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Minnesota’s State Timber Sale Program:
An effort to stabilize logger stumpage
bidding
Photo: Potlatch Corp.Photo: MCEA
Ross Brown
Outline
• Background and Description of Timber Sales• Problem Description• Problem Statement• Alternatives• Evaluation Criteria• Data Sources and Methods of Analysis• Analysis Results• Conclusions/Recommendations
• Background/Stakeholders– MN owns ~4 million acres of forest land (25%) and
sells the right to harvest trees on their land.– DNR Forester appraises the value of wood and sets
up a sale.– Standing trees are sold to loggers at a public auction
(oral or sealed bid).– Loggers harvest trees and sell the wood to wood
products mills (OSB, lumber, paper).– Revenue from timber sales primarily goes to state K-
12 education.
Background Evaluation CriteriaProblem Description Data & MethodsProblem Statement Analysis ResultsAlternatives Conclusions
• DNR Timber Sale Program Goals– Maximize revenue for K-12 schools– Forest sustainability and multiple uses– Support local communities and wood products
industry
Background Evaluation CriteriaProblem Description Data & MethodsProblem Statement Analysis ResultsAlternatives Conclusions
Problem Description• 2005: Excellent market for MN wood products
loggers made very high stumpage bids, higher than the present value of the wood.
• 2006: Housing market declines, no market for MN wood products mills reduce production.
• Loggers are left with expensive stumpage contracts, but no mills are willing to buy the wood at high prices.
• Loggers are forced to forfeit their contracts
Background Evaluation CriteriaProblem Description Data & MethodsProblem Statement Analysis ResultsAlternatives Conclusions
Projecting Future Prices
$0
$10
$20
$30
$40
$50
$60
$70
-4 -3 -2 -1 0 1 2 3 4 5
Year
Pri
ce R
ecie
ved
at
Mil
l (l
ess
har
vest
ing
co
sts)
Past Prices
Estimated FuturePrices
Actual Future Prices
How did it get so bad?
• Excessive bidding at oral auctions– Bidders may get caught up in the excitement
of the oral auction.– May place bids that are higher than their true
willingness to pay.
Background Evaluation CriteriaProblem Description Data & MethodsProblem Statement Analysis ResultsAlternatives Conclusions
Problem Statement
Loggers are submitting stumpage bids that do not reflect the true present value of the wood.
Possible Causes:
Loggers are speculating about future prices.
Loggers place excessive bids when they get “caught up” in the auction format.
Background Evaluation CriteriaProblem Description Data & MethodsProblem Statement Analysis ResultsAlternatives Conclusions
Policy Alternatives• No Action
• Decrease Contract Lengths– More 2-3 year contracts
• More Sealed Bid Auctions– Fewer oral auctions
• Use 2nd Price Sealed Bid Auctions– Highest bid wins the auction, but only has to
pay the second highest bid price.
Background Evaluation CriteriaProblem Description Data & MethodsProblem Statement Analysis ResultsAlternatives Conclusions
- Economic Efficiency
Will the policy encourage loggers to make bids that reflect true willingness to pay?
- Equity
Will policy provide adequate opportunities for small loggers to purchase stumpage?
- Social Acceptability
Will the policy be acceptable to all stakeholders?
Evaluation Criteria
Background Evaluation CriteriaProblem Description Data & MethodsProblem Statement Analysis ResultsAlternatives Conclusions
Data & Methods• Regression Analysis
– Data: Records of all MN Timber Sales since 1994 (~13000 records).
– How did different sale characteristics (e.g., contract length, auction format) influence logger stumpage bidding?
• Interview with DNR Forester and DNR Timber Sales Program Supervisor– How do different stakeholders perceive the problem?– How would stakeholders feel about the various policy
alternatives?
Background Evaluation CriteriaProblem Description Data & MethodsProblem Statement Analysis ResultsAlternatives Conclusions
• OLS Regression– Use all 2005 pulpwood sales where the logger
size was known (n=555).– Dependent Variable = % Bid Up
• i.e. how much higher the selling price was than the appraised price.
– Possible Predictors: contract length, type of auction, number of different products/species, size of logger, etc.
Background Evaluation CriteriaProblem Description Data & MethodsProblem Statement Analysis ResultsAlternatives Conclusions
Analysis Results
Independent Variables
Coefficients P-values
Percent Bolts -1.143 .000
# species/products -10.578 .000
Medium Firm -46.177 .000
Small Firm -73.575 .000
Sealed Bid 63.873 .040
Over the counter sale -113.438 .049
Contract Length .416 .884
R2=0.161
n=555
Background Evaluation CriteriaProblem Description Data & MethodsProblem Statement Analysis ResultsAlternatives Conclusions
• Interview Results– Contract length was identified as a factor that may
contribute to higher stumpage bids.• Current sales are being reduced to three years.
• Not much resistance to reduced contract length.
– DNR is trying to increase sealed bid auctions.• Many loggers don’t like them because they “leave
money on the table.”
– Second price sealed bids have not been seriously considered.
• Potentially a good solution.
• Concerns about collusion.
Background Evaluation CriteriaProblem Description Data & MethodsProblem Statement Analysis ResultsAlternatives Conclusions
Analysis
Alternative
Criteria for Evaluation
Economic/ Effectiveness Equity
Social Acceptability
No Action - + +/-
Shorter Contract Length
-
no impact
+
no impact+
More Sealed Bid Sales
?
rational bids
-
high price+/-
2nd Price Sealed Bid
?
rational bids
+
low price+/-
Conclusions/Recommendation• There is no evidence that contract length
influences stumpage bidding.• Sealed bids may help produce more thoughtful,
rational bids, but many loggers do not like to leave money on the table and prices are higher.
• 2nd price sealed bids may be the best option because they can help reduce excessive bids without loggers worrying about leaving money on the table.– Political and social acceptability are still uncertain.
Background Evaluation CriteriaProblem Description Data & MethodsProblem Statement Analysis ResultsAlternatives Conclusions
Questions?
Photo: City Pages