29 research outputs found
Assessing and improving organic matter, nutrient dynamics and profitability of smallholder farms in Ethiopia and Kenya: proof of concept of using the whole farm model FarmDESIGN for prioritization of GIZ development interventions
Capturing farm diversity with hypothesisbased typologies: An innovative methodological framework for farming system typology development
Creating typologies is a way to summarize the large heterogeneity of smallholder farming systems into a few farm types. Various methods exist, commonly using statistical analysis, to create these typologies. We demonstrate that the methodological decisions on data collection, variable selection, data-reduction and clustering techniques can bear a large impact on the typology results. We illustrate the effects of analysing the diversity from different angles, using different typology objectives and different hypotheses, on typology creation by using an example from Zambia's Eastern Province. Five separate typologies were created with principal component analysis (PCA) and hierarchical clustering analysis (HCA), based on three different expert-informed hypotheses. The greatest overlap between typologies was observed for the larger, wealthier farm types but for the remainder of the farms there
were no clear overlaps between typologies. Based on these results, we argue that the typology development should be guided by a hypothesis on the local agriculture features and the drivers and mechanisms of differentiation among farming systems, such as biophysical and socio-economic conditions. That hypothesis is based both on the typology objective and on prior expert knowledge and theories of the farm diversity in the study area. We present a methodological framework that aims to integrate participatory and statistical methods for hypothesis-based typology construction. This is an iterative process whereby the results of the statistical analysis are compared with the reality of the target population as hypothesized by the local experts. Using a well-defined hypothesis and the presented methodological framework, which consolidates the hypothesis through local expert knowledge for the creation
of typologies, warrants development of less subjective and more contextualized quantitative farm typologies.EstaciĂłn Experimental Agropecuaria BarilocheFil: Alvarez, Stephanie. Wageningen University & Research. Farming Systems Ecology; HolandaFil: Timler, Carl J. Wageningen University & Research. Farming Systems Ecology; HolandaFil: Michalscheck, Mirja. Wageningen University & Research. Farming Systems Ecology; HolandaFil: Paas, Wim. Wageningen University & Research. Farming Systems Ecology; HolandaFil: Descheemaeker, Katrien. Wageningen University & Research. Plant Production Systems; HolandaFil: Tittonell, Pablo Adrian. Instituto Nacional de TecnologĂa Agropecuaria (INTA). EstaciĂłn Experimental Agropecuaria Bariloche. Ărea de Recursos Naturales; ArgentinaFil: Andersson, Jens A. International Maize and Wheat Improvement Center (CIMMYT); ZimbaweFil: Groot, Jeroen C. J. Wageningen University & Research. Farming Systems Ecology Group, Plant Sciences; Holand
Diversity among smallholder farms and householdsâConsequences for trade-offs, trajectories, targeting and scaling
United States Agency for International Developmen
Understanding diversity in gender norms within farming communities:A Q-methodology approach applied in Uganda
Womenâs and menâs opportunities are influenced by gender norms which shape their respective behaviours, roles and decision-making power. Gender norms thus influence farming outcomes and the ability of women and men to secure their livelihood objectives. We study gender norms and normative change in a smallholder farming community in Uganda. We argue that gender norms operate in sets and that multiple sets of gender norms may co-exist in the same location. To empirically demonstrate this, we employ mixed methods centred around the use of Q-methodology and further consisting of a survey, focus group discussions and individual interviews. In our study, 80 participants (50% men) ranked 40 statements pertaining to gender norms. Factor analysis yielded three different groups each representing a distinct âsetâ of gender norms representing varying appreciations for womenâs agency amongst other things. Survey data analysis found that participantsâ âgenderâ and âwealth statusâ were associated with these sets. We explored gender normative change through our qualitative tools and build an analytical framework in which we plot the three groups to help visualize and comprehend gender normative change processes. We conclude that the three groups can be understood as being part of messy normative change processes. Dynamic interplay between these groups is likely to act as a mechanism for change. Our findings and unique methodological approach provide useful entry-points for identifying sets of gender norms in particular locations. This opens the door to delivering gender transformative research, interventions and policies tailored to the diverse needs of women and men.</p
Understanding diversity in gender norms within farming communities:A Q-methodology approach applied in Uganda
