Periodic Reporting for period 1 - GREEN TIPPING (From Niches to Norms: Drivers and Diffusion of Green Social Tipping)
Période du rapport: 2023-09-01 au 2026-02-28
The world is facing an urgent climate challenge: achieving net-zero greenhouse-gas emissions will require not only technological innovation and market reforms, but also profound changes in individual and collective behaviour. The fossil-fuel lock-in is supported by entrenched social norms and habits — and these norms can hinder the effectiveness of policy measures. Recognising this, GREEN TIPPING sets out to explore how behavioural and social change can be triggered in ways that have systemic impact.
Specifically, the project asks: How common must a behaviour be, before a reluctant person decides to conform? And: Can information campaigns and behavioural interventions push the system past a threshold, so that further uptake becomes self-reinforcing? The project focuses on the concept of social tipping interventions (STIs): targeted actions aimed at provoking a cascade of sustainable behaviours, thus achieving change in a cost-effective way and precipitating a broader societal shift. The ambition is to go beyond small-scale experiments or purely theoretical work, to design interventions that can scale and generate real diffusion of sustainable norms and practices.
Specifically, the project asks: How common must a behaviour be, before a reluctant person decides to conform? And: Can information campaigns and behavioural interventions push the system past a threshold, so that further uptake becomes self-reinforcing? The project focuses on the concept of social tipping interventions (STIs): targeted actions aimed at provoking a cascade of sustainable behaviours, thus achieving change in a cost-effective way and precipitating a broader societal shift. The ambition is to go beyond small-scale experiments or purely theoretical work, to design interventions that can scale and generate real diffusion of sustainable norms and practices.
The project bridges social sciences (behavioural economics, experimental methods, diffusion theory) and the environmental transition challenge. It aims to pinpoint the conditions under which sustainable behaviours can spread from a niche to become a social norm, and ultimately contribute to the transformation required for a greener future. To this end, GREEN TIPPING follows a four-pronged research strategy: (1) posit – to derive predictions about adoption thresholds and the timing of norm abandonment; (2) test – to evaluate the effectiveness of behavioural interventions in multi-country representative samples; (3) refine – to calibrate and optimise interventions through controlled group experiments, identifying susceptible target groups; and (4) validate – to assess real-world contagion effects, for example in the adoption of renewable energy, to observe whether interventions lead to social diffusion beyond treated groups.
Key scientific outputs so far already include four publications, one submitted article and one preprint under revision, pertaining to all four modules. Much follow-up work is currently underway and will lead to key theoretical and empirical findings in the coming years.
Through these activities, the project has achieved: development of behavioural experiments and large-scale survey modules across countries; the execution of controlled experiments on group behaviour and public-good style dilemmas; the identification of key parameters for intervention (e.g. threshold sizes, heterogeneity of target groups, role of peer influence); and commencement of field outreach and diffusion validation (e.g. monitoring how renewable-energy adoption spreads, and how a treated group may trigger contagion in untreated groups).
In short, GREEN TIPPING has advanced from theoretical framing to empirical testing, refined intervention design, and is now moving toward real-world validation of social tipping processes.
Key scientific outputs so far already include four publications, one submitted article and one preprint under revision, pertaining to all four modules. Much follow-up work is currently underway and will lead to key theoretical and empirical findings in the coming years.
Through these activities, the project has achieved: development of behavioural experiments and large-scale survey modules across countries; the execution of controlled experiments on group behaviour and public-good style dilemmas; the identification of key parameters for intervention (e.g. threshold sizes, heterogeneity of target groups, role of peer influence); and commencement of field outreach and diffusion validation (e.g. monitoring how renewable-energy adoption spreads, and how a treated group may trigger contagion in untreated groups).
In short, GREEN TIPPING has advanced from theoretical framing to empirical testing, refined intervention design, and is now moving toward real-world validation of social tipping processes.
GREEN TIPPING pushes the frontier of how we understand and operationalise behavioural change for sustainability. Whereas much previous work has focused on either small‐scale experiments or macro-models of transitions, this project links behavioural micro-mechanisms (how individuals respond to interventions, how norms shift) with scaling dynamics (how behaviours diffuse through social networks, across countries). The emphasis on social tipping thresholds, targeted interventions, and contagion dynamics represents a marked advance beyond existing practice.
Key potential impacts include: enabling policymakers to design interventions that exploit behavioural cascades (rather than individual outreach), thereby lowering the cost and increasing the speed of sustainable behaviour diffusion; informing the design of climate-policy packages that combine technological, market and behavioural instruments; and providing evidence-based pathways for the diffusion of sustainable norms in domains such as energy, mobility, consumption and food.
To realise full uptake and success, several enablers and further steps are identified. These include:
• Demonstration and scaling: moving from experimental and survey settings into real-world, large-scale demonstration of tipping interventions (e.g. in cities or communities).
• Access to markets and finance: supporting diffusion through enabling infrastructure, financing mechanisms, and incentives that align with behavioural triggers.
• Supportive regulatory and standardisation frameworks: embedding social tipping interventions in policy design and institutional contexts.
• Internationalisation and cross-cultural validation: ensuring interventions are adapted and effective across different social, cultural and institutional settings.
• Further research: advancing the modelling of contagion and norm-dynamics, integrating network science and system-dynamics tools, and monitoring long-term sustainability impacts over time.
Key potential impacts include: enabling policymakers to design interventions that exploit behavioural cascades (rather than individual outreach), thereby lowering the cost and increasing the speed of sustainable behaviour diffusion; informing the design of climate-policy packages that combine technological, market and behavioural instruments; and providing evidence-based pathways for the diffusion of sustainable norms in domains such as energy, mobility, consumption and food.
To realise full uptake and success, several enablers and further steps are identified. These include:
• Demonstration and scaling: moving from experimental and survey settings into real-world, large-scale demonstration of tipping interventions (e.g. in cities or communities).
• Access to markets and finance: supporting diffusion through enabling infrastructure, financing mechanisms, and incentives that align with behavioural triggers.
• Supportive regulatory and standardisation frameworks: embedding social tipping interventions in policy design and institutional contexts.
• Internationalisation and cross-cultural validation: ensuring interventions are adapted and effective across different social, cultural and institutional settings.
• Further research: advancing the modelling of contagion and norm-dynamics, integrating network science and system-dynamics tools, and monitoring long-term sustainability impacts over time.