A Path Model of the Intention to Adopt Variable Rate Irrigation in Northeast Italy
Maurizio Canavari,
Marco Medici,
Rungsaran Wongprawmas,
Vilma Xhakollari and
Silvia Russo
Additional contact information
Marco Medici: Department of Agricultural and Food Sciences, University of Bologna, 40127 Bologna, Italy
Vilma Xhakollari: Department of Agricultural and Food Sciences, University of Bologna, 40127 Bologna, Italy
Silvia Russo: Department of Agricultural and Food Sciences, University of Bologna, 40127 Bologna, Italy
Sustainability, 2021, vol. 13, issue 4, 1-12
Abstract:
Irrigated agriculture determines large blue water withdrawals, and it is considered a key intervention area to reach sustainable development objectives. Precision agriculture technologies have the potential to mitigate water resource depletion that often characterises conventional agricultural approaches. This study investigates the factors influencing farmers’ intentions to adopt variable rate irrigation (VRI) technology. The Technology Acceptance Model 3 (TAM-3) was employed as a theoretical framework to design a survey to identify the factors influencing farmers’ decision-making process when adopting VRI. Data were gathered through quantitative face-to-face interviews with a sample of 138 fruit and grapevine producers from the Northeast of Italy (Veneto, Emilia-Romagna, Trentino-Alto Adige, Friuli-Venezia Giulia). Data were analysed using partial least squares path modelling (PLS-PM). The results highlight that personal attitudes, such as perceived usefulness and subjective norm, positively influence the intention to adopt VRI. Additionally, the perceived ease of use positively affects intention, but it is moderated by subject experience.
Keywords: precision agriculture; intention to adopt a technology; attitudes towards the use of technology; technology acceptance model; variable rate irrigation; fruit production; grapevine production (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:4:p:1879-:d:496460
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