Fuel Poverty Data Linking Project

Background with rationale In Wales, a household is considered to be in fuel poverty if it needs to spend more than 10% of its net income on maintaining a satisfactory heating regime. Addressing fuel poverty is particularly important to Wales with an estimated 29% of households in fuel poverty compa...

Full description

Bibliographic Details
Main Authors: Craiger Solomons, Sarah Lowe, Josh Dixon, Tony Whiffen, Rachel Bowen, Matthew Davies, Hugo Vine
Format: Article
Language:English
Published: Swansea University 2019-11-01
Series:International Journal of Population Data Science
Online Access:https://ijpds.org/article/view/1262
id doaj-7b59e3260faa40bfad0de55931e1948f
record_format Article
spelling doaj-7b59e3260faa40bfad0de55931e1948f2020-11-25T01:50:24ZengSwansea UniversityInternational Journal of Population Data Science2399-49082019-11-014310.23889/ijpds.v4i3.1262Fuel Poverty Data Linking ProjectCraiger Solomons0Sarah Lowe1Josh Dixon2Tony Whiffen3Rachel Bowen4Matthew Davies5Hugo Vine6Welsh GovernmentWelsh GovernmentWelsh GovernmentWelsh GovernmentWelsh GovernmentWelsh GovernmentWelsh Government Background with rationale In Wales, a household is considered to be in fuel poverty if it needs to spend more than 10% of its net income on maintaining a satisfactory heating regime. Addressing fuel poverty is particularly important to Wales with an estimated 29% of households in fuel poverty compared with 17% in the UK overall. To tackle fuel poverty in Wales, the Welsh Government implemented two fuel poverty schemes. Warm Homes Nest is a demand-led scheme and Warm Homes Arbed an area-based scheme. Both schemes provide free home energy efficiency measures e.g. home insulation or boilers. Main Aim To use linked administrative data to evaluate the impacts of Welsh Government home energy efficiency schemes for low income households. The findings will inform future fuel poverty schemes in Wales. Methods/Approach Individual-level data from both schemes was anonymously linked to routine health records, using the SAIL (Secure Anonymised Information Linkage) Databank, to examine the health service use of recipients. We used difference-in-difference estimations to compare any changes in the health of recipients before and after intervention with any concurrent change in health in those yet to receive an intervention. Results Results published in 2017 indicated positive effects for the Nest scheme, including positive impacts on respiratory health and general health. We will report results comparing the health impacts of the Arbed and Nest schemes. The study will be the first to directly compare the health impacts of a demand-led and an area-based energy efficiency scheme. Conclusion Providing home energy efficiency interventions has the potential to benefit population health; however, there is a scarcity of evidence comparing different methods of implementing schemes. Our findings will inform more effectively focussed home energy efficiency schemes and potentially improve the health of people living in Wales. https://ijpds.org/article/view/1262
collection DOAJ
language English
format Article
sources DOAJ
author Craiger Solomons
Sarah Lowe
Josh Dixon
Tony Whiffen
Rachel Bowen
Matthew Davies
Hugo Vine
spellingShingle Craiger Solomons
Sarah Lowe
Josh Dixon
Tony Whiffen
Rachel Bowen
Matthew Davies
Hugo Vine
Fuel Poverty Data Linking Project
International Journal of Population Data Science
author_facet Craiger Solomons
Sarah Lowe
Josh Dixon
Tony Whiffen
Rachel Bowen
Matthew Davies
Hugo Vine
author_sort Craiger Solomons
title Fuel Poverty Data Linking Project
title_short Fuel Poverty Data Linking Project
title_full Fuel Poverty Data Linking Project
title_fullStr Fuel Poverty Data Linking Project
title_full_unstemmed Fuel Poverty Data Linking Project
title_sort fuel poverty data linking project
publisher Swansea University
series International Journal of Population Data Science
issn 2399-4908
publishDate 2019-11-01
description Background with rationale In Wales, a household is considered to be in fuel poverty if it needs to spend more than 10% of its net income on maintaining a satisfactory heating regime. Addressing fuel poverty is particularly important to Wales with an estimated 29% of households in fuel poverty compared with 17% in the UK overall. To tackle fuel poverty in Wales, the Welsh Government implemented two fuel poverty schemes. Warm Homes Nest is a demand-led scheme and Warm Homes Arbed an area-based scheme. Both schemes provide free home energy efficiency measures e.g. home insulation or boilers. Main Aim To use linked administrative data to evaluate the impacts of Welsh Government home energy efficiency schemes for low income households. The findings will inform future fuel poverty schemes in Wales. Methods/Approach Individual-level data from both schemes was anonymously linked to routine health records, using the SAIL (Secure Anonymised Information Linkage) Databank, to examine the health service use of recipients. We used difference-in-difference estimations to compare any changes in the health of recipients before and after intervention with any concurrent change in health in those yet to receive an intervention. Results Results published in 2017 indicated positive effects for the Nest scheme, including positive impacts on respiratory health and general health. We will report results comparing the health impacts of the Arbed and Nest schemes. The study will be the first to directly compare the health impacts of a demand-led and an area-based energy efficiency scheme. Conclusion Providing home energy efficiency interventions has the potential to benefit population health; however, there is a scarcity of evidence comparing different methods of implementing schemes. Our findings will inform more effectively focussed home energy efficiency schemes and potentially improve the health of people living in Wales.
url https://ijpds.org/article/view/1262
work_keys_str_mv AT craigersolomons fuelpovertydatalinkingproject
AT sarahlowe fuelpovertydatalinkingproject
AT joshdixon fuelpovertydatalinkingproject
AT tonywhiffen fuelpovertydatalinkingproject
AT rachelbowen fuelpovertydatalinkingproject
AT matthewdavies fuelpovertydatalinkingproject
AT hugovine fuelpovertydatalinkingproject
_version_ 1725002207725617152