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Malaysia’s 2014 unprecedented flood catastrophe: A semi parametric estimation of evacuation decisions

Soon, Jan Jan and Kamaruddin, Roslina and Anuar, Abdul Rahim (2016) Malaysia’s 2014 unprecedented flood catastrophe: A semi parametric estimation of evacuation decisions. In: International Conference on Government & Public Affairs 2016 (ICOGPA2016), October 5th - 6th, 2016, School of Government, Universiti Utara Malaysia (UUM), Sintok Kedah, Malaysia.

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In December 2014, Malaysia experienced its worst unprecedented flood catastrophe.This paper looks at the victims’ evacuation decisions of that flood. This paper is unique because previous papers on Malaysian flood-related disasters are only confined to floods of regular or typical scales.This paper is also unique because it uses a semi parametric estimation approach to obtain the marginal impact of the variables of interest on evacuation decisions. This way, there are less distributional assumptions on the error term, and the estimation results would be more robust.Among some of the important findings from the estimations, we find that: (i) victims who have participated in flood awareness programmers are less likely to evacuate to evacuation centers, (ii) victims who are instructed to evacuate are 5 times likelier to do so, (iii) victims with tertiary education are also less likely to evacuate, (iv) larger households are likelier to evacuate, and (v) the further away victims’ homes are from the evacuation centers the likelier they are to evacuate.These findings, some which may seem counter intuitive, are discussed in the conclusion and policy implication section of the paper.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN 978-983-44661
Uncontrolled Keywords: evacuation decision, flood, disaster management, semiparametric estimation
Subjects: G Geography. Anthropology. Recreation > GB Physical geography
Divisions: School of Economics, Finance & Banking
Depositing User: Dr. Soon Jan Jan
Date Deposited: 15 Nov 2016 06:45
Last Modified: 15 Nov 2016 06:45

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