Emmerling Johannes

Johannes Emmerling is a scientist at EIEE and co-leads its integrated assessment modelling unit. He was a Senior Researcher at Fondazione Eni Enrico Mattei (FEEM) between 2012 and 2018. Johannes holds a Ph.D. from the Toulouse School of Economics (TSE), a M.A. in Economics from the Free University Berlin and a B.Sc. in Economics from the University of Heidelberg. He was a postgraduate fellow in Development Cooperation at the German Development Institute, Bonn. He has been working amongst others at the Social Science Research Center (WZB) Berlin, the Gesellschaft für Internationale Zusammenarbeit (GIZ), as Lecturer at Université Toulouse 1 Capitole, and as Consultant for the Organization of American States (OAS), the European Bank for Reconstruction and Development (EBRD), the German Institute of Metrology (PTB), the Asian Development Bank (ADB), and the World Bank. He is co-leading the development of the integrated assessment model WITCH. His main areas of research include Climate Change and Energy economics, Risk and Uncertainty, Welfare Economics and Development. He has co-authored over 30 articles in peer-reviewed journals and is an Associate Editor of the Public Finance Review. He is a passionate cyclist and plays keyboards in various formations.

LATEST PUBLICATIONS

  • Subjective Well-Being at the Macro Level—Empirics and Future Scenarios
  • Representing inequalities in integrated assessment modeling of climate change
  • Exploring the Possibility Space: Taking Stock of the Diverse Capabilities and Gaps in Integrated Assessment Models
  • Welfare as equity equivalents
  • Early Retirement of Power Plants in Climate Mitigation Scenarios
  • Taking stock of national climate policies to evaluate implementation of the Paris Agreement
  • Reducing stranded assets through early action in the Indian power sector
  • Climate thresholds and heterogeneous regions: implications for coalition formation
  • Reply to: Why fossil fuel producer subsidies matter
  • Climate impacts on nutrition and labor supply disentangled – an analysis for rural areas of Uganda

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