Determinants of Rural Households’ Intensity of Flood Adaptation in the Fogera Rice Plain, Ethiopia: Evidence from Generalised Poisson Regression

Kennedy Ndue (), Melese Mulu Baylie and Pál Goda
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Kennedy Ndue: Doctoral School of Regional and Business Administration Sciences, Széchenyi István University, 9026 Győr, Hungary
Melese Mulu Baylie: Department of Economics, Debre Tabor University, Debre Tabor 272, Ethiopia
Pál Goda: Doctoral School of Regional and Business Administration Sciences, Széchenyi István University, 9026 Győr, Hungary

Sustainability, 2023, vol. 15, issue 14, 1-19

Abstract: Effective adaptation to flooding risk depends on careful identification and combinations of strategies which, in turn, depends on knowledge of the determinants of flood adaptation. The main objective of this study was to examine the determinants of rural households’ intensity of flood adaptation in the Fogera rice plain, Ethiopia. A three-stage stratified sampling technique was employed to select 337 sample household heads. Primary data was collected through a structured household survey. Data analysis was accompanied by a descriptive and generalised Poisson regression (GP) model. The descriptive analysis showed that households adopted an average of three (3) flood adaptation strategies. The generalised Poisson regression further revealed that family size, availability of off-farm income, previous flood experience, access to credit, access to extension services, and an early warning information system statistically significantly increase flood adaptation strategies’ average number (intensity). However, the age of the household head negatively and significantly influences the intensity of flood adaptation. More specifically, households with off-farm income, previous flood experience, access to credit, access to extension, and an early warning information system were 20%, 94%, 13%, 30%, and 29% more likely to adopt more flood adaptation strategies, respectively. The findings call for immediate response and coordination among stakeholders to design strategies that enhance households’ livelihood, access to credit, access to extension services, and early warning information systems for effective flood adaptation in the study area.

Keywords: flooding; adaptation strategies; generalized Poisson regression; Fogera rice plain; Ethiopia (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (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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