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Measuring Productive Performance using Binary and Ordinal Output variables: The Case of the Swedish Fire and Rescue Services
Karlstad University, Faculty of Economic Sciences, Communication and IT, Department of Economics and Statistics. Karlstad University, Faculty of Arts and Social Sciences (starting 2013).ORCID iD: 0000-0002-9667-2260
(English)In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588XArticle in journal (Refereed) Epub ahead of print
Abstract [en]

Fire protection is an example of a complex production process. This study measures efficiency by constructing binary and ordinal output variables from information on residential fires in Sweden about how a fire spreads from when the fire and rescue brigade arrives to when a fire is suppressed. The motivations behind this study are that there are only a few studies trying to estimate production efficiency for fire and rescue services, that data on a more detailed level is interesting for some public services, and there is a need to be able to measure efficiency differences even if only a binary or ordinal output variable is available. Using a logit random parameter model, the random effects are interpreted as efficiency differences. The conclusions are that fire and rescue services with a more flexible fire organisation with first response persons, working in collaboration with other municipalities and with larger populations are more efficient.

Place, publisher, year, edition, pages
Taylor & Francis.
Keywords [en]
qualitative output, efficiency, productivity, logit parameter model, fire departments
National Category
Economics Public Administration Studies Environmental Management Building Technologies
Research subject
Economics
Identifiers
URN: urn:nbn:se:kau:diva-68104DOI: 10.1080/00207543.2018.1489159OAI: oai:DiVA.org:kau-68104DiVA, id: diva2:1224160
Available from: 2018-06-26 Created: 2018-06-26 Last updated: 2018-06-27Bibliographically approved

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Publisher's full texthttp://dx.doi.org/10.1080/00207543.2018.1489159

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Jaldell, Henrik

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Department of Economics and StatisticsFaculty of Arts and Social Sciences (starting 2013)
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  • en-US
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  • nn-NB
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  • Other locale
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Output format
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