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Econ674 Economics of Natural Resources and the Environment Session 7 Exhaustible Resource Dynamic Optimization

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Page 1: Econ674Class7 - Montclair State Universitylebelp/007Econ674Class7.pdf · Beyond the use of mineral classification to determine whether a resource is renewable or exhaustible, we also

Econ674Economics of Natural Resources

and the Environment

Session 7Exhaustible ResourceDynamic Optimization

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An Introduction to Exhaustible Resource Pricing1. The distinction between nonrenewable and renewable resources can become blurred.2. Renewable resources can be nonrenewable3. Nonrenewable resources can, in a sense, be renewed through

- the discovery of new deposits- technical advances that make it economically feasible to recover a resource from low-grade

materials.4. We will follow the convention of classifying resources asnonrenewable or renewable depending on the significance oftheir rates of regeneration in an economic time scale. Thus,e.g., oil is nonrenewable and timber is renewable5. Are our nonrenewable resources being depletedrapidly/slowly?6. What is the optimal use of exhaustible resources?

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Beyond the use of mineral classification to determinewhether a resource is renewable or exhaustible, we also canview the question of time in terms of the earth’s energy flows,as shown below.

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With this perspective in mind, what steps are involved inanalyzing the optimal pricing of exhaustible resources?

A standard approach in such an inquiry is to 1. derive conditions characterizing socially efficient resource use, 2. then establish whether a competitive equilibrium realizes these conditions. 3. Examine the results in terms of whether market pricing achieves an optimal solution, and where market failure arises, devise suitable policy alternatives consistent with an given social welfare function.

Do theorems of welfare economics hold in the context ofnonrenewable resources? Imperfections can lead to aninefficient allocation.

Thus, even if a competitive equilibrium is efficient, we mustconsider the effects of relevant imperfections and marketfailures; - Monopoly - Environmental disruption in extracting, converting, and use - Uncertainty surrounding discovery and the long-lasting effects of current decisions about their use.

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The theory of optimal exhaustible resources contains two keyresults:

A) price = MC + opportunity cost. Why should opportunity cost be included? Nonrenewable resources are limited in quantity and are not reproducible. Thus, consumption today has a future opportunity cost that should be taken into consideration.

Accounting for the opportunity cost bears critically on how to allocate exhaustible resources over time, and it recalls the various positions regarding sustainability already discussed. One implication is that when opportunity cost is included, there will be less extraction of a resource today than if it were reproducible.

The relationship between Price and MarginalCost for an exhaustible resource

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Given the demand p = p(y), only y* will be extracted by aplanner or resource manager seeking to allocate productionefficiently over time, I.e. there will be a positive differencebetween price and marginal cost.

The difference between price and the marginal extraction cost(MEC) is known variously as the user cost, royalty, rent, netprice, or marginal profit. We will use rent, consistent with thetaxonomy of factor pricing.

B. The present value (PV) of the rent for an exhaustibleresource must be the same in all periods. Equivalently,undiscounted rent must increase at the prevailing rate ofinterest, or discount.

The net social benefit from extracting a unit of an exhaustible resource is the difference between the market price (or the willingness of consumers to pay) and the marginal extraction cost).

Efficiency Conditions under Pure Depletionfor a Competitive Industry

Following Hotelling (1931), under pure depletion,if R(t) represents remaining reserves, and q(t)represents production, then:

The price of the exhaustible resource, p(t) can berepresented as a function whose form is:

( ) ( ) ( )1EQtqtR !=&

( ) ( ) ( )20 EQteptp!=

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Efficiency Conditions under Pure Depletion for a Competitive Industry - 1Under competitive conditions, the rate of extraction at time t isdetermined by the following demand function:

Assuming no extraction costs, initial reserves will be exhaustedvia the following function:

At t=T, q(T)=0, we then have:

Equation 3-5 determines p(0), T, and the entire time-path ofextraction. As an example, assume that the demand functionD(A) is linear:

thus:

Under the last equation, with t=T and q(T)=0, we have

Thus:

( ) ( )( ) ( )3EQtpDtq =

( ) ( )40

EQRdttqT

=!

( ) ( )( ) ( )500 EQ== TepDTq!

( ) ( )( ) ( ) ( )6EQtbpatpDtq !==

( ) ( ) ( )70 EQtebpatq !

"=

( ) baep T/0

!"=

( ) ( )( ) ( )8EQTt

eatq!

