Document

Long Run Timber Supply: Price
Elasticity, Inventory Elasticity, and
the Capital-Output Ratio
Binkley, C.S.
IIASA Working Paper
WP-85-010
February 1985
Binkley, C.S. (1985) Long Run Timber Supply: Price Elasticity, Inventory Elasticity, and the Capital-Output Ratio. IIASA
Working Paper. IIASA, Laxenburg, Austria, WP-85-010 Copyright © 1985 by the author(s). http://pure.iiasa.ac.at/2690/
Working Papers on work of the International Institute for Applied Systems Analysis receive only limited review. Views or
opinions expressed herein do not necessarily represent those of the Institute, its National Member Organizations, or other
organizations supporting the work. All rights reserved. Permission to make digital or hard copies of all or part of this work
for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial
advantage. All copies must bear this notice and the full citation on the first page. For other purposes, to republish, to post on
servers or to redistribute to lists, permission must be sought by contacting [email protected]
W O R K I N G PAPER
LONG KUN TMBER SUPPLY: PRICE W C l T Y .
INVENTORY ELATICITY. AND THE CAPITAL-OUTPUT
RATIO
Clark S. Binkley
February 1985
WP-85-10
International Institute
for Applied Systems Analysis
NOT FCR QUOTATION
WITHOLT PERMISSIOR'
OF THE AUTHOR
LONG RUN TIMBER SUPPLY: PRICE ELASTICITY,
INYENTORY ELATICITY, AND THE CAPITAL-OUTPUT
RATIO
Clark S . Binkley
February 1985
WP-85-10
Associate P r o f e s s o r of Forestry
School of F o r e s t r y and Environmental Studies
Yale University
205 P r o s p e c t S t r e e t
New Haven, CT 065U
USA
and
Research Scholar
IIASA
A-2361 Laxenburg
AUSTRIA
Working Papers are interim r e p o r t s on work of t h e International
Institute f o r Applied Systems Analysis and have received only limited review. Views o r opinions expressed herein do not necessarily r e p r e s e n t those of t h e Institute o r of i t s National Member
Organizations.
INTERNATIONAL INSTITUTE FOR APPLIED SYSTEMS ANALYSIS
2361 Laxenburg, Austria
FOREWORD
The objective of t h e Forest S e c t o r P r o j e c t at IIASA is t o study longterm development alternatives f o r t h e f o r e s t s e c t o r on a global basis. The
emphasis in t h e P r o j e c t i s on issues of major relevance t o industrial and
governmental policy makers in different regions of t h e world who a r e
responsible f o r f o r e s t policy, f o r e s t industrial s t r a t e g y , and r e l a t e d t r a d e
policies.
The key elements of s t r u c t u r a l change in t h e f o r e s t industry are
r e l a t e d t o a variety of issues concerning demand, supply, and international
t r a d e in wood products. Such issues include t h e growth of t h e global economy and population, development of new wood products and of substitute f o r
wood products, f u t u r e supply of roundwood and alternative fiber sources.
development of new technologies f o r f o r e s t r y and industry, pollution regulations, cost competitiveness, t a r i f f s and non-tariff t r a d e b a r r i e r s , etc.
The aim of t h e P r o j e c t i s t o analyze t h e consequence of f u t u r e expectations
and assumptions concerning such substantive issues.
This a r t i c l e r e p r e s e n t s a n equilibrium analysis of timber supply. Based
on a single model of timber production, t h e c h a r a c t e r i s t i c s of supply function have been studied in detail. Such an analysis provides foundations f o r
t h e P r o j e c t ' s e f f o r t s t o study long-term development of f o r e s t r e s o u r c e s in
market economies.
Markku Kallio
Leader
Forest S e c t o r P r o j e c t
ABSTRACT
Timber production r e q u i r e s substantially more capital p e r unit output
than d o most economic e n t e r p r i s e s . The quantity of capital deployed
depends primarily on t h e rotation length and t h e output p r i c e of stumpage.
