Weather patterns and events are changing and becoming more extreme, sea levels are rising, and greenhouse gas emissions are now at their highest levels in history. Climate change is affecting every individual in every city on every continent. It imposes adverse impact on people, communities, and countries, disrupting regional and national economies.
Climate change mitigation refers to efforts to reduce or prevent emissions of greenhouse gases to limit the magnitude of long-term climate change. Human consumption, in combination with a growing population, contributes to climate change by increasing the rate of greenhouse gas emissions. Over the last decade, instigated by the Paris Agreement, the efforts to limit global warming have been expanding. Significant attention is being devoted to new energy technologies on both the production and consumption sides, however, changes in individual behavior and management practices as part of the mitigation strategy are often neglected. This might derive from the complex nature of human which makes explaining and affecting human behavior a difficult task. As a result, quantitative tools to assess household emissions, considering the diversity of behaviors and a variety of psychological and social factors influencing them beyond purely economic considerations, are scarce. Policymakers would benefit from reliable decision supporting tools that explore the interaction of economic decision-making and behavioral heterogeneity in households behavioral and lifestyle changes, when testing climate mitigation policies (e.g. carbon pricing, subsidies).
To address this issue, during my PhD research I studied the potential of behavioral changes among heterogeneous households regarding energy use and their role in mitigating climate change. By designing and conducting comprehensive household surveys, it was explored how individuals choose to change their energy behaviour and what factors trigger or inhibit these choices. Decision support tools are designed to study large-scale regional effects of individual actions, and to explore how they may change over time and space. The model explicitly treats behavioral triggers and barriers at the individual level, assuming that energy use decision making is a multi-stage process. This theoretically and empirically grounded simulation model offers policymakers ways to explore various policy portfolios by running diverse micro and macro scenarios.
This model was further developed during my collaboration with the IIASA the Young Scientists Summer Program (YSSP), to estimate macro impacts of individuals’ energy behavioral changes on carbon emissions. Within this research, we illustrate that individual energy behavior, especially when amplified through social context, shapes energy demand and, consequently, carbon emissions. Our results show that residential energy demand is strongly linked to personal and social norms. When assessing the cumulative impacts of these behavioral processes, we quantify individual and combined effects of social dynamics and of carbon pricing on individual energy efficiency and on the aggregated regional energy demand and emissions.
In summary, mitigating climate change requires massive worldwide efforts and strong involvement of regions, cities, businesses and individuals, in addition to the commitments at the national levels. We should always keep in mind that every single behavior matters. In the transition to a sustainable and resilient society, we –as individuals- are more than just consumers.
Note: This article gives the views of the author, and not the position of the Nexus blog, nor of the International Institute for Applied Systems Analysis.
 Climate Action– United Nations Sustainable Development Goals https://www.un.org/sustainabledevelopment/climate-change/
 Creutzig, F., et al. (2018). Towards demand-side solutions for mitigating climate change. Nature Climate Change 8, 268-271; Grubler, A., et al. (2018). A low energy demand scenario for meeting the 1.5 degrees C target and sustainable development goals without negative emission technologies. Nature Energy 3, 515-527; Creutzig, F., et al. (2016). Beyond Technology: Demand-Side Solutions for Climate Change Mitigation. Annual Review of Environment and Resources, Vol 41 41, 173-198
 Niamir, L. (2019). Behavioural Climate Change Mitigation: from individual energy choices to demand-side potential (University of Twente); Creutzig, F., et al. (2018). Towards demand-side solutions for mitigating climate change. Nature Climate Change 8, 268-271; Niamir, L., et al. (2018). Transition to low-carbon economy: Assessing cumulative impacts of individual behavioural changes. Energy Policy, 118; Stern N. Economics: Current climate models are grossly misleading. Nature 530(7591):407–9.
 Niamir, L. et al. (2020). Demand-side solutions for climate mitigation: Bottom-up drivers of household energy behaviour change in the Netherlands and Spain. Energy Research & Social Science, 62, 101356.