Abstract
Linking novel real-time sensor data with comprehensive individual baseline survey data, this study estimates the effect of fuel poverty on the physical and mental health of social housing tenants in the southwest of the UK. Structural equation modeling is applied to show that fuel poverty has a significant negative effect on mental health. Other socio-economic characteristics (such as age, household size) and house characteristics (e.g., energy-efficient rating, house type) are associated with fuel poverty. Fuel poverty is also related to poorer mobility. Our results suggest that special attention should be paid to tenants with disabilities and chronic diseases since they are more vulnerable to fuel poverty and health issues.
| Original language | English |
|---|---|
| Article number | 100070 |
| Journal | Wellbeing, Space and Society |
| Volume | 3 |
| Number of pages | 9 |
| DOIs | |
| Publication status | Published - 2022 |
Bibliographical note
Funding Information:This study is in the frame of the Smartline project and Smartline extension project (www.smartline.org.uk) which are funded by the England European Regional Development Fund (Grant Nos. 05R16P00305, 05R18P02819) as part of the European Structural and Investment Funds Growth Programme 2014?2020. The Department for Levelling Up, Housing and Communities (and in London the intermediate body Greater London Authority) is the Managing Authority for the European Regional Development Fund. Established by the European Union, the European Regional Development Fund helps local areas stimulate their economic development by investing in projects which will support innovation and businesses, and create jobs and local community regenerations. For more information, visit https://www.gov.uk/european-growth-funding. The Smartline project is also funded by the South West Academic Health Science Network, Cornwall Council and HM Government, and is in a partnership between the University of Exeter, Coastline Housing, Volunteer Cornwall, Cornwall Council and the South West Academic Health Science Network. The authors are grateful to the whole Smartline team who helped with the collection of the survey data and administration of the project, particularly Andrew James Williams for his efforts in managing the survey design process, and to two anonymous reviewers for their valuable comments.
Funding Information:
This study is in the frame of the Smartline project and Smartline extension project ( www.smartline.org.uk ) which are funded by the England European Regional Development Fund (Grant Nos. 05R16P00305, 05R18P02819) as part of the European Structural and Investment Funds Growth Programme 2014–2020. The Department for Levelling Up, Housing and Communities (and in London the intermediate body Greater London Authority) is the Managing Authority for the European Regional Development Fund. Established by the European Union, the European Regional Development Fund helps local areas stimulate their economic development by investing in projects which will support innovation and businesses, and create jobs and local community regenerations. For more information, visit https://www.gov.uk/european-growth-funding . The Smartline project is also funded by the South West Academic Health Science Network, Cornwall Council and HM Government, and is in a partnership between the University of Exeter, Coastline Housing, Volunteer Cornwall, Cornwall Council and the South West Academic Health Science Network. The authors are grateful to the whole Smartline team who helped with the collection of the survey data and administration of the project, particularly Andrew James Williams for his efforts in managing the survey design process, and to two anonymous reviewers for their valuable comments.
Publisher Copyright:
© 2021
