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

  • Kristiaan Kerstens
  • , Zhiyang Shen*
  • *Corresponding author for this work
  • Université de Lille
  • Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

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.

Original languageEnglish
Article number120535
JournalTechnological Forecasting and Social Change
Volume166
DOIs
Publication statusPublished - May 2021

Keywords

  • Data envelopment analysis
  • Efficiency
  • Free disposal hull
  • Mortality
  • Plant capacity utilization

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