!= "1

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Efficiency Conditions under Pure Depletion for a Competitive Industry - 2Exhaustion of initial reserves implies:

Integration yields:

Pure Depletion under MonopolyLet us now examine the behavior of a monopolist owner of anexhaustible resource. As in the competitive initial case, weassume zero marginal extraction costs. The monopolist’sobjective function can be expressed as:

Subject to:

Where p(q(t)) = the inverse of D(p(t)). The monopolist’sproblem can be formulated as an optimal control problem. Themonopolist’s current value Hamiltonian may be written as:

The first-order necessary conditions are:

!

a 1" e# t"T( )( ) 0

T

$ dt = R EQ 9( )

( ) ( )10EQRaeaTT =!!

!

"

" 11

( )( ) ( ) ( )0

maxmT tp q t q t e dt!" #= $ EQ 11

( ) ( ) ( )12EQRRtqR =!= 0&

( )( ) ( ) ( ) ( ) ( )31EQtqttqtqpH µ!=

( )( )

()( )

( ) ( ) ( ) ( )14EQtS.P0 ==>=!"

#"+=

"

"tMRt

tq

ptqp

tq

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Pure Depletion under Monopoly - 1

Equation 15 implies that i.e., the current valueshadow price (CV SP) rises at the rate of interest.

However, by equation 14, the CV SP is equated to marginalrevenue (MR) at each instant t. Thus the monopolist extractsthe resource so that the MR rather than the competitive rentrises at the rate of interest, i.e.:

If we assume a linear demand function, the inverse can beexpressed as:

and the monopolist’s MR function thus is defined as:

In terms of our Hamiltonian, we have:

i.e., q(Tm )=0 Evaluation equation 14 at t = Tm our inversedemand function implies:

( )( )

( )15EQ0=!

!"="

tR

Ht#µµ&

( )( ) ( )16EQtq

t

HR !=

"

"=

µ&

( ) !µµ =t/&

!

M ˙ R t( )MR

= " EQ 17( )

( ) ( ) ( )18EQbtqbatp // !=

!

MR = a /b " 2q t( ) /b EQ 19( )

( ) 0=mTH

( ) ( ) ( ) ( )20EQbaTbTqbaT mmm /// =!"= µµ

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Pure Depletion under Monopoly - 2

But and Thus from equation 20, which yields:

Equating equation 19 with equation 21 and solving for q(t)yields:

As before, the condition on total reserves gives:

Now we compare the exploitation profiles of the competitiveand monopolistic industries. If Tc denotes the competitiveexhaustion date, we obtain from equation 10 and equation 23:

and

Since these conditions are an increasing function of T, it followsthat: Tc < Tm Eq (24)

Equation 22 and 8 show that qc(0)>qm(0): Thus, competitiveindustries exploit the resource at a higher rate initially andexhaust it more rapidly than a monopolist.

( ) ( ) tet!µµ 0= ( ) ( ) mT

meT!µµ 0=

( ) bae mT /0!µ "=

( ) ( ) ( )21EQbaet mTt /!= "µ

( ) ( )( ) ( )22EQmTtea

tq!

!="

12

( ) ( )23EQReaTa

mT

m=!!

!"

"2/1

2

!

Tc" 1" e

"#T( ) /# = R /a

!

Tm" 1" e

"#Tm( ) /# = 2R /a

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An Example of Alternative Extraction Paths under Competition and MonopolyLet a = 100, b = 10, and R = 1,000 tons.The resulting values of T are: Tc = 18.41 years and Tm =29.48 years. The production rates qc(t) and qm(t) are shownin the following figure:

the corresponding price paths are:

Pc(t) = a - bqc(t)Pm(t) = a - bqm(t).

Pm(t) starts out higher than pc(t); they intersect at t. 13.1years and is below pc(t) until it reaches a choke-off price a/b=10 at Tm = 29.48.

Under these conditions, the monopolist appears as theconservationist’s friend (Solow, 1974). Initially, the monopolistrestricts production and stretches it out over a longer timehorizon.

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The monopolist’s motivation doesn’t derive from concern forfuture generations, but simply increases the PV by restrictingproduction early on.

The competitive extraction path is socially optimal, and themonopolistic path is dynamically inefficient in the sense that thecurrent generation could more than compensate futuregenerations for an increase in the near term extraction and areduction in future extraction.