In a long r u n timber supply model this gives r i s e t o a "backward bending"
supply curve. This p a p e r summarizes a long r u n model of timber supply, and
computes t h e associated p r i c e and inventory elasticities. The role of capit a l in timber production i s explored through a continuous time formulation
of t h e usual Faustmann point input/point output model. The t h e o r e t i c a l
r e s u l t s are illustrated through a n example based on loblolly pine yields.
CONTENTS
INTRODUCTION
1. LONG R U N S U P P L Y , P R I C E ELASTICITY AND MARKET INSTABILITY
Landowner Behavior
Timber Output
Long Run Supply
Market Instability
2.
INVENTORY ELASTICITY
3.
CAPITAL : OUTPUT RATIO
4.
AN EXAMPLE: S I 80 LOBLOLLY P I N E
5.
CONCLUSION
REFERENCES
- vii -
LONG RUN T m B E R SUPPLY: PRICE ELASTICITY.
lHVJ3NTORY ELATICITY. AND THE CAPITAL-OUTPUT
RATIO
Clark S. Binkley
INTRODUCTION
This p a p e r analyses t h e long r u n supply of timber, with p a r t i c u l a r
attention paid t o t h e r o l e of capital. The model is long r u n in t h e sense t h a t
t h e time period of t h e analysis is adequate f o r t h e capital stock t o adjust t o
t h e economically optimal steady state level. The period of time necessary
f o r this condition t o b e m e t depends on t h e initial a g e s t r u c t u r e of t h e
f o r e s t , t h e level of demand and t h e underlying biological productivity of t h e
f o r e s t ; i t might r a n g e from less than a decade t o more than a century.
This model of timber supply dates a t least t o Vaux's (1954) analysis of
timber production in California, and has been used many times since: f o r
t h e Douglas f i r region of t h e United S t a t e s by t h e USDA Forest S e r v i c e
(1963) and Hyde (1980). f o r pine in t h e southern US by Robinson (1980) and
f o r t h e spruce-fir r e s o u r c e in Maine by Binkley (1983). Jackson (1980) and
Hyde (1980) discuss some of t h e theoretical a s p e c t s of t h e model.
The p r e s e n t analysis i s both narrower and d e e p e r than t h e s e o t h e r
efforts. The rotation a g e is t h e only decision variable considered. To a
g r e a t extent, t h e rotation a g e determines t h e quantity of capital used in
timber production, s o a n analysis of capital logically focuses on t h i s variable. In addition, t h e rotation length is p e r h a p s t h e single most important
variable determining t h e level of output from a f o r e s t (Davis, 1976). This
analysis omits any formal discussion of management intensity o r t h e amount
of land devoted t o timber production, although t h e concluding section comments on how variables would influence the present r e s u l t s . Similarly t h e
nontimber products of t h e f o r e s t (recreation, water, environmental services) which may a f f e c t t h e optimal harvest period are excluded from
consideration (see Hartman, 1976 and Bowes, Krutilla, and Sherman, 1984
f o r discussions of how t h e presence of valuable nontimber forest products
affects t h e analysis). This narrow perspective i s adopted to focus on t h e
r o l e of capital in timber production, and i s consistent with, for example,
Samuelson's (1976) treatment of t h e problem.
The remainder of t h e p a p e r is in f o u r p a r t s and a concluding comment.
The f i r s t section details t h e long r u n supply model. This section shows t h a t
t h e p r i c e elasticity of supply may be negative, indicating a backward bending supply c u r v e f o r timber. Instability may a r i s e in t h e long r u n market
equilibrium because of t h i s unusual supply behavior.
Many s h o r t r u n models of timber supply use t h e level of timber invent o r y t o explain h a r v e s t levels. Section 2 below compares t h e inventory
elasticity implied by t h e long r u n model with t h e r e s u l t s f r o m t h e s e studies.
The f o u r t h section examines t h e capital/output r a t i o for t h e steady
state forest, and clarifies t h e importance of capital in timber production
The fifth section uses yield information for loblolly pine grown in t h e
southeastern United States to demonstrate t h e p r a c t i c a l significance of t h e
theoretical results.
