This project aims to estimate consumption-based greenhouse gas emissions across the UK at neighbourhood level longitudinally. Emissions are estimated from expenditure estimates using an environmentally extended multi-regional input-output analysis. Thereafter, spatial and temporal emission patterns can be investigated. This enables an assessment of the impacts of the 2007/08 economic recession, sustainability behaviour change policy, and local infrastructure developments on household carbon emissions. Moreover, relationships between geodemographic factors and greenhouse gas emissions in the UK can be evaluated.
ESRC 2+2 MSc and PhD via the Centre for Data Analytics and Society
Kilian, L., Owen, A., Newing, A. and Ivanova D. (in prep). ‘Effective mitigation of transport emissions in London neighbourhoods: spatial patterns, social factors, and wellbeing’.
Kilian, L., Owen, A., Newing, A., and Ivanova D. (2022). Microdata selection for estimating household consumption-based emissions. Economic Systems Research, DOI: 10.1080/09535314.2022.2034139.
Owen, A. and Kilian, L. (2020). Consumption-based Greenhouse Gas Emissions for Bristol 2016 [Online]. Leeds. Available from: https://www.bristolonecity.com/wp-content/uploads/2020/05/Consumption-based-Greenhouse-Gas-Emissions-for-Bristol.pdf.
Kilian, L., Owen, A., Newing, A., and Ivanova, D. (2021). Per Capita Consumption-Based Greenhouse Gas Emissions for UK Lower and Middle Layer Super Output Areas, 2016. [Data Collection]. Colchester, Essex: UK Data Service. DOI: 10.5255/UKDA-SN-854888
- MSc Data Analytics and Society, University of Leeds
- MSc Sustainable Cities, King's College London
- BSc Psychology, University of Glasgow
Research groups and institutes
- Centre for Spatial Analysis and Policy