Acta Universitatis Danubius. Œconomica, Vol 10, No 4 (2014)
A Rational Production Function
Cătălin Angelo Ioan1, Alin Cristian Ioan2
Abstract: The article deals with a rational production function of two factors with constant scale return. It was determined the compatibility conditions with the axioms of production function resulting inequality of a single variable.
Keywords: production function; marginal productivity; average productivity
JEL Classification: C80
1. Introduction
In what follows we shall presume there is a certain number of resources, supposedly indivisible needed for the proper functioning of the production process.
We define on R2 – the production space for two resources: K – capital and L - labor as SP=(K,L)K,L0 where xSP, x=(K,L) is an ordered set of resources and we restrict the production area to a subset DpSP called domain of production.
It is called production function an application Q:DpR+, (K,L)Q(K,L)R+ (K,L)Dp.
For an efficient and complex mathematical analysis of a production function, we impose a number of axioms both its definition and its scope.
The domain of production is convex;
Q(0,0)=0 (if it is defined on (0,0));
The production function is of class C2 on Dp that is it admits partial derivatives of order 2 and they are continuous;
The production function is monotonically increasing in each variable;
The production function is quasiconcave that is: Q(x+(1-)y)min(Q(x),Q(y)) [0,1] x,yRp.
From a geometric point of view, a quasiconcave function having the property of being above the lowest value recorded at the end of a certain segment. The property is equivalent to the convexity of the set Q-1[a,) aR, where Q-1[a,)= {xRpQ(x)a}.
2. The Main Indicators of Production Functions
Consider now a production function: Q:DpR+, (K,L)Q(K,L)R+ (K,L)Dp.
We
call marginal
productivity
relative to an input xi:
=
and represents the trend of variation of production to the variation
of xi.
We
call average
productivity
relative to an input xi:
=
the value of production at a consumption of a unit of factor xi.
We
call partial
marginal
substitution rate
of factors i and j the opposite change in the amount of factor j as a
substitute for the amount of change in the factor i in the case of a
constant level of production and we have: RMS(i,j)=
.
We
call elasticity
of output
with respect to an input xi:
=
=
and represents the relative variation of production to the relative
variation of the factor xi.
Considering
now a production function Q:DpR+
with constant return to scale that is Q(K,L)=
Q(K,L),
let note =
.
It is called the elasticity
of the marginal rate of technical substitution
=
.
3. A Rational Production Function
Consider now a production function Q:DpR2R+, (K,L)Q(K,L)R+ (K,L)Dp with constant return to scale:
K,L0
where P and R are homogenous polynomials in K and L, deg P=n, deg R=n-1, n2.
Because the function is elementary follows that it is of class C on the definition domain.
Let
note also:
.
In what follows we put the question of determining the conditions so that the axioms 4 and 5 to be verified.
We now have:
,
Because of homogeneity, we have:
that is:
Note
now: =
,
=
,
=
,
=
.
We have:
After many computations, we obtain:
=
=
=
=
The
conditions that:
0,
0
become:
Considering now the bordered Hessian matrix:
=
and the minors:
=
=
=
=
=
=
it
is known that if
<0,
>0
the function is quasiconcave. Conversely, if the function is
quasiconcave then:
0,
0.
Therefore, a sufficient condition for the validity of axiom 5 is:
From these two sets of conditions we obtain finally:
or, more simple (taking inot account that Q,K,L0):
Theorem 1
A function Q:DpR2R+, (K,L)Q(K,L)R+ (K,L)Dp with constant return to scale:
K,L0
is a production function if:
where:
=
,
=
,
=
,
=
.
Because P and R are homogenous, we have:
,
with
the obviously notations:
,
.
If
we
have:
=
=
Analogously:
=
,
=
We obtain therefore that the conditions of the above theorem become:
If
we note for simplify:
we finally have:
Because
we easily see that:
=
=
,
=
=
therefore:
Theorem 2
A function Q:DpR2R+, (K,L)Q(K,L)R+ (K,L)Dp with constant return to scale:
K,L0
is a production function if:
where
and
,
are the average productivity relative to L and K respectively.
Because
P(K,L)=
,
R(K,L)=
we find that:
=
=
,
=
=
,
=
=
,
=
=
=
=
=
=
The main indicators for this function are:
the
marginal productivity relative to L:
=
=
the
marginal productivity relative to K:
=
=
the
average productivity relative to L:
=
=
the
average productivity relative to K:
=
=
the
partial marginal substitution rate of factors K and L: RMS(K,L)=
=
the
elasticity of output with respect to K:
=
=
the
elasticity of output with respect to L:
=
=
the
elasticity of the marginal rate of technical substitution =
=
4. Example
Let now, the function of production: Q:DpR2R+, (K,L)Q(K,L)R+ (K,L)Dp with constant return to scale:
K,L,
K
We
have:
=
,
=
=
,
=
=
,
=
,
=
,
=
.
The conditions from the theorem 2 become:
which are equivalent with:
that
is, with
0:
or
.
The graph of the production function is:
Figure 1
5. Conclusions
Rational
production functions may occur in the process of determining specific
method of least squares (leading to relatively simple systems solved)
based on concrete data. Conditions compatibility axioms production
function were simplified by using the factor
,
generating inequalities of a single variable.
6. References
Arrow, K.J. & Enthoven, A.C. (1961). Quasi-Concave Programming. Econometrica, vol.29, no.4, pp. 779-800.
Chiang, A.C. (1984). Fundamental Methods of Mathematical Economics. McGraw-Hill Inc.
Harrison, M. & Waldron, P. (2011). Mathematics for Economics and Finance, Routledge.
Ioan, C.A. & Ioan G. (2011). n-Microeconomics. Galati: Zigotto.
Pogany, P. (1999). An Overview of Quasiconcavity and its Applications in Economics. Office of Economics, U.S. International Trade Commission.
Simon, C.P. & Blume, L.E. (2010). Mathematics for Economists. W.W.Norton & Company.
Stancu, S. (2006). Microeconomics. Bucharest: Economica.
1 Associate Professor, PhD, Danubius University of Galati, Faculty of Economic Sciences, Romania. Address: 3 Galati Blvd, Galati, Romania, Tel.: +40372 361 102, Fax: +40372 361 290. Corresponding author: catalin_angelo_ioan@univ-danubius.ro.
2 University of Bucharest, Faculty of Mathematics and Computer Science, Address: 4-12 Regina Elisabeta Blvd, Bucharest 030018, Romania,. E-mail: alincristianioan@yahoo.com.
AUDŒ, Vol. 10, no. 4, pp. 197-207
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