Titlebook: An Introduction to Efficiency and Productivity Analysis; Tim Coelli,D. S. Prasada Rao,George E. Battese Book 19981st edition Springer Scie

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Productivity Measurement Using Efficiency Measurement Methods,ive assumptions inherent in the Tornqvist/Fisher index approach discussed in Chapter 5. That is, we do not need to assume that all firms are cost minimisers and revenue maximisers. This is of particular benefit when we are analysing public sector and not-for-profit organisations where these assumptions are unlikely to be valid.

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https://doi.org/10.1007/978-3-663-08414-3nce is a relative concept. For example, the performance of the factory in 1996 could be measured relative to its 1995 performance or it could be measured relative to the performance of another factory in 1996, etc.

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https://doi.org/10.1007/978-3-322-89618-6asic productivity and efficiency measurement methods, and will also assist with the interpretation of more advanced methods, such as the measurement of allocative efficiency using stochastic frontier cost functions, which is discussed in Chapter 9.

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Additional Topics in Production Economics,asic productivity and efficiency measurement methods, and will also assist with the interpretation of more advanced methods, such as the measurement of allocative efficiency using stochastic frontier cost functions, which is discussed in Chapter 9.

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Introduction,nce is a relative concept. For example, the performance of the factory in 1996 could be measured relative to its 1995 performance or it could be measured relative to the performance of another factory in 1996, etc.

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,The Tight Bound of First Fit Decreasing Bin-Packing Algorithm Is ,(,) ≤ 11/9,(,) + 6/9,is always packed into the first bin where it fits. For an instance . let .(.) and .(.) denote the number of the used bins by algorithm FFD, and an optimal algorithm, respectively. We show in this paper that .and that this bound is tight. The tight bound of the additive constant was an open question