Lisø PhD Dissertation Manuscript - NTNU
Lisø PhD Dissertation Manuscript - NTNU
Lisø PhD Dissertation Manuscript - NTNU
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Building economics of climate change<br />
operating costs to vary between states. In the first-order<br />
conditions in Equations 6 and 7, a definition of a state-<br />
s dependent survival rate, , of the variable component is<br />
inserted: a s<br />
s<br />
z<br />
=<br />
z<br />
∂<br />
2<br />
1 .<br />
∂<br />
1 1 1<br />
2 2 1<br />
∂<br />
2 2<br />
( − ) ( )<br />
1 1 1<br />
2 2 1<br />
∂<br />
∂ ∂<br />
∂<br />
+<br />
−<br />
∂ ∂<br />
∂<br />
∂<br />
v c z<br />
∂<br />
z z m ∂ ∂<br />
d<br />
S<br />
s s<br />
s v c z s<br />
Âp<br />
a = 1 s s<br />
(6)<br />
z z m<br />
s=<br />
1<br />
( ) 1 s 1,2,3, ... 2 2 2<br />
∂<br />
− ,S<br />
2 2 2<br />
∂<br />
∂<br />
s s s<br />
v c ∂z<br />
= =<br />
s s<br />
(7)<br />
z ∂z<br />
∂m<br />
This gives S + 1 equations determining the S + 1 levels<br />
of effort.<br />
In each period 2 states, effort is simply chosen so that<br />
the marginal contribution to the net value of the services<br />
produced by the building of the last money unit spent<br />
on effort equals one. The period 1 condition has a similar<br />
interpretation. However, the return of effort made in<br />
period 1 is a probability weighted aggregate over periods<br />
and states, i.e. it is the expected marginal contribution.<br />
2 2<br />
∂<br />
By solving Equation 7 for ( − )<br />
2 2<br />
∂<br />
∂<br />
s s<br />
v c<br />
s s and inserting<br />
z ∂z<br />
into Equation 6, one gets another interpretation of how<br />
period 1 effort is chosen:<br />
1<br />
1 1 1<br />
∂<br />
1<br />
2 2<br />
( − ) 1<br />
1 1 1<br />
2<br />
∂<br />
1<br />
2<br />
∂<br />
∂z<br />
s<br />
S a<br />
v c ∂z<br />
s<br />
= −d<br />
∂m<br />
 p s<br />
(6’)<br />
z ∂z<br />
∂m<br />
s=<br />
∂z<br />
∂m<br />
1<br />
∂z<br />
s<br />
a 1<br />
∂m<br />
2s<br />
The expression ∂z<br />
is the ratio of the marginal tech-<br />
2<br />
∂m<br />
nical efficiency in producing z2 by the alternative factors<br />
m1 and m2 . Measured at the optimal values of (m1 , m2 )<br />
the ratio is state dependent. When the ratio is multiplied<br />
by the discounting factor it can be interpreted as an economic<br />
marginal efficiency, it captures both the technical<br />
efficiency and the fact that discounting makes the price<br />
of effort made early (in period 1) more expensive than<br />
effort made later (i.e. in period 2).<br />
Effort in period 1 is increasing in the expected<br />
economic efficiency of m1 in producing z2 . Hence, it is<br />
increasing in the expected survival rate of investments in<br />
z made in period 1 and in the discounting factor. This<br />
implies that period 1 effort is decreasing in the interest<br />
rate used in the discounting. Note that d2 = (1 + i) −1 ,<br />
where i is the relevant interest rate.<br />
The relation between first and second period effort at<br />
optimum depends strongly on the substitutability pattern<br />
between z1 and m2 in the gs-functions. Two stylized<br />
assumptions can be made:<br />
769<br />
(1) The ‘period 2-state s’ marginal product of effort<br />
(at optimum) depends on the levels z 2s , irrespective<br />
of the amount of effort undertaken in ‘state s<br />
of period 2’.<br />
(2) The ‘period 2-state s’ marginal product of effort<br />
(in optimum) depends on the amount of effort<br />
undertaken in ‘state s of period 2’, and not on<br />
how much of the factor z is brought forward<br />
from the first period.<br />
To see the substantial content of these technical<br />
assumptions consider one high and one low period 1<br />
level of z: (z 1L , z 1H ). These levels taken forward to any<br />
state in period 2 yield alternative starting values of z:<br />
(a s z 1L , a s z 1H ). By starting values it is simply meant the z 2s ,<br />
that will prevail for m 2s = 0.<br />
Define m 2# as the effort needed to increase the level of<br />
z 2s from a s z 1L to a s z 1H .<br />
z 2s = a s z 1H = g s (a s z 1L ,m 2# )<br />
Then consider a zˆ 2s > a s z 1H , and let m 2## be the effort<br />
needed to increase the level of z 2s from a s z 1H to zˆ 2s .<br />
Under assumption (1), the costs of increasing the<br />
level of z 2s from a s z 1L to zˆ 2s will be equal to the sum<br />
m 2# + m 2## . Hence, the marginal efficiency of m 2s is, at<br />
optimum, independent of the starting values.<br />
When the period 2 choice of effort is analysed and<br />
described, the distinction between (1) and (2) is not<br />
very interesting. Both of them produce a concave relation<br />
between effort and z 2s . The effect of period 1 effort<br />
on the period 2 choices does, however, differ strongly<br />
between these two cases. In case two, the effort made in<br />
period 1 does not only determine the amount of z that is<br />
brought forward from period 1 to period 2, but also the<br />
production technology of period 2. We proceed the<br />
paper using assumption (1).<br />
The optimal state of the building in each state in<br />
period 2 will, under assumption (1), be independent of<br />
the state of the building in period 1, and consequently of<br />
effort in period 1. The optimal state of the building in<br />
period 2, however, will affect the effort of period 1. The<br />
optimal effort in period 1 will exceed the effort made<br />
under a myopic optimization in period 1.<br />
Think of a regional-level climate change scenario with<br />
higher probabilities for states with a harsh climate. Furthermore,<br />
assume that the survival rate of z is lower<br />
under harsh climates. Then the expected technical and<br />
economic efficiency of period 1 effort (m 1 ) in producing<br />
z 2 will shift down as a response to climate uncertainty.<br />
Consequently, period 1 effort will be reduced as a result<br />
of (increased) uncertainty in the regional-level climate<br />
change scenarios.<br />
How can these algebraic exercises be used to define<br />
and say something about the building economics of