IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i18p13611-d1238036.html
   My bibliography  Save this article

Efficiency Analysis of Oil Refineries Using DEA Window Analysis, Cluster Analysis, and Malmquist Productivity Index

Author

Listed:
  • Maiquiel Schmidt de Oliveira

    (Department of Physics, Statistics and Mathematics, Federal University of Technology, Francisco Beltrão 85601-970, Brazil)

  • Mauro Lizot

    (Department of Management of Organizations, Leadership and Decisions, Federal University of Parana, Curitiba 80060-000, Brazil)

  • Hugo Siqueira

    (Department of Industrial Engineering, Federal University of Technology, Curitiba 84017-220, Brazil)

  • Paulo Afonso

    (Algoritmi Research Centre, Department of Industrial Engineering and Systems, University of Minho, 4800-058 Guimarães, Portugal)

  • Flavio Trojan

    (Department of Industrial Engineering, Federal University of Technology, Curitiba 84017-220, Brazil)

Abstract

Oil and gas refineries play a key role in the economies of countries by providing energy to various industrial sectors. A lack of an integrated efficiency analysis procedure, in many industries, could significantly impact the planning of sustainable industrial structures and operations. It also can influence company performance and competitiveness, and, eventually, negatively compromise the fuel supply process. All these problems taken together might negatively impact the environment and sustainable practices. Studies of efficiency in the oil industry can help to reduce its environmental and social impact and to achieve long-term green transition goals. In this work, the data envelopment analysis (DEA) method was used to present improvement goals for production units, based on efficiency indexes. Furthermore, the DEA window analysis model, integrated with the Malmquist index and cluster analysis, was used to evaluate efficiency and the factors that explain the differences between refineries in a number of timeframes. A numerical analysis was carried out with data collected from 12 Brazilian oil refineries between 2012 and 2020, using DEA window analysis, cluster analysis, and the Malmquist index.