To see how this result is obtained, assume that the socialwelfare from production q(t) is given by the area under theinverse demand curve given by:

so that the “social” manager would like to :

If we construct the current value Hamiltonian, get the first-orderconditions and solve, we observe that:

from equation 28, and

From equation 29.

The the welfare maximizing and competitive extraction pathsare identical.

( )( ) ( )( )

( )25EQ!=tq

dzzptqU0

( )( )

( )

( ) ( )26EQgiven0

subject to

max0

RR

tqR

dtetqUT t

=

!=

= "!

&

#

( )( ) ( )( ) ( ) ( )ttptqptqU µ==='

( ) ( ) !µµ == tppt // &&

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How reasonable is the assumption that the competitive pricegrows at the prevailing rate of interest? For this to be sorequires that the owner of the exhaustible resource:

-estimate the date of depletion and choke-off price accurately - must use the same discount rate

This seems to be an unreasonable assumption for extractiveindustries in that it requires perfect foresight. It thus ignores:

- price volatility and other forms of uncertainty - exploration, discovery, and technological change, whichsuggest the possibility of alternative price paths. Smoothexponentially increasing price paths have not in fact beenobserved in extractive industries such as mining.

In light of these considerations, let us now consider a fewmodifications to the basic Hotelling model:

Positive Extraction Costs for a Single Exhaustible ResourceSuppose the cost of mining depends only on the rate ofextraction,k ie. C(t) = C(q(t)) Eq. 31Assume further that p(t) is exogenous and known in advance.The owner of the resource then would:

The current value Hamiltonian can now be defined as:

with first-order necessary conditions that imply:

Convexity in C(.) implies that the first-order conditions also aresufficient. We thus assume C’(.)>0, and C”(.)>0.

( ) ( ) ( )( )[ ]

( )( ) ( ) ( )32EQ0given0

subject to

max0

!=

"=

"= #"

tRRR

tqR

dtetqCtqtpT t

&

$

( ) ( ) ( )( ) ( ) ( ) ( )33EQtqttqCtqtpH µ!!=

( ) ( )( ) ( ) ( ) ( ) ( )5 & 40' 3EQ3EQ tttqCtp !µµµ =="" &

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It now can be shown that:

which implies that the price net of marginal cost increases atthe prevailing rate of interest.

The corresponding condition for the monopolist’s price is

Equations 36 and 37 tell us about differences in extractiveresource owner problems such as how the time path ofextraction q(t) is determined.

Geometrically, assume a U-shaped cost curve. The resourceowner will never produce at a rate q with )<q<q*. At q*, MCequals AVC.

Unless the extraction shuts down temporarily, we have:

( ) ( )( )( )( ) ( )( )

( )36EQ!="

"

tqCtp

tqCtpdtd

'

'

() ()( )() ()

( )37EQ!="#"

"#"

''

''

CR

CRdt

d

!

q* " q t( ) for 0 " t " T EQ 38( )

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At time t = T, the extraction operation stops permanently and qdrops to zero. The transversality condition for a free-terminaltime problem implies:

From equation 33, we obtain:

While equation 34 implies that:

Hence:

so that: q(T) = q* EQ (42)

For a known T horizon, the problem is solved. As equation 40determines p(T) and by equation 35 we have:

By equation 34 we have:from which q(t) is determined for O < t < T.

T is determined from the condition that R(T) = 0 (Assumingthat p(t)>C(q”)/q* for all t, which implies that the stock of theresource will be exhausted eventually.

As an example, suppose price p(t) = p (constant), and assumethat C(q) = a + bq2. Then and equations 34-43imply the conditions:

( )39EQTtH == at 0

( ) ( )( )( )( )

( )40EQTq

TqCTpT !=µ

( ) ( ) ( )( )TqCTpT '!=µ

( )( )( )( )( )

( )41EQTq

TqCTqC ='

( ) ( ) ( ) ( )43EQTtTetTt

!!= "0µµ #

( )( ) ( ) ( )ttptqC µ!='

baq /*=

( ) ( ) ( ) ( ) ( )

( )( ) ( ) ( ) ( ) ( )( )[ ]

( ) ( ) Re

b

abp

b

pTtdtq

abpepb

tqtptbqtqC

TtTetabpqCpT

TT

Tt

Tt

=!!

!=

!!=!==

""=!=!=

!

!

!

