Assessing the economic impacts of IT service shutdown during the York flood of 2015 in the UK.

Autor:	Xia Y; Water Security Research Centre, School of International Development, University of East Anglia, Norwich NR4 7TJ, UK., Guan D; Water Security Research Centre, School of International Development, University of East Anglia, Norwich NR4 7TJ, UK.; Department of Earth System Sciences, Tsinghua University, Beijing 100080, People's Republic of China.; School of Management and Economics Beijing Institute of Technology, Beijing 100081, People's Republic of China., Steenge AE; Faculty of Economics and Business, University of Groningen, Nettelbosje 2, 9747 AE Groningen, The Netherlands., Dietzenbacher E; Faculty of Economics and Business, University of Groningen, Nettelbosje 2, 9747 AE Groningen, The Netherlands., Meng J; The Bartlett School of Construction and Project Management, University College London, London WC1E 7HB, UK., Mendoza Tinoco D; Economic Analysis Program of Mexico, Centre of Economic Studies, The Collage of Mexico, Mexico.
Jazyk:	angličtina
Zdroj:	Proceedings. Mathematical, physical, and engineering sciences [Proc Math Phys Eng Sci] 2019 Apr; Vol. 475 (2224), pp. 20180871. Date of Electronic Publication: 2019 Apr 17.
DOI:	10.1098/rspa.2018.0871
Abstrakt:	In this paper we focus on the 'Christmas' flood in York (UK), 2015. The case is special in the sense that little infrastructure was lost or damaged, while a single industry (IT services) was completely knocked out for a limited time. Due to these characteristics, the standard modelling techniques are no longer appropriate. An alternative option is provided by the Hypothetical Extraction Method, or HEM. However, there are restrictions in using the HEM, one being that no realistic substitutes exist for inputs from industries that were affected. In this paper we discuss these restrictions and show that the HEM performs well in the York flood case. In the empirical part of this paper we show that a three-day shutdown of the IT services caused a £3.24 m to £4.23 m loss in York, which is equivalent to 10% of the three days' average GVA (Gross Value Added) of York city. The services sector (excluding IT services) sustained the greatest loss at £0.80 m, where the business support industry which was predominantly hit. This study is the first to apply a HEM in this type of flood on a daily basis. Competing Interests: The authors declare that they have no conflict of interest.
Databáze:	MEDLINE
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