|Working Group III: Mitigation|
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8.4.3 Economywide Impact of CO2 Stabilization in the Post-SRES
The economy-wide impact of stabilizing atmospheric CO2 concentrations was assessed based on 42 post-SRES stabilization scenarios developed using the AIM, ASF, MARIA, MiniCAM, MESSAGE, and World SCAN models. These scenarios were developed by applying various mitigation policies and measures to the six illustrative scenarios (baselines) presented in the Special Report on Emission Scenarios (SRES).
The economy-wide impact of CO2 stabilization was assessed on the basis of the difference in GDP in baseline scenarios and corresponding stabilization cases in a given year. This difference is expressed in percent (reflecting a relative GDP loss) and is positive when GDP in a baseline scenario is larger than in a stabilization case and is negative when GDP in a stabilization scenario is larger. Such an approach to measuring effects of stabilization was selected since it better reflects the societal burden of emission stabilization than absolute changes in GDP. For example, a 1% reduction in the 2100 GDP of the SRES A1 world is equal to about US$5.5 trillion and is larger in absolute terms than a 2% or US$5.0 trillion reduction in the 2100 GDP of the poor A2 world. Nonetheless, the relative level of effort in the latter case would be much greater. It should be also emphasized here that the GDP reduction itself represents a very crude indicator of economic consequences of the CO2 stabilization. For example, most of the stabilization scenarios reviewed here have not rigorously accounted for the economic effects of introducing new low-emission technologies, new revenue rising instruments or adequate inter-regional financial and technology transfers, all elements which contribute to lower the costs as explained in the rest of the chapter.
The average GDP reduction in most of the stabilization scenarios reviewed here is under 3% of the baseline value (the maximum reduction across all the stabilization scenarios reached 6.1% in a given year). At the same time, some scenarios (especially in the A1T group) showed an increase in GDP compared to the baseline due to apparent positive economic feedbacks of technology development and transfer. The GDP reduction (averaged across storylines and stabilization levels) is lowest in 2020 (0.99%), reaches a maximum in 2050 (1.45%) and declines by 2100 (1.30%). However, in the scenario groups with the highest baseline emissions (A2 and A1FI), the size of the GDP reduction increases throughout the modelling period.
Due to their relatively small scale when compared to absolute GDP levels, GDP reductions in the post-SRES stabilization scenarios do not lead to significant declines in GDP growth rates over this century. For example, the annual 1990-2100 GDP growth rate across all the stabilization scenarios was reduced on average by only 0.003% per year, with a maximum reduction reaching 0.06% per year.
Figure 8.18 shows the relationship between the relative GDP reduction, the scenario group, and the stabilization level in 2050. The reduction in GDP tends to increase with the stringency of the stabilization target. But the costs are very sensitive to the choice of baseline scenario. The maximum relative reduction occurs in the A1FI scenario group, followed by the other A1 scenario groups and the A2 group, while the minimum reduction occurs in the B1 group20 . By 2100, the situation slightly changes with GDP reductions in the A2 scenario group becoming relatively more pronounced.
Differences in relative GDP reductions in different scenario groups are explained by the magnitude of corresponding CO2 emission reductions needed to achieve a particular stabilization level. The emission reduction is apparently the largest in the A1FI scenario group, which is also associated with the largest GDP loss (Figure 8.19). Meanwhile, the smallest relative GDP loss occurs in the A1T and B1 groups, which have low baseline emissions and accordingly require the smallest reductions to reach the CO2 stabilization.
Regional GDP reduction patterns in the post-SRES stabilization scenarios are also generally explained by corresponding required reductions in CO2 emissions, which are determined by baseline emissions, the stabilization levels, assumptions about emissions trading mechanisms and about the relative contribution of regions to global CO2 emissions; reduction and associated financial and technology transfer. In most of the baseline (SRES) scenarios starting from 2020, absolute CO2 emissions in developing (non-Annex I) regions remain larger for the rest of the 21st century than in the industrialized (Annex I) regions.
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