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Zwischen historischer Verantwortung und Ambitionen zur Klimaneutralität: eine Länderklassifizierung

Author

Listed:
  • Dawud Ansari
  • Wassim Brahim
  • Franziska Holz
  • Claudia Kemfert

Abstract

Die Klimakonferenz COP27 im November 2022 hat erneut die sehr unterschiedlichen Positionen der verschiedenen Länder verdeutlicht. In diesem Bericht werden die Länder der Erde in typische Profile nach ihrer aktuellen und geplanten Klimafreundlichkeit sowie ihrem vergangenen Beitrag zum Klimaproblem eingeteilt. Zwischen den Profilen besteht eine hohe Diversität, die nicht durch geographische Nähe definiert ist, sondern vielmehr durch Wirtschaftsstrukturen und Politikentscheidungen. Die Mehrheit der Länder hat in der Vergangenheit nicht zum Klimaproblem beigetragen, hat aber bislang auch keine Pläne, klimaneutral zu werden. Die Länder der Europäischen Union sind ebenfalls divers: mit unterschiedlich hohen Beiträgen zu bisherigen Treibhausgasemissionen und einigen Ländern ohne eigene ambitionierte Klimaneutralitätsziele.

Suggested Citation

  • Dawud Ansari & Wassim Brahim & Franziska Holz & Claudia Kemfert, 2022. "Zwischen historischer Verantwortung und Ambitionen zur Klimaneutralität: eine Länderklassifizierung," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 89(47), pages 623-631.
    • Handle: RePEc:diw:diwwob:89-47-3
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    More about this item

    Keywords

    climate policy; hierarchical clustering; emission profiles; net zero;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • F5 - International Economics - - International Relations, National Security, and International Political Economy
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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