2020
DOI: 10.1108/afr-11-2019-0121
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Duration analyses of precision agriculture technology adoption: what's influencing farmers' time-to-adoption decisions?

Abstract: PurposePrecision technologies have been available at the farm level for decades. Some technologies have been readily adopted, while the adoption of other technologies has been slower. The purpose of this study is to examine the factors influencing farmers' time-to-adoption decisions as duration between year of commercialization of precision agriculture (PA) technologies and year of adoption, at the farm level.Design/methodology/approachTime-to-adoption, which is the difference in years between technologies bec… Show more

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Cited by 32 publications
(33 citation statements)
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“…Extensions of binary variable models, such as multivariable probit/logit and multinomial logit, are used to capture the adoption complementarities between multiple technologies (Kassie et al 2015;Wainaina et al 2016). Duration models are used, although rarely, to capture the temporal dimension of adoption (Matuschke and Qaim 2008;Ofori et al 2020). Irrespective of the model selection, when an adoption study frames its research questions in order to fit the available econometric framework, most of the contextual information is lost in the process, and the study fails to contribute effectively toward policy development.…”
Section: Introductionmentioning
confidence: 99%
“…Extensions of binary variable models, such as multivariable probit/logit and multinomial logit, are used to capture the adoption complementarities between multiple technologies (Kassie et al 2015;Wainaina et al 2016). Duration models are used, although rarely, to capture the temporal dimension of adoption (Matuschke and Qaim 2008;Ofori et al 2020). Irrespective of the model selection, when an adoption study frames its research questions in order to fit the available econometric framework, most of the contextual information is lost in the process, and the study fails to contribute effectively toward policy development.…”
Section: Introductionmentioning
confidence: 99%
“…A broad literature review investigated the barriers to adoption, including farm(er) characteristics, such as a lack of knowledge and/or financial means, incompatible equipment or small plot sizes that reduce the financial attractiveness of the technology for the farmers [13,14]. Nonetheless, apart from studies on precision farming in the United States of America [15][16][17][18][19][20][21][22][23][24], there is only little evidence for the barriers and drivers of the adoption of precision farming technologies in Europe. The few studies that are available are using observations from Germany and Denmark [11,12,[25][26][27], the Netherlands, France, Switzerland, Italy [28,29] and Hungary [30].…”
Section: Introductionmentioning
confidence: 99%
“…We employed survival or duration models, which originated in the field of medicine for analyzing the survival of patients after specific diseases and treatments (Kaplan and Meier 1958 ) and were later used in other disciplines, such as agricultural economics, to study the adoption of agricultural innovations, such as improved varieties (Fuglie and Kascak 2001 ; Burton et al 2003 ; Dadi et al 2004 ; Matuschke and Qaim 2009 ; Alcon et al 2011 ; Oostendorp and Zaal 2012 ; Beyene and Kassie 2015 ; Nazli and Smale 2016 ; Ray and Maredia 2016 ; Lemessa et al 2019 ; Ofori et al 2020 ).…”
Section: Methodsmentioning
confidence: 99%