The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Profit, Directional Distance Functions, and Nerlovian Efficiency
Open accessAbstract
The directional technology distance function is introduced, given an interpretation as a min-max, and compared with other functional representations of the technology including the Shephard input and output distance functions and the McFadden gauge function. A dual correspondence is developed between the directional technology distance function and the profit function, and it is shown that all previous dual correspondences are special cases of this correspondence. We then show how Nerlovian (profit-based) efficiency measures can be computed using the directional technology distance function.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“To overcome this issue, Fusco (2015) suggests including a 'directional penalty' in the classic BoD model by using the directional distance function introduced by Chambers et al. (1998).”
From On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness (2019) · cites this paper as Chambers et al. 1998
Citations
Cites
The Measurement of Productive Efficiency
Farrell, M. J. (1957) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2343100 · Cited by 16,038
Moffitt, R. A. (2009) · American Economic Review · doi:10.1257/aer.99.2.660 · Cited by 4,694
Theory of Cost and Production Functions
Shepherd, R. W. (2015) · Princeton University Press eBooks · doi:10.1515/9781400871087 · Cited by 2,803
The Coefficient of Resource Utilization
Debreu, G. (1951) · Econometrica · doi:10.2307/1906814 · Cited by 2,318
Shephard, R. W. (1981) · Lecture Notes in Economics and Mathematical Systems · doi:10.1007/978-3-642-51578-1 · Cited by 1,890
Theory of Cost and Production Functions.
Pyatt, G., & Shephard, R. W. (1972) · The Economic Journal · doi:10.2307/2230285 · Cited by 1,472
Benefit and Distance Functions
Chambers, R. G., Chung, Y., & Färe, R. (1996) · Journal of Economic Theory · doi:10.1006/jeth.1996.0096 · Cited by 1,408
Self-citationMulti-Output Production and Duality: Theory and Applications
Färe, R. G., & Primont, D. (1995) · Springer eBooks · doi:10.1007/978-94-011-0651-1 · Cited by 1,309
Self-citationProduction Economics: A Dual Approach to Theory and ApplicationsPreprint
Fuss, M., & McFadden, D. L. (1978) · RePEc: Research Papers in Economics · Cited by 903
Luenberger, D. G. (1992) · Journal of Mathematical Economics · doi:10.1016/0304-4068(92)90035-6 · Cited by 562
Research works printed but not linked: 2
- Luenberger, D., Microeconomic Theory, McGraw Hill, New York, New York, 1995.
- Chung, Y., Directional Distance Functions and Undesirable Outputs, PhD Thesis, Southern Illinois University, 1996.
Cited by
Greco, S., Ishizaka, A., Tasiou, M., & Torrisi, G. (2019) · Social Indicators Research · doi:10.1007/s11205-017-1832-9 · Cited by 1,325
Negative data in DEA: a directional distance approach applied to bank branches
Portela, M. C. A. S., Thanassoulis, E., & Simpson, G. (2004) · Journal of the Operational Research Society · doi:10.1057/palgrave.jors.2601768 · Cited by 440
Enhancing non-compensatory composite indicators: A directional proposal
Fusco, E. (2015) · European Journal of Operational Research · doi:10.1016/j.ejor.2014.10.017 · Cited by 80
Metadata
- Authors
- Chambers, R. G., Chung, Y., & Färe, R.
- Affiliations
- University of Maryland, College Park (US)
- Southern Illinois University Carbondale (US)
- Oregon State University (US)
- Venue
- Journal of Optimization Theory and Applications
- Published
- 1998-08
- Volume
- 98
- Issue
- 2
- Pages
- 351-364
- ISSN
- 0022-3239 (ISSN-L)
- 1573-2878
- OpenAlex
- W1595334554
- Cited by
- 1,167
- References
- 19
- Citations by year
- 2026: 35 · 2025: 48 · 2024: 68 · 2023: 60 · 2022: 96 · 2021: 58 · 2020: 66 · 2019: 64 · 2018: 65 · 2017: 59 · 2016: 51 · 2015: 71 · 2014: 59 · 2013: 56 · 2012: 62
- FWCI
- 11.03
- Type
- journal article
- Language
- en
- Open access
- green
- ageconsearch.umn.edu
- Licence
- cc-by-nc-nd
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
- www.springer.com/tdm (unspecified)
- Locations
- Journal of Optimization Theory and Applications (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- AgEcon Search (University of Minnesota, USA) (submittedVersion, cc-by-nc-nd)
- AgEcon Search (University of Minnesota, USA)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Efficiency Analysis Using DEA
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Optimization and Variational Analysis
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Agricultural economics and policies
- Keywords
- directional distance function, profit function, duality, efficiency indicators, production technology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.