EconPapers    
Economics at your fingertips  
 

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

Kristiaan Kerstens () and Zhiyang Shen ()

Technological Forecasting and Social Change, 2021, vol. 166, issue C

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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162520313615
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Using COVID-19 mortality to select among hospital plant capacity models: An exploratory empirical application to Hubei province (2021)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:166:y:2021:i:c:s0040162520313615

DOI: 10.1016/j.techfore.2020.120535

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2021-10-12
Handle: RePEc:eee:tefoso:v:166:y:2021:i:c:s0040162520313615