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Target and technical efficiency in DEA: controlling for environmental characteristics

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  • O. Olesen
  • N. Petersen

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  • O. Olesen & N. Petersen, 2009. "Target and technical efficiency in DEA: controlling for environmental characteristics," Journal of Productivity Analysis, Springer, vol. 32(1), pages 27-40, August.
    • Handle: RePEc:kap:jproda:v:32:y:2009:i:1:p:27-40
    DOI: 10.1007/s11123-009-0133-y
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    References listed on IDEAS

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    1. T. O. Riecken, 1957. "Discussion," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 5(1), pages 32-34, March.
    2. W. MacGILLIVRAY, 1957. "Discussion," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 5(2), pages 108-110, July.
    3. Ray,Subhash C., 2012. "Data Envelopment Analysis," Cambridge Books, Cambridge University Press, number 9781107405264, September.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    6. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    7. Rajiv D. Banker & Richard C. Morey, 1986. "Efficiency Analysis for Exogenously Fixed Inputs and Outputs," Operations Research, INFORMS, vol. 34(4), pages 513-521, August.
    8. Ruggiero, John, 1996. "On the measurement of technical efficiency in the public sector," European Journal of Operational Research, Elsevier, vol. 90(3), pages 553-565, May.
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    Citations

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    Cited by:

    1. Bogetoft, Peter & Wittrup, Jesper, 2021. "Benefit-of-the-doubt approach to workload indicators: Simplifying the use of case weights in court evaluations," Omega, Elsevier, vol. 103(C).
    2. Honma, Satoshi & Hu, Jin-Li, 2014. "A panel data parametric frontier technique for measuring total-factor energy efficiency: An application to Japanese regions," Energy, Elsevier, vol. 78(C), pages 732-739.
    3. Khoshnevis, Pegah & Teirlinck, Peter, 2018. "Performance evaluation of R&D active firms," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 16-28.
    4. Olesen, Ole Bent & Petersen, Niels Christian & Podinovski, Victor V., 2015. "Efficiency analysis with ratio measures," European Journal of Operational Research, Elsevier, vol. 245(2), pages 446-462.
    5. Kidanemariam Berhe Hailu & Kaoru Tone, 2017. "Setting handicaps to industrial sectors in DEA illustrated by Ethiopian industry," Annals of Operations Research, Springer, vol. 248(1), pages 189-207, January.
    6. Darold Barnum & John Gleason, 2011. "Measuring efficiency under fixed proportion technologies," Journal of Productivity Analysis, Springer, vol. 35(3), pages 243-262, June.
    7. Bolli, Thomas & Olivares, Maria & Bonaccorsi, Andrea & Daraio, Cinzia & Aracil, Adela Garcia & Lepori, Benedetto, 2016. "The differential effects of competitive funding on the production frontier and the efficiency of universities," Economics of Education Review, Elsevier, vol. 52(C), pages 91-104.

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    More about this item

    Keywords

    Environment; Data envelopment analysis; Nondiscretionary inputs; C0; C4; C6; C67; C8;
    All these keywords.

    JEL classification:

    • C0 - Mathematical and Quantitative Methods - - General
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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