Environmental Migration Governance

    Our project addresses environmental migration governance (“EMG”) for a couple of reasons.

    First, governance assumes a variety of forms, from formal multilateral agreements to informal programmes and discussions. This broadened lens helps us to trace the activities of States in connection with international and non-governmental organisations, which can be key influencers of agenda and norm setting.

    Second, we consider the migration field as a predictable and orderly process, instead of being subject to the whim of political leaders. EMG is based on this presumption. Therefore, it assists us to identify the rules, benchmarks and standards applicable to human mobility across the international, regional and domestic levels.

    Interactive Maps

    Click here to access interactive map

    Borrowing the “adaptation” concept from the natural sciences, the international community progressively intensified efforts to identify measures that could increase the protection of environmentally vulnerable populations in case of internal or cross-border mobility. Our mapping exercise aims to closely look into the existing normative framework to identify which existing instruments could play an active role in the legal framework on adaptive migration strategies.

    The interactive maps include instruments pertaining to:

    • multilevel migration governance: i.e. the main national legal frameworks, bilateral and regional agreements related to migration, labour migration and trade migration;
    • humanitarian protection instruments: humanitarian measures, i.e. refugee instruments;
    • climate change instruments and disaster law instruments;

    The tool includes a temporal dimension, to explore the correlation, if any, between the migration domain and the climate change domain and whether the debates in different issue domains influence each other, for instance, by facilitating the adoption of new instruments in the field of climate change law with a link to migration, or the reverse.

    The CLI_M_CO2 Project is funded under the grant No. PP00P1163700 by the Swiss National Foundation Research.
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