Factors Affecting Farmers’ Adoption of Flood Adaptation Strategies Using Structural Equation Modeling

Floods are a frequent disaster in Bangladesh, and farmers are the most at risk. Understanding how to improve the farmers’ flood adaption is important to reduce flood effects. Protection motivation theory (PMT) has been widely used to examine flood adaptation behavior, but there is still debate regar...

Full description

Bibliographic Details
Main Authors: Md Omar Faruk, Keshav Lall Maharjan
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/14/19/3080
_version_ 1797476465512546304
author Md Omar Faruk
Keshav Lall Maharjan
author_facet Md Omar Faruk
Keshav Lall Maharjan
author_sort Md Omar Faruk
collection DOAJ
description Floods are a frequent disaster in Bangladesh, and farmers are the most at risk. Understanding how to improve the farmers’ flood adaption is important to reduce flood effects. Protection motivation theory (PMT) has been widely used to examine flood adaptation behavior, but there is still debate regarding the quantitative effect of PMT factors on flood adaption behavior, particularly in a geographically vulnerable context. This study integrates psychological aspects based on PMT to assess farmers’ flood adaptability. A cross-sectional survey was conducted to collect data from 359 farmers. We employed structural equation modeling to test a PMT model with mediation analysis. The results showed that farmers who perceive a higher flood risk and feel more fear of floods are more likely to implement flood adaptation measures. Similarly, farmers adopt more adaptive actions if they have higher self-efficacy and response efficacy. However, they are less likely to take adaptive actions if they are subject to maladaptation. Maladaptation plays a significant role as a mediating variable. These findings will act as recommendations for government agencies to design policy measures to strengthen flood risk management. The study supports the theory of protection motivation to understand farmers’ flood adaptation behavior. However, further study is required to enhance and generalize the existing model.
first_indexed 2024-03-09T20:58:13Z
format Article
id doaj.art-3ea9adf81773492fa35d75ed250366d3
institution Directory Open Access Journal
issn 2073-4441
language English
last_indexed 2024-03-09T20:58:13Z
publishDate 2022-09-01
publisher MDPI AG
record_format Article
series Water
spelling doaj.art-3ea9adf81773492fa35d75ed250366d32023-11-23T22:15:26ZengMDPI AGWater2073-44412022-09-011419308010.3390/w14193080Factors Affecting Farmers’ Adoption of Flood Adaptation Strategies Using Structural Equation ModelingMd Omar Faruk0Keshav Lall Maharjan1International Economic Development Program, Graduate School of Humanities and Social Sciences, Hiroshima University, Higashi-Hiroshima 739-8529, JapanInternational Economic Development Program, Graduate School of Humanities and Social Sciences, Hiroshima University, Higashi-Hiroshima 739-8529, JapanFloods are a frequent disaster in Bangladesh, and farmers are the most at risk. Understanding how to improve the farmers’ flood adaption is important to reduce flood effects. Protection motivation theory (PMT) has been widely used to examine flood adaptation behavior, but there is still debate regarding the quantitative effect of PMT factors on flood adaption behavior, particularly in a geographically vulnerable context. This study integrates psychological aspects based on PMT to assess farmers’ flood adaptability. A cross-sectional survey was conducted to collect data from 359 farmers. We employed structural equation modeling to test a PMT model with mediation analysis. The results showed that farmers who perceive a higher flood risk and feel more fear of floods are more likely to implement flood adaptation measures. Similarly, farmers adopt more adaptive actions if they have higher self-efficacy and response efficacy. However, they are less likely to take adaptive actions if they are subject to maladaptation. Maladaptation plays a significant role as a mediating variable. These findings will act as recommendations for government agencies to design policy measures to strengthen flood risk management. The study supports the theory of protection motivation to understand farmers’ flood adaptation behavior. However, further study is required to enhance and generalize the existing model.https://www.mdpi.com/2073-4441/14/19/3080farmersflood adaptation strategiesprotection motivation theorystructural equation modeling
spellingShingle Md Omar Faruk
Keshav Lall Maharjan
Factors Affecting Farmers’ Adoption of Flood Adaptation Strategies Using Structural Equation Modeling
Water
farmers
flood adaptation strategies
protection motivation theory
structural equation modeling
title Factors Affecting Farmers’ Adoption of Flood Adaptation Strategies Using Structural Equation Modeling
title_full Factors Affecting Farmers’ Adoption of Flood Adaptation Strategies Using Structural Equation Modeling
title_fullStr Factors Affecting Farmers’ Adoption of Flood Adaptation Strategies Using Structural Equation Modeling
title_full_unstemmed Factors Affecting Farmers’ Adoption of Flood Adaptation Strategies Using Structural Equation Modeling
title_short Factors Affecting Farmers’ Adoption of Flood Adaptation Strategies Using Structural Equation Modeling
title_sort factors affecting farmers adoption of flood adaptation strategies using structural equation modeling
topic farmers
flood adaptation strategies
protection motivation theory
structural equation modeling
url https://www.mdpi.com/2073-4441/14/19/3080
work_keys_str_mv AT mdomarfaruk factorsaffectingfarmersadoptionoffloodadaptationstrategiesusingstructuralequationmodeling
AT keshavlallmaharjan factorsaffectingfarmersadoptionoffloodadaptationstrategiesusingstructuralequationmodeling