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ECON 4910 Environmental Economics
Summary of first five lectures
Private and public goods/bads
Two goods (or one good and one bad):
eg= ()yor yf= ()e
f ′ < 0if e is a good
f ′ > 0 if e is a bad
Two consumers:
yy=+y
12
ee=+eif e is a private good/bad
12
Preferences:
uy(,e)if eis a private good/bad
iii
uy,e if eis a public good/bad
()
ii
u >0 if eis a good
ie
u <0 if eis a bad
ie
Pareto efficiency:
e is a private good:
uu
12ee′
==−f
uu
12yy
e is a public good:
uu
12ee′
+=−f
uu
12yy
Competitive equilibrium gives Pareto efficiency when e is a private good/bad.
If e is a private good/bad and f ′′ < 0, any Pareto efficient outcome can be achieved
through a competitive market.
Public (non-rival) good may be excludable or non-excludable.
Markets may provide excludable public goods, but typically not in an efficient manner.
Pollution is a non-excludable bad, and cannot be handled efficiently by markets.
- 1 -
Money measure of environmental damage
De()
Define by
uy+=De,(e uy,0)
()
()
′ −ue
De()=>0
uy
′′
De()≥0 if preferences are convex (i.e. if u is a quasiconcave function)
Efficient negotiations and property rights
Income (producer): f (e)
Environmental cost (consumer): De( )
Social welfare: f eD− e
() ()
e∗maximizes social welfare, and is achieved through negotiations if no transaction costs
or other obstacles. Negotiated level of pollution independent of property rights, but
property rights matter for the distribution of net benefits between the producer and the
consumer. In reality several obstacles:
- transaction costs
- free riding
- unstable conditions
More on f e
()
f e = reduced form income function, defined by
()
f ()eF=−max (vq) vG(v)=e
v { }
where v is an input vector and q is the associated price vector.
0 00
Unconstrained maximization gives v and yf= e.
( )
Constrained maximization:
′
Fq−
′ kk
fe= (same for all k )
() ′
G
k
′ 0 ′
fe()=0 since Fq= at unconstrained optimum.
kk
Optimal pollution
De()=∑hD()e = aggregate environmental cost
h
Social welfare = f (eD) − (e) where ee=
∑i ii ∑i
Optimum (for interior solution):
∗∗∗
′′
′
== =
f ()ef... ()eD()e
11 nn
- 2 -
First n−1 equations are conditions for cost-effectiveness, which also may be defined by
f ef==max (e) ee
() { }
∑∑
ii i
ii
It follows from the first order conditions and the envelope theorem that
′ ′′
f (ef) ==(e) ... =f(e)
11 nn
Environmental regulation
Types of regulation:
(a) direct regulation of emissions
(b) emission tax
(c) tradable quotas
(d) subsidies to abatement
(e) direct regulation of the producers` input choices
(a) direct regulation of emissions
∗∗
ee,...,
- to achieve the regulator must know all functions f (e )
()
1 n ii
- optimal emissions will generally vary across firms, such regulation may be
considered unfair
(b) emission tax
Producer j:
gives f ′ et=
max f (et)− e ( )
jj j jj
′ ∗ ′ ∗ ∗ ′ ∗
so cost-effectiveness achieved, also f (eD) = (e)if (tD= e)
(c) tradable quotas
Producer j:
max f (eq)−−(ee) i.e. max f (eq)−+eqe
jj jj jj j j
gives f ′()eq= (where q is quota price)
jj
(d) abatement subsidy
Producer j:
0 0
max f (es)+−(ee)i.e. max f (es)−+ese
jj jj jj j j
gives f ′()es= (where s is subsidy rate)
jj
Note similarity with emission tax and in particular with free tradable quotas
(e) direct regulation of vj .
i
- income = f ()ef< ()e
j jjj
i
- f j not equalized across firms
Note: Incentives for new firms to enter market differ between the alternative regulations!
- 3 -
Complications:
- non-convex technologies
- asymmetric information
Non-convex technologies
Simple example:
Producer(s) can choose between y=f(e) with same properties as before or zero-emissions
0
technology giving income Y where f(0)
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