Recurrent Flooding and Household Food Access in Central Java, Indonesia

Breanne K. Langlois (), Aris Ismanto, Leah Beaulac, Katherine Berry, Magaly Koch, Timothy Griffin, Erin Coughlan de Perez and Elena N. Naumova
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Breanne K. Langlois: 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
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
Magaly Koch: Center for Remote Sensing, Boston University, Boston, MA 02215, USA
Timothy Griffin: Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA 02111, USA
Erin Coughlan de Perez: 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, 2024, vol. 21, issue 10, 1-14

Abstract: It is unknown how recurring flooding impacts household diet in Central Java. We aimed to assess how recurrent flooding influenced household food access over 22 years in Central Java by linking the Global Surface Water dataset (GSW) to the Indonesian Family Life Survey. We examined linear and nonlinear relationships and joint effects with indicators of adaptive capacity. We measured recurrent flooding as the fraction of district raster cells with episodic flooding from 1984–2015 using GSW. Food access outcomes were household food expenditure share (FES) and dietary diversity score (DDS). We fit generalized linear mixed models and random forest regression models. We detected joint effects with flooding and adaptive capacity. Wealth and access to credit were associated with improved FES and DDS. The effect of wealth on FES was stronger in households in more flood-affected districts, while access to credit was associated with reduced odds of DDS in more flood-affected districts. Flooding had more predictive importance for FES than for DDS. Access to credit, a factor that ordinarily improves food access, may not be effective in flood-prone areas. Wealthier households may be better able to adapt in terms of food access. Future research should incorporate land use data to understand how different locales are affected and further understand the complexity of these relationships.

Keywords: flood; Indonesia; natural disasters; extreme events; data usability; food security; nutrition security; food access; diet diversity; climate and environmental change (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2024
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