Market Dynamics in Timber Procurement 2007 TAPPI Engineering, Pulping & Environmental Conference

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Market Dynamics in Timber
Procurement
2007 TAPPI Engineering, Pulping & Environmental Conference
Authors: Kendra C. Taylor, Paul M. Griffin, and Joel S. Sokol
Presented by Kendra C. Taylor, Ph.D.
Senior Consultant
Booz Allen Hamilton
October 23, 2007
Agenda
 Procurement Process
 Overview of B2B Auction Environment
 Analysis
 Conclusions & Summary
1
Agenda
 Procurement Process
 Overview of B2B Auction Environment
 Analysis
 Conclusions & Summary
2
The focus of this work centers on the procurement transaction that
occurs between timber suppliers and mills in the Southeastern U.S.
Generic Pulp & Paper Supply Chain
Procurement
Suppliers of Wood Fiber
Mill (Convert to Pulp then Paper)
Distributor
Retailer
Consumer
3
Trends in timber procurement indicated changes in consumption
of timber by mills and in the processes and technology used
 Recycled fiber is replacing virgin wood fiber as an input for paper production
– Government mandates and environmental regulations (1990s)
Recycled paper use in US mills projected to grow from 25% in 1998 to 36% in
2040 while timber consumption decreases from 50% to 30%– (Skog et al., 1999 )
 Mills have begun to alter their production process & sell timberlands to private landowners
Become more dependent on suppliers for wood fiber
(Hillstrom, 1994)
 Mills slowly began adopting e-commerce in 1999
(Shaw, 1999 and Vlosky, 2001)
4
Mills were adopting e-commerce for timber procurement but less
than 50% of auctions attracted 1 or more timber companies to bid
 Goal of auctioneers: aggregate supply
 Out of 507 auctions, 58% did not attract 1 or
more bidders
Auction Participation on Timber
Exchange, 2004
42%
58%
Single Bidder
Multiple Bidders
 Internal and external factors may lead to
plausible explanations
Source: Company data of an anonymous timber exchange, 2004
5
This finding is interesting given the ratio of loggers to mills in the
Southeast was ample to serve as a base for auction bidders
 Context
– In the United States, private individuals and firms own roughly 71% of all timberlands with
the balance owned by the government or public agencies *
– Most timber purchased in the U.S. is purchased from thousands of private land owners
– Many landowners work with consultants to sell the rights to cut the timber on their land
– Timber companies add value to timber by logging it and delivering it to a pulp and paper mill
– There were roughly 92 mills operating and procuring timber in the Southeast and roughly
26,000 loggers working in the Southeast in 2004*
* See published manuscript for all sources
6
Additionally, timber companies can sell timber to pulp and paper
companies via long- or short-term (spot market) contracts
Participants in the Procurement Process
Land Owners
Sells timber via a sealed bid auction (aided by a consultant)
Timber Companies
Sells timber to pulp & paper mills via contracts/spot market transactions
Pulp & Paper Mills
(Buyers)
7
Agenda
 Procurement Process
 Overview of B2B Auction Environment
 Analysis
 Conclusions & Summary
8
A third-party online exchange for timber provided a platform for
business-to-business auctions
 Auction & Bid details
– Auctions typically lasted 1 week
– Each bid included a quantity & a price
– Each request for bids included the auction length, delivery location, bid increment,
description of the good, volume and reservation price
 Marketplace details
– The price paid for timber changes as new tracts of timber are logged (includes price of
timber, logging costs and hauling costs)
– High number of sellers relative to the number of buyers
9
Mills used reverse auctions to gain visibility into the available
supply of timber and to aggregate that supply
 Reverse Auction Design
– Auctions held at random times over 10 months
– The good up for auction was delivered timber
– Multiple winners (timber companies) possible
– Price-quantity bids: winners chosen based on price first
– Reservation price was set
10
Agenda
 Procurement Process
 Overview of B2B Auction Environment
 Analysis
 Conclusions & Summary
11
Factors internal and external to the auction details and design
potentially influenced the amount of timber supplied online
