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Robust productivity growth and efficiency measurement with undesirable outputs: evidence from the oil industry

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  • Hatami-Marbini, A.
  • Arabmaldar, A.
  • Otu Asu, J.

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  • Hatami-Marbini, A. & Arabmaldar, A. & Otu Asu, J., 2022. "Robust productivity growth and efficiency measurement with undesirable outputs: evidence from the oil industry," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138964, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:138964
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/138964/
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    File URL: https://link.springer.com/article/10.1007/s00291-022-00683-y
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    References listed on IDEAS

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    1. Al-Mana, Ali A. & Nawaz, Waqas & Kamal, Athar & Koҫ, Muammer, 2020. "Financial and operational efficiencies of national and international oil companies: An empirical investigation," Resources Policy, Elsevier, vol. 68(C).
    2. Robert Thrall, 2000. "Measures in DEA with an Application to the Malmquist Index," Journal of Productivity Analysis, Springer, vol. 13(2), pages 125-137, March.
    3. Walheer, Barnabé, 2018. "Disaggregation of the cost Malmquist productivity index with joint and output-specific inputs," Omega, Elsevier, vol. 75(C), pages 1-12.
    4. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    5. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    6. Arabmaldar, A. & Mensah, E.K. & Toloo, M., 2021. "Robust worst-practice interval DEA with non-discretionary factors," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 138966, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    Cited by:

    1. Arabmaldar, Aliasghar & Hatami-Marbini, Adel & Loske, Dominic & Hammerschmidt, Maik & Klumpp, Matthias, 2024. "Robust data envelopment analysis with variable budgeted uncertainty," European Journal of Operational Research, Elsevier, vol. 315(2), pages 626-641.
    2. Hatami-Marbini, Adel & Asu, John Otu & Hafeez, Khalid & Khoshnevis, Pegah, 2024. "DEA-driven risk management framework for oil supply chains," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).
    3. Arabmaldar, Aliasghar & Sahoo, Biresh K. & Ghiyasi, Mojtaba, 2023. "A generalized robust data envelopment analysis model based on directional distance function," European Journal of Operational Research, Elsevier, vol. 311(2), pages 617-632.
    4. Li, Jiang & Wu, Hecheng & Zhu, Chen & Goh, Mark, 2024. "Evaluating and analyzing renewable energy performance in OECD countries under uncertainty: A robust DEA approach with common weights," Applied Energy, Elsevier, vol. 375(C).
    5. Yang, Zijiang & Omrani, Hashem & Imanirad, Raha, 2024. "Assessing airline efficiency with a network DEA model: A Z-number approach with shared resources, undesirable outputs, and negative data," Socio-Economic Planning Sciences, Elsevier, vol. 96(C).

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