1. LONG RUN SUPPLY. PRICE ELASTICITY AND
-T
INSTABILITY
The long r u n timber supply model h a s two p a r t s . The first describes
t h e rotation decisions of f o r e s t owners as a function of timber p r i c e and
o t h e r relevant parameters. This decision determines t h e level of timber
production. The second explains precisely how t h e amount of timber produced depends on t h e rotation a g e , and t h e r e f o r e on price.
Landowner Behavior
The f o r e s t owner selects t h e rotation a g e which maximizes t h e n e t
p r e s e n t value n of timber r e c e i p t summed o v e r a n infinite planning horizon.
Capital markets are p e r f e c t s o t h e f o r e s t owner can lend and borrow at a
constant, known i n t e r e s t rate i. (Equivalently, land markets perfectly
r e f l e c t t h e p r e s e n t value of partially grown stands). Timber yield v p e r
unit area is a known function of stand a g e t ; t h e yield function does not
change o v e r time. Regenerating a stand costs c p e r unit a r e a , a n amount
which i s constant through time. Lastly, t h e even-aged f o r e s t is r e g e n e r a t e d
promptly a f t e r clearcutting if i t i s profitable to do so.
These assumptions imply t h e rotation problem is stationary, so t h e
f o r e s t owner solves
max n ( t )
t
= --c + p v ( t ) e 4 : + n(t)e4:
1.1
The stumpage p r i c e p is endogenous. The optimal rotation a g e t*(p), and
t h e r e f o r e t h e level of output, v a r i e s with p r i c e level.
The f i r s t o r d e r optimality conditions f o r t* (p) can easily b e found (see
dn
Jackson, 1980; Hyde, 1980; o r Chang, 1983) by solving - = 0.
dt
where v
dv
=dt
Timber Output
Given t h e optimal rotation a g e , how much timber i s produced? In t h e
long r u n , capital can adjust to t h e economically desirable level. For timber
production t h i s implies t h a t t h e f o r e s t h a s no timber o l d e r than t* 0).and
e a c h y e a r all timber reaching t h i s a g e i s harvested. Averaged o v e r a rotation, t h e annual output of a f o r e s t of area A i s Av It* @ ) ] / t* @). Without
loss of generality this p a p e r t a k e s A = 1 , s o t h e supply function i s
A "fully regulated" f o r e s t produces identically t h e long r u n a v e r a g e
annual output e a c h y e a r . This i s achieved by a n arrangement of a g e classes
s o t h a t e a c h occupies a n area equal t o A / t* .
Before continuing, i t will b e helpful l a t e r in t h e analysis t o note t h a t
supply i s maximized at t h e rotation a g e which satisfies
Equation 1.4 i s simply a restatement of t h e f o r e s t e r ' s familiar maxim t h a t
a v e r a g e annual output i s maximized when c u r r e n t annual increment ( v )
equals mean annual increment (v / t ) . It i s natural t o call t h e rotation which
satisfies 1.4 t h e maximum sustained yield (MSY) rotation. For typical
timber yield functions, rotations are less than MSY if a n only if v / v > 1/ t .
Long Run Supply
The supply model is illustrated in Figure 1. The top panel depicts t h e
optimal rotation condition 1.2. The lower panel shows forest growth/steady
state supply, equation 1.3. Given all t h e p a r a m e t e r s of t h e model e x c e p t
p r i c e , t h e supply c u r v e i s defined by t h e following algorithm. For a given
p , 1.2 i s solved (upper panel of Figure 1) to find t h e optimal rotation age.
Long r u n supply then can b e found by 1.3 (the lower panel of Figure 1). The
p r o c e s s i s i t e r a t e d for various p r i c e levels until t h e supply c u r v e is identified with suitable precision.
The supply function c a n also b e developed in a n o t h e r way F i r s t solve
1.2 for p t o link p r i c e directly with t h e optimal rotation age
.
F'IGUm I. Optimal r o t a t i o n and t i m b e r s u p p l y .
Given a yield model v ( t ) , cost and i n t e r e s t rate, t h e supply c u r v e can b e
constructed by examining a s e r i e s of rotation ages. F o r each rotation a g e ,
1.5 gives t h e p r i c e which makes t h a t rotation optimal, and 1.3 gives t h e supply at t h a t p r i c e .
