Trend Projections of Greenhouse Gas Emission Reduction Potentials: A Bootstrap-Based Nonparametric Efficiency Analysis

Authors

  • Larissa Fait Institute of Economics, University of Kassel, Nora-Platiel-Str. 4, D-34109 Kassel, Germany
  • Jens J. Krüger Department of Law and Economics, Technical University of Darmstadt, Hochschulstraße 1, D-64289 Darmstadt, Germany
  • Moritz Tarach Department of Law and Economics, Technical University of Darmstadt, Hochschulstraße 1, D-64289 Darmstadt, Germany
  • Heike Wetzel Institute of Economics, University of Kassel, Nora-Platiel-Str. 4, D-34109 Kassel, Germany

DOI:

https://doi.org/10.32479/ijeep.17718

Keywords:

Climate Policy, Environmental Efficiency, Nonparametric Measurement, Trend Projections, Bootstrapping

Abstract

We use nonparametric methods to compute the environmental inefficiency of 100 countries over the period 1990-2017 on the macro-level. The inefficiency is expressed as the potential reduction of GHG emissions, holding economic output constant. Based on that, we estimate different trend functions and project the trends further until 2050. Confidence intervals to indicate the uncertainty inherent in the long-run projections are obtained by bootstrapping. We compare the efficient emissions remaining after subtracting the potential reductions with the official EU climate targets. It becomes apparent that a sizable contribution could be made by reducing inefficiency. However, even after removing the entire inefficiency, the results also indicate that this alone is probably not sufficient to break the increasing trend of GHG (and especially CO2) emissions. Thus, further policy measures are required for breaking the trend.

Downloads

Download data is not yet available.

Downloads

Published

2024-12-22

How to Cite

Fait, L., Krüger, J. J., Tarach, M., & Wetzel, H. (2024). Trend Projections of Greenhouse Gas Emission Reduction Potentials: A Bootstrap-Based Nonparametric Efficiency Analysis. International Journal of Energy Economics and Policy, 15(1), 607–620. https://doi.org/10.32479/ijeep.17718

Issue

Section

Articles