Cargando…

Towards gender-inclusive innovation: Assessing local conditions for agricultural targeting

The importance of gender norms in agricultural innovation processes has been recognized. However, the operational integration of these normative issues into the innovation strategies of agricultural interventions remains challenging. This article advances a replicable, integrative research approach...

Descripción completa

Detalles Bibliográficos
Autores principales: Lopez, Diana E., Frelat, Romain, Badstue, Lone B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947084/
https://www.ncbi.nlm.nih.gov/pubmed/35324912
http://dx.doi.org/10.1371/journal.pone.0263771
_version_ 1784674354926190592
author Lopez, Diana E.
Frelat, Romain
Badstue, Lone B.
author_facet Lopez, Diana E.
Frelat, Romain
Badstue, Lone B.
author_sort Lopez, Diana E.
collection PubMed
description The importance of gender norms in agricultural innovation processes has been recognized. However, the operational integration of these normative issues into the innovation strategies of agricultural interventions remains challenging. This article advances a replicable, integrative research approach that captures key local conditions to inform the design and targeting of gender-inclusive interventions. We focus on the gender climate across multiple contexts to add to the limited indicators available for assessing gender norms at scale. The notion of gender climate refers to the socially constituted rules that prescribe men’s and women’s behaviour in a specific geographic location—with some being more restrictive and others more relaxed. We examine the gender climate of 70 villages across 13 countries where agriculture is an important livelihood. Based on data from the GENNOVATE initiative we use multivariate methods to identify three principal components: ‘Gender Climate’, ‘Opportunity’ and ‘Connectivity’. Pairwise correlation and variance partitioning analyses investigate the linkages between components. Our findings evidence that favourable economic or infrastructure conditions do not necessarily correlate with favourable gender normative conditions. Drawing from two case-study villages from Nepal, we highlight opportunities for agricultural research for development interventions. Overall, our approach allows to integrate local knowledge about gender norms and other local conditions into the planning and targeting strategies for agricultural innovation.
format Online
Article
Text
id pubmed-8947084
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-89470842022-03-25 Towards gender-inclusive innovation: Assessing local conditions for agricultural targeting Lopez, Diana E. Frelat, Romain Badstue, Lone B. PLoS One Research Article The importance of gender norms in agricultural innovation processes has been recognized. However, the operational integration of these normative issues into the innovation strategies of agricultural interventions remains challenging. This article advances a replicable, integrative research approach that captures key local conditions to inform the design and targeting of gender-inclusive interventions. We focus on the gender climate across multiple contexts to add to the limited indicators available for assessing gender norms at scale. The notion of gender climate refers to the socially constituted rules that prescribe men’s and women’s behaviour in a specific geographic location—with some being more restrictive and others more relaxed. We examine the gender climate of 70 villages across 13 countries where agriculture is an important livelihood. Based on data from the GENNOVATE initiative we use multivariate methods to identify three principal components: ‘Gender Climate’, ‘Opportunity’ and ‘Connectivity’. Pairwise correlation and variance partitioning analyses investigate the linkages between components. Our findings evidence that favourable economic or infrastructure conditions do not necessarily correlate with favourable gender normative conditions. Drawing from two case-study villages from Nepal, we highlight opportunities for agricultural research for development interventions. Overall, our approach allows to integrate local knowledge about gender norms and other local conditions into the planning and targeting strategies for agricultural innovation. Public Library of Science 2022-03-24 /pmc/articles/PMC8947084/ /pubmed/35324912 http://dx.doi.org/10.1371/journal.pone.0263771 Text en © 2022 Lopez et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lopez, Diana E.
Frelat, Romain
Badstue, Lone B.
Towards gender-inclusive innovation: Assessing local conditions for agricultural targeting
title Towards gender-inclusive innovation: Assessing local conditions for agricultural targeting
title_full Towards gender-inclusive innovation: Assessing local conditions for agricultural targeting
title_fullStr Towards gender-inclusive innovation: Assessing local conditions for agricultural targeting
title_full_unstemmed Towards gender-inclusive innovation: Assessing local conditions for agricultural targeting
title_short Towards gender-inclusive innovation: Assessing local conditions for agricultural targeting
title_sort towards gender-inclusive innovation: assessing local conditions for agricultural targeting
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947084/
https://www.ncbi.nlm.nih.gov/pubmed/35324912
http://dx.doi.org/10.1371/journal.pone.0263771
work_keys_str_mv AT lopezdianae towardsgenderinclusiveinnovationassessinglocalconditionsforagriculturaltargeting
AT frelatromain towardsgenderinclusiveinnovationassessinglocalconditionsforagriculturaltargeting
AT badstueloneb towardsgenderinclusiveinnovationassessinglocalconditionsforagriculturaltargeting