In modeling emissions, the literature has usually pursued two
approaches. One is to specify an explicit emission function, which
yields emissions as a by-product, depending on the level of the desired
output. The other is to specify a production function for (desired)
output in which emissions play the role of an input (or
"quasi-input"). While the emission function appears to be
quite straightforward and not to deserve much justification, treating
emissions as inputs is less self-evident. It is usually defended in a
heuristic way. For instance, a typical formulation states that the
treatment of emissions as production inputs "seems reasonable since
attempts ... to cut back on waste discharge will involve the diversion
of other inputs to abatement activities--thereby reducing the
availability of these other inputs for the production of goods.
Reductions in E [emissions], in short, result in reduced output"
(Cropper and Oates 1992, p. 678).
Recently, the materials balance has been invoked in the discussion
on the (proper) modeling of emissions. While early papers on the
materials balance have focused on linear frameworks with fixed
input-output coefficients (Ayres and Kneese 1969), the recent literature
investigated the role of the materials balance in nonlinear production
frameworks (Krysiak and Krysiak 2003; Baumgartner 2004; Pethig 2006). In
this view, production is essentially the transformation of materials
into desired outputs, using some nonmaterial inputs (capital, labor,
energy) as a second input type. Due to physical laws, this
transformation can never be complete: Some residual inadvertently arises
as a by-product, and material input, desirable output, and residual are
linked by the materials balance. In addition, the materials balance
implies that the marginal product of materials is bounded from above.
This article aims to shed some light on the validity of modeling
emissions via an emission function or as a production input, from the
point of view of the materials balance. It examines several alternative
representations of a given technology and shows that the technology can
equivalently be described by (i) a production function with material and
nonmaterial inputs and bounded marginal product of the material input,
(ii) a well-behaved production function with emissions as an input, and
(iii) a well-behaved emission function, if the materials balance is
accounted for as an additional condition.
Thus, three different ways of modeling emissions are (formally)
introduced and their relationship is clarified. It is proved that the
alternative representations of the technology are equivalent and it is
described how one can derive one from another. The contribution of this
article is to present a formal justification of what seems to exist as
inherited knowledge among environmental economists, but has never been
proven rigorously. Furthermore, the analysis brings out the significance
of the materials balance. The latter is an essential part of the
argumentation and constitutes the link between the different models.
The article is organized as follows. The first section introduces
the materials balance and derives some fundamental consequences given a
production function with material and nonmaterial inputs. The next
section investigates the alternative ways of modeling emissions and
shows that they are equivalent. In the last section, further
implications are derived, the relevance of our findings is discussed,
and the relationship to the literature is examined.
Basic Concepts and Relationships
At first, we discuss the materials balance and its implications.
The Meaning of the Materials Balance
Due to basic physical laws, every production process involves the
utilization of natural resources (materials). In the production process,
material inputs are transformed into some material outputs with
attributes possibly different from those of the inputs. These outputs
can be classified into desired outputs, which are the ultimate purpose
of production, and undesired outputs, which arise as a by-product or
residual. The First Law of Thermodynamics, that is, the Law of Mass
Conservation, implies the so-called materials balance principle,
according to which the mass of the material inputs equals the mass of
the desired and undesired outputs:
(1) M = Y + R,
where M = material input, Y = desired output, R = undesired output
(residual), all measured in units of mass.
The Second Law of Thermodynamics, that is, the Entropy Law, implies
that any incremental unit of material input can only incompletely be
transformed into the desired output or, in other words, that some
residual inevitably arises (Baumgartner et al. 2001):
(2) dR/dM > 0.
Two simple examples illustrate these properties of production (see
Anderson 1987). One is the making of potato chips, where the principal
material input is potatoes. The potato skins, which are not desired and
usually peeled off early in the production process, arise as an
inevitable by-product, and the potato mass included in the desired
output is less than the potato mass in the input. Similarly, in the
production of aluminum from bauxite ore, the ore is the material input
but only a fraction of it is actually usable in the production of
aluminum, and the aluminum output will be less than the input of ore. Of
course, one can conceive of production processes, which do not imply any
(significant amount of) residuals, like the making of confetti from
paper. We will neglect these cases and focus on processes that obey
condition (2).
