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Analysis of influence of natural disaster on the economy and prediction of recovery time based on grey forecasting–difference comparison model: a case study in the upper Min River

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  • Cheng Miao

    (Sun Yat-sen University
    Southwest University of Science and Technology)

  • Mingtao Ding

    (Southwest University of Science and Technology)

Abstract

After the 2008 Wenchuan earthquake, secondary geological disasters occurred frequently and caused huge economic losses in the upper reaches of Min River. In this paper, 2003–2012 GDP data of the upper Min River were divided into two states: no disaster (2003–2007) and disaster (2008–2012). With the support of Excel and Matlab7.0 software, the data were, respectively, used to construct no disaster GM (1,1) model and disaster GM (1,1) model. Then two forecasting models were compared to establish grey forecasting–difference comparison model on the regional economic effects of natural disasters (including Wenchuan earthquake and secondary mountain hazards) and presumably analysed the influence degree and its recovery. Conclusions are drawn as follows: (1) The variation of 2003–2012 GDP in the upper reaches of Min River is shown as inclined “N”, so regional economy is affected by natural disasters significantly; (2) Using non-disaster or disaster of grey forecasting model to speculate 2008–2012 GDP and test c, p value, the results show the “good” rating that indicates the model can be used for pcrct rediction of regional GDP; (3) It obtains the I value from using grey forecasting-difference comparison model that shows a irregular “几” font variation around the 2008 year; (4) The development of natural disasters has different effects on regional economic recovery. The upper reaches of Min River can be restored to the level of non-disaster in 2014–2015. And the recovery time of these counties is that:Wenchuan County in 2015–2016, Li County in 2011–2012, Mao County in 2020–2021, Songpan Country in 2015–2016, Heishui County cannot be restored. The research results can serve as a guide and reference for the post-disaster of the regional social and economic development, overall planning and sustainability.

Suggested Citation

  • Cheng Miao & Mingtao Ding, 2017. "Analysis of influence of natural disaster on the economy and prediction of recovery time based on grey forecasting–difference comparison model: a case study in the upper Min River," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(2), pages 1135-1150, January.
    • Handle: RePEc:spr:nathaz:v:85:y:2017:i:2:d:10.1007_s11069-016-2625-1
    DOI: 10.1007/s11069-016-2625-1
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    References listed on IDEAS

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    1. Noy, Ilan & Vu, Tam Bang, 2010. "The economics of natural disasters in a developing country: The case of Vietnam," Journal of Asian Economics, Elsevier, vol. 21(4), pages 345-354, August.
    2. Loayza, Norman V. & Olaberría, Eduardo & Rigolini, Jamele & Christiaensen, Luc, 2012. "Natural Disasters and Growth: Going Beyond the Averages," World Development, Elsevier, vol. 40(7), pages 1317-1336.
    3. Martin Heger & Alex Julca & Oliver Paddison, 2008. "Analysing the Impact of Natural Hazards in Small Economies: The Caribbean Case," WIDER Working Paper Series RP2008-25, World Institute for Development Economic Research (UNU-WIDER).
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    Cited by:

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    3. Jun Zhang & Li Cheng, 2019. "Threshold Effect of Tourism Development on Economic Growth Following a Disaster Shock: Evidence from the Wenchuan Earthquake, P.R. China," Sustainability, MDPI, vol. 11(2), pages 1-22, January.
    4. Altay, Nezih & Narayanan, Arunachalam, 2022. "Forecasting in humanitarian operations: Literature review and research needs," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1234-1244.

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