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

Kristiaan Kerstens and Zhiyang Shen

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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.

Keywords: Data envelopment analysis; Free disposal hull; Efficiency; Plant capacity utilization; Mortality (search for similar items in EconPapers)
Date: 2021-05
New Economics Papers: this item is included in nep-eff and nep-hea
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Citations: View citations in EconPapers (5)

Published in Technological Forecasting and Social Change, 2021, 166, pp.120535. ⟨10.1016/j.techfore.2020.120535⟩

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Journal Article: Using COVID-19 mortality to select among hospital plant capacity models: An exploratory empirical application to Hubei province (2021)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03130063

DOI: 10.1016/j.techfore.2020.120535

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