In addition to material inputs, production processes involve
nonmaterial inputs, which are labor, capital, and energy. These serve to
actually perform the transformation process described above. As the
above examples suggest, it is reasonable to assume that as more
nonmaterial input is added, better utilization of a given amount of
material inputs is possible (e.g., by more precise peeling of the
potatoes). This implies that more desired output can be produced from a
given quantity of the material input (subject to the limits imposed by
(1) and (2)). Thus there exist nonlinear production processes, which
involve some substitution possibilities between material and nonmaterial
inputs. It is this type of process we are concerned with.
Implications of the Materials Balance
Given the considerations of the preceding subsection, we consider a
simple production process and assume that an output Y [greater than or
equal to] 0 is produced by means of two factors M [greater than or equal
to] 0 and N [greater than or equal to] 0, where M represents a material
and N a nonmaterial factor like labor, capital or energy. The technology
is described by a production function F, i.e.,
(3) Y = F(M, N).
F is supposed to possess the usual properties (see below).
This description is augmented by the materials balance (1)
introduced above which can be restated in the form R = M - Y, where R
[greater than or equal to] 0 represents a residual, an undesired output,
which has to be disposed in the environment. As above, it is assumed
that output Y, material M, and residual R are measured by mass.
Furthermore, it is assumed that the undesired output is strictly
increasing in the material input as stated in (2).
As a direct implication of this set-up, we get Y < M and
[F.sub.M](M, N) < 1 for M > 0, where [F.sub.M] denotes the partial
derivative of Y w. r. t. M (since M = F(M, N) + R). Thus, the imposition
of the materials balance restricts the class of feasible production
functions F. In particular, the Inada condition [lim.sub.M [right arrow]
0] [F.sub.M](M, N) = [infinity] is ruled out when the materials balance
is accounted for. As noted in earlier literature (Pethig 2003;
Baumgartner 2004), this makes popular functional forms like the
Cobb-Douglas function inapplicable. An additional straightforward
implication of the materials balance constraint is that the frequently
postulated property of weak disposability (see Shephard 1970) is not
admissible. Weak disposability means that the outputs Y and R can be
reduced proportionately at any given level of the inputs (M and N in our
case). This is obviously inconsistent with the system (1) and (2).
Modeling the Production Process
Several approaches to the modeling of production and emissions are
common in environmental economics. One is to treat emissions as a
by-product, whose quantity depends on the quantity of the desired
output. Another treats emissions as a production input. We now examine
whether and under what conditions these approaches are valid, given the
restrictions (1) and (2).
Taking into account the framework and results of the preceding
section, we suppose that F is defined on [R.sup.2.sub.+] and satisfies
Condition F
(4a) F is twice continuously differentiable on [R.sup.2.sub.+].
(4b) F(0, N) = 0.
(4c) For every Y > 0 there is (M, N) such that Y = F(M, N).
(4d) 0 < [F.sub.M] < 1 and 0 < [F.sub.N] for (M, N)
>> 0,
where the notation (M, N) > > 0
means that M > 0 and N > 0.
(4e) F is strictly concave in (M, N)
for (M, N) >> 0 (i.e. [F.sub.MM] < O,
[F.sub.NN] < 0 and [F.sub.MM] [F.sub.NN] - [F.sup.2.sub.MN]
[greater than or equal to] 0).
The production function is thus characterized by positive and
decreasing marginal products; the marginal product of material is
bounded, and F is strictly concave. Material is a necessary input for
production and the production function is not bounded. Differentiability
is a regularity condition simplifying the presentation. The undesired
output is determined by the materials balance R = M - Y = M - F(M, N).
Now the question arises whether R, the residual to be disposed in
the environment, can also be modeled as an input. Using the materials
balance, we obtain Y = F(Y + R, N) by replacing the variable M, i.e.,
output can be interpreted as an implicit function of R and N. Let us
call this function G. Then we get
(5) Y = G(R, N).
Using the properties of F, we can prove that G is defined on
[R.sup.2.sub.+] and has the usual properties of a production function
(all proofs have been relegated to an Appendix):
RESULT A: If, given the materials balance (1), F satisfies
Condition F, then a production function G (equation 5) exists and
satisfies Condition G,
which is given by
Condition G
(6a)
G is twice continuously differentiable on [R.sup.2.sub.+].
