T00:00:00Z
hierarchy_top_id	315676264
id	1892199718
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a2200265 4500</leader><controlfield tag="001">1892199718</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240625164330.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240625s2024 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1080/00343404.2023.2235374</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)1892199718</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KXP1892199718</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Vera-Toscano, Esperanza</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)171860098</subfield><subfield code="0">(DE-627)325093466</subfield><subfield code="0">(DE-576)132619830</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The rural-urban poverty gap in England after the 2008 financial crisis</subfield><subfield code="b">exploring the effects of budgetary cuts and welfare reforms</subfield><subfield code="c">Esperanza Vera-Toscano, Mark Shucksmith, David L. Brown and Heather Brown</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2024</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">austerity</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">housing costs</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">rural poverty</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">rural-urban poverty gap</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">welfare cuts</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shucksmith, Mark</subfield><subfield code="d">1953-</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)1022226851</subfield><subfield code="0">(DE-627)716940868</subfield><subfield code="0">(DE-576)365013579</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Brown, David L.</subfield><subfield code="d">1945-</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)170228762</subfield><subfield code="0">(DE-627)060285966</subfield><subfield code="0">(DE-576)131130854</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Brown, Heather W.</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)1075915066</subfield><subfield code="0">(DE-627)834031086</subfield><subfield code="0">(DE-576)444744754</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Regional studies</subfield><subfield code="d">London [u.a.] : Taylor & Francis, 1967</subfield><subfield code="g">58(2024), 6, Seite 1264-1281</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)315676264</subfield><subfield code="w">(DE-600)2001685-2</subfield><subfield code="w">(DE-576)090954599</subfield><subfield code="x">1360-0591</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:58</subfield><subfield code="g">year:2024</subfield><subfield code="g">number:6</subfield><subfield code="g">pages:1264-1281</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.tandfonline.com/doi/pdf/10.1080/00343404.2023.2235374</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1080/00343404.2023.2235374</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_26</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_1</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_KXP</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_647</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2057</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2065</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2093</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2113</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2118</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2472</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2548</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2403</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2403</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-LFER</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">58</subfield><subfield code="j">2024</subfield><subfield code="e">6</subfield><subfield code="h">1264-1281</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">01</subfield><subfield code="x">0206</subfield><subfield code="b">4541724049</subfield><subfield code="y">x1z</subfield><subfield code="z">25-06-24</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2403</subfield><subfield code="1">01</subfield><subfield code="x">DE-LFER</subfield><subfield code="b">4548281762</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">n</subfield><subfield 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>
standort_str_mv	--%%--
standort_iln_str_mv	2403:--%%-- DE-LFER:--%%--
author	Vera-Toscano, Esperanza
spellingShingle	Vera-Toscano, Esperanza misc austerity misc housing costs misc rural poverty misc rural-urban poverty gap misc welfare cuts The rural-urban poverty gap in England after the 2008 financial crisis exploring the effects of budgetary cuts and welfare reforms
authorStr	Vera-Toscano, Esperanza
ppnlink_with_tag_str_mv	@@773@@(DE-627)315676264
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut aut
typewithnormlink_str_mv	Person@(DE-588)171860098 DifferentiatedPerson@(DE-588)171860098 DifferentiatedPerson@(DE-588)1022226851 Person@(DE-588)1022226851 Person@(DE-588)170228762 DifferentiatedPerson@(DE-588)170228762 DifferentiatedPerson@(DE-588)1075915066 Person@(DE-588)1075915066
collection	KXP GVK SWB
remote_str	true
last_changed_iln_str_mv	26@25-06-24 2403@09-07-24
illustrated	Not Illustrated
issn	1360-0591
topic_title	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
topic	misc austerity misc housing costs misc rural poverty misc rural-urban poverty gap misc welfare cuts
topic_unstemmed	misc austerity misc housing costs misc rural poverty misc rural-urban poverty gap misc welfare cuts
topic_browse	misc austerity misc housing costs misc rural poverty misc rural-urban poverty gap misc welfare cuts
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
standort_txtP_mv	--%%--
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Regional studies
normlinkwithtype_str_mv	(DE-588)171860098@Person (DE-588)171860098@DifferentiatedPerson (DE-588)1022226851@DifferentiatedPerson (DE-588)1022226851@Person (DE-588)170228762@Person (DE-588)170228762@DifferentiatedPerson (DE-588)1075915066@DifferentiatedPerson (DE-588)1075915066@Person
hierarchy_parent_id	315676264
signature	--%%--
signature_str_mv	--%%--
hierarchy_top_title	Regional studies
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)315676264 (DE-600)2001685-2 (DE-576)090954599
normlinkwithrole_str_mv	(DE-588)171860098@@aut@@ (DE-588)1022226851@@aut@@ (DE-588)170228762@@aut@@ (DE-588)1075915066@@aut@@
title	The rural-urban poverty gap in England after the 2008 financial crisis exploring the effects of budgetary cuts and welfare reforms
ctrlnum	(DE-627)1892199718 (DE-599)KXP1892199718
title_full	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
author_sort	Vera-Toscano, Esperanza
journal	Regional studies
journalStr	Regional studies
callnumber-first-code	-
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2024
contenttype_str_mv	txt
container_start_page	1264
