Abstract
Decompositions of total factor productivity (TFP) shed light on the driving factors behind productivity change. We develop the first exact decomposition of the Fisher ideal TFP index which contains no debatable mixed-period components or residuals. We systematically isolate five effects of (1) technical change, (2) technical efficiency, (3) scale efficiency, (4) allocative efficiency, and (5) price effect. The three efficiency components (2–4) represent the efficiency of achieving a given target point. Components (1) and (5) capture the changes of the target point. While the technical change component is well-established, changes in the relative input–output prices can have real effects on the scale and scope of the target. Such changes are captured by the new price effect component (5). The new decomposition is compared with existing decompositions both in theory and by means of an empirical application to a panel data of 459 Finnish farms in years 1992–2000.
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Notes
However, if firms are assumed to operate with perfect allocative efficiency, then the quantity data suffices for estimating the Fisher index, as shown by Kuosmanen et al. (2004).
In the axiomatic approach, decompositions of the Fisher ideal price and quantity indices have been developed (see Balk 2003, for a review).
There is a good reason for resorting to the economic (dual) measures of scale efficiency. The conventional distance function based scale measure would be problematic here, because the decomposition would then depend on the order in which its components are calculated, as aptly pointed out by McDonald (1996). The measure of allocative efficiency tends to give different results depending on whether we define it relative to the VRS or CRS benchmark. The dual measures of scale efficiency circumvent this problem.
We are grateful to an anonymous reviewer of this journal for suggesting this alternative interpretation.
The results of the ZP decomposition depend on the weight assigned on the input and the output projections, and are thus not directly comparable.
Kuosmanen and Sipiläinen (2004) report sample averages based on farm-specific productivity indices. For the Fisher TFP index and its decomposition, these sample averages are very similar to those of the representative farm discussed here.
To make this critical profitability measure more robust to data errors and outliers, the 95 percentile of the profitability distribution was used as the empirical estimator for the profitability function. The clipping of the profitability distribution did not have a notable influence on the results to be presented.
The price effect index tracks very closely the observed patterns in the output prices (cf. Fig. 6 in Kuosmanen and Sipiläinen 2004).
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We are grateful to two anonymous reviewers of this journal for their constructive comments that helped to improve this paper.
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Kuosmanen, T., Sipiläinen, T. Exact decomposition of the Fisher ideal total factor productivity index. J Prod Anal 31, 137–150 (2009). https://doi.org/10.1007/s11123-008-0129-z
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DOI: https://doi.org/10.1007/s11123-008-0129-z