The adoption of precision agriculture technologies among CREA’s members

The objective of this work is to study the factors affecting the adoption of technologies for precision agriculture. Precision agriculture (PA) is based on a set of methods and processes that uses digital and electronic technologies that allow the design and implementation of tailored strategies for...

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Autores principales:	Lachman, Jeremias, Gómez-Roca, Sebastián, López, Andrés
Formato:	Artículo publishedVersion
Lenguaje:	Español
Publicado:	Instituto Interdisciplinario de Economía Política (IIEP UBA-CONICET) 2023
Materias:	Difusión de tecnologías Agricultura de Precisión Argentina Technology diffusion Precision farming
Acceso en línea:	https://ojs.economicas.uba.ar/DT-IIEP/article/view/2655 https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=dociiep&d=2655_oai
Aporte de:	Repositorio Digital de la Universidad de Buenos Aires (UBA) de Universidad de Buenos Aires

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institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-145
collection	Repositorio Digital de la Universidad de Buenos Aires (UBA)
language	Español
orig_language_str_mv	spa
topic	Difusión de tecnologías Agricultura de Precisión Argentina Technology diffusion Precision farming Argentina
spellingShingle	Difusión de tecnologías Agricultura de Precisión Argentina Technology diffusion Precision farming Argentina Lachman, Jeremias Gómez-Roca, Sebastián López, Andrés The adoption of precision agriculture technologies among CREA’s members
topic_facet	Difusión de tecnologías Agricultura de Precisión Argentina Technology diffusion Precision farming Argentina
description	The objective of this work is to study the factors affecting the adoption of technologies for precision agriculture. Precision agriculture (PA) is based on a set of methods and processes that uses digital and electronic technologies that allow the design and implementation of tailored strategies for the various microenvironments that coexist in a field. These technologies allow producers to identify the environmental heterogeneity within an area, for then to apply a "productive recipe" adapted to those various microenvironments (e. g., thus varying the planting density, the application of fertilizers, the selective application of herbicides, etc.). Even though these new technologies have been on the market for some years, their diffusion process is far from massive, both locally and internationally. In this paper, we use data from the CREA -a private organization of agricultural producers- 2019 Census and use different econometric models to identify the main factors affecting the diffusion process of PA technologies. The results show that producers' structural characteristics (e. g., size of the agricultural area and land tenure regime) and human capital (e. g., owner's level of education) affect the adoption process. Additionally, we identified that the access to external sources of information (e. g., through the hiring of advisers), the relevance assigned to sustainable practices in production processes, and neighbouring producers' experiences (what we call 'network effects') are also relevant factors to explain the diffusion of PA technologies. Likewise, and contrary to what is assumed in some previous studies, business owners' age, Internet connectivity in rural areas, and owning agricultural machinery did not emerge as relevant variables to explain the adoption of PA. This study adds novel elements to the specialized literature on this topic at an international level and broadens the discussion at a national level, also contributing to the design of public policies aimed at facilitating the diffusion of PA technologies in Argentina.
format	Artículo publishedVersion
author	Lachman, Jeremias Gómez-Roca, Sebastián López, Andrés
author_facet	Lachman, Jeremias Gómez-Roca, Sebastián López, Andrés
author_sort	Lachman, Jeremias
title	The adoption of precision agriculture technologies among CREA’s members
title_short	The adoption of precision agriculture technologies among CREA’s members
title_full	The adoption of precision agriculture technologies among CREA’s members
title_fullStr	The adoption of precision agriculture technologies among CREA’s members
title_full_unstemmed	The adoption of precision agriculture technologies among CREA’s members
title_sort	adoption of precision agriculture technologies among crea’s members
publisher	Instituto Interdisciplinario de Economía Política (IIEP UBA-CONICET)
publishDate	2023
url	https://ojs.economicas.uba.ar/DT-IIEP/article/view/2655 https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=dociiep&d=2655_oai
work_keys_str_mv	AT lachmanjeremias theadoptionofprecisionagriculturetechnologiesamongcreasmembers AT gomezrocasebastian theadoptionofprecisionagriculturetechnologiesamongcreasmembers AT lopezandres theadoptionofprecisionagriculturetechnologiesamongcreasmembers AT lachmanjeremias adopciondetecnologiasdeagriculturadeprecisionenlosgruposcrea AT gomezrocasebastian adopciondetecnologiasdeagriculturadeprecisionenlosgruposcrea AT lopezandres adopciondetecnologiasdeagriculturadeprecisionenlosgruposcrea AT lachmanjeremias adoptionofprecisionagriculturetechnologiesamongcreasmembers AT gomezrocasebastian adoptionofprecisionagriculturetechnologiesamongcreasmembers AT lopezandres adoptionofprecisionagriculturetechnologiesamongcreasmembers
