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Malmquist Productivity Indices and Plant Capacity Utilisation: New Proposals and Empirical Application

Author

Listed:
  • Kristiaan KERSTENS

    (IESEG School of Management and LEM-UMR 9221)

  • Jafar SADEGHI

    (IESEG School of Management and Ivey Business School)

  • Ignace VAN DE WOESTYNE

    (KU Leuven, Research Unit MEES)

  • Linjia ZHANG

    (International Business School Suzhou, Xi'an Jiaotong-Liverpool University)

Abstract

The purpose of this contribution is to compute the popular Malmquist productivity index while adding a component representing plant capacity utilisation. In particu- lar, this is –to the best of our knowledge– the ?rst empirical application estimating both input- and output-oriented Malmquist productivity indices in conjunction with the corresponding input- and output-oriented plant capacity utilisation measures. Our empirical application focuses on a provincial data set of tourism activities in China over the period 2008 to 2016.

Suggested Citation

  • Kristiaan KERSTENS & Jafar SADEGHI & Ignace VAN DE WOESTYNE & Linjia ZHANG, 2020. "Malmquist Productivity Indices and Plant Capacity Utilisation: New Proposals and Empirical Application," Working Papers 2020-EQM-06, IESEG School of Management.
    • Handle: RePEc:ies:wpaper:e202006
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    2. Tao, Xiangyang & An, Qingxian & Goh, Mark, 2024. "Plant capacity utilization with piecewise Cobb-Douglas technology: Definition and interpretation," European Journal of Operational Research, Elsevier, vol. 316(3), pages 1034-1043.
    3. Bo Peng & Rasa Melnikiene & Tomas Balezentis & Giulio Paolo Agnusdei, 2024. "Structural dynamics and sustainability in the agricultural sector: the case of the European Union," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 12(1), pages 1-27, December.
    4. Helu Xiao & Na Wang & Shanping Wang, 2023. "Dynamic sustainability assessment of poverty alleviation in China: evidence from both novel non-convex global two-stage DEA and Malmquist productivity index," Operational Research, Springer, vol. 23(2), pages 1-40, June.
    5. Rossana Fulgenzi & Simone Gitto & Paolo Mancuso, 2024. "Information and communication technology and labour productivity growth: a production‐frontier approach," Annals of Operations Research, Springer, vol. 333(1), pages 123-156, February.
    6. Shuai Shao & Le Xu & Lili Yang & Dianfan Yu, 2025. "Effectiveness of production-oriented carbon reduction projects: evidence from the top 1000 energy-consuming enterprises program," Annals of Operations Research, Springer, vol. 355(1), pages 499-536, December.
    7. Frederic Ang & Stephen J. Ramsden, 2024. "Analysing determinate components of an approximated Luenberger–Hicks–Moorsteen productivity indicator: An application to German dairy‐processing firms," Agribusiness, John Wiley & Sons, Ltd., vol. 40(2), pages 349-370, April.
    8. Mergoni, Anna & Emrouznejad, Ali & De Witte, Kristof, 2025. "Fifty years of Data Envelopment Analysis," European Journal of Operational Research, Elsevier, vol. 326(3), pages 389-412.

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    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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