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Predicting EU orchard farmers' adoption intentions for pesticide-reducing innovations using an extended theory of planned behavior
| dc.contributor.author | Larvoe, Noah | |
| dc.contributor.author | Adzran Che Mustapa, Muhammad | |
| dc.contributor.author | de Herralde, Felicidad | |
| dc.contributor.author | Kallas, Zein | |
| dc.contributor.other | Producció Vegetal | ca |
| dc.date.accessioned | 2026-01-23T07:50:43Z | |
| dc.date.available | 2026-01-23T07:50:43Z | |
| dc.date.issued | 2025-10-31 | |
| dc.identifier.issn | 0261-2194 | ca |
| dc.identifier.uri | http://hdl.handle.net/20.500.12327/4972 | |
| dc.description.abstract | Reducing synthetic pesticide use is central to the EU Green Deal. However, with legislative progress stalled, farmers increasingly bear the responsibility for implementing pesticide reduction. This highlights the need to understand how decisions are made and what shapes farmers' intentions to adopt technologies that reduced pesticide use, particularly in orchard systems where pesticide dependence remains high despite the availability of promising alternatives. This study examines stakeholder roles in orchard pest management, identifies key drivers of farmers’ adoption intentions, and develops a tool to predict adoption likelihood. A mixed-methods approach was applied, combining expert interviews (n = 16) and a structured survey of orchard farmers (n = 354). We extended the Theory of Planned Behavior (TPB) by incorporating three additional constructs: perceived cost, relative advantage of current practices, and perceived ease of use, all based on established behavioral theories. Results show that decision-making involves multiple stakeholders and is influenced by factors such as farm size, ownership structure, and external pressures. Meanwhile, structural equation modeling shows that attitudes and perceived ease of use significantly boost adoption intentions. In contrast, perceived cost and the relative advantage of current practices serve as barriers. Subjective norms and perceived behavioral control were not significant predictors. Based on these findings, a web-based adoption intention predictive tool was developed to support stakeholders in assessing adoption likelihood. The study offers practical insights for reducing adoption barriers, strengthening positive attitudes toward innovation, and supporting sustainable pest management in orchard systems. | ca |
| dc.description.sponsorship | This study was supported by the NOVATERRA project under the research grant agreement number: 101000554. The NOVATERRA project has received funding from the European Union's Horizon 2020. We sincerely appreciate the valuable administrative and technical support provided by Cristina Poyato Santiago and Filippo Alfonso Baldaro to the NOVATERRA project. | |
| dc.format.extent | 15 | ca |
| dc.language.iso | eng | ca |
| dc.publisher | Elsevier | ca |
| dc.relation.ispartof | Crop Protection | ca |
| dc.rights | Attribution 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.title | Predicting EU orchard farmers' adoption intentions for pesticide-reducing innovations using an extended theory of planned behavior | ca |
| dc.type | info:eu-repo/semantics/article | ca |
| dc.description.version | info:eu-repo/semantics/publishedVersion | ca |
| dc.rights.accessLevel | info:eu-repo/semantics/openAccess | |
| dc.embargo.terms | cap | ca |
| dc.relation.projectID | EC/H2020/101000554/EU/Integrated novel strategies for reducing the use and impact of pesticides, towards sustainable mediterranean vineyards and olive groves/NOVATERRA | ca |
| dc.subject.udc | 631/635 | ca |
| dc.identifier.doi | https://doi.org/10.1016/j.cropro.2025.107460 | ca |
| dc.contributor.group | Fructicultura | ca |
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