Gender dimensions of agricultural innovation awareness and adoption

The 3-year startup phase of the BioSight project envisions the development of “models, tools, and problem-focused analytics” to contribute to the project’s larger goal of establishing stronger micro-level and spatially explicit foundations to advancing the state of bioeconomic modeling. The project...

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Autores principales: Haglund, Eric, Bernier, Quinn, Bryan, Elizabeth, Kovarik, Chiara, Kristjanson, Patricia, Meinzen-Dick, Ruth S., Quiros, Carlos, Ringler, Claudia, Rufino, Mariana, Silvestri, Sylvia, Twyman, Jennifer
Formato: Artículo preliminar
Lenguaje:Inglés
Publicado: International Food Policy Research Institute 2014
Materias:
Acceso en línea:https://hdl.handle.net/10568/149433
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author Haglund, Eric
Bernier, Quinn
Bryan, Elizabeth
Kovarik, Chiara
Kristjanson, Patricia
Meinzen-Dick, Ruth S.
Quiros, Carlos
Ringler, Claudia
Rufino, Mariana
Silvestri, Sylvia
Twyman, Jennifer
author_browse Bernier, Quinn
Bryan, Elizabeth
Haglund, Eric
Kovarik, Chiara
Kristjanson, Patricia
Meinzen-Dick, Ruth S.
Quiros, Carlos
Ringler, Claudia
Rufino, Mariana
Silvestri, Sylvia
Twyman, Jennifer
author_facet Haglund, Eric
Bernier, Quinn
Bryan, Elizabeth
Kovarik, Chiara
Kristjanson, Patricia
Meinzen-Dick, Ruth S.
Quiros, Carlos
Ringler, Claudia
Rufino, Mariana
Silvestri, Sylvia
Twyman, Jennifer
author_sort Haglund, Eric
collection Repository of Agricultural Research Outputs (CGSpace)
description The 3-year startup phase of the BioSight project envisions the development of “models, tools, and problem-focused analytics” to contribute to the project’s larger goal of establishing stronger micro-level and spatially explicit foundations to advancing the state of bioeconomic modeling. The project aims to devote particular attention to the issue of gender, and the question of how BioSight’s new models and tools can better account for the various ways the gender of resource users affects decisions about agriculture, natural resource management, and technology adoption. This paper discusses some of the conceptual issues involved in more fully accounting for gender when considering agricultural innovation adoption and presents a brief empirical analysis to illustrate the challenges of applying these insights to analytical methods.
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spelling CGSpace1494332025-11-06T05:58:57Z Gender dimensions of agricultural innovation awareness and adoption Haglund, Eric Bernier, Quinn Bryan, Elizabeth Kovarik, Chiara Kristjanson, Patricia Meinzen-Dick, Ruth S. Quiros, Carlos Ringler, Claudia Rufino, Mariana Silvestri, Sylvia Twyman, Jennifer gender bioeconomics mathematical models macroeconomics women The 3-year startup phase of the BioSight project envisions the development of “models, tools, and problem-focused analytics” to contribute to the project’s larger goal of establishing stronger micro-level and spatially explicit foundations to advancing the state of bioeconomic modeling. The project aims to devote particular attention to the issue of gender, and the question of how BioSight’s new models and tools can better account for the various ways the gender of resource users affects decisions about agriculture, natural resource management, and technology adoption. This paper discusses some of the conceptual issues involved in more fully accounting for gender when considering agricultural innovation adoption and presents a brief empirical analysis to illustrate the challenges of applying these insights to analytical methods. 2014 2024-08-01T02:49:22Z 2024-08-01T02:49:22Z Working Paper https://hdl.handle.net/10568/149433 en Open Access application/pdf International Food Policy Research Institute Haglund, Eric; Bernier, Quinn; Bryan, Elizabeth; Kovark, Chiara; Kristjanson, Patricia; Meinzen-Dick, Ruth Suseela; Quiros, Carlos; Ringler, Claudia; Rufino, Mariana; Silvestri, Sylvia and Twyman, Jennifer. 2014. Gender dimensions of agricultural innovation awareness and adoption. Washington, DC: International Food Policy Research Institute (IFPRI). https://hdl.handle.net/10568/149433
spellingShingle gender
bioeconomics
mathematical models
macroeconomics
women
Haglund, Eric
Bernier, Quinn
Bryan, Elizabeth
Kovarik, Chiara
Kristjanson, Patricia
Meinzen-Dick, Ruth S.
Quiros, Carlos
Ringler, Claudia
Rufino, Mariana
Silvestri, Sylvia
Twyman, Jennifer
Gender dimensions of agricultural innovation awareness and adoption
title Gender dimensions of agricultural innovation awareness and adoption
title_full Gender dimensions of agricultural innovation awareness and adoption
title_fullStr Gender dimensions of agricultural innovation awareness and adoption
title_full_unstemmed Gender dimensions of agricultural innovation awareness and adoption
title_short Gender dimensions of agricultural innovation awareness and adoption
title_sort gender dimensions of agricultural innovation awareness and adoption
topic gender
bioeconomics
mathematical models
macroeconomics
women
url https://hdl.handle.net/10568/149433
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