feat(data): Extract Whitworth2021

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Marty Oehme 2023-12-09 13:02:51 +01:00
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4 changed files with 57 additions and 2 deletions

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@ -13834,7 +13834,7 @@ does NOT look at specific policy interventions}
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usage-count-since-2013 = {3}, usage-count-since-2013 = {3},
web-of-science-categories = {Environmental Studies; Geography; Regional \& Urban Planning}, web-of-science-categories = {Environmental Studies; Geography; Regional \& Urban Planning},
keywords = {country::Britain,inequality::spatial,region::EU,relevant,TODO::full-text,type::work\_programme}, keywords = {country::Britain,done::extracted,inequality::spatial,region::EU,relevant,type::work\_programme},
file = {/home/marty/Zotero/storage/R3RIUMNU/Whitworth_2021_Spatial creaming and parking.pdf} file = {/home/marty/Zotero/storage/R3RIUMNU/Whitworth_2021_Spatial creaming and parking.pdf}
} }

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@ -0,0 +1,47 @@
author: Whitworth, A.
year: 2021
title: "Spatial creaming and parking?: The case of the UK work programme"
publisher: Applied Spatial Analysis and Policy
uri: https://doi.org/10.1007/s12061-020-09349-0
pubtype: article
discipline: economics
country: United Kingdom
period: 2011-2017
maxlength: 72
targeting: implicit
group: unemployed
data: Department for Work and Pensions Work Programme statistics
design: observational
method: three-stage linear model
sample: 1494
unit: individual
representativeness: national
causal: 0 # 0 correlation / 1 causal
theory: social creaming & parking (used spatially)
limitations: no causal inferrence attempted
observation:
- intervention: work programme
institutional: 0
structural: 1
agency: 0
inequality: spatial
type: 1 # 0 vertical / 1 horizontal
indicator: 0 # 0 absolute / 1 relative
measures: employment
findings: already deprived areas experience further deprivation
channels: providers de-prioritize job-weak areas (spatial parking)
direction: -1 # -1 neg / 0 none / 1 pos
significance: 2 # 0 nsg / 1 msg / 2 sg
notes:
annotation: |
An analysis of the spatial consequences of a UK work programme on spatial factors of job deprivation or opportunity increases.
The programme follows a quasi-marketized approach of rewarding employment-favourable results of transitions into employment and further sustained months in employment.
The author argues, however, that the non-spatial implementation of the policy leads to spatial outcomes.
Founded on the approach of social 'creaming' and 'parking' and applied to the spatial dimension,
the study shows that already job-deprived areas indeed experience further deprivations under the programme,
while non-deprived areas are correlated with positive impacts, thereby further deteriorating spatial inequality outcomes.
This occurs because of providers in the programme de-prioritizing the already deprived areas ('parking') in favour prioritizing wealthier areas for improved within-programme results.

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@ -14340,7 +14340,7 @@ does NOT look at specific policy interventions}
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web-of-science-categories = {Environmental Studies; Geography; Regional \& Urban Planning}, web-of-science-categories = {Environmental Studies; Geography; Regional \& Urban Planning},
keywords = {country::Britain,inequality::spatial,region::EU,relevant,TODO::full-text,type::work\_programme}, keywords = {country::Britain,done::extracted,inequality::spatial,region::EU,relevant,type::work\_programme},
file = {/home/marty/Zotero/storage/R3RIUMNU/Whitworth_2021_Spatial creaming and parking.pdf} file = {/home/marty/Zotero/storage/R3RIUMNU/Whitworth_2021_Spatial creaming and parking.pdf}
} }

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@ -715,6 +715,14 @@ The study also suggests some possible inequality being created in between the di
Limitations include its design as a projection model with multiple having to make strong assumptions about initial employment numbers and their extrapolation into the future, Limitations include its design as a projection model with multiple having to make strong assumptions about initial employment numbers and their extrapolation into the future,
as well as having to assume the amount of generated power to increase as a stable square function. as well as having to assume the amount of generated power to increase as a stable square function.
Similarly, @Whitworth2021 analysis of the spatial consequences of a UK work programme on spatial factors of job deprivation or opportunity increases.
The programme follows a quasi-marketized approach of rewarding employment-favourable results of transitions into employment and further sustained months in employment.
The author argues, however, that the non-spatial implementation of the policy leads to spatial outcomes.
Founded on the approach of social 'creaming' and 'parking' and applied to the spatial dimension,
the study shows that already job-deprived areas indeed experience further deprivations under the programme,
while non-deprived areas are correlated with positive impacts, thereby further deteriorating spatial inequality outcomes.
This occurs because of providers in the programme de-prioritizing the already deprived areas ('parking') in favour prioritizing wealthier areas for improved within-programme results.
Highlighted by these studies, one issue of spatial inequality especially is that in many cases policies are crafted that are targeted without any spatial component, intended to function nationally. Highlighted by these studies, one issue of spatial inequality especially is that in many cases policies are crafted that are targeted without any spatial component, intended to function nationally.
These non-spatial policies will, however, carry effects on inequalities that are created or exacerbated by spatial inequalities themselves. These non-spatial policies will, however, carry effects on inequalities that are created or exacerbated by spatial inequalities themselves.
Ideally, policies can make use of spatial effects without having to include explicit spatial components, Ideally, policies can make use of spatial effects without having to include explicit spatial components,