Exact nonradial input, output, and productivity measurement

By R. Chambers. 2002

230 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/bb2df6430e9627ff2c5d85167651f112f9f22f1c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Kristiaan Kerstens
2. Walter Briec
3. Jin-Li Hu
4. Shunsuke Managi
5. M. Nakano
6. Tzu-Pu Chang

In Management Science and Operations Research

1. Walter Briec
2. Kristiaan Kerstens

Citations in the corpus

• Infeasibility and Directional Distance Functions with Application to the Determinateness of the Luenberger Productivity Indicator (2009, background): “Notably, Chambers and Pope [16] define a Luenberger productivity indicator in terms of differences between directional distance functions (see also Chambers [17]).”
• Exact relations between Luenberger productivity indicators and Malmquist productivity indexes (2008, unknown): “The Luenberger productivity indicator, introduced by Chambers (2002), is also based on distance functions, albeit directional distance functions rather than Shephard type distance functions, where the former are additive in structure and the latter multiplicative.”
• The Hicks-Moorsteen productivity index satisfies the determinateness axiom (2011, unknown): “…index (e.g. Glass and McKillop, 2000), thereby masking the prevalence of this problem and contributing to its neglect in the literature.2 Chambers (2002) introduced a more general Luenberger productivity indicator in terms of differences between directional distance functions, the…”
• A Luenberger-Hicks-Moorsteen productivity indicator: its relation to the Hicks-Moorsteen productivity index and the Luenberger productivity indicator (2004, methodology): “In the remainder, we denote by DT (b) (x, y; g) = max δ {δ ∈ R; (x − δg i , y + δg o ) ∈ T (b)} the timerelated version of this directional distance function, where (a, b) ∈ {t, t + 1} × {t, t + 1}. Note that this function is defined using a general directional vector g, while we consider the specia”
• Luenberger and Malmquist Productivity Indices: Theoretical Comparisons and Empirical Illustration (2003, background): “Making use of the shortage function, Chambers, Färe and Grosskopf (1996) introduced the Luenberger productivity index, as a difference of directional distance functions (see also Balk, 1998; Chambers, 2002).”