Drivers of household consumption expenditure and carbon footprints in Finland

Household consumption patterns contribute to climate change. Therefore, an understanding of the drivers of household consumption (food, housing, travel, services, and tangibles) and the related carbon footprint is crucial for policy design. This article studies household expenditure and carbon footprint in an affluent European country, Finland, using Household Budget Survey data from 2016 and an environmentally extended input-output model for Finland. The multivariate regression analysis includes demographic, socio-economic and spatial explanatory variables. Compared with previous literature in this field of research, the main contribution regarding variable selection is the inclusion of region and urban form interactions. The results show that the selection of spatial variables in the model affects the results and policy-relevant conclusions on the role of region, urban form, and their interactions as spatial drivers of expenditure and carbon footprints. Regarding the socio-economic characteristics, the study includes occupational status and shows that it has some effect on expenditure patterns even when the impact of education is controlled for. Another novelty of the article is to explore the decoupling of expenditure and carbon footprint from consumption-based perspective. Expenditure and carbon footprint are first analysed separately to address their drivers individually. Then, decoupling is examined by comparing the results of the drivers of expenditure and the carbon footprint. The analysis shows little evidence of the occurrence of absolute decoupling. The article discusses how analysis based on inputoutput data can show shifts in consumption patterns in terms of commodity groups but not on a product level. In all, the findings on the selection of spatial variables and decoupling, and related policy implications, contribute to the discussion on how to analyse household consumption and carbon footprints. (c) 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).