The p r o c e d u r e i s illustrated in Figure 2. The N W quadrant labelled
t* (p ) plots 1.5. The SW quadrant plots 1.3. The S E quadrant contains a 45"
t r a n s f e r line to map t h e a v e r a g e output from t h e SW quadrant onto t h e
quantity a x i s of t h e supply c u r v e , s (p), which i s shown in t h e N E quadrant.
Figure 2 shows t h e construction of t h e supply c u r v e for t h r e e import a n t cases. In case (a), t h e p r i c e i s s o low t h a t -rr = 0, and no long-run production t a k e s place. Case (b) o c c u r s at MSY. Binkley (1985) h a s shown t h a t
t h e MSY rotation o c c u r s at a p r i c e of
FIGURE 2 Long run timber supply.
Case (c) o c c u r s at t h e quantity asymptote of t h e supply curve. To see this
asymptote, refer t o 1.2. Note t h a t as p -, m, t h e r a t i o of c / p approaches
0. The left hand side of 1.2 approaches t; / v , and the supply c u r v e grows
increasingly inelastic at a p r i c e determined by t h e interest r a t e and t h e
biological productivity of t h e forest.
From Figure 2, i t is c l e a r t h a t t h e supply c u r v e can have a negative
slope. In general, what is t h e p r i c e elasticity of supply implied by this
model? By definition, t h e p r i c e elasticity is
Since
-6s- dt
7;t
-v
t2
, and
I t i s well known t h a t
dt
is negative, s o t h e sign of t h e long r u n supply
d~
-
elasticity depends on t h e sign of v / v
1/ t . If t h e p r i c e level is such t h a t
v / V <1/t , then t h e p r i c e elasticity of supply is positive. Recall t h a t this
condition obtains only if t h e optimal rotation a g e is g r e a t e r than t h e MSY
rotation. Consequently, only if t h e optimal rotation is longer than MSY will
t h e long r u n supply c u r v e have t h e usual positive slope. Otherwise, t h e supply c u r v e will have a negative slope. The "backward bending" supply
phenomenon h a s been noted by Clark (1976) f o r t h e case of fisheries, and in
passing by Hyde (1980) f o r t h e case of timber (although his empirical examples do not r e v e a l this situation).
Before turning t o questions of market equilibrium, note t h a t if p r i c e s
are s o low t h a t rr < 0 , no production at all will o c c u r in t h e long run. High
enough c o s t s on i n t e r e s t rates c a n clearly lead t o a situations where all
production o c c u r s on t h e negatively sloped p a r t of t h e supply curve. Thus,
unlike Clark's (1976) fisheries example, t h e e n t i r e long r u n timber supply
c u r v e might have a negative slope. This o c c u r s because inputs are
r e q u i r e d t o produce timber, where Clark (1976) t a k e s t h e fishery t o b e
wholly self reproducing.
ARarket Instability
For a n open access fishery, Clark (1976) points out t h a t t h e backward
bending supply c u r v e can lead t o unstable market equilibria. Figure 3
shows t h e situation f o r competitive timber supply with t h r e e levels of
demand. The lowest level of demand, D l , corresponds t o t h e usual s o r t of
market equilibrium, and t h e stability of E l depends on well-known elasticity
and adjustment conditions. A t a slightly higher level of demand, D2, t h r e e
market equilibria exist, and i t i s easy t o see t h a t E t t z i s unstable. S h o r t r u n
timber demand i s thought t o b e very inelastic. Long r u n demand i s likely t o
b e more elastic but if i t remains fairly inelastic, then t h e p r i c e level associated with t h e equilibrium point E"I2 could b e much higher than t h a t associated with EIz. The market instability implied by this analysis would t h e n
t r a n s l a t e into dramatic p r i c e instability. Finally, if t h e market equilibrium
settles at E t t t 2 ,t h e i n c r e a s e in demand from Dl t o Dz i s accompanied by a
d e c r e a s e in consumer's surplus.
FIGURE 5. Instability in long-run timber markets.
2.
