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Matching market signals to the Canadian wood products value chain a disaggregated trade-flow analysis. Chris Gaston Wei-Yew Chang Mahsa Mojahednia Department of Wood Science, UBC FPInnovations February 20, 2014 . Some context: wood-use in the U.S. Source: RISI, Boston, Massachusetts. - PowerPoint PPT Presentation
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Matching market signals to the Canadian wood products value chaina disaggregated trade-flow analysis
Chris GastonWei-Yew Chang
Mahsa MojahedniaDepartment of Wood Science, UBC
FPInnovations
February 20, 2014
Some context: wood-use in the U.S.
Gaston Feb. 2014 Page 2 of 13
Source: RISI, Boston, Massachusetts
US housing starts
Gaston Feb. 2014 Page 3 of 13
Source: US Census Bureau
‘Stick-built’ platform frame construction
The average cost of rough framing, sheathing, soffit, and door / window installation is as low as $8 per sq. ft.($16,000 for a 2,000 sq. ft. home)
Gaston Feb. 2014 Page 4 of 13
Pre-fabricated / modular construction
Gaston Feb. 2014 Page 5 of 13
Move to 6-story multi-family Library Square, Kamloops, BC, 2010
Source: WoodWorks
Gaston Feb. 2014 Page 6 of 13
Move to 6-story multi-family Residential, University of BC, 2013
Source: Adera, Vancouver
Gaston Feb. 2014 Page 7 of 13
Six story hybrid wood-concreteOffice building, Quebec, 2010
Source: FPInnovations
Gaston Feb. 2014 Page 8 of 13
Six story hybrid wood-concrete
Source: FPInnovations
Concrete cores / walls to resist lateral loads
Glulam post & beam
Gaston Feb. 2014 Page 9 of 13
Five story hybrid wood-concrete
Source: Perkins + Will
Earth Sciences Building, UBC
Gaston Feb. 2014 Page 10 of 13
Five story hybrid wood-concrete
Source: Perkins + Will
Earth Sciences Building, UBC
Gaston Feb. 2014 Page 11 of 13
‘Tall Buildings’
“We are in a unique moment in architectural and building engineering history when shifting world needs has asked us to question some of the fundamentals of how we have built for the last century and how we will build in the next.”
Michael Green
Source: Michael Green Architecture
Gaston Feb. 2014 Page 12 of 13
Disaggregated trade-flow analysis
Based on the Forintek Global Trade model (Gaston & Delcourt 1998, Gaston & Marinescu 2006)
Demonstrates the value of disaggregating production, consumption, and trade data into a “like” softwood lumber products.
2013/14 A comprehensive trade forecasting tool for two categories of lumber:
‐ US construction / US industrial and China ‐ US home centre +, Japan, Europe
2014/15 Add new categories of lumber, pellets, and logs (saw logs, pulp logs and fuel wood).
Who wins the fibre auction? VCO implications (strategic and policy)
Gaston Feb. 2014 Page 13 of 13
Questions?Chris Gaston, Ph.D.
[email protected] [email protected] 827 1417
Matching Market Signals to Canadian VCO: A Disaggregated Trade-Flow Analysis
Wei-Yew Chang & Chris GastonDepartment of Wood Science, UBC
VCO Webinar Winter SessionMarch 05, 2014
The Competitiveness of Canadian Softwood Lumber - A Disaggregated Trade Flow Analysis
Introduction¨ Spatial equilibrium models have been frequently used by
researchers to analyze trade flow changes in forest products markets.
¨ Studies tended to use aggregated product groups (e.g. lumber, plywood etc.) and assumed various products are homogeneous.
Research Questions:¨ How to address the issue of forest products homogeneity?¨ What are the implications of ignoring homogeneity in strategic
value chain optimization and policy planning?
Research Objectives (achieved)1. Disaggregate global softwood lumber into two product groups: Higher grade lumber (SWL #1) (appearance, select structural, and Japanese-J grade).
Lower grade lumber (SWL #2) (U.S. dimension used in construction and utility/economy grade).
2. Utilize & develop a spatial equilibrium model to project future disaggregated softwood lumber trade flows (2011-2021)
The Competitiveness of Canadian Softwood Lumber - A Disaggregated Trade Flow Analysis
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Research Methods Forintek Global Trade model (Gaston & Delcourt 1998, Gaston & Marinescu 2006)
-Demonstrates the value of disaggregating production, consumption, and trade data into “like” softwood lumber products.
-Considers n regions spatially apart and transportation costs are considered when determining prices and quantities that maximize total economic welfare (surplus) in the market.
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The Competitiveness of Canadian Softwood Lumber - A Disaggregated Trade Flow Analysis
Research Methods 13 Countries/regions 7 Net supply (export) regions: Canada, U.S. Export (mainly from
U.S. West), Europe Export (i.e. Germany, Austria, Finland, Sweden, Estonia, Latvia, and Lithuania), Russia Federation, New Zealand, Chile, and Rest of World Export.
6 Net demand (import)regions: U.S. Import (mainly from U.S. South and North), Japan, Korea, China, Europe Import (i.e. Norway, Switzerland, and EU-27 countries other than the Europe Export countries mentioned above), and Rest of World Import.
