Environmental Assessments; Production Perspective; Regionalized Models; Environmentally-Extended Input-Output Models; Bottom-Up Modeling; Life Cycle Assessment; Top-Down Modeling; Consumption Perspective; Industrial Ecology
Froemelt Andreas, Geschke Arne, Wiedmann Thomas (2021), Quantifying carbon flows in Switzerland: Top-down meets bottom-up modelling, in Environmental Research Letters
, 16(1), 014018.
Froemelt Andreas, Wiedmann Thomas (2020), A two-stage clustering approach to investigate lifestyle carbon footprints in two Australian cities, in Environmental Research Letters
, 15(10), 1-19.
Froemelt Andreas, Buffat René, Hellweg Stefanie (2020), Machine learning based modeling of households: A regionalized bottom‐up approach to investigate consumption‐induced environmental impacts, in Journal of Industrial Ecology
, 24(3), 639-652.
SUPPORTING INFORMATION: Machine learning based modeling of households: A regionalized bottom‐up approach to investigate consumption‐induced environmental impacts
||Froemelt, Andreas; Buffat, René; Hellweg, Stefanie
|Persistent Identifier (PID)
Journal of Industrial Ecology
SUPPORTING INFORMATION accompanying the scientific article "Machine learning based modeling of households: A regionalized bottom‐up approach to investigate consumption‐induced environmental impacts" (Froemelt et al. 2020).
SUPPORTING INFORMATION: A two-stage clustering approach to investigate lifestyle carbon footprints in two Australian cities
SUPPORTING INFORMATION accompanying the scientific article "A two-stage clustering approach to investigate lifestyle carbon footprints in two Australian cities" (Froemelt & Wiedmann 2020).
SUPPORTING INFORMATION: Quantifying carbon flows in Switzerland: top-down meets bottom-up modelling
SUPPORTING INFORMATION accompanying the scientific article "Quantifying carbon flows in Switzerland: top-down meets bottom-up modelling" (Froemelt et al. 2021)
In order to reduce environmental impacts of today’s consumption patterns and production systems towards sustainable levels, policymakers can assume a key role. By devising targeted policies, they can frame an environment which incentivizes more sustainable behaviors and make greener production favorable. However, individual consumers and producers act in completely different ways resulting in a large variability of environmental footprints. “One-size-fits-all”-solutions are thus likely to fail and policymakers are in need of highly resolved information to successfully implement policy interventions and to efficiently invest time and money in the most promising options of actions. Usually, existing studies and environmental assessments are too coarse to provide adequately tailored information for local policymakers. The most desired level of detail to investigate and understand prevailing consumption patterns and production systems would be to know the environmental footprints of individual households and enterprises located in a region. While data in this detail is not available, models can provide estimates as substitutes. In this regard, my own research has come up with a novel spatially resolved bottom-up consumption model which is able to derive a realistic environmental profile for each household in a region. Although the concepts of the model are generic, it was applied to Switzerland as a case study. Providing a consumption-based perspective, this model is lacking a production-oriented counterpart which assesses environmental impacts of local trade and industry.The goal of this project is to provide a thorough information base to support local policymakers in designing and prioritizing effective environmental policies and to provide a model platform to investigate effects of interventions. While the consumption perspective is already covered by my previous research efforts, this project will adopt a production view and amend the existing model with economic approaches. Thereby, the main focus will lie on establishing a multi-regional input-output (MRIO) model for Switzerland by means of the platform “Industrial Ecology Virtual Laboratory” (IELab). This combination of top-down approaches (input-output models) and my existing bottom-up models is located at the frontier of sustainability assessments of complex systems and will deliver new insights into mathematical modeling of environmental impacts on different regional scales. Moreover, the MRIO-model will enable for tracking environmental and economic flows within Switzerland and worldwide. It will also be a first approximation of a model to assess disaggregated production-based footprints. This approach can then be further pursued in order to estimate environmental footprints of individual enterprises in a region. Furthermore, the final model will be ready for coupling with macro-economic models (e.g. computable general equilibrium models) and will thus allow for investigating the direct and indirect system-wide effects of planned measures. This highly sophisticated simultaneous consideration of economic and environmental aspects has the potential to raise the bar in the research field of sustainability assessments. The combined final model will represent an information base with unprecedented detail on local actors within a certain region and it will constitute a comprehensive platform for understanding locally occurring consumption patterns and production systems as well as for estimating the effects of environmental policy scenarios. Furthermore, detailed analyses between features of households and the modeled results of their respective environmental consequences are possible and might identify interactions, trade-offs, and drivers of environmental impacts. In this regard, I will also apply our existing approaches to new consumption data to advance our understanding of today’s consumption patterns in an international context.