INYENTORY ELASTICITY
In this supply model, timber supply i s implicitly a function of timber
inventory level. Many forest sector m o d e l s use t h e level of timber invent o r y as a determinant of timber supply behavior (e.g. Adams and Haynes,
1980; Binkley and Cardellichio, 1985). Consequently i t i s of some i n t e r e s t
to examine how supply responds to inventory level in this long r u n model.
The inventory of a unit a r e a , steady s t a t e forest is
This inventory can b e increased in t h r e e general ways. The f i r s t two cases
r e f l e c t exogenous changes in t h e inventory, where t h e t h i r d i n c o r p o r a t e s
endogenous inventory changes.
The f i r s t way t o alter t h e inventory adds to t h e f o r e s t a n o t h e r unit of
land which i s identical to t h a t already in production. Alternatively, t h e
yield function can b e increased by a constant fraction at all ages. In both
cases i t is obvious t h a t t h e inventory elasticity i s 1 because both supply
(1.3) and inventory (2.1) are augmented by precisely t h e same amount.
The t h i r d , more interesting, case alters t h e inventory endogenously by
i , c or p - s o t h a t t h e optimal rotation a g e
changing some p a r a m e t e r
changes. An "apparent" inventory elasticity of supply c a n b e calculated.
This elasticity i s termed a n "apparent elasticity" because both t h e change
in supply and t h e change in inventory are due t o t h e exogenous change in
some o t h e r model parameter.
-
By definition t h e inventory elasticity EI is
which can b e rewritten
From 2.1.
Substituting t h e value of
Because
ds
f r o m 1.8 and r e a r r a n g i n g gives
dt
> 0, v ( t ) t > Jv
( z ) d z f o r all values of t , and t h e numerator of
0
t h e second t e r m in 2.5 i s positive. Thus t h e sign of t h e a p p a r e n t inventory
elasticity depends on t h e sign of t h e t e r m in brackets. This t e r m i s positive
if t* < W ,z e r o if t* = UTY, and negative if t* > UTY. The a p p a r e n t
inventory elasticity i s positive for s h o r t rotation, falls to z e r o a t MSY and
then becomes negative.
A t any point along t h e long r u n supply c u r v e , t h e p r i c e and inventory
elasticities will have opposite signs (except at hEY where they are both
identically zero). Most supply studies t a k e both elasticities t o b e positive.
Timber supply studies which employ inventory as a n independent varia b l e generally use o n e of t w o a p p r o a c h e s t o estimate t h e requisite elasticity. First, because time s e r i e s d a t a on timber inventory levels are frequently p o o r (and inventory would probably change only gradually o v e r
time in any case), i t sometimes i s not possible to obtain usuable statistical
estimates f o r a n inventory term. In such cases t h e supply variable can b e
recaste as t h e r a t i o of h a r v e s t t o inventory, and t h e inventory variable
omitted from t h e independent variables. This specification implicitly cons t r a i n s t h e inventory elasticity t o b e unity. To see this, consider a supply
function specified as
where X is v e c t o r of nonprice independent variables thought t o a f f e c t supply. The inventory elasticity of supply in this model is
In some US regions, Adams and Haynes (1980) use t h i s specification f o r
softwood timber supply. The Data Resources, Inc. FORSIM softwood s e c t o r
model uses t h i s specification in all regions as does t h e model of t h e US
hardwood lumber s e c t o r developed by Binkley and Cardellichio (1985).
Using a unitary inventory elasticity is consistent with t h e f i r s t two kinds of
inventory elasticities discussed above.
For some regions, Adams and Haynes (1980) were able t o estimate softwood stumpage supply equations with inventory as a n independent variable.
For t h e regions where this w a s possible, they obtained estimates ranging
from 0.2 t o 1.46, with perponderance of values n e a r 0.5. A s shown in section 4, t h e s e r e s u l t s are not empirically inconsistent with t h e t h i r d case
examined if timber rotations are less than iUSY.
3.
CAPITAL : OUTPUT RATIO
Because of t h e long time period involved in f o r e s t production, capital
is a critical input. The capital stock required f o r a steady state f o r e s t can
b e measured in s e v e r a l ways, and t h e present analysis uses p e r h a p s t h e
most conservative definition.
