5.2.3. Financial Analysis of LULUCF Project Activities
Financial analyses of GHG reductions by projects are rarely comparable because
no standard method of evaluation has emerged and come into wide use. Financial
analysis of direct, indirect, initial, and recurring costs, as well as the stream
of revenues, varies across projects. Available cost estimates for LULUCF projects
often include direct costs incurred by the project developers: land purchase
or rental costs, if necessary; land clearing and site preparation; initial planting
or other activity costs; annual, recurring costs of project maintenance and
management-including, for example, periodic thinning or other stand improvement
or weed control in agricultural soil management; and sometimes the establishment
of monitoring data collection and evaluation systems.
Opportunity costs of land (i.e., the present value of alternative opportunities
or uses of the land, at the margin) are often not included in financial analyses
of projects. Other costs often overlooked are infrastructure costs (e.g., road
development), monitoring data collection and interpretation costs, and maintenance
or other recurring costs that will be incurred in the future (Mulongoy et
al., 1998; Witthoeft-Muehlmann, 1998). The stream of revenues is not widely
reported for projects to date, in part because few revenues have accrued in
their early stages of implementation. Revenues may be generated by the sale
of logs or value-added products from timber harvest, sale of fuelwood or non-timber
products such as medicinal plants, usage fees for access, government or NGO
grants for subsidies, in-kind contributions, and sale of emissions reductions.
Project-level financial analysis methods are widely used and fairly standardized
in development assistance and private investment projects. They have yet to
be consistently applied to and reported for LULUCF projects, however-in part
because of the highly varied expertise of early actors in such projects (Mulongoy
et al., 1998). A standard approach for comparing the economic attractiveness
of different projects would compare the time flow of revenues-including the
sale of emissions reductions and crediting rules applying to them-with the time
flow of expenditures, applying appropriate discount rates. Detailed financial
data are not available for most LULUCF projects, however, so the economic indicators
often are obtained simply by dividing a project's total carbon sequestration
or emissions avoidance over time by total expenditures (e.g., Witthoeft-Muehlmann,
1998). A further complication relates to how emissions reductions are allocated
between the sellers and investors. The unit cost of reduction will vary directly
with the percentage of total reductions that accrue to the investor.
Cost and investment estimates are available for virtually all of the projects
in Table 5-2; because of the different methods
used in the estimates, however, only summary ranges are reported in Table
5-3. The costs of GHG benefits in these projects range from $0.1-28 per
t C, simply dividing project costs by their total reported carbon benefits.
Most of the cost estimates are in the range of $1-15 per t C, with a higher
range for reforestation and afforestation projects (reflecting the inclusion
of temperate and boreal projects). Mulgonoy et al. (1998) reviewed cost
estimates for LULUCF carbon projects and found that most estimates for the tropics
fall in the range of $2-25 per t C. Two other reviews reported costs of sets
of projects in temperate and tropical biomes ranging from $4-26 (Swisher and
Masters, 1992) and $2-12 per t C (Witthoeft-Muehlmann, 1998). Other studies
are consistent with these results (Dixon et al., 1993; Brown et al.,
1996; Stuart and Moura-Costa, 1998).
Table 5-3: Undiscounted cost and carbon mitigation
over project lifetime of selected AIJ Pilot Phase and other LULUCF projects in
some level of implementation.a
|
|
Project Type (number of projects) |
Land Area
(Mha)
|
Total Carbon
Mitigation (Mt C)
|
Costs
($/t C)
|
Total Carbon Mitigation
per Unit Area (t C ha-1)
|
|
Emissions Avoidance via Conservation: |
Forest Protection (7) |
2.8
|
41-48
|
0.1-15
|
4-252
|
Forest Management (3) |
0.06
|
5.3
|
0.3-8
|
41-102
|
Carbon Sequestration |
Reforestation and Afforestation (7) |
0.10
|
10-10.4
|
1-28
|
26-328
|
Agroforestry (2) |
0.2
|
10.5-10.8
|
0.2-10
|
26-56
|
Multi-Component and Community Forestry (2) |
0.35
|
9.7
|
0.2-15
|
0.2-129
|
|
a Figures taken from project reports and published project reviews. Cost
and carbon mitigation figures have been estimated using different methodologies,
may not be comparable, and have not been independently reviewed. Cost values
are estimated by dividing undiscounted costs and investment by estimated total
carbon mitigation.
|
|
Other methodological issues include the absence of discounting in most of the
available cost estimates, to reflect the time value of the investment and the
production of GHG benefits. The choice of accounting approach also is important.
If the ton-year approach (Section 5.4.2.) were used, these
costs would tend to rise from about 50 percent to several times that, because
fewer GHG benefits could be credited over a similar time frame.
Estimated total investment committed to date in projects in Table
5-3 is about $160 million; this amount could grow to about $330 million
if these projects were fully funded and implemented, although these estimates
are provisional (EPA/USIJI, 1998; Stuart and Moura-Costa, 1998; Witthoeft-Muehlmann,
1998). Developers' project costs per ton of carbon are likely to change from
these initial estimates over time. The price and supply of certified emissions
reductions will be revealed if a market for them develops and as the eventual
eligibility and requirements for various articles of the Kyoto Protocol become
known. Costs may tend to decrease if economies of scale and technology transfer
become widely available, potentially via development of portfolios of projects
by entities transferring common, state-of-the-art methods to countries and projects.
The Costa Rican Government's PAP, for example, undertook land-use data collection,
baseline development, and establishment of monitoring systems for virtually
all public lands in the country. The parallel Private Forest Program (PFP) provided
some of the same services for private forest lands. In both cases, the goal
was to reduce barriers to investment for carbon benefits (Tattenbach, 1996;
Subak, 2000).
|