Sustainable Earth Modelling Economics

The SEME Division analyses the transition to sustainability, helping identify and evaluate low carbon, sustainable strategies. The approach used is multidisciplinary, with strong use of quantitative methods based on data science, integrated modeling and experimental and behavioral economics.

Objectives

Evaluate the low carbon transformation of the energy, land and climate sectors;
Evaluate behavioural and traditional policy interventions for promoting pro-environmental behavior;
Assess green innovation and its determinants;
Study the interplay between various sustainable development goals;
Identify robust policy strategies to climate risks and uncertainties;
Identify technological and societal transition pathways;
Study climate induced migration.

SEME Projects

SMOOTH - Sustainable Finance for a Smooth Low-Carbon Transition

The threat of climate change calls for a rapid transition to a…

ECO-DEKS - External knowledge sourcing strategies for environmental innovation in the industrial sector of Nigeria

Globally, the industrial sector substantially contributes to the high level of the…

NAVIGATE - Next generation of AdVanced InteGrated Assessment modelling to support climaTE policy making

NAVIGATE is a project funded by the European Union’s Horizon 2020 programme…

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SEME Publications

Characterizing ambiguity attitudes using model uncertainty

Berger L., Bosetti V.
2020, Journal of Economic Behavior & Organization, March 19, 2020, DOI: 10.1016/j.jebo.2020.02.014, web page

Reducing stranded assets through early action in the Indian power sector

Malik A., Bertram C., Després J., Emmerling J., Fujimori S., Garg A., Kriegler E., Luderer G., Mathur R., Roelfsema M., Shekhar S., Vishwanathan S., Vrontisi Z.
2020, Environmental Research Letters, April 2020, DOI: 10.1088/1748-9326/ab8033, web page

Case-study – The transition of Belgium towards a low carbon society: A macroeconomic analysis fed by a participative approach

Berger L., Bréchete Th., Pestiaux J., Van Steenberghe V.
2020, Energy Strategy Reviews, Volume 29, May 2020, 100463, DOI: 10.1016/j.esr.2020.100463, web page

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SEME Models

FASST(R) - FAst Scenario Screening Tool

FASST(R) is a source receptor model, an R version of the reduced-form…

Cities & Coasts, Future Earth.

WITCH - World Induced Technical Change Hybrid model

WITCH (World Induced Technical Change Hybrid) is an integrated assessment model designed…

Energy, Future Earth, Global Policy, Inequalities.

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Division Director

Massimo Tavoni

Division Manager

Mariaester Cassinelli

Laura Pellizzola

PEOPLE

Contacts

Via Bergognone, 34 – 20144 Milano (MI)

info.seme@cmcc.it

Research Units

Behavioural economics

Research unit leader:
Giovanna D’Adda

– Behavioural change
– Nudging
– Impact evaluation
– Behavioural policies

Climate migration

Research unit leader:
Cristina Cattaneo

– Climate induced migration
– Conflict
– Skills

Sustainable innovation

Research unit leader:
Elena Verdolini

– Green patenting
– Low carbon R&D
– Learning curves
– Energy system modelling
– Induced technical change

Integrated Assessment Modeling

Research unit leaders:
Johannes Emmerling and Laurent Drouet

– IAM scenarios
– International mitigation policies
– Modelling of impacts and adaptation
– Energy system modelling
– Inequality

RFF-CMCC European Institute on Economics and the Environment leverages two leading international centers for economic and environmental research: Resources for the Future – RFF, Euro-Mediterranean Center on Climate Change – CMCC.