This definition can b e aeveloped most easily using a continuous time
model of t h e timber production process. In each period t h e net income f o r
a unit of f o r e s t can b e decomposed into t h r e e p a r t s :
= gross income
zpv = opportunity cost of t h e growing stock
3.lb
r = land r e n t
3.lc
pt;
3.la
In this context, t h e n e t p r e s e n t value function can b e written as
t
t
n(2) = - c + ~ v ( z ) e 4 " d z - J i p ~ ( z ) e - ( ~ d z
0
0
t
- Jre4"dz
0
Before using t h e s e definitions t o derive t h e capita1:output ratio, l e t us
show t h a t 3.2 is equivalent t o 1.1. First, integrate t h e f i r s t integral in 3.2
by p a r t s
Now substitute 3.3 into 3.2 t o get
t
~ ( t =) - c
+pv(t)e"
+Jre4'dz
0
Efficient land markets imply t h a t r adjusts s o T = 0 (see Samuelson,
1976 on this point). Integrating t h e last t e r m of 3.4 and imposing this condition implies
The term on t h e left hand side of 3.5, r / t , is simply t h e capitalized value of
land r e n t s , and corresponds t o t h e economic r e n t w e seek t o maximize in
1.1. Thus 4.2 is precisely equivalent t o t h e original problem. Casting t h e
problem as a continuous input/continuous output problem gives precisely
t h e same r e s u l t s as t h e more conventional point input/point output formulation.
The continuous formulation i s useful because i t highlights t h e r o l e of
capital in timber production. In this context, 4.lb comprises t h e most limited definition of capital possible. That is, t r e a t regeneration costs as
"labor", and land r e n t a l costs "land" (although land has adequate durability
t o be viewed as a form of capital).
In t h e steady s t a t e f o r e s t t h e c u r r e n t annual value of t h e a v e r a g e capital deployed k is
Capitalized o v e r perpetuity at rate i , t h e capital deployed in a steady state
f o r e s t becomes
t
k
=
Jv (z )dz
0
By 1.3, t h e annual income from t h e f o r e s t is
The capital : output r a t i o k / y is then
t
Jv (2 )dz
3.7
Suppose t h a t t h e discount r a t e i increases.
How does t h e
capital/output r a t i o respond? The rotation will d e c r e a s e (see, f o r example, Chang, 1983), and by 2.4 t h e value of t h e capital embodied in t h e invent o r y of growing stock will decline. Output may increase o r d e c r e a s e with
t h e change in rotation, s o t h e direction of t h e change in k / y is ambiguous.
The loblolly pine example developed below shows t h a t f o r most rotations of
k
di n t e r e s t , -i s positive, s o increases in i n t e r e s t rates will lead t o reducdl
tion in t h e use of capital p e r unit output.
AN EXAMPLE: SI 80 LOBLOLLY PINE
While t h e foregoing theoretical analysis provides some definitive
r e s u l t s concerning t h e n a t u r e of t h e long run supply c u r v e f o r timber. t h e
practical importance of some of t h e theoretical concerns is not readily
apparent. To provide a modest d e g r e e of empirical insight into t h e n a t u r e
of this timber supply model, this section presents a n example using yield
information f o r SI 80 loblolly pine.
To ease t h e numerical burden of t h e example, t h e cubic f o o t / a c r e
yields given by Schumacher and Coile (1960) w e r e fit t o a two-parameter
yield equation
4.
The numbers in parentheses a r e t h e t -statistics f o r t h e null hypothesis t h a t
t h e associated coefficient is zero. For t h e purposes of this example, ordinary least squares regression produced an acceptable fit t o t h e yield table.
For this example, regeneration costs $50/acre and the i n t e r e s t rate
equais 0.025. Binkley (1985) has shown t h a t f o r t h e long r u n supply c u r v e
t o have any positively sloping portion, t h e i n t e r e s t rate must b e less than
t h e inverse of t h e MW rotation. Applying 1.4 t o 4.1 shows a MW rotation of
23.5 y e a r s , s o t h e i n t e r e s t r a t e must b e less than 1/23.5=0.043 t o show the
general case of where t h e supply curve has f i r s t a positive slope at low
p r i c e s then a negative slope at higher prices. A comparatively low r a t e of
i = 0.025 w a s taken in o r d e r to illustrate t h e general principles involved.
