TY - JOUR
T1 - Behavioral and socio-economic factors controlling irrigation adoption in Maharashtra, India
AU - Hatch, Nathan R.
AU - Daniel, D.
AU - Pande, Saket
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Bayesian belief networks
KW - behaviour modelling
KW - India
KW - irrigation
UR - http://www.scopus.com/inward/record.url?scp=85129855019&partnerID=8YFLogxK
U2 - 10.1080/02626667.2022.2058877
DO - 10.1080/02626667.2022.2058877
M3 - Article
AN - SCOPUS:85129855019
SN - 0262-6667
VL - 67
SP - 847
EP - 857
JO - Hydrological Sciences Journal
JF - Hydrological Sciences Journal
IS - 6
ER -