The Competitiveness of Canadian Softwood Lumber - A Disaggregated Trade Flow Analysis
Research Methods Data sources (2011 as base year) 1. Trade flow data - Global Trade Atlas® (HS Code-4407)
2. Two Price categories to separate two product groups - Net export regions: (i) US$150/m3 & up (~$350/MBF) SWL#1 (ii) Less than US$150/m3 SWL#2 - Net import regions: price categories above + transportation costs
3. Production, consumption, transportation costs, and price elasticity data
- FAO, Statistics Canada, government reports, and other studies
The Competitiveness of Canadian Softwood Lumber - A Disaggregated Trade Flow Analysis
Results Aggregated vs. disaggregated trade flows (2011) Calibrated base case results (2011) Predicted trade flows for the 2011-2021 period
The Competitiveness of Canadian Softwood Lumber - A Disaggregated Trade Flow Analysis
Aggregated Softwood lumber Export to import region
US Imports
Japan Korea China Europe Importc
Rest of World
Total Exports
Canada 20,735.5 2,730.4 322.3 7,395.7 261.0 1,645.3 33,090.2 US Export 9,075.5 413.3 37.4 1,023.0 62.9 2,603.4 13,215.5
Europe Exportb 258.9 2,066.6 110.4 409.1 18,846.2 7,375.3 29,066.5 Russia
Federation 0.0 1,077.8 285.5 6,856.7 1,521.0 5,313.2 15,054.2
New Zealand 167.9 142.6 150.4 386.2 19.6 1,035.0 1901.7 Chile 696.0 342.1 279.4 880.9 62.3 1,458.1 3,718.8
Rest of World 538.4 802.6 105.1 163.7 4,740.4 1,859.2 8,209.4 Total Imports 31,472.2 7,575.4 1,290.5 17,115.3 25,513.4 21,289.5 104,256.3
Disaggregated softwood lumber # 1
Export to import region
US Imports
Japan Korea China Europe Importc
Rest of World
Total Exports
Canada 5,172.5 2,730.4 321.9 1,070.7 261.0 1,644.2 11,200.7 US Export 1,815.1 413.3 35.7 933.3 62.9 2,602.3 5,862.6
Europe Exportb 258.9 2,066.6 110.4 409.1 18,846.2 7,375.3 29,066.5 Russia
Federation 0.0 1,077.8 285.5 49.8 1,521.0 5,313.2 8,247.3
New Zealand 167.9 142.6 150.4 386.2 19.6 1,035.0 1,901.7 Chile 187.5 342.1 279.4 51.6 62.3 27.0 949.9
Rest of World 538.4 802.6 105.1 163.7 4,740.4 1,858.2 8,208.4 Total Imports 8,140.3 7,575.4 1,288.4 3,064.4 25,513.4 19,855.2 65,437.1
Disaggregated softwood lumber # 2
Export to import region
US Imports
Japan Korea China Europe Import
Rest of World
Total Exports
Canada 15,563.0 0.0 0.4 6,325.0 0.0 1.1 21,889.5 US Export 7,260.4 0.0 1.7 89.7 0.0 1.1 7,352.9
Europe Export 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Russia
Federation 0.0 0.0 0.0 6,806.9 0.0 0.0 6,806.9
New Zealand 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Chile 508.5 0.0 0.0 829.3 0.0 1,431.1 2,768.9
Rest of World 0.0 0.0 0.0 0.0 0.0 1.0 1.0 Total Imports 23,331.9 0.0 2.1 14,050.9 0.0 1,434.3 38,819.2
Results- Aggregated vs. disaggregated SWL Trade flows in 2011(‘000 m3)
• 25% and 75% of Canadian SWL exports to US are SWL#1 and SWL #2, respectively.
• 100% of Canadian SWL exports to Japan is SWL #1.
• 85% of SWL exports to China is SWL #2.