Suggested Citation

  • Maiquiel Schmidt de Oliveira & Mauro Lizot & Hugo Siqueira & Paulo Afonso & Flavio Trojan, 2023. "Efficiency Analysis of Oil Refineries Using DEA Window Analysis, Cluster Analysis, and Malmquist Productivity Index," Sustainability, MDPI, vol. 15(18), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13611-:d:1238036
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/18/13611/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/18/13611/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Örkcü, H. Hasan & Balıkçı, Cemal & Dogan, Mustafa Isa & Genç, Aşır, 2016. "An evaluation of the operational efficiency of turkish airports using data envelopment analysis and the Malmquist productivity index: 2009–2014 case," Transport Policy, Elsevier, vol. 48(C), pages 92-104.
    2. Atris, Amani Mohammed & Goto, Mika, 2019. "Vertical structure and efficiency assessment of the US oil and gas companies," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    3. Mette Asmild & Joseph Paradi & Vanita Aggarwall & Claire Schaffnit, 2004. "Combining DEA Window Analysis with the Malmquist Index Approach in a Study of the Canadian Banking Industry," Journal of Productivity Analysis, Springer, vol. 21(1), pages 67-89, January.
    4. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    5. Sueyoshi, Toshiyuki & Goto, Mika, 2015. "DEA environmental assessment in time horizon: Radial approach for Malmquist index measurement on petroleum companies," Energy Economics, Elsevier, vol. 51(C), pages 329-345.
    6. Mohammed Atris, Amani, 2020. "Assessment of oil refinery performance: Application of data envelopment analysis-discriminant analysis," Resources Policy, Elsevier, vol. 65(C).
    7. 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.
    8. Mauro Lizot & Andreia S. Goffi & Shirley S. Thesari & Flavio Trojan & Paulo S. L. P. Afonso & Paula F. V. Ferreira, 2021. "Multi-criteria methodology for selection of wastewater treatment systems with economic, social, technical and environmental aspects," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 9827-9851, July.
    9. 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.
    10. Sueyoshi, Toshiyuki & Wang, Derek, 2014. "Sustainability development for supply chain management in U.S. petroleum industry by DEA environmental assessment," Energy Economics, Elsevier, vol. 46(C), pages 360-374.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shenzi Yang & Guoqing Zhao & Fan Li, 2024. "The Efficiency Evaluation of DEA Model Incorporating Improved Possibility Theory," Mathematics, MDPI, vol. 12(19), pages 1-24, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Adel Hatami-Marbini & Aliasghar Arabmaldar & John Otu Asu, 2022. "Robust productivity growth and efficiency measurement with undesirable outputs: evidence from the oil industry," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(4), pages 1213-1254, December.
    2. Matthias Klumpp, 2017. "Do Forwarders Improve Sustainability Efficiency? Evidence from a European DEA Malmquist Index Calculation," Sustainability, MDPI, vol. 9(5), pages 1-33, May.
    3. Iveta Palecková, 2017. "Application of Window Malmquist Index for Examination of Efficiency Change of Czech Commercial Banks," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 3, pages 173-190, September.
    4. Tingting Yang & Xuefeng Guan & Yuehui Qian & Weiran Xing & Huayi Wu, 2019. "Efficiency Evaluation of Urban Road Transport and Land Use in Hunan Province of China Based on Hybrid Data Envelopment Analysis (DEA) Models," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    5. Aziz KUTLAR & Ali KABASAKAL & Adem BABACAN, 2015. "Dynamic Efficiency of Turkish Banks: a DEA Window and Malmquist Index Analysis for the Period of 2003-2012," Sosyoekonomi Journal, Sosyoekonomi Society, issue 23(24).
    6. Fragoudaki, Alexandra & Giokas, Dimitrios, 2020. "Airport efficiency in the dawn of privatization: The case of Greece," Journal of Air Transport Management, Elsevier, vol. 86(C).
    7. Dang-Thanh Ngo, 2012. "Measuring the Performance of the Banking System Case of Vietnam (1990-2010)," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 2(2), pages 1-10.
    8. Derek Wang & Tianchi Li, 2018. "Carbon Emission Performance of Independent Oil and Natural Gas Producers in the United States," Sustainability, MDPI, vol. 10(1), pages 1-18, January.
    9. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    10. Marcel Clermont, 2016. "Effectiveness and efficiency of research in Germany over time: an analysis of German business schools between 2001 and 2009," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1347-1381, September.
    11. Matthias Klumpp, 2018. "How to Achieve Supply Chain Sustainability Efficiently? Taming the Triple Bottom Line Split Business Cycle," Sustainability, MDPI, vol. 10(2), pages 1-23, February.
    12. Angeliki Flokou & Vassilis Aletras & Dimitris Niakas, 2017. "A window-DEA based efficiency evaluation of the public hospital sector in Greece during the 5-year economic crisis," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-26, May.
    13. Chia-Nan Wang & Hector Tibo & Van Thanh Nguyen & Duy Hung Duong, 2020. "Effects of the Performance-Based Research Fund and Other Factors on the Efficiency of New Zealand Universities: A Malmquist Productivity Approach," Sustainability, MDPI, vol. 12(15), pages 1-18, July.
    14. Hazera Akter & Suborna Barua, 2016. "International trade financing: a comparative study on the performance of state-owned and private commercial banks of Bangladesh," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 9(2), pages 164-186.
    15. Magdalena Ziolo & Sandra Jednak & Gordana Savić & Dragana Kragulj, 2020. "Link between Energy Efficiency and Sustainable Economic and Financial Development in OECD Countries," Energies, MDPI, vol. 13(22), pages 1-28, November.
    16. Mohsen Afsharian & Heinz Ahn, 2015. "The overall Malmquist index: a new approach for measuring productivity changes over time," Annals of Operations Research, Springer, vol. 226(1), pages 1-27, March.
    17. Phi-Hung Nguyen & Thi-Ly Nguyen & Hong-Quan Le & Thuy-Quynh Pham & Hoang-Anh Nguyen & Chi-Vinh Pham, 2023. "How Does the Competitiveness Index Promote Foreign Direct Investment at the Provincial Level in Vietnam? An Integrated Grey Delphi–DEA Model Approach," Mathematics, MDPI, vol. 11(6), pages 1-30, March.
    18. Suhyeon Han & Shinyoung Park & Sejin An & Wonjun Choi & Mina Lee, 2023. "Research on Analyzing the Efficiency of R&D Projects for Climate Change Response Using DEA–Malmquist," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    19. Jens J. Krüger, 2020. "Long‐run productivity trends: A global update with a global index," Review of Development Economics, Wiley Blackwell, vol. 24(4), pages 1393-1412, November.
    20. Pontus Mattsson & Jonas Månsson & Christian Andersson & Fredrik Bonander, 2018. "A bootstrapped Malmquist index applied to Swedish district courts," European Journal of Law and Economics, Springer, vol. 46(1), pages 109-139, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13611-:d:1238036. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.