Household Flood Severity and Migration Extent in Central Java: Analysis of the Indonesian Family Life Survey

Breanne K. Langlois (), Leah Beaulac, Katherine Berry, Oyedolapo Anyanwu, Ryan B. Simpson, Aris Ismanto, Magaly Koch, Erin Coughlan de Perez, Timothy Griffin and Elena N. Naumova
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Breanne K. Langlois: Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA
Leah Beaulac: Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA
Katherine Berry: Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA
Oyedolapo Anyanwu: Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA
Ryan B. Simpson: Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA
Aris Ismanto: Department of Oceanography, Faculty of Fisheries and Marine Science, Universitas Diponegoro, Semarang 50275, Indonesia
Magaly Koch: Center for Remote Sensing, Department of Earth & Environment, Boston University, Boston, MA 02215, USA
Erin Coughlan de Perez: Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA
Timothy Griffin: Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA
Elena N. Naumova: Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA

IJERPH, 2023, vol. 20, issue 9, 1-12

Abstract: Central Java, Indonesia, is prone to river and coastal flooding due to climate changes and geological factors. Migration is one possible adaptation to flooding, but research is limited due to lack of longitudinal spatially granular datasets on migration and metrics to identify flood-affected households. The available literature indicates social and economic barriers may limit mobility from flood prone areas. The Indonesian Family Life Survey (IFLS) provides self-reported data on household experiences with natural disasters among 1501 Central Java households followed over two waves (2007 and 2014). We examined how the severity of flooding, defined by household-level impacts captured by the IFLS (death, injury, financial loss, or relocation of a household member), influenced the extent of household movement in Central Java using a generalized ordered logit/partial proportional odds model. Households severely impacted by floods had 75% lower odds of moving farther away compared to those that did not experience floods. The most severely impacted households may be staying within flood-affected areas in Central Java. Public health, nutrition, and economic surveys should include modules focused on household experiences, impacts, and adaptations to facilitate the study of how climate changes are impacting these outcomes.

Keywords: flooding; disasters; climate change; migration; adaptation; vulnerability (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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