The Competitiveness of Canadian Softwood Lumber - A Disaggregated Trade Flow Analysis
Calibrated base case results (2011)
The Competitiveness of Canadian Softwood Lumber - A Disaggregated Trade Flow Analysis
Region Production Consumption Price Million m3 % of Actual Million m3 % of Actual $/m3 % of Actual Softwood lumber #1 Canada 17.51 98.1% 6.70 100.6% 234 99.4% US_EX 11.99 98.6% 6.34 100.7% 219 99.3% EU_EX 61.55 98.8% 33.39 100.6% 263 99.4% Russia 15.72 98.8% 7.72 100.6% 243 99.4% NZ 3.89 98.9% 2.04 100.5% 330 99.5% Chile 1.64 98.7% 0.72 100.5% 289 99.5% ROW_EX 17.28 98.3% 9.44 100.7% 223 99.3% US_IM 8.66 98.7% 16.56 100.7% 226 99.3% Japan 9.22 99.2% 15.93 100.4% 359 99.6% Korea 2.95 98.8% 4.11 100.6% 248 99.4% China 3.97 98.7% 7.43 100.7% 224 99.3% EU_IM 33.22 98.7% 58.44 100.7% 229 99.3% ROW_IM 33.83 98.8% 52.62 100.6% 259 99.4% Softwood lumber #2 Canada 34.53 99.0% 13.23 101.7% 139 99.7% US_EX 15.05 98.7% 8.07 102.2% 110 99.6% EU_EX 0.0 n/a 0.0 n/a 0.0 n/a Russia 13.03 99.2% 6.46 102.1% 114 99.6% NZ 0.0 n/a 0.0 n/a 0.0 n/a Chile 4.78 98.7% 2.12 102.2% 109 99.6% ROW_EX 0.00 99.0% 0.00 101.7% 144 99.7% US_IM 26.06 98.9% 50.27 101.8% 131 99.6% Japan 0.0 n/a 0.0 n/a 0.0 n/a Korea 0.66 99.0% 0.92 101.6% 148 99.7% China 13.79 99.3% 25.78 101.2% 194 99.8% EU_IM 0.0 n/a 0.0 n/a 0.0 n/a ROW_IM 1.80 98.9% 2.83 101.8% 132 99.6%
Calibrated base case results (2011)
US_IM Japan Korea China Europe_IM ROW
5.48
1.070.19
0.56
1.80 1.71
5.17
2.73 0.32 1.07 0.26 1.64
Canada Exports SWL #1-2011
Projected Actual
Import Regions
Mill
ion
M3
US_IM Japan Korea China Europe_IM ROW
15.05
0.00
0.05
6.11
0.00 0.09
15.56
0.00
0.00
6.33
0.000.00
Canada Exports SWL #2-2011Projected Actual
Import Regions
The Competitiveness of Canadian Softwood Lumber - A Disaggregated Trade Flow Analysis
Assumed annual supply and demand changes (%) (2012-2021)
Regions 2012-2016 2017-2021 Supply Demand Supply DemandSoftwood lumber #1 Canada -1.9 0 -1.9 0US_EX 0.0 2.0 0.0 2.0EU_EX 1.0 0.0 1.0 0.0Russia 1.0 0.0 1.0 0.0NZ 2.0 0.0 2.0 0.0Chile 2.0 2.0 2.0 2.0ROW_EX 1.5 1.4 1.5 1.4US_IM 0.0 2.0 0.0 2.0Japan 2.0 0.0 2.0 0.0Korea 0.0 0.0 0.0 0.0China 0.0 0.0 1.0 1.0EU_IM 0.0 0.0 0.0 0.0ROW_IM 0.0 1.4 0.0 1.4Softwood lumber #2 Canada -2.9 0.0 -3.3 0.0US_EX 0.5 3.0 0.5 3.0EU_EX n/a n/a n/a n/aRussia 1.0 0.0 1.0 0.0NZ n/a n/a n/a n/aChile 2.0 2.0 2.0 2.0ROW_EX 0.0 0.0 0.0 0.0US_IM 0.0 3.0 0.0 5.0Japan n/a n/a n/a n/aKorea 0.0 0.0 0.0 0.0China 0.0 4.0 0.0 4.0EU_IM n/a n/a n/a n/aROW_IM 0.0 1.4 0.0 1.4
Sources: FAO (2009), Wood Markets (2011,2013), British Columbia Ministry of Forests and Range (2007), Sedjo (1999)
• Mountain pine beetle infestations in Canada• Recovery in US housing starts• Supply growth in Russia, NZ, Chile, & ROW• Wood self-sufficiency policy in Japan• High Lumber demand in China
The Competitiveness of Canadian Softwood Lumber - A Disaggregated Trade Flow Analysis
Predicted trade flows for the 2011-2021 period
The Competitiveness of Canadian Softwood Lumber - A Disaggregated Trade Flow Analysis
Predicted trade flows for the 2011-2021 period
The Competitiveness of Canadian Softwood Lumber - A Disaggregated Trade Flow Analysis
Predicted trade flows for the 2011-2021 period
The Competitiveness of Canadian Softwood Lumber - A Disaggregated Trade Flow Analysis
Predicted trade flows for the 2011-2021 period
The Competitiveness of Canadian Softwood Lumber - A Disaggregated Trade Flow Analysis
Conclusions Forintek Global Trade Model predicted well for the 2011
trade of SWL#1 and SWL#2. Results provided strong market signals to link back to
upstream supply chain. Forintek model displayed great flexibility for different
scenarios analysis.-e.g. exchange rates, trade barriers, transportation costs, price elasticities, etc.
The Competitiveness of Canadian Softwood Lumber - A Disaggregated Trade Flow Analysis
Next Step Further disaggregate lumber (high/construction/low). Add logs (saw and pulp) and biomass (e.g. chips, wood
pellets, etc.). Project logs, lumber, and biomass trade flows. Link logs, lumber, and biomass into trade model. Link global market signals to lumber production
decisions, and ultimately log allocation. Integrate results with other VCO projects.
The Competitiveness of Canadian Softwood Lumber - A Disaggregated Trade Flow Analysis
Questions & Discussion
The Competitiveness of Canadian Softwood Lumber - A Disaggregated Trade Flow Analysis