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price determination of forest feedstocks under different next - - PowerPoint PPT Presentation
price determination of forest feedstocks under different next - - PowerPoint PPT Presentation
A geographically explicit approach for price determination of forest feedstocks under different next generation biofuel production scenarios The case of Sweden Ismail Ouraich Postdoctoral Researcher, LTU 1 Outline Objective &
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Outline
- Objective & Motivation
- Model description
– Demand, Supply, Geography
- Soft linkage with BeWhere-Sweden
- Some initial results
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Objective & Motivation
- A price determination model
– Based on a simple demand/supply framework – Geographically explicit at gridcell level
- Focus on Swedish forest feedstock markets
domestically
– No trade linkages, etc.
- ”Soft-link” to other high-end models
– BeWhere-Sweden (primary focus) – PE, CGE, models
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- Generate a matrix of new “market” prices;
- The “market” prices matrix is used as an input to
the BeWhere-Sweden model
– Represents an updated cost matrix for the forest feedstocks, which is geographically explicit
- Reiterate the process for all the scenarios in the
BeWhere model
– to simulate demand-side pressures on the forest feedstock markets
”Soft-Link” to BeWhere-Sweden
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Model description
Supply & Harvest Cost
- Given at gridcell level
for 7 feedstock types
– 7 raw forest-based feedstock
- Sawlogs, pulpwood,
branches&tops, and stumps
- Final felling and
thinning
Demand
- Estimated via
BeWhere-Sweden
– Provides initial data to be calibrated using a distance-decay framework – Need to account for demand competition among different locations
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Model description
- Regional supply curves are estimated based on
gridcell-level data on
– Forest biomass availability – Harvesting costs
- Regional supply curves constructed as a
cumulative step-function of merit order
- Demand schedule at gridcell level from
BeWhere-Sweden
– Estimated using a distance-decay method
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Model description
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Model description
- Prices are determined based on regionalized
juxtaposition between gridcell demand and regional supply
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Model description
- Supply and cost of the forest feedstock assumed
fixed initially
– Can be potentially changed via alternative scenarios introduced as “supply shifts” (e.g. change in harvest technology, supply shocks due to climate change, etc.)
- The key element in the model is the “distance-
decayed” adjusted demand
– The concept of “distance decay” stems from Newtonian physics on gravity – Used extensively in “gravity models” of trade
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Model description
- The objective of introducing the “distance-decay”
calibration is to account for the potential friction among different demand nodes
– i.e. potential competition
- In the model, we compute the “distance-decay”
calibrated demand as: with
𝑌𝐸 =
𝑗,𝑛 𝐵𝑒𝑘
𝑌𝐸 +
𝑗,𝑛
𝑌𝐸 𝑗,𝑛,𝑜
𝑒𝑓𝑑𝑏𝑧 𝑜≠𝑛
𝑌𝐸 =
𝑗,𝑛,𝑜 𝑒𝑓𝑑𝑏𝑧
𝛽 × 𝑌𝐸𝑗,𝑛 × 1 − 𝑒𝑛,𝑜 𝑒𝑛𝑏𝑦
𝛿
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Initial results
Demand - Pulpwood final felling
BAU scenario 10TWh scenario 20TWh scenario
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Initial results
Adjusted demand - Pulpwood final felling
BAU scenario 10TWh scenario 20TWh scenario
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Initial results
Demand - Pulpwood thinning
BAU scenario 10TWh scenario 20TWh scenario
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Initial results
Adjusted demand - Pulpwood thinning
BAU scenario 10TWh scenario 20TWh scenario
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Summary of findings
Pulpwood from final felling and thinning
- Spatial distribution of demand for pulpwood
displays substantial changes
– BAU vs. 10TWh and BAU vs. 20TWh
- No substantial change observed in the case of
10TWh vs. 20TWh scenarios
– Minor changes observed for a limited number of gridcells – Changes observed only in terms of magnitude of the level of demand
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Initial results
Demand – Branches&Tops final felling
BAU scenario 10TWh scenario 20TWh scenario
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Initial results
Adjusted demand – Branches&Tops final felling
BAU scenario 10TWh scenario 20TWh scenario
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Initial results
Demand – Branches&Tops thinning
BAU scenario 10TWh scenario 20TWh scenario
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Initial results
Adjusted demand – Branches&Tops thinning
BAU scenario 10TWh scenario 20TWh scenario
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Summary of findings
Branches&Tops from final felling and thinning
- Spatial distribution of demand for branches&tops
displays substantial changes
– BAU vs. 10TWh and BAU vs. 20TWh
- No substantial change observed in the case of
10TWh vs. 20TWh scenarios
– Minor changes observed for a limited number of gridcells – Changes observed only in terms of magnitude of the level of demand
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Initial results
Price for biomass
Scenario 1: 10 TWh Scenario 2: 20 TWh Level (in MEUR/TWh) Percent change (in %) Level (in MEUR/TWh) Percent change (in %) Avg Max Min Avg Max Min Avg Max Min Avg Max Min Final felling Sawlogs 19,84 20,71 19,08 0,23 1,13 0,002 19,84 20,71 19,08 0,23 1,13 0,002 Pulpwood 13,28 16,73 12,66 0,93 18,95 0,004 13,28 16,73 12,66 0,93 18,95 0,004 Branches & Tops 13,94 15,68 13,60 0,45 7,17 0,003 13,94 15,68 13,60 0,45 7,17 0,001 Stumps 21,23 22,08 20,75 n.a. n.a. n.a. 21,23 22,08 20,75 n.a. n.a. n.a. Thinning Sawlogs 24,05 25,74 22,50 n.a. n.a. n.a. 24,06 25,74 22,50 n.a. n.a. n.a. Pulpwood 16,36 20,51 14,95 0,99 14,19 0,01 16,36 20,51 14,95 0,99 14,19 0,01 Branches & Tops 15,57 16,80 14,87 0,38 1,91 0,01 15,57 16,80 14,87 0,38 1,91 0,01 Stumps n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.