Indeed i t is of some i n t e r e s t t h a t more realistic i n t e r e s t rates would produce supply c u r v e s which a r e e i t h e r almost perfectly inelastic o r slope
backwards throughout t h e i r e n t i r e range.
Figure 4 shows t h e long r u n supply c u r v e f o r this situation. For r o t a tion a g e s ranging in 1 y e a r increments from 1t o 50, 1.5 w a s solved f o r t h e
p r i c e which makes t h a t rotation a g e optimal (for t < 19, t h e p ( t * ) < 0).
Supply a t each p r i c e w a s determined from 1.3. Figure 4 plots t h e r e s u l t s of
these calculations. The initial p a r t of t h e c u r v e slopes upward until t h e
p r i c e r i s e s t o t h e point t h a t h&SY i s reached. Under t h e assumptions of t h i s
example, Um o c c u r s at a p r i c e of 0.082/cf, o r about $6.40/cd. The c u r v e
is asymptotic at a quantity of about 103.5 cf/ac/yr, o r at a supply level
which is about 98%of t h e MW supply. For p < 0.0360, n < O and no long run
production occurs. This p r i c e corresponds t o a n optimal rotation a g e of 30
years.
102
103
104
105
103.5
FIGURE 4. Long-run supply, SI 00 Loblolly pine
106
MSY
S(P)
cf/a/yr
(c = $50/a, t = 0.025).
Figure 5 plots t h e p r i c e elasticity as a function of p r i c e level. This
c u r v e w a s derived numerically from 1.5 and 1.9. Nowhere i s t h e supply
c u r v e v e r y elastic. I t i s perfectly inelastic at MSY and again at t h e quantity
asymptote.
Figure 6 shows t h e "apparent" inventory elasticity as a function of t h e
rotation age. A t t h e quantity asymptote, t h e a p p a r e n t inventory elasticity
i s 2.88, falling t o 0.0 at Urn and t o -5.7 when timber production i s no
longer economic. The empirical r e s u l t s from t h e short-run timber supply
studies cited in section 2, above, fall close t o t h e p r e s e n t r e s u l t s n e a r Urn.
Finally, Figure 7 shows t h e capital : output r a t i o as a function of t h e
rotation age. A t Urn, t h e r a t i o i s about 1 0 and at t h e quantity asymptote
t h e r a t i o i s about 7. In 1980, t h e r a t i o of reproducible fixed assets to value
added for all US manufacturing industry w a s 0.34 (UN, 1981, Tables us 2.15
and us 4.3). Even using t h e p e r h a p s t h e m o s t r e s t r i c t e d definition of capital possible, timber production r e q u i r e s two o r d e r s of magnitude more capit a l p e r unit output t h a n does t h e US industrial s e c t o r t a k e s as a whole.
FIGURE 5. Long-run p r i o e e l a s t i o i t y , Loblolly pine (c = $50, .2 = 0.025).
FIGURE 6. Inventory eiasticitp, Lobioily pine (c = $50/a, i = 0.025).
Throughout the range shown in Figure 7,
i s positive.
dt
A s one would
expect, increases in capital costs will lead to fiss capital used p e r unit of
output. Until age 7 the converse is true, however.
0
10
i0
t
I
I
30
40
t
MSY
FIGURE 7. Capital : output ratio, SI 80 Loblolly pine (c = 150/a,
t = 0.025).
5.