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spelling	I28-R145-2655_oai2025-02-11 Lachman, Jeremias Gómez-Roca, Sebastián López, Andrés 2023-03-28 The objective of this work is to study the factors affecting the adoption of technologies for precision agriculture. Precision agriculture (PA) is based on a set of methods and processes that uses digital and electronic technologies that allow the design and implementation of tailored strategies for the various microenvironments that coexist in a field. These technologies allow producers to identify the environmental heterogeneity within an area, for then to apply a "productive recipe" adapted to those various microenvironments (e. g., thus varying the planting density, the application of fertilizers, the selective application of herbicides, etc.). Even though these new technologies have been on the market for some years, their diffusion process is far from massive, both locally and internationally. In this paper, we use data from the CREA -a private organization of agricultural producers- 2019 Census and use different econometric models to identify the main factors affecting the diffusion process of PA technologies. The results show that producers' structural characteristics (e. g., size of the agricultural area and land tenure regime) and human capital (e. g., owner's level of education) affect the adoption process. Additionally, we identified that the access to external sources of information (e. g., through the hiring of advisers), the relevance assigned to sustainable practices in production processes, and neighbouring producers' experiences (what we call 'network effects') are also relevant factors to explain the diffusion of PA technologies. Likewise, and contrary to what is assumed in some previous studies, business owners' age, Internet connectivity in rural areas, and owning agricultural machinery did not emerge as relevant variables to explain the adoption of PA. This study adds novel elements to the specialized literature on this topic at an international level and broadens the discussion at a national level, also contributing to the design of public policies aimed at facilitating the diffusion of PA technologies in Argentina. El objetivo de este trabajo es estudiar los factores que inciden en la adopción de tecnologías para la agricultura de precisión. La agricultura de precisión (AP) constituye un conjunto de métodos y procesos basados en el uso de tecnologías digitales y electrónicas que permiten la implementación de estrategias productivas diseñadas para los diversos microambientes que conviven una misma superficie productiva. Este tipo de “planteos agronómicos” se valen de la identificación de la heterogeneidad ambiental, para luego aplicar una “receta productiva” adaptada a los diversos microambientes que existen en una propiedad agrícola (e. g., variando así la densidad de siembra, la aplicación de fertilizantes, la aplicación selectiva de herbicidas, etc.). Si bien este nuevo paquete tecnológico lleva ya algunos años en el mercado, su proceso de difusión lejos está lejos de ser masivo, tanto en el escenario local como internacional. En este trabajo utilizamos los datos provenientes del Censo CREA 2019 -una organización privada de productores del agro- y empleamos diversos modelos econométricos para identificar los principales determinantes del proceso de difusión de las tecnologías AP. Los principales resultados del trabajo muestran que existen características estructurales (e. g., tamaño de la superficie agrícola y régimen de tenencia de la tierra) y de capital humano (e. g., nivel de formación del dueño) que inciden en el proceso de adopción de dichas tecnologías. Adicionalmente, identificamos que el acceso a fuentes externas de información (e. g., a través de la contratación de asesores), la relevancia asignada a la implementación de buenas prácticas ambientales en el campo y la experiencia aprendida de productores vecinos (lo que en el estudio llamamos “efectos de red”) también constituyen factores relevantes para explicar el fenómeno bajo estudio. Por otro lado, y contrario a lo asumido en parte de la literatura sobre el tema, la edad del dueño de la empresa, la posibilidad de tener conectividad a Internet en áreas rurales y la tenencia de maquinaria agrícola propia no emergieron como variables relevantes para explicar la adopción de AP. Consideramos que este estudio aporta elementos novedosos a la literatura especializada en este tema a escala internacional, así como también a la discusión y al diseño de políticas públicas en el ámbito nacional. application/pdf https://ojs.economicas.uba.ar/DT-IIEP/article/view/2655 spa Instituto Interdisciplinario de Economía Política (IIEP UBA-CONICET) https://ojs.economicas.uba.ar/DT-IIEP/article/view/2655/3391 Documentos de trabajo del Instituto Interdisciplinario de Economía Política; Núm. 79 (2022): Adopción de tecnologías de agricultura de precisión en los grupos CREA; 43 Working Papers series at Instituto Interdisciplinario de Economía Política; No. 79 (2022): The adoption of precision agriculture technologies among CREA’s members; 43 2451-5728 Difusión de tecnologías Agricultura de Precisión Argentina Technology diffusion Precision farming Argentina The adoption of precision agriculture technologies among CREA’s members Adopción de tecnologías de agricultura de precisión en los grupos CREA info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=dociiep&d=2655_oai

The adoption of precision agriculture technologies among CREA’s members

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