How does income redistribution affect households’ material footprint?

Santiago, Luis Antonio López; Arce, Guadalupe; Morenate, Manuel; Zafrilla, Jorge

doi:10.1016/j.jclepro.2017.01.142

Cited by 40 publications

(20 citation statements)

References 59 publications

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“…In the last decade, several multi-regional input-output models (MRIO) have been developed in parallel, which depict the myriad interlinkages in the world-economy and enable attributing resource use and emissions in production along international supply chains to (household) consumption (Malik et al, 2018; Wiedmann and Lenzen, 2018). These models have been applied to a range of issues, for example to household consumption and energy footprints (Jalas and Juntunen, 2015; Min and Rao, 2017; Wiedenhofer et al, 2013), carbon emissions (Fremstad et al, 2018; Gill and Moeller, 2018; Ivanova et al, 2017; Moran et al, 2018; Ottelin et al, 2018; Shigetomi et al, 2014; Wiedenhofer et al, 2017) and various other environmental issues (Kerkhof et al, 2009; López et al, 2017; Shigetomi et al, 2014). In this approach, energy use and emissions along the entire supply chain are usually understood to be ‘indirect’ or ‘upstream’, because they occur during the production process before the household actually consumes the specific goods and services and often account for about half of the total consumption footprint, making their inclusion highly relevant.…”

Section: Introductionmentioning

confidence: 99%

Time Matters: The Carbon Footprint of Everyday Activities in Austria

Smetschka

Wiedenhofer

Egger

et al. 2019

Ecological Economics

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Mitigating climate change to achieve the goal of staying below 2 °C of warming requires urgent reductions of emissions. Demand-side measures mostly focus on the footprints of consumption. Analysing time use can add to understand the carbon implications of everyday life and the potentials and limitations for decarbonising consumption better. We investigate the carbon footprints of everyday activities in Austria. We linked data from the Austrian Time-use Survey and the Austrian Household Budget Survey with the Eora-MRIO for 2009–2010 in order to estimate the household carbon footprints of all time-use activities. We introduce a functional time-use perspective differentiating personal, committed, contracted and free time to investigate the average carbon intensity of activities per hour, for an average day and for the average woman and man. We find that personal time is relatively low-carbon, while household as well as leisure activities show large variation in terms of CO2e footprint/h. The traditional gendered division of labour shapes the time-use patterns of women and men, with implications for their carbon footprints. Further research analysing differences in household size, income, location and availability of infrastructure in their relation to time use is crucial to be able to assess possible pathways towards low carbon everyday life.

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Section: Introductionmentioning

confidence: 99%

Time Matters: The Carbon Footprint of Everyday Activities in Austria

Smetschka

Wiedenhofer

Egger

et al. 2019

Ecological Economics

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“…In terms of the socio-demographic characteristics, most studies conclude that income, household size and location are the main influencing factors for private consumption (see e.g. López et al, 2017;Tukker et al, 2010). Other than that, behavioural and cultural aspects also seem to play an important role (see Birch et al, 2004 for a collection of articles on driving forces of and barriers to sustainable consumption).…”

Section: Introductionmentioning

confidence: 99%

A Household's Burden – The Embodied Resource Use of Household Equipment in Germany

Teubler

Buhl

Lettenmeier

et al. 2018

Ecological Economics

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We use cluster analysis and material flow accounting to describe patterns of resource use in German households. Data on socio-demographic characteristics, and expenditures on fuel, electricity and household equipment allow for a differentiation of seven different household types. The corresponding resource use, expressed in Material Footprint per person and year, is calculated based on cradle-to-gate material flows of average household goods. Our results show that patterns of resource use are mainly driven by the use of fuel and electricity and the ownership of cars. The quantified Material Footprints correlate to higher social status and are also linked to city size, age and household size. Affluent, established and/or younger families living in rural areas typically show the highest amounts of durables and expenditures on non-durables, thus exhibiting the highest use of natural resources.

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“…Incorporating SMR principles into the macroeconomic modules of integrated assessment models would strengthen their ability to comply with thermodynamic principles and more systematically take feedbacks between different resources into account 101 . Links between social sciences and SMR include analyses of issues such as inequality or social conflict [173][174][175][176] . SMR is used in Political Ecology to investigate environmental conflicts 177,178 , labor 179,180 , or ecologically unequal exchange [181][182][183] .…”

Section: Outlook and Conclusionmentioning

confidence: 99%

Contributions of sociometabolic research to sustainability science

et al. 2019

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Recent high-level agreements such as the Paris climate accord or the Sustainable Development Goals aim at mitigating climate change, ecological degradation and biodiversity loss while pursuing social goals such as reducing hunger or poverty. Systemic approaches bridging natural and social sciences are required to support these agendas. The surging human use of biophysical resources (materials, energy) results from the pursuit of social and economic goals, while it also drives global environmental change. Socio-metabolic research links the study of socioeconomic processes with biophysical processes and thus plays a pivotal role for understanding societynature interactions. It includes a broad range of systems science approaches for measuring, analyzing and modelling of biophysical stocks and flows as well as the services they provide to society. Here we outline and systematize major socio-metabolic research traditions that study the biophysical basis of economic activity: urban metabolism, the multi-scale integrated assessment of societal and ecosystem metabolism, biophysical economics, material and energy flow analysis, and environmentally extended input-output analysis. Examples from recent research demonstrate strengths and weaknesses of socio-metabolic research. We discuss future research directions that could also help to enrich related fields.

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How does income redistribution affect households’ material footprint?

Cited by 40 publications

References 59 publications

Time Matters: The Carbon Footprint of Everyday Activities in Austria

Time Matters: The Carbon Footprint of Everyday Activities in Austria

A Household's Burden – The Embodied Resource Use of Household Equipment in Germany

Contributions of sociometabolic research to sustainability science

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