Variable and Constant Returns-to-Scale Production Technologies with Component Processes
Published Online:28 Jul 2021https://doi.org/10.1287/opre.2021.2103
References
- (1972) Efficiency estimation of production functions. Internat. Econom. Rev. 13(3):568–598.Crossref, Google Scholar
- (1984) Estimating most productive scale size using data envelopment analysis. Eur. J. Oper. Res. 17(1):35–44.Crossref, Google Scholar
- (1992) Estimation of returns to scale using data envelopment analysis. Eur. J. Oper. Res. 62(1):74–84.Crossref, Google Scholar
- (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Sci. 30(9):1078–1092.Link, Google Scholar
- (1995) Determining teaching and research efficiencies. J. Oper. Res. Soc. 46(4):441–452.Crossref, Google Scholar
- (2008) A “calculus” for data envelopment analysis. J. Prod. Anal. 30(3):169–175.Crossref, Google Scholar
- (1998) Profit, directional distance functions, and Nerlovian efficiency. J. Optim. Theory Appl. 98(2):351–364.Crossref, Google Scholar
- (1978) Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2(6):429–444.Crossref, Google Scholar
- (2016) Multi-output profit efficiency and directional distance functions. Omega 61:100–109.Crossref, Google Scholar
- (2013) Opening the “black box” of efficiency measurement: Input allocation in multioutput settings. Oper. Res. 61(5):1148–1165.Link, Google Scholar
- (2004) Multicomponent efficiency measurement and core business identification in multiplant firms: A DEA model. Eur. J. Oper. Res. 157(3):540–551.Crossref, Google Scholar
- (2001) Sales performance measurement in bank branches. Omega 29(4):299–307.Crossref, Google Scholar
- (2006) Incorporating multiprocess performance standards into the DEA framework. Oper. Res. 54(4):656–665.Link, Google Scholar
- (2011) Multiple variable proportionality in data envelopment analysis. Oper. Res. 59(4):1024–1032.Link, Google Scholar
- (2000) Multicomponent efficiency measurement and shared inputs in data envelopment analysis: An application to sales and service performance in bank branches. J. Productivity Anal. 14(3):209–224.Crossref, Google Scholar
- (2013) Data envelopment analysis with nonhomogeneous DMUs. Oper. Res. 61(3):666–676.Link, Google Scholar
- (2007) Data Envelopment Analysis. A Comprehensive Text with Models, Applications, References and DEA-Solver Software, 2nd ed. (Springer, New York).Crossref, Google Scholar
- (2016) Modelling pollution-generating technologies in performance benchmarking: Recent developments, limits and future prospects in the nonparametric framework. Eur. J. Oper. Res. 250(2):347–359.Crossref, Google Scholar
- (2015) Cone ratio models with shared resources and nontransparent allocation parameters in network DEA. J. Productivity Anal. 44(2):137–155.Crossref, Google Scholar
- (2001) Pitfalls and protocols in DEA. Eur. J. Oper. Res. 132(2):245–259.Crossref, Google Scholar
- (1983) The relative efficiency of Illinois electric utilities. Resources Energy 5(4):349–367.Crossref, Google Scholar
- (1985) The Measurement of Efficiency of Production (Kluwer Academic Publishers, Boston).Crossref, Google Scholar
- (1994) Production Frontiers (Cambridge University Press, Cambridge, UK).Google Scholar
- (2004) Calculating scale elasticity in DEA models. J. Oper. Res. Soc. 55(10):1023–1038.Crossref, Google Scholar
- (1965) Theory of Production (D. Reidel Publishing Company, Dordrecht).Crossref, Google Scholar
- (2000) Returns to scale and scale elasticity in data envelopment analysis. Eur. J. Oper. Res. 125(1):93–112.Crossref, Google Scholar
- (2006) One-sided elasticities and technical efficiency in multi-output production: A theoretical framework. Eur. J. Oper. Res. 168(2):425–449.Crossref, Google Scholar
- (2013) Partial input to output impacts in DEA: Production considerations and resource sharing among business subunits. Naval Res. Logist. 60(3):190–207.Crossref, Google Scholar
- (2014) Network data envelopment analysis: A review. Eur. J. Oper. Res. 239(1):1–16.Crossref, Google Scholar
- (2019) Weak disposability in nonparametric production analysis: A new taxonomy of reference technology sets. Eur. J. Oper. Res. 274(1):186–198.Crossref, Google Scholar
- (2017) Returns to scale in convex production technologies. Eur. J. Oper. Res. 258(3):970–982.Crossref, Google Scholar
- (2019) Cone extensions of polyhedral production technologies. Eur. J. Oper. Res. 276(2):736–743.Crossref, Google Scholar
- (2020) Consistency of returns-to-scale characterizations of production frontiers with respect to model specification. Eur. J. Oper. Res. 280(2):609–620.Crossref, Google Scholar
- (2010) Differential characteristics of efficient frontiers in data envelopment analysis. Oper. Res. 58(6):1743–1754.Link, Google Scholar
- (2018) Nonparametric production technologies with multiple component processes. Oper. Res. 66(1):282–300.Link, Google Scholar
- (2016) Marginal values and returns to scale for nonparametric production frontiers. Oper. Res. 64(1):236–250.Link, Google Scholar
- (2004) Data Envelopment Analysis. Theory and Techniques for Economics and Operations Research (Cambridge University Press, Cambridge, UK).Crossref, Google Scholar
- (2015) Scale elasticity in non-parametric DEA approach. Zhu J, ed. Data Envelopment Analysis: A Handbook of Models and Methods (Springer Science + Business Media, New York), 269–290.Google Scholar
- (1974) Indirect Production Functions, Mathematical Systems in Economics No. 10 (Anton Hain, Meisenheim am Glan).Google Scholar
- (2011) Costs and efficiency of higher education institutions in England: A DEA analysis. J. Oper. Res. Soc. 62(7):1282–1297.Crossref, Google Scholar
- (2018) Disaggregation of the cost Malmquist productivity index with joint and output-specific inputs. Omega 75:1–12.Crossref, Google Scholar
- (2013) A scale elasticity measure for directional distance function and its dual: Theory and DEA estimation. Eur. J. Oper. Res. 228(3):592–600.Crossref, Google Scholar

