Efficiency Evaluation of Regions’ Firefighting Measures by Data Envelopment Analysis
Fuad Aleskerov and
Sergey Demin ()
Additional contact information
Sergey Demin: National Research University Higher School of Economics, Institute of Control Sciences of Russian Academy of Sciences
A chapter in Handbook for Management of Threats, 2023, pp 257-266 from Springer
Abstract:
Abstract Russia suffers from wildfires each year in spite of regions’ efforts. Only some regions manage to cope with these disasters. Data Envelopment Analysis is used for the comparison of different regions and highlighting benchmarks. However, the data about the Russian wildfires and expenditures on firefighting measures have only approximate values. Therefore, we apply modern interval modifications of Data Envelopment Analysis for efficiency assessment of Russian regions.
Keywords: Data envelopment analysis; Firefighting measures; Efficiency evaluation; Interval data (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
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:spr:spochp:978-3-031-39542-0_12
Ordering information: This item can be ordered from
http://www.springer.com/9783031395420
DOI: 10.1007/978-3-031-39542-0_12
Access Statistics for this chapter
More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().