# $

µ

µµµ

$

$

$

1

2

2

2

22

12'

02*'

0

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The last equation has a unique solution T>0, so that the problemis solved.

Now consider a discrete-time version of the exhaustibleresource owner problem. We can state the problem as:

For δ = 0.10 and T = 10, v10 = 580.2956. Since T assumesinteger values, there is no derivative condition for discrete-timeproblems.

To determine whether it is optimal to lengthen or shorten theextraction horizon one needs to: - increase or decrease the horizon, - solve the optimal production schedule (qt), - calculate the present value of net revenues, Vt, and compare the results.

Another look at the Competitive Extractive IndustryLet an extractive industry be comprised of N-price-takingowners. Let: -Ci (qi(t)) (I=1,2,…N(N)>1) = the cost of extraction for the ith firm - Ri, (I=1,2,…N (N)>1) = initial reserves, T - p(t) = the price, which is determined by aggregate production according to:

{ }[ ]

( )44EQ1000

subject to

/1max

0

1

1

0

=

!=!

!=

+

!

="

R

qRR

qRqV

ttt

T

t

tttt

qt

#

( ) ( ) ( )45EQ!!"

#$$%

&= '

=

N

i

i tqptp1

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Each firm attempts to maximize its profits given by:

subject to the reserves constraint:

From this we need to determine the price path, p = p(t): In thestatic theory of the firm, we can proceed on the basis of theassumption of competitive markets alone. In a dynamic setting,we must assume that the firm can correctly predict the entireprice profile p(t) over time. This assumption is known as rationalexpectations.

The ith firm’s PV (not CV) Hamiltonian can be defined as:

Hi=[p(t)qi(t)-Ci(qi(t))]e-δt –λi(t)qi(t) EQ (48)

with necessary conditions that imply:

and:

Thus a constant. The transversality condition Hi(T)=0implies:

But, evaluating EQ(49) at t = T also implies:

and thus, is the level of production where:

that is, where the AVC of the ith resource operation is minimized.

!

" = p t( )qi t( ) #Ci qi t( )( )[ ]e#$tdt0

Ti

% EQ 46( )

!

˙ R i = "qi t( ) Ri 0( ) = Ri Ri T( ) # 0 EQ 47( )

( ) ( )( ) ( ) ( )49EQt

iii ettqCtp!"=# '

!

˙ " i= #

$Hi

$R t( )= 0 EQ 50( )

( )ii

t !! =

( ) ( ) ( )( ) ( )[ ] ( )51EQiT

iiiiiii eTqTqCTpT!

"#

#= /

( ) ( )( )[ ] ( )52EQiTiiiii eTqCTp

!"

##= '

( ) *

iii qTq =

( )( ) ( )( ) ( ) ( )53EQiiiiii TqTqCTqC /' =

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Substituting EQ(53) into EQ(49) implies:

At this stage we have 2N+1 unknowns, T1,…,Tn, q1(t),… qN(t), andp(t) [λ1,…,λN can be determined from EQ(51)] and 2n+1 equationsconsisting of EQ(54) with q1(T1)=qi* plus EQ(45) and

The Social Optimum with N Firms

With No externalities, no stock “common pool” externalities, theperfectly competitive industry would be socially optimal in thesense of maximizing its discounted social welfare (DSW). This canbe verified more formally, as defined below:

The social welfare function can be defined as:

The corresponding Hamiltonian is given by:

Each , a constant (since δH/δRi=0) and we now have

where: thus

and,

If all N firms have identical reserves and costs, Ti = T and H(T) = 0

which implies:

( )( ) ( ) ( ) ( )( )[ ] ( ) ( )54EQiTtiiiiii eTqCTptptqC

!!!=

"''

( ) i

T

i Rdttqi

=!0

( ) ( )( )

( )

( ) ( ) ( )55EQ00

subject to

max0

11

!=

"=

#$

%&'

())*

+,,-

."))*

+,,-

.= / 00 "

==

tRRR

tqR

dtetqCtqU

iii

ii

T tN

i

ii

N

i

i

&

1

( ) ( )( ) ( ) ( ) ( )56EQ!!!=

"

==

"##$

%&&'

("##$

%&&'

(=

N

i

iit

N

i

ii

N

i

i tqtetqCtqUH111

)*

( )ii

t !! =

( )( ) ( )( )[ ] ( )57EQt

iii etqCtQU!" #

#= ''

( ) ( )! ==

N

t i tqtQ1 ii qQQUqU !!"!!=!! ///

( )( ) ( )( ) ( )tptQptQU =='

( ) ( )( ) ( )[ ] ( )58EQT

i eTqTqCTp!"" #

#== /

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and:If the N firms are not identical, it can be shown that:

The same system of equations is obtained as in the competitivemodel under the rational expectations assumption. Both lead tothe same solution.

