Table SPM.1: Estimates of potential global
greenhouse gas emission reductions in 2010 and in 2020
(Sections 3.3-3.8 and Chapter
3 Appendix)
|
|
Sector |
|
Historic emissions
in
1990
|
Historic
Ceq annual growth rate in 1990-1995
|
Potential
emission reductions
in 2010
|
Potential
emission reductions
in 2020
|
Net direct costs per tonne of carbon avoided
|
|
|
(MtCeq/yr)
|
(%)
|
(MtCeq/yr)
|
(MtCeq/yr)
|
|
|
Buildingsa
|
CO2
only |
1,650
|
1.0
|
700-750
|
1,000-1,100
|
Most reductions are available at negative net direct costs. |
|
Transport
|
CO2
only |
1,080
|
2.4
|
100-300
|
300-700
|
Most studies indicate net direct costs less than US$25/tC
but two suggest net direct costs will exceed US$50/tC. |
|
Industry
|
CO2
only |
2,300
|
0.4
|
|
|
|
-energy_efficiency |
|
|
|
300-500
|
700-900
|
More than half available at net negative direct costs. |
-material_efficiency |
|
|
|
~200
|
~600
|
Costs are uncertain. |
|
Industry
|
Non-
CO2
gases |
170
|
|
~100
|
~100
|
N2O emissions reduction costs are US$0-US$10/tCeq.
|
|
Agricultureb
|
CO2
only |
210
|
|
|
|
Most reductions will cost between US$0-100/tCeq
with limited opportunities for negative net direct cost options. |
|
Non-
CO2
gases |
1,250-2,800
|
n.a
|
150-300
|
350-750
|
|
Wasteb |
CH4
only |
240
|
1.0
|
~200
|
~200
|
About 75% of the savings as methane recovery from landfills
at net negative direct cost; 25% at a cost of US$20/tCeq. |
|
Montreal Protocol |
Non-CO2
gases |
0
|
n.a.
|
~100
|
n.a
|
About half of reductions due to difference in study replacement
applications baseline and SRES baseline values. Remaining half of the reductions
available at net direct costs below US$200/tCeq. |
|
Energy supply
and conversionc |
CO2 only |
(1,620)
|
1.5
|
50-150
|
350-700
|
Limited net negative direct cost options exist; many
options are available for less than US$100/tCeq. |
|
Total |
|
6,9008,400d
|
|
1,9002,600e
|
3,6005,050e
|
|
|
9. . To achieve stabilization at these levels, the
scenarios suggest that a very significant reduction in world carbon emissions
per unit of GDP from 1990 levels will be necessary. Technological improvement
and technology transfer play a critical role in the stabilization scenarios
assessed in this report. For the crucial energy sector, almost all greenhouse
gas mitigation and concentration stabilization scenarios are characterized by
the introduction of efficient technologies for both energy use and supply, and
of low- or no-carbon energy. However, no single technology option will provide
all of the emissions reductions needed. Reduction options in non-energy sources
and non-CO2 greenhouse gases will also provide significant potential
for reducing emissions. Transfer of technologies between countries and regions
will widen the choice of options at the regional level and economies of scale
and learning will lower the costs of their adoption (Sections 2.3.2,
2.4, 2.5).
Box SPM.2. Approaches to Estimating Costs and Benefits,
and their Uncertainties
For a variety of factors, significant differences and uncertainties surround
specific quantitative estimates of the costs and benefits of mitigation
options. The SAR described two categories of approaches to estimating
costs and benefits: bottom-up approaches, which build up from assessments
of specific technologies and sectors, such as those described in Paragraph
7, and top-down modelling studies, which proceed from macroeconomic
relationships, such as those discussed in Paragraph
13. These two approaches lead to differences in the estimates of costs
and benefits, which have been narrowed since the SAR. Even if these differences
were resolved, other uncertainties would remain. The potential impact
of these uncertainties can be usefully assessed by examining the effect
of a change in any given assumption on the aggregate cost results, provided
any correlation between variables is adequately dealt with.
|
10. Social learning and innovation, and changes in institutional
structure could contribute to climate change mitigation. Changes in collective
rules and individual behaviours may have significant effects on greenhouse gas
emissions, but take place within a complex institutional, regulatory and legal
setting. Several studies suggest that current incentive systems can encourage
resource intensive production and consumption patterns that increase greenhouse
gas emissions in all sectors, e.g. transport and housing. In the shorter term,
there are opportunities to influence through social innovations individual and
organizational behaviours. In the longer term such innovations, in combination
with technological change, may further enhance socio-economic potential, particularly
if preferences and cultural norms shift towards lower emitting and sustainable
behaviours. These innovations frequently meet with resistance, which may be
addressed by encouraging greater public participation in the decision-making
processes. This can help contribute to new approaches to sustainability and
equity (Sections 1.4.3, 5.3.8, 10.3.2,
10.3.4).
|