If the firm produces one product X, using two factors A and B, then, as before, a fall in the price of A will cause an increase in the demand for A. But what happens with X and with B? Section 1 and Section 2 of this chapter looked at each of these, respectively, in isolation. Figure 20 indicated that the supply of X must increase, and Figure 21 indicated that the demand for B would decrease, but these arguments did not account for the possibility of complementarity.
When Hicks brings complementarity into the picture, he concludes that there would appear to be three ways in which to balance an increased demand for A:
(1) The supply of the product X may be increased, and the demand for the other factor B may be reduced (here no complementarity is present).From figures 20 and 21 it is fairly clear that the typical relationship between factor and product -- in which more of the former will result in more of the latter -- is similar to the substitute relationship between two commodities, or between two factors, or between two products. Given this similarity, it is natural to ask whether there is something that would be similar to complementarity, and Hicks identifies case (3) as that very thing. He calls it "regression." If factor A and product X are regressive, then substituting A for B will decrease the marginal product of B in terms of X. This in turn will decrease the supply of X (given the prices of B and X).
(2) The supply of X may be increased, but the demand for B may increase as well (here the factors A and B are complementary).
(3) The demand for the factor B may be reduced, but the supply of the product may be reduced too. Here there is a queer sort of inverted complementarity between factor and product.
Hicks closes this section with an amusing bit of sympathy for the reader:
I have a feeling that at this point the reader will rub his eyes, and declare that something must have gone wrong with the argument. Regression is such a peculiar relation that it is hard to reconcile it with common sense. Something, it would seem, must have been left out, which either excludes regression, or at least limits its possibility very drastically. Let us see what that can be.Hicks will address this question in the next section.