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…

  • 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

    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.

  • Division Director

    Massimo Tavoni

    Division Manager

    Contacts

    Via Bergognone, 34 – 20144 Milano (MI)

    info.seme@cmcc.it

    Research Units

    Research unit leader:
    Giovanna D’Adda

    – Behavioural change
    – Nudging
    – Impact evaluation
    – Behavioural policies

    Research unit leader:
    Cristina Cattaneo

    – Climate induced migration
    – Conflict
    – Skills

    Research unit leader:
    Elena Verdolini

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

    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.

    Latest News

    Fostering a sustainable use of phosphorus

    Phosphorus is critical to food security, ecosystem functioning and human activities. Urbanization and dietary changes, and in particular industrial use…

    The revolt of nature

    The nexus between new epidemics and the impact of human beings on the environment in the book by the best-selling…

    The nexus between economic inequality and social welfare

    A new interpretation of the concept of inequity – in the sense of unequal distributions across individuals, time and states…

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