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Averch-Johnson Rate of Return Regulation
The Averch-Johnson effect of overcapitalization under rate of return (ROR) regulation can be shown using a mathematical model. This presentation follows Takayama (1969). A monopoly's production function is

Equation 1
Q = f(L,K),

where Q is output, L is units of labor, and K is capital stock. Its profit is

Equation 2
= p(Q)Q - wL - uK = R(L,K) - wL -uK,

where p(Q) is the inverse demand curve, w is the wage rate, u is the user cost of capital, and R(L,K) is the revenue function R(L,K) = p(f(L,K))f(L,K).

Suppose the board decides the fair rate of return is v, so that, using Equation 2,

Equation 3


------
pkK
= R(L,K) - wL - uK
------------------------
pkK
v.

We can rewrite this constraint as,

Equation 4

R(L,K) - wL
-----------------
pkK
v + u
-----
pk
s.

That is, this type of regulation requires that revenues left over after covering labor expenses per unit of capital cannot exceed s, where s is the cost of capital divided by pk plus the fair rate of return. If v were less than 0, then the firm would not produce. We assume in the following that v > 0, so that s > u/pk. [It is not necessary for v to be positive. If v = 0, = 0 and the firm covers costs because the user cost already incorporates a normal rate of return to capital. If v = 0, this solution resembles that of Ramsey pricing in which price equals average cost.]

The regulated firm's objective is to maximize profits, Equation 2, subject to the rate of return restriction implied by Equation 4. The firm's optimal behavior is determined by finding the saddlepoint of the Lagrangian

Equation 5
R(L,K) - wL - uK - [R(L,K) - wL - spkK],

where is the Lagrangian multiplier, and the term in brackets is obtained by multiplying Equation 4 through by pkK and rearranging terms.

If the L and K at the saddlepoint of Equation 5 are positive, and the constraint binds, then the Kuhn-Tucker-Lagrange conditions,

Equation 6
RL = w,

Equation 7
RK = u - ((spk - u)/(1 - )),

Equation 8
R - wL - spkK = 0,

Equation 9
> 0,

determine the values of L, K, and . Equation 6 says that the value of the marginal revenue product of labor equals the wage. Equation 7 equates the value of the marginal revenue product of capital to the cost of capital plus an adjustment factor that depends on the fair rate of return (v = s - u/pk) and the Lagrangian multiplier. Equation 8 is the rewritten constraint, Equation 4.

If the constraint does not bind ( = 0), Equations 6 and 7 are the usual profit-maximizing equations of the unregulated monopoly:

Equation 6'
RL = w

Equation 7'
RK = u.

That is, the value of the marginal revenue product of labor equals the wage, and the value of the marginal revenue product of capital equals the per-unit user cost of capital. The nonconstrained ROR, then, is

Equation 10

s0 = R0 - wL0
--------------
K0
.

For the ROR constraint to matter, s0 must exceed s, which, by assumption, exceeds u/pk.

Takayama (1969) shows that L and K are continuous functions of s. Differentiating Equation 8 with respect to s, we obtain

Equation 11

dL
---
ds
(RL - w) + dK
---
ds
(RK - spk) = pkK.

Evaluating at s = s0 (the unconstrained, profit-maximizing rate of return) and substituting using Equations 6 and 7, this equation may be rewritten as

Equation 12

dK
---
ds
= pkK0
-----------
u - s0pk
< 0,

because s0 > u/pk. Thus, introducing an active fair-rate-of-return constraint (that is, lowering s from s0) must increase capital, which is the Averch-Johnson effect.

SOURCE:

Takayama, Akira. 1969. "Behavior of the Firm Under Regulatory Constraint." American Economic Review 59:255-60.

© 2000 Dennis W. Carlton and Jeffrey M. Perloff. Reprinted by permission.





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