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The contributions of productivity, price changes and firm size to profitability

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Abstract

Sources of profit change for Telstra, Australia’s largest telecommunications firm, are examined. A new method allows for changes, in a firm’s profits to be broken down into separate effects due to productivity change, price changes, and growth in the firm’s size. This in turn allows us to calculate the distribution of the benefits of productivity improvements between consumers, labor, and shareholders. The results show that around half the benefits from Telstra’s productivity improvements from 1984 to 1994 were passed on to consumers in the form of real price reductions.

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Notes

  1. This could be net or gross operating surplus. We will use gross operating surplus as our definition of “profit” in our empirical application (see Eq. 8)

  2. The notation p t ≫ 0 N means each element of p is positive, while p t  >  0 N means p t  ≥  0 N but p  ≠  0 N .

  3. Similar decompositions have been employed in different contexts. For example, Diewert and Morrison (1986) and Fox and Kohli (1998) used this approach to decompose the growth in domestic product in the context of an open trading economy.

  4. This gross-operating-surplus approach is consistent with national income accounting conventions. Gross operating surplus is equal to the value of outputs less the value of intermediate inputs less the value of labor input. Here we include labor as an intermediate input rather than a primary input, as firms can typically adjust their labor input even in the short run.

  5. The usual axiomatic approach to index number theory regards the price and quantity vectors pertaining to two situtations to be compared as being completely exogenous vectors, whereas the economic approach to index number theory regards the two price vectors as being exogenous but the two quantity vectors are regarded as being determined endogenously as the solution to some sort of economic optimization problem.

  6. Note that this is different from a national-accounting-type context, where labor is also treated as a primary input. It may be reasonable to make this assumption for a country, but for a firm which can easily vary its labor input in the short run, it seems more reasonable to treat labor as an intermediate good. Substitution between intermediate inputs and capital is still possible in the “long run,” and we will be using annual data where we observe changes in capital and the intermediate inputs in the same period. This particular assumption can be viewed as just being clear about the short-run variable inputs that are available to decision-makers in the firm each (arbitrarily short) period.

  7. Alternative deflators to the consumer price index (CPI) could be considered. However, using a deflator for, e.g., telecommunications services and equipment in the current context would remove much or all of the price variability in which we are interested (as it would closely reflect the price movements in the industry, rather than just the general trend of overall inflation in the economy). Thus, we use the CPI as we want to capture contributions to profits from relative, or “real”, price changes; that is, the change in industry prices relative to overall economy-wide price changes measured by the CPI.

  8. See, e.g. Griliches (1963), Jorgenson (1996), and Diewert and Lawrence (2000) for more on the general problems relating to the measurement of capital.

  9. The BIE was absorbed by the Industry Commission in 1996 to form the Productivity Commission.

  10. It is generally thought that output is not well measured in service industries, such as telecommunications, so it is possible that productivity growth is underestimated here. On the other hand, no adjustment has been made for changes in the quality of capital, and the estimated productivity growth includes capital-embodied technological change.

  11. Such data problems are inherent in any productivity study, as we are always constrained by the available data. It is possible that there are considerable measurement problems besides those noted in this paper (see, e.g. Jorgenson and Griliches 1972; Griliches 1994; Diewert and Fox 1999, 2001).

  12. While it may be of interest in some contexts to model interactions between the determinants of profit, such as capital and productivity (see, e.g. Lucas 1978, Jovanovic 1982), here we are conducting an ex post analysis on the observed data.

  13. Of course, if there had actually been no productivity change, then Telstra’s investment decisions would have been different from those observed, for example. Our analysis is an ex post analysis of the observed data, so that by assuming “no change” of the other components, we are isolating contributions from each source in turn.

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Acknowledgements

The authors gratefully acknowledge helpful comments from two anonymous referees and participants at the International Conference on Index Number Theory and the Measurement of Prices and Productivity, Vancouver 2004.

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Correspondence to Denis Lawrence.

Appendix

Appendix

Here we provide a justification from economic theory for the profit decomposition method that was presented in the methodology section. Note that this is an optional justification, in that the method was justified above solely from accounting algebra and the axiomatic approach to index numbers.

In using an economic justification, an important issue that needs to be considered is the exogeneity of prices. For infrastructure firms, the regulator typically sets output prices so that price taking behavior is an acceptable approximation to what would prevail under deregulation. That is, whether the prices are determined by a perfectly competitive market or by a regulator, the effect is the same in that prices are taken as exogenously given by the firm(s). For inputs, we assume that the prices are exogenously determined in a competitive market. Also, the quantity of capital available to the firm at time t, k t, is taken as exogenously given (“quasi-fixed”) in every period.

Consider a general representation of a restricted profit function for a firm, πt, as follows:

$$ \pi (p^t,k^t, t) = \max_{y^t} \left\{ p^t \cdot y^t: (y^t,k^t,t) \in S^t \right\}, $$
(12)

where S t is the production possibility set for the firm. Hence, profit is maximized by the choice of y t, subject to the constraint that k t is exogenously given in each period (Samuelson 1953–4; Gorman 1968). The conditions which define a restricted profit function with constant returns to scale are that it is (1) a nonnegative function, (2) positive homogeneous of degree one in p t, (3) convex and continuous in p t for every fixed k t, (4) positive homogeneous of degree one in k t, (5) nondecreasing in k t for every fixed p t, and (6) concave and continuous in k t for every fixed p t.