author_browse	Vera-Toscano, Esperanza Shucksmith, Mark Brown, David L. Brown, Heather W.
selectkey	26:x 2403:l
container_volume	58
format_se	Elektronische Aufsätze
author-letter	Vera-Toscano, Esperanza
title_sub	exploring the effects of budgetary cuts and welfare reforms
doi_str_mv	10.1080/00343404.2023.2235374
normlink	171860098 325093466 132619830 1022226851 716940868 365013579 170228762 060285966 131130854 1075915066 834031086 444744754
normlink_prefix_str_mv	(DE-588)171860098 (DE-627)325093466 (DE-576)132619830 (DE-588)1022226851 (DE-627)716940868 (DE-576)365013579 (DE-588)170228762 (DE-627)060285966 (DE-576)131130854 (DE-588)1075915066 (DE-627)834031086 (DE-576)444744754
author2-role	verfasserin
title_sort	rural-urban poverty gap in england after the 2008 financial crisisexploring the effects of budgetary cuts and welfare reforms
title_auth	The rural-urban poverty gap in England after the 2008 financial crisis exploring the effects of budgetary cuts and welfare reforms
collection_details	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 ISIL_DE-LFER
container_issue	6
title_short	The rural-urban poverty gap in England after the 2008 financial crisis
url	https://www.tandfonline.com/doi/pdf/10.1080/00343404.2023.2235374 https://doi.org/10.1080/00343404.2023.2235374
ausleihindikator_str_mv	26 2403:n
rolewithnormlink_str_mv	@@aut@@(DE-588)171860098 @@aut@@(DE-588)1022226851 @@aut@@(DE-588)170228762 @@aut@@(DE-588)1075915066
remote_bool	true
author2	Shucksmith, Mark 1953- Brown, David L. 1945- Brown, Heather W.
author2Str	Shucksmith, Mark 1953- Brown, David L. 1945- Brown, Heather W.
ppnlink	315676264
GND_str_mv	Vera-Toscano, E. Vera-Toscano, Esperanza Shucksmith, David Mark Shucksmith, Mark Brown, David Louis Brown, David L. Brown, Heather Wendy Brown, Heather Brown, Heather W.
GND_txt_mv	Vera-Toscano, E. Vera-Toscano, Esperanza Shucksmith, David Mark Shucksmith, Mark Brown, David Louis Brown, David L. Brown, Heather Wendy Brown, Heather Brown, Heather W.
GND_txtF_mv	Vera-Toscano, E. Vera-Toscano, Esperanza Shucksmith, David Mark Shucksmith, Mark Brown, David Louis Brown, David L. Brown, Heather Wendy Brown, Heather Brown, Heather W.
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.1080/00343404.2023.2235374
callnumber-a	--%%--
up_date	2024-07-10T21:05:07.989Z
_version_	1804227584186122240
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a2200265 4500</leader><controlfield tag="001">1892199718</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240625164330.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240625s2024 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1080/00343404.2023.2235374</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)1892199718</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KXP1892199718</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Vera-Toscano, Esperanza</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)171860098</subfield><subfield code="0">(DE-627)325093466</subfield><subfield code="0">(DE-576)132619830</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The rural-urban poverty gap in England after the 2008 financial crisis</subfield><subfield code="b">exploring the effects of budgetary cuts and welfare reforms</subfield><subfield code="c">Esperanza Vera-Toscano, Mark Shucksmith, David L. Brown and Heather Brown</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2024</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">austerity</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">housing costs</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">rural poverty</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">rural-urban poverty gap</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">welfare cuts</subfield><subfield code="7">(dpeaa)DE-206</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shucksmith, Mark</subfield><subfield code="d">1953-</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)1022226851</subfield><subfield code="0">(DE-627)716940868</subfield><subfield code="0">(DE-576)365013579</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Brown, David L.</subfield><subfield code="d">1945-</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)170228762</subfield><subfield code="0">(DE-627)060285966</subfield><subfield code="0">(DE-576)131130854</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Brown, Heather W.</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(DE-588)1075915066</subfield><subfield code="0">(DE-627)834031086</subfield><subfield code="0">(DE-576)444744754</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Regional studies</subfield><subfield code="d">London [u.a.] : Taylor & Francis, 1967</subfield><subfield code="g">58(2024), 6, Seite 1264-1281</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)315676264</subfield><subfield code="w">(DE-600)2001685-2</subfield><subfield code="w">(DE-576)090954599</subfield><subfield code="x">1360-0591</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:58</subfield><subfield code="g">year:2024</subfield><subfield code="g">number:6</subfield><subfield code="g">pages:1264-1281</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.tandfonline.com/doi/pdf/10.1080/00343404.2023.2235374</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1080/00343404.2023.2235374</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_26</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_1</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_KXP</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_647</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2057</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2065</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2093</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2113</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2118</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2472</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2548</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2403</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2403</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-LFER</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">58</subfield><subfield code="j">2024</subfield><subfield code="e">6</subfield><subfield code="h">1264-1281</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">26</subfield><subfield code="1">01</subfield><subfield code="x">0206</subfield><subfield code="b">4541724049</subfield><subfield code="y">x1z</subfield><subfield code="z">25-06-24</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2403</subfield><subfield code="1">01</subfield><subfield code="x">DE-LFER</subfield><subfield code="b">4548281762</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">n</subfield><subfield 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>
score	7.1678085

Nicht das Richtige dabei?

Schreiben Sie uns!

The rural-urban poverty gap in England after the 2008 financial crisis : exploring the effects of budgetary cuts and welfare reforms

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?