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Initial results – Price
Pulpwood final felling – 10TWh
Supply Demand Price (%change)
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Initial results – Price
Pulpwood final felling – 20TWh
Supply Demand Price (%change)
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Initial results – Price
Pulpwood thinning – 10TWh
Supply Demand Price (%change)
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Initial results – Price
Pulpwood thinning – 20TWh
Supply Demand Price (%change)
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Summary of findings
Pulpwood from final felling and thinning
- Spatial location of price changes matches
expectations
– Driven primarily by the spatial distribution of supply and demand
- Spatial distribution of price changes varies little
across simulation scenarios
– Price changes more pronounced for pulpwood from final felling vs. thinning – The spatial distribution more dispersed for pulpwood from thinning vs. final felling
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Initial results – Price
Branches&Tops final felling – 10TWh
Supply Demand Price (%change)
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Initial results – Price
Branches&Tops final felling – 20TWh
Supply Demand Price (%change)
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Initial results – Price
Branches&Tops thinning – 10TWh
Supply Demand Price (%change)
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Initial results – Price
Branches&Tops thinning – 20TWh
Supply Demand Price (%change)
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Summary of findings
Branches&Tops from final felling and thinning
- Similar results to pulpwood
– Spatial location of price change driven by the spatial distribution of supply and demand
- Spatial distribution of price changes varies little
across simulation scenarios
– Price changes more pronounced for pulpwood from final felling vs. thinning – The spatial distribution more dispersed for pulpwood from thinning vs. final felling
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Summary & Conclusions
- Spatial location of price changes matches
expectations for pulpwood and branches&tops
– Primary driver is the spatial distribution of supply and demand
- Spatial distribution of price changes differs for
pulpwood and branche&tops based on the harvesting operation
– i.e. final felling or thinning
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Summary & Conclusions
- Spatial distribution of price changes remains
unchanged between the energy scenarios
– i.e. 10TWh and 20TWh
- Price changes more pronounced for pulpwood
from final felling vs. thinning
- The spatial distribution more dispersed for
pulpwood from thinning vs. final felling
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Potential future work
- ”Soft-link” with more
complex economic models
– I-O, PE, CGE models
- Geographically explicit
– But at higher degree of aggregation (e.g. county- level)
- Allows for more complex
analysis
– Welfare impact evaluation – Tax and/or subsidy policy – Second-degree effects – Etc.
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THANK YOU
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Additional slides
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Initial results
Demand - Sawlogs final felling
BAU scenario 10TWh scenario 20TWh scenario
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Initial results
Demand - Sawlogs thinning
BAU scenario 10TWh scenario 20TWh scenario
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Initial results
Demand - Stumps final felling
BAU scenario 10TWh scenario 20TWh scenario
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Initial results – Regional supply
Sawlogs final felling – 10TWh
Supply Demand Price (%change)
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Initial results – Regional supply
Sawlogs final felling – 20TWh
Supply Demand Price (%change)
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Initial results – National supply
Sawlogs final felling – 10TWh
Supply Demand Price (%change)
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Initial results – National supply
Sawlogs final felling – 20TWh
Supply Demand Price (%change)
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Initial results – National supply
Pulpwood final felling – 10TWh
Supply Demand Price (%change)
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Initial results – National supply
Pulpwood final felling – 20TWh
Supply Demand Price (%change)
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Initial results – National supply
Branches&Tops final felling – 10TWh
Supply Demand Price (%change)
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Initial results – National supply
Branches&Tops final felling – 20TWh
Supply Demand Price (%change)
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Initial results – Regional supply
Stumps final felling – 10TWh
Supply Demand Price (%change)
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Initial results – Regional supply
Stumps final felling – 20TWh
Supply Demand Price (%change)
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Initial results – National supply
Stumps final felling – 10TWh
Supply Demand Price (%change)
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Initial results – National supply
Stumps final felling – 20TWh
Supply Demand Price (%change)
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Initial results – Regional supply
Sawlogs thinning – 10TWh
Supply Demand Price (%change)
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Initial results – Regional supply
Sawlogs thinning – 20TWh
Supply Demand Price (%change)
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Initial results – National supply
Sawlogs thinning – 10TWh
Supply Demand Price (%change)
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Initial results – National supply
Sawlogs thinning – 20TWh
Supply Demand Price (%change)
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Initial results – National supply
Pulpwood thinning – 10TWh
Supply Demand Price (%change)
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Initial results – National supply
Pulpwood thinning – 20TWh
Supply Demand Price (%change)
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Initial results – National supply
Branches&Tops thinning – 10TWh
Supply Demand Price (%change)
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Initial results – National supply
Branches&Tops thinning – 20TWh
Supply Demand Price (%change)
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Initial results
Price spatial distribution - Pulpwood
Final felling – 10TWh Thinning – 10TWh
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Initial results
Price spatial distribution - Pulpwood
Final felling – 20TWh Thinning – 20TWh
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Initial results
Price spatial distribution – Branche&Tops
Final felling – 10TWh Thinning – 10TWh
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Initial results
Price spatial distribution – Branches&Tops
Final felling – 20TWh Thinning – 20TWh