Pollution control: Target(II) Flashcards
What are the majority of important pollution problems associated with? And why can policy makers not do anything about it?
Stock pollutants
While the damage is associated with the pollution stock, that stock is
outside the direct control of policy makers. At best environmental protection agencies are able to control the rate of emission flows.
Why should we think about stock pollutants intertemporal (across time)
Spoiler alert: An efficient pollution control program will need to take
account of the trajectory of emissions over time, rather than just at a
single point in time.
Because:
We now consider the case of stock pollutants that have a relatively
long active (i.e. damaging) lifespan but which are uniformly mixing.
Doing so has two implications.
– The uniformly mixing assumption implies that pollutant
concentrations will not differ from place to place, and so the spatial
dimension of emissions control is no longer of direct relevance.
– Persistence of pollution stocks over time means that the
temporal dimension is of central importance.
Outline the modelling of stock pollutants
Pollution targets model:
In this case the simplest possible model which deals with intertemporal choices
Damage at time t is determined by the contemporaneous stock size
or concentration of the pollutant in a relevant environmental
medium.
Gross benefits depend on the flow of emissions.
Hence our damage and (gross) benefit functions have the general
forms
Dt = D(At)
Bt = B(Mt)
Outline the stock-flow relationship, now with a decay coefficient
A_t+1 - A_t = M_t - alpha*A_t,
where alpha = 1 - a
The parameter alpha is a decay coefficient, and is a proportion that must lie in the interval zero to one.
What is a perfectly persistant pollutant?
A pollutant for which alpha = 0 exhibits no decay, and so the second
term on the right-hand side of the stock-flow relationship is zero. This is known as a perfectly persistant pollutant.
How can we represent the flow problem from last time?
Fully so for: alpha = 1 , equivalently a = 0 .
How can we represent the approximated stock problem from last time?
Approximately so for: Fixed M and low a.
What are the key differences between the flow and stock problems?
Whether damages come from M or A.
What is an imperfectly persistent pollutant?
More generally, we expect to find 0 < alpha < 1, and denote this as an
imperfectly persistent pollutant.
Here, the pollutant stock decays gradually over time, being converted into
relatively harmless elements or compounds.
– Greenhouse gases provide one example, but with slow or very slow
rates of decay.
What level of alpha, would make the pollutant a flow pollutant?
The second limiting case, where alpha = 1, implies instantaneous decay, and so the pollutant can be regarded as a flow rather than a stock pollutant.
Outline the stock pollutant with a constant rate of decay
Assume parameter alpha is constant; a constant proportion of the pollution stock decays over any given interval of time. (This may be invalid in practice!)
A_t = Sum a^(i)M_(t-1-i)
= Sum (1-alpha)^(i)M_(t-1-i)
The reason we use a sum, is because we are looking at the level of A_t in different time periods, intertemporal.
Thus, for a stock pollutant with a constant rate of decay,
the current pollution stock is af function of all past emissions,
with exponentially declining weights to emissions that
occurred further back in time.
Assume that policy maker aims to maximise discounted net benefits
over some suitable time horizon. What would they look to maximise?
See slide 16 for equation.
Using t = 0 to denote the current period of time, and defining the net
benefits of pollution as gross benefits minus damages (specified
respectively by equations 5.15 and 5.16) the policy maker’s objective is to
select Mt for t = 0 to t = ∞ to maximise.
They want to maximise the amount of flow pollution, the maximizes the benefits.
Which kind of analysis are we gonna use for finding efficient pollution targets and policies?
As time periods are linked together through a stock–flow relationship,
efficient pollution targets and policies must be derived from an intertemporal analysis.
A complete description of efficient stock pollution will, therefore,
consist not of a single number for, but a trajectory (or time path) of,
emission levels through time.
In general, this optimal trajectory will be one in which emission levels
vary throughout time.
The trajectory will often consist of two phases, before we get to an optimal level.
- One of these phases is a steady state in which emissions (and
concentration levels) remain constant indefinitely at some level. - The other is an adjustment phase; the trajectory describes a path by
which emissions (and concentrations) move from current levels to
their steady-state levels. This adjustment process may be quick, or it may take place over a long period of time.
How is the steady-state pollution level defined in chapter 5?
The pollution flow and the pollution stock are each at a constant level.
With an unchanging stock equation 5.17 simplifies to M = alphaA.
– Intuition: For a pollutant that accumulates over time, the pollution stock can only be constant if emission inflows to the stock (M) are equal to the amount of stock which decays each period (alphaA).
A = M / alpha
It then follows that in a steady state, the stock–flow relationship between A and M can be written as A = M/ alpha (5.19)
* In a steady state, if the level of alpha falls, the lager will the pollution stock become for any given level of emissions.