 Internal factors – includes activities in which a bidder/auctioneer may behave strategically
– Auction design
– Rules
– Outcomes
 External factors – affect the availability of the timber supply to the logging company
– Not easily accounted for in auction data
– Influenced by external market factors
12
Key measurable factors were selected for the regression analysis
 Internal Factors
 External Factors
– Demand*
– Supplier capacity
– Reservation price*
– Weather patterns*
– Pricing rule*
– Substitute market (e.g. recycled fiber)
– Type of Good*
– Competing products (e.g. satellite chip mills)
– No. of bidders*
– Favoritism/relationships
– Length of the auction*
– Little/no access to Internet
– Delivery location
– Long-term contracts
*Factors used in analysis
13
A preliminary review of the internal factors considered, indicated
that the description of the good might impact auction participation
 Custom goods included a ‘custom cut’ description in the product line
– Accounted for 62% of the auctions
– Accounted for 82% of auctions initiated that concluded with zero bidders
 Prices for custom goods were statistically different (higher) than standard prices
 Custom goods had a statistically different number of bidders (lower)
14
The external factor of wet and cold weather makes logging difficult
and dangerous causing adverse affects on timber availability
 Two measures of availability of supply
– Precipitation
– Keetch-Byrum Drought Index (KBDI)
Used by U.S. forest service to measure drought
Considers precipitation, temperature and evapotranspiration
 Both the expected and actual values of these two measures were considered to check whether
the prediction of weather or the actual weather was a stronger influence
15
Observations from KBDI climate divisions across the Southeast
and were matched to softwood timber production for input data
Softwood Timber Production, 2001
Climate Divisions Across Southeastern States
16
Regression analysis was used to determine that four factors were
most significant in influencing the volume of timber transacted
 Which internal factors most influence the
volume of timber transacted online?
– Number of bids
– Demand
– Description of good
– Reservation price
Variables
β
t-value
Constant
-784
-3.7***
Descrip
592.6
2.96***
ExpPrecip
105
0.86
ActPrecip
-205.9
-1.81*
ExpKBDI
171.2
1.59
Demand
0.13
3.97***
Res Price
13.32
3.13***
BidCat
391.5
2.07**
BidCat*Res Price
8.46
2.48***
ExpPrecip*Demand
-0.07
-1.86**
Exp*BidCat
254
2.06**
Demand*ExpKBDI
-0.12
-3.61***
Res Price*Descrp
-10.6
-2.99***
ActPrecp*Demand
0.12
3.22***
Demand*Descrp
-0.05
-2.19**
Demand*BidCat
0.22
11.19***
*** p<0.01, ** p<0.05, * p<0.10, Rsq=71.9
17
Agenda
 Procurement Process
 Overview of B2B Auction Environment
 Regression Analysis
 Conclusions & Summary
18
Conclusions
 Plausible explanation for low bidder participation: The online exchange appeared to be used
to check availability of custom cuts of timber and to transact standard timber
 Reservation price is correlated with description of good, but not with the # of bidders, supply
or demand
– Suppliers have no price incentive to withhold supply in favor of a better price –
Discriminatory auction
 Successful auctions occurred more often for standard goods although some commodity
goods such as plylogs were successful as well
19
Summary
 Contribution to empirical research with study of data from timber auctions between businesses
 Provide managers realistic description of past online auction performance
 Suggestions of data to capture for future studies that may indicate certain
behaviors/preferences of participants include:
– Number of invited bidders
– The tracts from which timber is logged
– Geographic location of mills may
 First study of timber auctions between logging companies and mills
 Determined factors that had significant affect on timber volume transacted online
 Found plausible explanation for low aggregation of timber supply
20
This research was made possible due to support from several
organizations and programs
 David and Lucile Packard Foundation
 FACES Fellowship Program
 SREB Doctoral Fellowship Program
 Center for Paper Business and Industry Studies
 ForestExpress
 International Paper
21
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