Combining self-reported and sensor data to explore the relationship between fuel poverty and health well-being in UK social housing
Gengyang Tu, Karyn Morrissey, Richard A. Sharpe, Tim Taylor
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.