Abstract
Measures of efficiency can be viewed as ex post measures of how well firm managers have solved different optimisation problems. For example, measures of output-oriented technical efficiency can be viewed as measures of how well managers have maximised outputs when inputs and output mixes have been predetermined. Similarly, measures of profit efficiency can be viewed as measures of how well managers have maximised profits when inputs and outputs have been chosen freely. This chapter discusses various output-, input-, revenue-, cost-, profit- and productivity-oriented measures of efficiency. Except where explicitly stated otherwise, all measures of efficiency defined in this chapter take values in the closed unit interval. A firm manager is said to have been fully efficient by some measure if and only if that measure takes the value one.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
As \(\tau \rightarrow 1\), \(\sigma \rightarrow -\infty \). By a limiting argument originally due to Hardy et al. (1934, pp. 13, 15) , \(\lim _{\sigma \rightarrow -\infty }\left( \sum _n \gamma _n^\sigma a_n^{1-\sigma }\right) ^{1/(1-\sigma )}=\max \{a_1/\gamma _1,\dots ,a_N/\gamma _N\}\).
- 2.
- 3.
- 4.
- 5.
The ‘group-k’ distance function in O’Donnell et al. (2008) is not necessarily a technology-specific distance function. It could, for example, be a period-and-environment-specific distance function.
References
Balk B (1998) Industrial price, quantity, and productivity indices: the micro-economic theory and an application. Kluwer Academic Publishers, Boston
Banker R, Maindiratta A (1988) Nonparametric analysis of technical and allocative efficiencies in production. Econometrica 56(6):1315–1332
Banker R, Charnes A, Cooper W (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Manage Sci 30(9):1078–1092
Battese G, Rao DSP (2002) Technology gap, efficiency, and a stochastic metafrontier function. Int J Bus Econ 1(2):87–93
Chambers R, Chung Y, Färe R (1998) Profit, directional distance functions, and Nerlovian efficiency. J Optim Theory Appl 98(2):351–364
Charnes A, Cooper W, Rhodes E (1981) Evaluating program and managerial efficiency: an application of data envelopment analysis to program follow through. Manage Sci 27(6):668–697
Debreu G (1951) The coefficient of resource utilization. Econometrica 19(3):273–292
Dervaux B, Kerstens K, Vanden Eeckaut P (1998) Radial and nonradial static efficiency decompositions: a focus on congestion measurement. Transp Res Part B: Methodol 32(5):299–312
Färe R (1975) Efficiency and the production function Zeitschrift fĂ¼r Nationalökonomie. J Econ 35(3–4):317–324
Färe R, Grosskopf S (1997) Profit efficiency, farrell decompositions and the mahler inequality. Econ Lett 57(3):283–287
Färe R, Lovell C (1978) Measuring the technical efficiency of production. J Econ Theory 19(August):150–162
Färe R, Primont D (1995) Multi-output production and duality: theory and applications. Kluwer Academic Publishers, Boston
Färe R, Grosskopf S, Lovell C (1985) The measurement of efficiency of production. Kluwer Academic Publishers, Boston
Farrell M (1957) The measurement of productive efficiency. J R Stat Soc, Series A (General) 120(3):253–290
Hardy G, Littlewood J, Polya G (1934) Inequalities. Cambridge University Press, Cambridge
O’Donnell C (2010) Measuring and decomposing agricultural productivity and profitability change. Aust J Agric Resour Econ 54(4):527–560
O’Donnell C (2012) Nonparametric estimates of the components of productivity and profitability change in U.S. agriculture. Am J Agric Econ 94(4):873–890
O’Donnell C (2016) Using information about technologies, markets and firm behaviour to decompose a proper productivity index. J Econometrics 190(2):328–340
O’Donnell C, Nguyen K (2013) An econometric approach to estimating support prices and measures of productivity change in public hospitals. J Prod Anal 40(3):323–335
O’Donnell C, Rao D, Battese G (2008) Metafrontier frameworks for the study of firm-level efficiencies and technology ratios. Empirical Econ 34(2):231–255
O’Donnell C, Fallah-Fini S, Triantis K (2017) Measuring and analysing productivity change in a metafrontier framework. J Prod Anal 47(2):117–128
Panzar J, Willig R (1981) Economies of scope. Am Econ Rev 72(1):268–272
Portela M, Thanassoulis E (2007) Developing a decomposable measure of profit efficiency using DEA. J Oper Res Soc 58(4):481–490
Russell R, Schworm W (2009) Axiomatic foundations of efficiency measurement on data-generated technologies. J Prod Anal 31(2):77–86
Russell R, Schworm W (2011) Properties of inefficiency indexes on \({<}\)input, output\({>}\) space. J Prod Anal 36(2):143–156
Zhang N, Zhou P, Choi Y (2013) Energy efficiency, CO\(_2\) emission performance and technology gaps in fossil fuel electricity generation in Korea: a meta-frontier non-radial directional distance function analysis. Energy Policy 56(May):653–662
Zieschang K (1984) An extended farrell technical efficiency measure. J Econ Theory 33(2):387–396
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
O’Donnell, C.J. (2018). Measures of Efficiency. In: Productivity and Efficiency Analysis. Springer, Singapore. https://doi.org/10.1007/978-981-13-2984-5_5
Download citation
DOI: https://doi.org/10.1007/978-981-13-2984-5_5
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-2982-1
Online ISBN: 978-981-13-2984-5
eBook Packages: Economics and FinanceEconomics and Finance (R0)