Please use this identifier to cite or link to this item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1184565
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dc.contributor.authorPAGLIUCA, L. G.
dc.contributor.authorCARRER, M. J.
dc.contributor.authorDAMASCENO, R.
dc.contributor.authorVINHOLIS, M. de M. B.
dc.date.accessioned2026-02-24T07:27:00Z-
dc.date.available2026-02-24T07:27:00Z-
dc.date.created2026-02-23
dc.date.issued2025
dc.identifier.citationIn: STAFFORD, J. V. (ed.) Precision Agriculture '25. Barcelona: Wageningen Academic, 2025. p. 1068-1074.
dc.identifier.isbn978-90-04-72523-2
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1184565-
dc.descriptionDespite extensive studies on the economics of digital technologies (DTs), such as feasibility and adoption, their impact on technical efficiency (TE) and productivity in crop production using large microdata sets remains unclear. TE refers to the relationship between the maximum attainable output and the observed farm output considering the same endowment of inputs and available production technology. This study fills this gap by evaluating the effects of DT adoption on TE and productivity of soybean farms in the state of São Paulo, Brazil. Microdata from 148 farms (2023–2024 crop season) were collected via structured questionnaire). Econometric models of stochastic production frontier were applied to investigate the effects of DT adoption on farm TE and productivity. The results show that yield maps and management software increase productivity and all four DTs (yield map, autopilot, drone and management software) reduced technical inefficiency, offering insights into the potential of DTs in improving managerial capability.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectManagerial capability
dc.subjectStochastic frontier analysis
dc.subjectTechnological impact
dc.titleThe impact of digital technologies on technical efficiency of soybean farms in São Paulo State, Brazil.
dc.typeParte de livro
dc.subject.thesagroSoja
dc.subject.thesagroAdoção de Inovações
dc.subject.thesagroFazenda
dc.subject.nalthesaurusInnovation adoption
dc.subject.nalthesaurusStochastic processes
dc.subject.nalthesaurusSoybeans
dc.description.notesPapers presented at the 15th European Conference on Precision Agriculture.
riaa.ainfo.id1184565
riaa.ainfo.lastupdate2026-02-23
dc.identifier.doihttps://doi.org/10.1163/9789004725232_140
dc.contributor.institutionLARISSA GUI PAGLIUCA, UNIVERSIDADE FEDERAL DE SÃO CARLOS; MARCELO JOSÉ CARRER, UNIVERSIDADE FEDERAL DE SÃO CARLOS; RODRIGO DAMASCENO, UNIVERSIDADE FEDERAL DE SÃO CARLOS; MARCELA DE MELLO BRANDAO VINHOLIS, CPPSE.
Appears in Collections:Capítulo em livro científico (CPPSE)

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