Cross-country distribution dynamics of carbon emissions and intensity: Before and after the global financial crisis
DOI:
https://doi.org/10.15353/rea.v16i3.5332Keywords:
Carbon emissions, Global financial crisis, Distribution dynamics, Convergence clubs, Income levelsAbstract
Our study employs the distribution dynamics approach to uncover transition probabilities and the long-term evolution of relative per capita carbon emissions (REPC) and relative carbon intensity (REPGDP) across 204 countries. We split the period of analysis into pre-crisis (2000-2007), and post-crisis (2007-2016) and divided countries into four income groups. The results indicate the emergence of new convergence clubs post-crisis in both REPC and REPGDP. On the one hand, the majority (many) of the low- (high) income countries congregate to extremely low (above the global average) REPC levels in the long run. On the other hand, most of the upper-medium- (high) income economies cluster around REPGDP levels far above (below) the global average. Finally, using mobility probability plots, we identify above-average carbon emitters with the highest probabilities of diverging further above the global average in the coming years. The study delivers nascent evidence supporting the usefulness of the MPP display tool in clarifying the positions and responsibilities of specific countries in future agreements on climate change. The results support the argument for using both measures of carbon emissions as a suite of future multilateral climate negotiations and policies.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Michal Wojewodzki, Yigang Wei, Tsun Se Cheong, Xunpeng Shi
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The Review of Economic Analysis is committed to the open exchange of ideas and information.
Unlike traditional print journals which require the author to relinquish copyright to the publisher, The Review of Economic Analysis requires that authors release their work under Creative Commons Attribution Non-Commercial license. This license allows anyone to copy, distribute and transmit the work provided the use is non-commercial and appropriate attribution is given.
A 'human-readable' summary of the licence is here and the full legal text is here.