summing up1 econ 4910 spring 2007 environmental economics lecture 12 summing up lecturer: finn r....
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Summing up 1
ECON 4910 Spring 2007 Environmental Economics Lecture 12 Summing up Lecturer: Finn R. Førsund
Summing up 2
Content of course
Background Environmental policy International issues Dynamic issues Valuation
Summing up 3
Background
What is environmental economics? Building blocs:
Production of man-made goods and generation of pollutants
Production of environmental services Interaction economic activity and the environment Evaluation of man-made and environmental
goods
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Tools for dealing with the building blocks Production and generation of pollutants
Multi-output production theory Production of environmental services and
interaction pollutants – the environment Knowledge about natural environments and
effects of deposition of pollutants Evaluation of environmental goods
Externalities Public-good theory
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The basic social-choice model Social choice: how much environmental
protection, trade-off marketed goods – environmental services
Benefit to the production sector from pollution and damage of pollution to consumers
B = benefit, e = pollution, D = damage
( ), ' 0, '' 0
( ), ' 0, '' 0
B b e b b
D d e d d
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The basic social-choice model, cont. The social optimisation problem
Necessary first order condition
Second order sufficient condition
'( ) '( ) 0b e d e
( ) ( )PMax B D b e d e
''( ) ''( ) 0b e d e
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Illustration of the social solution
e
b’,d’
b’ d’
e*
b’* = d’*
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Explaining the benefit function and the purification function of the basic model Factorially determined multi-output
production in the production sector
Marketed output: y Pollutants: e Production inputs: x1 (K,L,E,M) Purification inputs: x2
1 2 1 2
1 2 1 2
( , ), 0, 0
( , ), 0, 0
y f x x f f
e h x x h h
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Factorially determined multi-output production, cont. Profit maximisation with environmental
constraint
Output price: p Input prices: q1, q2
Pollution constraint: eR
1 1 2 2
1 2 1 2
1 2
. .
( , ) , ( , )
( , ) R
Max py q x q x
s t
y f x x e h x x
h x x e
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Profit maximisation, cont. The Lagrangian
First-order conditions
Endogenous variables as function of exogenous variables
1 2 1 1 2 2
1 2
( , )
( ( , ) )RL pf x x q x q x
h x x e
1 1 1 2 2 21 2
0, 0L L
pf q h pf q hx x
1 1 1 2 2 2 1 2( , , , ), ( , , , )R Rx x p q q e x x p q q e
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The benefit function Environmental restriction is so lax that the
constraint is not binding e* < eR
No purification resources are used. x2 = 0
The profit function with binding environmental constraint
* *1 1 1 2 1( ,0) , 0 ( ,0)pf x q x e h x
2*
1 1 2 2 1 2 1 21
1 2
( ( , , , ), ( , , , )) ( , , , )
( , , , ) ( ) ,0
R R Ri i
i
R
pf x p q q e x p q q e q x p q q e
p q q e B e e e
Summing up 12
The damage function
Utility of environmental services as public goods
Man-made goods: xi
Environmental services: M Demand for the environmental services,
vertical summation
( , ) , 0, 0i i i iM iMU U x M U U
1
( , )N
iM ii
U x M
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The damage function
Willingness to pay Marshall demand functions
Indirect utility function in money
Max utility for given income, environmental services
1
( ; ) . .
( , , )
n
x i ii
i i
Max U x M s t p x y
x m p y M
1( ( , , ),.., ( , , ); ) ( , , )nU U m p y M m p y M M v p y M
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Willingness to pay, cont.
Hicks demand functions
Expenditure function
Min. expenditure for given income, environmental services E
1
. . ( ; )
( , , )
no
x i ii
oi i
Min p x s t U x M U
x h p U M
1
( , , ) ( , , )n
o oi i
i
E p h p U M E p U M
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Willingness to pay, cont.
Compensating surplus
Difference in expenditure keeping the old utility level Uo when the environment improves from Mo to M1
Question to the consumer: what are you willing to pay for an environmental improvement
1 1( , , ) ( , , ) 0,o o o oCS E p U M E p U M M M
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Willingness to pay, cont.
Using the indirect utility function
The consumer is willing to pay the compensating surplus and will remain on the old utility level
Equivalent surplus
Difference in expenditure keeping the new utility level when the environment improves
1( , , ) ( , , )o o ov p y M v p y CS M
1 1 1 1( , , ) ( , , ) 0,o oES E p U M E p U M M M
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Willingness to pay, cont.
Question to the consumer: what will you accept in payment for forgoing an environmental improvement
Using the indirect utility function
To accept the old environmental service the consumer must have a compensation giving him the same utility level as the improved environment would have given
1( , , ) ( , , )o o ov p y ES M v p y M
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Methods to find willingness to pay Revealed preferences
Utilising complementarity between environmental service and market goods
The travel cost method finding demand for visiting sites
Hedonic regressions; isolating environmental differences
Household production; household produce their own environmental services
Stated preferences Asking people; constructed markets and
contingent valuation
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Environmental policy Is public regulation necessary?
Property rights; the Coase theorem Market failure: public bads and externalities
Regulating policy instruments for pollution Command and control Economic incentives
Pigouvian fees, emission fees Marketable permits
Regulation with unknown control costs Unobserved emissions, audits
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The Coase theorem
e
b’,d’
b’ d’
e*
b’* = d’*
d(emin)=0 eπ
Property right polluterProperty right pollutee
Pollutee can payPolluter to cut back
Polluter can payPollutee to acceptmore pollution
Bargaining solution
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Unknown costs: The Weitzman rule
e
D’(e)-E{c’(e)}
e*
t*
-cH’
-cL’
eH(t*)eHeLeL(t*)
Social loss if Husing t*
Social loss if Lusing t*
Social loss using e* if L and if H
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International issues
Transboundary pollution Global warming Stratospheric ozone depletion Acid rain
Type of pollutants Uniformly distributed: deposition
Non-uniformly distributed: deposition Deposition depends on location
1
N
ii
e
1
N
i ii
a e
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Policy models for economic efficiency Minimising costs for given environmental
deposition targets The RAINS model
Future projection eio
Deposition target dj*
1
*
1
min
( ) . .
,
( ) , 1,..,
No
i i ii
N
ij i j ji
o oi i i i
Min c e e s t
a e b d
e e e e i N
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Policy models for economic efficiency, cont. Ideal Kyoto protocol
1
*
1
min
( ) . .
,
( ) , 1,..,
No
i i ii
N
ii
o oi i i i
Min c e e s t
e d
e e e e i N
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Tradable emission permits
Trade in permits can be used when The social solution is derived from setting
environmental standards because the damage function is not known
Damage function known, but certainty of achieving the desired pollution level is preferred
Trade in permits to a common trading price can only be socially optimal if the pollutant is uniformly dispersed
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Efficiency of tradable permits
e1*
-c1’
e1
-c2’
-c1’, -c2’
eR = a(e1o +e2
o)
e1o e2
o
e2
e2*
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Stock pollution
Damage from accumulated waste
Cannot achieve an interior steady-state solution without decay of accumulated pollution Decay:
Formulating a dynamic optimisation model for an infinite horizon and solving using optimal control theory. Steady state illustration by phase diagram
0
( ), 0t
t t t tD D e dt D
0 0
t t
t t te dt A e e dt