(6b) G(0, N) =0.
(6c) For every Y > 0 there is (R, N)
such that Y = G(R, N).
(6d) 0 < [G.sub.R] and 0 < [G.sub.N] for (R, N) >> 0.
(6e) G is strictly concave in (R, N)
for (R, N) >> 0.
Again, we have positive and decreasing marginal products and strict
concavity. Emissions R are a necessary input to production. In other
words, G is a production function and R can be interpreted as an input.
The material input is then determined by the materials balance M = Y + R
= G(R, N) + R. Thus, we obtain a formal justification of the view that
emissions can be modeled or interpreted as an input of the production
process. Two aspects need to be emphasized: First, the production
function G satisfies the standard properties of nonlinear production
functions. Especially, it can be of the Cobb-Douglas type (see below).
This fact is important compared to the first case in which the
production function F has to obey an additional, nonorthodox
restriction. Second, since the modeling is based on the materials
balance, another input, materials, is in the background which has to be
taken into account when describing the technology by means of the
function G. Consequences of these observations will be considered in the
"Discussion" section.
Since the marginal product of R is always strictly positive, we can
invert G for any fixed N and obtain an emission function
(7) R = H(Y, N).
R now depends on output Y and the nonmaterial factor. It is defined
on the domain D = {(Y, N) | Y [member of] y(N), N [member of]
[R.sub.+]}, where y(N) denotes the range of G for fixed N, i.e., y(N) =
{Y = G(R, N) | R [member of] [R.sub.+]}. The range y(N) can be a bounded
subset of [R.sub.+] since Y can be limited by N (e.g., in a chemical
production process the output Y can be limited by the reactor volume N).
We can establish:
RESULT B: If, given the materials balance (1), G satisfies
condition G, then an emission function H (equation 7) exists and
satisfies condition H,
which is given by
Condition H
(8a) H is twice continuously differentiable on D.
(8b) H(0, N) = 0. For every Y > 0 there is
N such that Y [member of] y(N).
(8c) For every Y > 0 there is N such that Y [member of] y(N).
(8d) 0 < [H.sub.y] and [H.sub.N] < 0 for (Y, N) >> 0.
(8e) H is strictly convex in (Y, N) for Y, N >> 0 (i.e.
[H.sub.YY] > 0, [H.sub.NN] > 0 and [H.sub.YY] [H.sub.NN] -
[H.sup.2.sub.YN] [greater than or equal to] 0).
In this case, emissions R increase in output Y and they increase at
an increasing rate. At the same time, emissions decrease in the
nonmaterial input N, and they decrease at a decreasing rate. Thus, H(Y,
N) is an emission and an abatement function simultaneously, where the
marginal abatement effect of N is decreasing. Intuitively, this reflects
the circumstance that in the function G(R, N), the input R can be
substituted by N, but only at a decreasing rate. The material input is
again determined by the materials balance M = Y + R = Y + H (Y, N).
Up to now, we have proved that the description of the technology by
means of (3) and the materials balance (1) also implies the
representations (5) and (7). It is not clear whether (5) or (7) also
imply the production function (3). Replacing R in (7) by means of the
materials balance one can demonstrate:
RESULT C: If, given the materials balance (1), the emission
function H satisfies Condition H, then a production function F (equation
3) exists and satisfies Condition F.
Thus, we obtain a "circle" and arrive again at the same
production function F we started from. The three representations of the
technology discussed here are equivalent.
Using the following terminology
Model F: Y = F(M, N), R = M - F(M, N), Condition F (equation 4),
Model G: Y = G(R, N), M = G(R, N) + R, Condition G (equation 6),
Model H: R = H(Y, N), M = Y + H(Y, N), Condition H (equation 8),
we can state:
THEOREM: Given the materials balance (1), environmental emissions
can be treated equivalently as a joint output of M in Model F, as an
input in Model G, and as a by-product of Y in Model H.
In other words, we have presented various descriptions of the
nonlinear production process and emissions. Furthermore, we have
demonstrated how to derive one from another. Since the representations
are equivalent, their information content is the same.
Discussion
In this section, we want to discuss the significance of the
framework presented above. We consider some implications and clarify the
relationship of our approach to the literature.