We consider the case where the log of π(·) in (12) has the translog form (Christensen et al. 1973; Diewert 1974; Russell and Boyce 1974), such that for each period t

$$ \ln \pi(p^t,k^t,t) \equiv \alpha^{t}_0 + \sum^N_{i=1} \alpha^{t}_i \ln p_i +\frac{1}{2} \sum^N_{i=1} \sum^N_{j=1} \alpha_{ij} \ln p^t_i \ln p^t_j + \ln k^t, $$
(13)

where α ij  =  α ji , for i,j  =  1,... ,N, and the following restrictions hold so that the functional form in (13) exhibits constant returns to scale: ∑ αt i  = 1 and ∑ α ij  = 0. Note that only the “second-order” coefficients in (13) are restricted to be constant across time. This translog profit function is “flexible” in the sense that it can approximate an arbitrary, twice continuously differentiable function to the second order (Diewert 1974, p113).

Diewert and Morrison (1986) exploited the translog identity of Caves et al. (1982) to prove a relationship between the translog functional form and the Törnqvist index formula and which they use for decomposing the growth in domestic product for a trading economy. In the current context we have the following theorem.

Theorem 1

If the functional form for a firm’s profit function, π, is translog as defined by (13) in periodst − 1 andt, firms are price takers and there is profit maximising behavior in both periods, then a theoretical productivity index of the form.

$$ R^t \equiv \left[\frac{\pi(p^{t-1}, k^{t-1}, t)}{\pi(p^{t-1}, k^{t-1}, t-1)} \frac{\pi(p^{t}, k^{t}, t)}{\pi(p^{t}, k^{t}, t-1)} \right]^{1/2} $$
(14)

can be written as

$$ R^t = \frac{G^t / P^t}{K^t} $$

as in Eq. (2), wherePtandKthave the Törnqvist form of Eqs. (4) and (9), respectively.

Note that first ratio in the brackets of the theoretical productivity index in (14) is an index of productivity difference using period t − 1 reference netput prices and capital quantities, and the second ratio is a competing index of productivity change which uses t reference netput prices and input quantities. In each case, the only thing changing in going from the denominator to the numerator is technology. In this way, technological change (which is equal to “productivity change” in this context) is captured by both ratios. Because it is unclear which of these two possible theoretical indexes is preferred, a geometric mean of the two is used in (14).

Proof of the Theorem If producers are price-taking profit maximisers, then from Hotelling’s Lemma,

$$ y^{t} = \bigtriangledown_p \pi^t(p^t,k^t,t) $$
(15)

using vector notation, where ▽ p denotes the vector of first order derivatives with respect to each element of the price vector pt. Then,

$$ \begin{aligned}R^{t} & = \left[\frac{\pi(p^{t-1}, k^{t-1}, t)/k^{t-1}}{\pi(p^{t-1}, k^{t-1}, t-1)/k^{t-1}} \frac{\pi(p^{t}, k^{t}, t)/k^t}{\pi(p^{t}, k^{t}, t-1)/k^t} \right]^{1/2}\\ & = \frac{\pi(p^t,k^t,t)/k^t}{\pi^{t-1}(p^{t-1},k^{t-1},t-1)/k^{t-1})} \left[\frac{\pi(p^{t-1}, k^{t-1}, t)/k^{t-1}}{\pi(p^{t}, k^{t}, t-1)/k^{t}} \frac{\pi(p^{t-1}, k^{t-1}, t-1)/k^{t-1}}{\pi(p^{t}, k^{t}, t-1)/k^t} \right] ^{1/2}\\ & = \frac{p^t \cdot y^t}{p^{t-1} \cdot y^{t-1}} \exp \left\{ \frac{1}{2} \left[\bigtriangledown_{\ln p} \ln \frac{\pi(p^t,k^t,t)}{k^t} +\bigtriangledown_{\ln p} \ln \frac{\pi(p^{t-1},k^{t-1},t-1)}{k^{t-1}} \right] \ln \left(\frac{p^{t-1}}{p^t}\right)\right\}\frac{k^{t-1}}{k^t},\end{aligned} $$
(16)

where we have used the translog identity, π(pt,kt,t)  = pt·yt, and the notation pt·yt  =  ∑ pt i yt i . Using (15) to re-express this last line of (16) yields

$$ R^{t} = \frac{p^t \cdot y^t}{p^{t-1} \cdot y^{t-1}} \exp \left\{ \frac{1}{2} \sum_{i=1}^N \left[\frac{(p_i^t y_i^t)/k^t} {p^t \cdot y^t/k^t} + \frac{\left(p_i^{t-1} y_i^{t-1}\right)/k^{t-1}} {p^{t-1} \cdot y^{t-1}/k^{t-1}} \right] \ln \left(\frac{p_i^{t-1}}{p_i^t}\right)\right\}\frac{k^{t-1}}{k^t}, $$

which can easily be simplified to prove the theorem.

As shown by Diewert and Morrison (1986), similar theorems can be proven to provide a theoretical link between price and quantity and economic theory. In fact, every sub-index of Eqs. (6) and (7) can be similarly derived from theoretical price and quantity indexes which are functions of profit functions. This provides a firm micro-theoretic foundation for every component of the decomposition of profit growth represented by Eqs. (3), (6), and (7).

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Lawrence, D., Diewert, W.E. & Fox, K.J. The contributions of productivity, price changes and firm size to profitability. J Prod Anal 26, 1–13 (2006). https://doi.org/10.1007/s11123-006-0001-y

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