Scarcity Defined in Economic TermsEconomics does not consider scarcity as a physical concept butas a value concept.

The rent for a non-renewable resource is given by the co-statevariable:

This reflects the difference between the price and the marginalextraction cost at instant t. In a competitive market, this is thedifference between what society would be willing to pay for anadditional unit of R(t) and the cost incurred in its extraction. If thisdifference:

- is positive and large, then the resource is scarce. - increases over time i.e., the resource is becoming more scarce - decreases over time i.e., the resource is becoming less scarce.

( ) **qqTq i ==

( ) ( )( ) ( )[ ] ( )59EQiTiiiii eTqTqCTp

!"

##= /

( ) ( ) ( ) ( )60EQttMCtpt !"=µ

)0( >µ&

)0( <µ&

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ExplorationExploration and discovery increase reserves, which may lowerextraction costs (e.g., C(q,R2)<c(q, R1); R1<R2). Thus, there areeconomic incentives to add to known reserves.

Following Pindyck (1978), we state the question of exploration as:

and:

where f(.) is a discovery rate as a function of: -w(t), the exploratory effort, and -X(t), the level of cumulative discoveries.Assuming that q(t) is a linear cost function, the total extractioncost per unit of time can be defined as:

C1(.) is a unit extraction cost function that is dependent onremaining reserves.Exploration costs are assumed to be a convex function given asC2(w(t))Thus, net revenue at instant t, given p(t), is the per unit price ofthe exhaustible resource:

Now assume a competitive extractive industry: a large andidentical number of firms. The individual firm takes p(t) asexogenous, and under rational expectations, attempts tomaximize the following function:

( ) ( )( ) ( ) ( )61EQtqtXtwfR != ,&

( ) ( )( ) ( )62EQtXtwfX ,=&

!

C1R t( )( )q t( ) EQ(63)

( ) ( ) ( )( ) ( ) ( )( ) ( )64EQtwCtqtRCtqtp21

!!

!

max p t( )q t( ) "C1

R t( )( )q t( ) "C2

w t( )( )( )0

T

# e"$t

dt EQ(65)

subject to ˙ R = f w t( ),X t( )( ) " q t( )

˙ X = f w t( ),X t( )( )R 0( ),X 0( ) given

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The problem has: - two state variables, R, X, and - two control variables q, w=>, and is more difficult than earlier problems

The current-value Hamiltonian is:

The first-order conditions include:

fx and fw are partials of f() with respect to X(t) and w(t). Taking thetime derivative of 67 impliesSubstituting this expression into EQ(69) yields:

Equation 68 may be solved for µ2(t) to get:

Taking the time derive of this expression yields:

Substituting the expression for µ2(t) into 70and noting from 68 thatWe obtain:

!

H = p t( )q t( ) "C1

R( )q t( ) "C2

w( ) + µ1[ f #( ) " q t( )]+ µ2f #( ) EQ 66( )

!

"H

"q t( )= p t( ) #C

1$( ) #µ1 t( ) = 0 EQ(67)

!

"H

"w t( )= #C'

2$( ) + µ1 t( ) + µ2 t( )( ) fw = 0 EQ(68)

!

˙ µ 1"#µ

1= "

$H

$R t( )= C'

1%( )q t( ) EQ(69)

!

˙ µ 2"#µ

2= "

$H

$X t( )= " µ

1t( ) + µ

2t( )( ) fx EQ(70)

( ) ( ) ()RCtpt &&& !"=11'µ

!

˙ p t( ) = " p t( ) #C1$( )( ) + C'

1$( ) f $( ) EQ 71( )

( ) () ( ) ()!+"!=122

/' CtpfCt wµ

!

˙ µ 2 = C' '2"( ) ˙ w / fw # fw,w

˙ w + fw,X˙ X ( )C'

2fw

#2# ˙ p + C'

1˙ R EQ 72( )

( ) ( )( )[ ]xftt2122

µµ!µµ +"=&

( ) ( )( ) () wfCtt /'221!=+ µµ

!

