@inproceedings{2483d0ed9d004d3683753624e9cf7d07,
title = "Spatial Durbin model analysis macroeconomic loss due to natural disasters",
abstract = "Magnitude of the damage and losses caused by natural disasters is huge for Indonesia, therefore this study aimed to analyze the effects of natural disasters for macroeconomic losses that occurred in 115 cities/districts across Java during 2012. Based on the results of previous studies it is suspected that it contains effects of spatial dependencies in this case, so that the completion of this case is performed using a regression approach to the area, namely Analysis of Spatial Durbin Model (SDM). The obtained significant predictor variable is population, and predictor variable with a significant weighting is the number of occurrences of disasters, i.e., disasters in the region which have an impact on other neighboring regions. Moran's I index value using the weighted Queen Contiguity also showed significant results, meaning that the incidence of disasters in the region will decrease the value of GDP in other.",
keywords = "Disaster, Macro economic, Spatial Durbin Model",
author = "Kusrini, {D. E.} and Mukhtasor",
note = "Publisher Copyright: {\textcopyright} 2015 AIP Publishing LLC.; 2nd International Symposium on Biomathematics, SYMOMATH 2014 ; Conference date: 31-08-2014 Through 02-09-2014",
year = "2015",
doi = "10.1063/1.4914437",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
pages = "86--93",
editor = "Thomas Gotz and Agus Suryanto",
booktitle = "Symposium on Biomathematics, SYMOMATH 2014",
}