A new mathematical model to determine loss in interconnected industry systems

Article


Nejad, Seyed Abdelhamid Shobeiri, Tularam, Gurudeo Anand and McBroom, James. 2014. "A new mathematical model to determine loss in interconnected industry systems." European Journal of Business and Social Sciences. 2 (10), pp. 33-62.
Article Title

A new mathematical model to determine loss in interconnected industry systems

Article CategoryArticle
AuthorsNejad, Seyed Abdelhamid Shobeiri, Tularam, Gurudeo Anand and McBroom, James
Journal TitleEuropean Journal of Business and Social Sciences
Journal Citation2 (10), pp. 33-62
Number of Pages30
Year2014
PublisherEuropean Society of Business and Social Sciences
Place of PublicationSwitzerland
ISSN2235-767X
Abstract

In this paper, the terms disaster is conceptualised and explained as an event or a group of events with the corresponding outcomes. An event is described in detail by its severity and size. The corresponding numerical outcome of the event is redefined by magnitude of damage. The damage may be categorised as physical, social, and psychological and the consequential aspect of damage may be shown as the economic loss. The loss can be the output degradation of one industry of the economy. The relationships between the various aspects of the damage mentioned are clarified in this paper. The outputdegradation may spread to other industries in an economy through the interaction linkages between the affected industry and other industries. In this paper, a new mathematical model is developed based on the input-output model. The model can measure the economic loss via interconnected linkage and the parameters of the model are estimated by three innovative methods. The stability, limitation, and application of the model are also discussed and the event size distribution is considered as an additional random factor. Therefore a random distribution is linked to the model and the model is tested with a numerical example.

Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020380203. Economic models and forecasting
Public Notes

Files associated with this item cannot be displayed due to copyright restrictions.

Byline AffiliationsGriffith University
Permalink -

https://research.usq.edu.au/item/yzy7x/a-new-mathematical-model-to-determine-loss-in-interconnected-industry-systems

  • 32
    total views
  • 0
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as

Related outputs

Comprehensive analysis of little leaf disease incidence and resistance in eggplant
Muthusamy, Muthusamy, Yogiraj, Gawande Priya, Elaiyabharath, Thiyagarajan, Jesu, Bonipas Antony John, Johnson, Iruthayasamy, Jaffer, Shajith Basha, Dhanabalan, Shanmuga Priya, Boopathi, Narayanan Manikanda, Marimuthu, Subbaiyan, Shobeiri Nejad, Hamid, Adorada, Dante L. and Periyannan, Sambasivam. 2024. "Comprehensive analysis of little leaf disease incidence and resistance in eggplant." BMC Plant Biology. 24, p. 576. https://doi.org/10.1186/s12870-024-05257-4
In vitro screening of topical formulation excipients for epithelial toxicity in cancerous and non-cancerous cell lines
Forouz, Farzaneh, Mohammed, Yousuf, Shobeiri Nejad, Hamid S. A., Roberts, Michael S. and Grice, Jeffrey E.. 2023. "In vitro screening of topical formulation excipients for epithelial toxicity in cancerous and non-cancerous cell lines ." EXCLI journal . 22, pp. 1173-1199. https://doi.org/10.17179/excli2023-6072
Developing a fault prediction model for wired copper networks under precipitation.
Moghaddam, Mahboobeh, Nejad, Hamid Shobeiri, Mesbah, Mahmoud and Hickman, Mark. 2018. "Developing a fault prediction model for wired copper networks under precipitation." International Journal of Critical Infrastructures. 14 (3), pp. 268-293. https://doi.org/10.1504/IJCIS.2018.094412
Modeling tourist arrivals using time series analysis: Evidence from Australia
Tularam, Gurudeo Anand, Wong, Victor Siew Howe and Nejad, Seyed Abdelhamid Shobeiri. 2012. "Modeling tourist arrivals using time series analysis: Evidence from Australia." Journal of Mathematics and Statistics. 8 (3), pp. 348-360. https://doi.org/10.3844/jmssp.2012.348.360
Modeling Tourist Arrivals in Destination Countries: An Application to Australian Tourism
Shobeiri Nejad, S. A.H. and Tularam, Gurudeo Anand. 2010. "Modeling Tourist Arrivals in Destination Countries: An Application to Australian Tourism." Journal of Mathematics and Statistics. 6 (4), pp. 431-441. https://doi.org/10.3844/jmssp.2010.431.441