CONCLUSION
C ~ p i t a lis a major component of f o r e s t production costs. By determin-
ing t h e amount of growing stock inventory, t h e rotation length largely
d e t e r n i n e s t'ne quantity of capital used in a timber ente-rprise. The rotation
a g e also strongly influences t h e a v e r a g e output f r o m t h e forest. High stun?page p r i c e s imply not only t h a t t h e output from t h e f o r e s t h a s a high value,
but also t h a t capital in t h e form of growing stock h a s a high opportunity
cost. A t high p r i c e s i t i s optimal t o conserve on t h e use of capital, and
t h e r e f o r e t o r e d u c e t h e growing stock inventory by reducing t h e rotation
age. This kind of capital conservation can also r e d u c e f o r e s t growth. In
t h e long r u n , timber supply can t h e r e f o r e fall as a consequence of higher
timber prices. Higher output p r i c e s inevitably mean higher capital costs,
and t h e timber supply c u r v e bends backward as a result of t h e necessity t o
r e d u c e t h e s e costs. Market instability may r e s u l t from this unusual cost
s t r u c t u r e f o r timber production.
These conclusions are of course s t r i c t l y correct only under t h e many
assumptions n e c e s s a r y f o r such concise and unambiguous results. Two
important market adjustments have been ignored in t h e analysis: changes in
management intensity and changes in t h e area of land devoted t o timber production. Both kinds of adjustments make timber supply m o r e elastic than
found h e r e , particularly at l o w p r i c e s where t h e r e i s much latitude f o r
intensifying silvicultural p r a c t i c e s o r f o r extending t h e intensive and
extensive margins of timber production. A s a f o r e s t sector develops, howe v e r , t h e opportunity f o r t h e s e adjustments will diminish, and capital will
tend t o dominate t h e timber production cost s t r u c t u r e . The s t r u c t u r a l
problems f o r t h e s e c t o r associated with inelastic o r backward bending supply will then a p p e a r .
REFEBENCES
Adams, D., and R. Haynes. 1980. The 1980 Softwood Timber Assessment
Market Mode!: S t r u c t u r e , Projections, and Policy Simulations. For.
Sci. Mono 22.
Binkley, C.S. 1983. Long Run Timber Supply f o r t h e Spruce-Fir Region of
Maine. P r e p a r e d f o r t h e James Sewall Co., Old Town, ME.
Binkley, C.S. and P.A. Cardellichio. 1985. The US Hardwood Assessment
Market Model. d r a f t ms.
Sowes, M.D., J.V. Krutilla, and P.B. Sherman. 1984. Forest Management f o r
Increased Timber and Water Yield. Water Resources Research 20:655663.
Chang, S.J . 1983. Rotation Age, Management Intensity and t h e Economic
Factors of Timber Production: Do Changes in Stumpage P r i c e , Interest
Rate, Regeneration Cost and Forest Taxation Matter. Forest Science
29:267-277.
Clark. C.W. 1976. Mathematical Bioeconomics. New York: John Wiley &
Sons.
Davis. K. 1974. Forest Management. New York: McGraw-Hill.
Hantman, R. 1976. Harvesting Decision When a Standing Forest Has Value.
Economic I n q u i r y 14:52-58.
Hyde, W.F. 1980. Timber S u p p l y , Land Allocation a n d Economic
c i e n c y . Baltimore: Johns Hogkins P r e s s .
Jackson, D.W. 1980. Microeconomics of t h e Timber I n d u s t r y .
Westview P r e s s .
m-
Boulder:
Robinson, V.S., A.A. Montogomery, and J.D. Strange. 1981. Economic
Growth Goal f o r Timber in t h e Southeast. For. R o d . J., 31:69-76.
Samuelson, P.A. 1976. Economics of Forestry in a n Evolving Society.
Economic I n q u i r y 14:466-492.
Schumachon, F.X. and T.S. Coile. 1960. G r o w t h a n d E e l d of N a t u r a l
S t a n d s of t h e S o u t h e r n P i n e s . Durham, NC: T.S. Coile. Inc.
United Nations. 1981. -81
York: UN Publications.
Yearbook of National Accounts, v. 11. N e w
USDA Forest Service. 1963. Timber Trends in Western Oregon and Western
Washington. Pac. N. W. Forest & Range Exp. S t a t . Res. Pap. PNW-5.
Vaux, H.J. 1954. Economics of Young-Growth S u g a r Pine Resources. Univ.
Calif./Berkeley, Div. of Ag. Sci. Bull. 78.