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Using COVID-19 mortality to select among hospital plant capacity models: An exploratory empirical application to Hubei province

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  • Kerstens, Kristiaan
  • Shen, Zhiyang

Abstract

This contribution defines short- and long-run output- and input-oriented plant capacity measures and evaluates them relative to convex and nonconvex technologies. By applying these different plant capacity concepts, the authors seek to measure the use of existing capacities, as well as the evolution and build-up of extra hospital capacity in the Chinese province of Hubei during the outbreak of the COVID-19 epidemic in early 2020. Furthermore, medical literature has established that mortality rates increase with high capacity utilization rates, an insight that this study leverages to select the most plausible of eight plant capacity concepts. The preliminary results indicate that a relatively new, input-oriented plant capacity concept correlates best with mortality.

Suggested Citation

  • Kerstens, Kristiaan & Shen, Zhiyang, 2021. "Using COVID-19 mortality to select among hospital plant capacity models: An exploratory empirical application to Hubei province," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
  • Handle: RePEc:eee:tefoso:v:166:y:2021:i:c:s0040162520313615
    DOI: 10.1016/j.techfore.2020.120535
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    Cited by:

    1. Song, Malin & Zhou, Wenzhuo & Upadhyay, Arvind & Shen, Zhiyang, 2023. "Evaluating hospital performance with plant capacity utilization and machine learning," Journal of Business Research, Elsevier, vol. 159(C).
    2. Kristiaan Kerstens & Jafar Sadeghi & Ignace Van de Woestyne & Linjia Zhang, 2022. "Malmquist productivity indices and plant capacity utilisation: new proposals and empirical application," Annals of Operations Research, Springer, vol. 315(1), pages 221-250, August.
    3. Huang, Chuanli & Wang, Min & Rafaqat, Warda & Shabbir, Salman & Lian, Liping & Zhang, Jun & Lo, Siuming & Song, Weiguo, 2022. "Data-driven test strategy for COVID-19 using machine learning: A study in Lahore, Pakistan," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    4. Kristiaan Kerstens & Jafar Sadeghi, 2021. "Plant Capacity Notions: Existence Results at Firm and Industry Levels," Working Papers 2021-EQM-04, IESEG School of Management.
    5. Kristiaan KERSTENS & Xiaoqing CHEN, 2022. "Evaluating Horizontal Mergers in Swedish District Courts Using Plant Capacity Concepts: With a Focus on Nonconvexity," Working Papers 2022-EQM-02, IESEG School of Management.

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