Consequences and Extension
Firstly, the imposition of the materials balance implies
restrictions on the functional form of feasible production functions
F(M, N). It is not an easy task to find such functions directly.
However, the results of the preceding section allow us to generate this
type of production function indirectly: Starting from a production
function G(R, N) with standard properties, we can try to recover F(M, N)
explicitly. The following example demonstrates this point:
Suppose that Y = G(R, N) = [R.sup.1/2][N.sup.1/2]. Inserting the
materials balance R = M - Y and solving for Y yields Y = F(M, N) = (MN +
[N.sup.2]/4).sup.1/2] - N/2.
This production function F(M, N) satisfies Condition F (equation
4). In particular, the marginal product [F.sub.M](M, N) is bounded by
unity (whereas [lim.sub.R [right arrow] 0][G.sub.R](R, N) = [infinity].
We can similarly derive the corresponding emission function R = H(Y, N)
= [Y.sup.2]/N. This example highlights, especially, that the
Cobb-Douglas form is admissible for G(R, N) but not for F( M, N).
Even if it is not possible to recover the function F explicitly,
using the function G(equations 6) and (1) assures that the basic
implications of the materials balance are respected. Thus treating
emissions as an input--as it is frequently done in the literature--is
not only an admissible, but also a convenient approach, as it avoids
finding appropriate functions F.
Secondly, our framework allows us to solve a problem, which is
often neglected: The literature in general employs the approach Y = G(R,
N) without referring to the materials balance. This formulation makes
sense when there is a strictly positive "price" [w.sub.R] of
emissions (e.g., a tax). But whenever [w.sub.R] = 0, it is optimal for a
firm to use an infinite quantity of R since its marginal product is
strictly positive by assumption (except in the case of fixed
coefficients, which we do not consider in this paper). Obviously, this
implication is unrealistic. In other words, in the usual framework, it
is impossible to explain the finite level of emissions in the
laissez-faire situation. This contradiction is solved if the materials
balance is imposed. Then the level of emissions R is bounded by the
quantity M and will therefore be finite if M has a positive price. More
specifically, the problem of profit maximization is well defined since R
is linked to M. For example, for Model G, we obtain the profit function
(9) [PI] = pY - ([w.sub.M] M + [w.sub.N] N + [w.sub.R]R) = pG(R, N)
- ([w.sub.M](G(R, N) + R) + [w.sub.N] N + [w.sub.R] R) = (p -
[w.sub.M])G(R, N) - ([w.sub.N]N + ([w.sub.M] + [w.sub.R])R)
where p denotes the price of Y and [w.sub.M] and [w.sub.N] are the
prices of M and N. Even if [w.sub.R] = 0, the accounting for the
materials balance implies that the firm has to "pay the price
[w.sub.M]" for R. We get an analogous result for Model H. Thus our
model is able to explain the finiteness of R.
Thirdly, our framework can be extended to the production of a
certain type of nonmaterial output, namely final energy. It is the type
of energy mentioned above as one of the nonmaterial inputs in the
production of desired material outputs. However, final energy (e.g.,
electricity) is itself in most cases the result of a transformation
process, namely the transformation of primary energy (e.g., coal). These
energy transformation processes obey, in addition to the materials
balance principle, the energy balance principle according to which the
primary energy input equals the final energy output plus the
transformation loss (all measured in energy units, e.g., Joules). By
redefining symbols appropriately (M = primary energy, Y = final energy,
R = transformation loss), the conditions (1) and (2) can hence
alternatively be interpreted as properties of processes that produce
final energy from primary energy (where Condition (1) in this case
stands for energy balance, rather than materials balance). These
processes, described by Y = F(M, N), also involve substitutability since
more final energy can be produced from a given amount of primary energy
by using more of the nonmaterial input (thus raising the transformation
efficiency). However, as in the case of material production, Y < M
and [F.sub.M] < 1 for M > 0.
To capture these restrictions implicitly, one can again use the
model Y = G(R, N), thus treating the transformation loss as an input in
a standard production function G. Such an approach has been proposed and
empirically applied by Welsch (1998) with respect to electricity
generation, using a Cobb-Douglas specification for G.