˙ µ 2

= " C'2#( ) / fw $ p t( ) + C

1#( )( ) $C'

2#( ) fx / fw EQ 73( )

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Equating 72 and 73 and solving for the rate of change in w yields:

By substituting 3.70 for the rate of change in p and simplifying:

Equations 61, 62, 71, and 74 are a four-equation dynamical systemfor the five unknown functions R(t), X(t), w(t), p(t), and q(t). The latterfunction may be eliminated by the demand equation:

q(t) = D(p(t))

The terminal conditions for the rates of change in p and w depend on

This expression defines the ratio of the marginal cost of explorationto the marginal product of exploratory effort, and is referred to as the“marginal discovery cost”.If C2’(O)/fw(0,X)=0, then w(T+ q(T) = 0 simultaneously at t = T. Itwill also be the case that : andThis means that no additional profit can be obtained from furtherextraction.If then exploratory effort will become 0 beforeextraction, I.e., there will exist an interval T1<t<T where w(t) = 0, butq(t) >0.At t = T, and with w(t) = 0, Then for all t in T,

This implies and that at t approaches T.thus for all t in T, both p(t) - C1() and c’1(.)q(t) remain constant,implying p(t), C1(), and c1’() rise as q(t) falls.

!

˙ w = fw,X˙ X

C'2

fw

2+ ˙ p "C'

1˙ R + #

C'2$( )

fw

"#p t( ) + #C1$( ) "C'

2$( )

fx

fw

% & '

( ) *

fw

2

fwC' '2$( ) " fw,wC'

2

+

, -

.

/ 0 EQ 74( )

!

˙ w =fw,X / fw( ) f "( ) + # $ fx[ ]C'

2+C'

1"( )q t( ) fw

C' '2"( ) $ fw,wC'

2/ fw( )

%

& ' '

(

) * *

EQ 75( )

!

C'2

/ fw as t => T.

( ) 02

=Tµ ( ) ( ) ( )( ) 011

=!= TRCTpTµ

( ) ( ) 0,0/0'2 >=!XfC w

0)( 12 =Tµ 02=µ&

( ) () !µ =="#11

Ctp

01=µ& () ( ) !" #$% /'

1tqC

Page 23: Econ674Class7 - Montclair State Universitylebelp/007Econ674Class7.pdf · Beyond the use of mineral classification to determine whether a resource is renewable or exhaustible, we also

The last unit of reserves should be discovered when its MC ofdiscovery equals the sum of the net revenue obtained uponextraction, and sale, and the value of cost savings after discovery,but before extraction. This sum is the PV of net revenue of themarginal discovery.

The system leads to several dynamic possibilities.

In graphical terms, we may portray the dynamic effects in terms ofthe following graphs shown below:

!

˙ R , ˙ X , ˙ p , and ˙ w

Page 24: Econ674Class7 - Montclair State Universitylebelp/007Econ674Class7.pdf · Beyond the use of mineral classification to determine whether a resource is renewable or exhaustible, we also

Using Discrete-Time Models to Solvefor the Optimal Rate of Extraction of an

Exhaustible Resource

Page 25: Econ674Class7 - Montclair State Universitylebelp/007Econ674Class7.pdf · Beyond the use of mineral classification to determine whether a resource is renewable or exhaustible, we also

Using Discrete-Time Models to Solvefor the Optimal Rate of Extraction of an

Exhaustible Resource - 1

Page 26: Econ674Class7 - Montclair State Universitylebelp/007Econ674Class7.pdf · Beyond the use of mineral classification to determine whether a resource is renewable or exhaustible, we also

Using Discrete-Time Models to Solvefor the Optimal Rate of Extraction of an

Exhaustible Resource - 2

Page 27: Econ674Class7 - Montclair State Universitylebelp/007Econ674Class7.pdf · Beyond the use of mineral classification to determine whether a resource is renewable or exhaustible, we also

Using Discrete-Time Models to Solvefor the Optimal Rate of Extraction of an

Exhaustible Resource - 3

Page 28: Econ674Class7 - Montclair State Universitylebelp/007Econ674Class7.pdf · Beyond the use of mineral classification to determine whether a resource is renewable or exhaustible, we also

Using Discrete-Time Models to Solve for the Optimal Rate ofExtraction of an Exhaustible Resource - 4