期刊
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
卷 67, 期 6, 页码 847-857出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/02626667.2022.2058877
关键词
Bayesian belief networks; irrigation; behaviour modelling; India
资金
- Solidaridad Network Asia Limited (SNAL)
- Rijksdienst voor Ondernemend Nederland
Psychological frameworks are rarely used to understand irrigation adoption behavior in developing countries. This study developed a Bayesian belief network model that integrated socio-economic characteristics and psychological factors to understand farmer behaviors with respect to irrigation practices in four districts of Maharashtra, India.
Psychological frameworks are rarely used to understand irrigation adoption behaviour in developing countries. A Bayesian belief network (BBN) model was developed that integrated socio-economic characteristics and psychological factors to understand farmer behaviours with respect to irrigation practices in four districts of Maharashtra, India. Strong norms, risk perceptions of water scarcity, and attitude play roles in the adoption of irrigation technology and practices. Critically, it was found that no one factor can explain adoption behaviour; rather, an ensemble of factors is needed to understand farmer behaviour. A farmer who is highly educated, middle-aged, and moderately wealthy with a significant level of family help and an open well as their main water source, while receiving low promotional information related to water scarcity and irrigation adoption, is most likely to adopt irrigation technology. The application of the BBN in this study enables stakeholders and policymakers to better understand the linkages between different factors and behaviour.
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