Contribution of the Paper
Finally, we want to relate our framework and findings to the
literature. There are few papers dealing with the implications of the
materials balance and the representation of the technology. Anderson
(1987) presents a model which takes into account material processing,
energy use and waste generation. But he considers emissions only as
output ([equivalent to] waste) and is primarily interested in the
implications of his model for the appropriate specification of
production functions. Krysiak and Krysiak (2003) analyze the integration
of conservation laws of mass and energy into the usual models of
production, consumption, and general equilibrium. Assuming that these
physical constraints are linear, they describe the implications, e.g.,
for the set of possible production plans. The basic idea of their
approach is to reduce the dimension of this production possibility set
by taking into account the linear constraints. They demonstrate the
consequences for the profit function by introducing "effective
prices" which reflect the constraints. Their approach is more
general than the present one, but they do not deal with alternative
possibilities of modeling emissions when the materials balance is taken
into account. Especially, they do not consider the problem of treating
emissions as an input. To the best of our knowledge Pethig (2006) is the
only paper addressing this issue. But his approach is different from
ours. He considers a complex production-cum-abatement technology and
examines the role of emissions in such a framework. This technology is
rather complicated (it is characterized by nine (!) conditions and
twelve inputs and outputs).
To sum up, our analysis is new and simple. It has clarified the
role of emissions in production processes. Whenever the materials
balance is accounted for the way emissions are modeled is a matter of
convenience: They can be treated as a joint output or an input, or can
be described by an emission function. These representations are
equivalent.
Appendix
(A1) F [??} G
We assume that Y = F(M, N) and M = Y + R, and that F satisfies
Condition F. Inserting the materials balance, we obtain Y = F(Y + R, N).
Since there is at least one solution (R, N, Y) and since 1 - [F.sub.M]
[not equal to] 0 for (R, N) >> 0, the Implicit Function theorem
(IFT) yields that there is a unique twice continuously differentiable
function Y = G(R, N) (cf. Berck and Sydsaeter 1993). It is defined on
[R.sup.2.sub.+] since N [member of] [R.sub.+] by assumption, R = 0 for M
= 0, and R = M - F(M, N) is convex and increasing in M. We get Y [member
of] [R.sub.+] and M [member of] [R.sub.+] since R = 0 implies M = 0 and
since M = G(R, N) + R [greater than or equal to] R. Applying the IFT
again and using the properties of F we obtain
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII].
Thus G satisfies condition G.
(A2) G [??] H
We assume that Y = G(R, N) and M = Y + R and that G satisfies
Condition G. Since [G.sub.R] [not equal to] 0 the IFT yields that there
is a unique twice continuously differentiable (inverse) function R =
H(Y, N). It is by assumption defined for all (Y, N) [member of] D = {(Y,
N) | Y [member of] y(N), N [member of] [R.sub.+]} where y(N) = {Y = G(R,
N) | R [member of] [R.sub.+]}. Monotonicity of G implies that
y([N.sub.1]) [subset] y([N.sub.2]) for [N.sub.1] < [N.sub.2].
Furthermore, [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] because
of (6c). For N = 0, we may have sup{Y ] Y [member of] y(N)} > 0 or =
0. In the latter case, only Y = 0 is admitted. By definition, we have R
[member of] [R.sub.+] and get M [member of] [R.sub.+] since M [greater
than or equal to] R. Applying the IFT again and using the properties of
G, we obtain
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII].
Thus, H satisfies Condition H.
(A3) H [??} F
We assume that R = H(Y, N) and M = Y + R and that H satisfies
Condition H. Inserting the materials balance, we obtain M - Y = H(Y, N).
Since there is at least one solution (M, N, Y) and 1/([H.sub.Y] + 1)
[not equal to] 0, the IFT yields that there is a unique twice
continuously differentiable function Y = [??}(M, N). It is defined on
[R.sup.2.sub.+] since M, N [member of] [R.sub.+] by assumption.
Similarly Y, R [member of] [R.sub.+]. Applying the IFT again and using
the properties of H, we obtain
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII].
Thus, [??] satisfies Condition F. Then [??](M, N)= F(M, N) since
otherwise we get a contradiction.
The authors thank Rudiger Pethig, an editor (Stephen Swallow) of
the Journal, and two anonymous referees for helpful comments.
[Received November 2005; accepted June 2006.]
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