Womenâs and menâs opportunities are influenced by gender norms which shape their respective behaviours, roles and decision-making power. Gender norms thus influence farming outcomes and the ability of women and men to secure their livelihood objectives. We study gender norms and normative change in a smallholder farming community in Uganda. We argue that gender norms operate in sets and that multiple sets of gender norms may co-exist in the same location. To empirically demonstrate this, we employ mixed methods centred around the use of Q-methodology and further consisting of a survey, focus group discussions and individual interviews. In our study, 80 participants (50% men) ranked 40 statements pertaining to gender norms. Factor analysis yielded three different groups each representing a distinct âsetâ of gender norms representing varying appreciations for womenâs agency amongst other things. Survey data analysis found that participantsâ âgenderâ and âwealth statusâ were associated with these sets. We explored gender normative change through our qualitative tools and build an analytical framework in which we plot the three groups to help visualize and comprehend gender normative change processes. We conclude that the three groups can be understood as being part of messy normative change processes. Dynamic interplay between these groups is likely to act as a mechanism for change. Our findings and unique methodological approach provide useful entry-points for identifying sets of gender norms in particular locations. This opens the door to delivering gender transformative research, interventions and policies tailored to the diverse needs of women and men.</p
Characterization of farming systems in Africa RISING intervention sites in Malawi, Tanzania, Ghana and Mali
Understanding diversity in gender norms within farming communities:A Q-methodology approach applied in Uganda
Womenâs and menâs opportunities are influenced by gender norms which shape their respective behaviours, roles and decision-making power. Gender norms thus influence farming outcomes and the ability of women and men to secure their livelihood objectives. We study gender norms and normative change in a smallholder farming community in Uganda. We argue that gender norms operate in sets and that multiple sets of gender norms may co-exist in the same location. To empirically demonstrate this, we employ mixed methods centred around the use of Q-methodology and further consisting of a survey, focus group discussions and individual interviews. In our study, 80 participants (50% men) ranked 40 statements pertaining to gender norms. Factor analysis yielded three different groups each representing a distinct âsetâ of gender norms representing varying appreciations for womenâs agency amongst other things. Survey data analysis found that participantsâ âgenderâ and âwealth statusâ were associated with these sets. We explored gender normative change through our qualitative tools and build an analytical framework in which we plot the three groups to help visualize and comprehend gender normative change processes. We conclude that the three groups can be understood as being part of messy normative change processes. Dynamic interplay between these groups is likely to act as a mechanism for change. Our findings and unique methodological approach provide useful entry-points for identifying sets of gender norms in particular locations. This opens the door to delivering gender transformative research, interventions and policies tailored to the diverse needs of women and men.</p
Understanding diversity in gender norms within farming communities:A Q-methodology approach applied in Uganda
Womenâs and menâs opportunities are influenced by gender norms which shape their respective behaviours, roles and decision-making power. Gender norms thus influence farming outcomes and the ability of women and men to secure their livelihood objectives. We study gender norms and normative change in a smallholder farming community in Uganda. We argue that gender norms operate in sets and that multiple sets of gender norms may co-exist in the same location. To empirically demonstrate this, we employ mixed methods centred around the use of Q-methodology and further consisting of a survey, focus group discussions and individual interviews. In our study, 80 participants (50% men) ranked 40 statements pertaining to gender norms. Factor analysis yielded three different groups each representing a distinct âsetâ of gender norms representing varying appreciations for womenâs agency amongst other things. Survey data analysis found that participantsâ âgenderâ and âwealth statusâ were associated with these sets. We explored gender normative change through our qualitative tools and build an analytical framework in which we plot the three groups to help visualize and comprehend gender normative change processes. We conclude that the three groups can be understood as being part of messy normative change processes. Dynamic interplay between these groups is likely to act as a mechanism for change. Our findings and unique methodological approach provide useful entry-points for identifying sets of gender norms in particular locations. This opens the door to delivering gender transformative research, interventions and policies tailored to the diverse needs of women and men.</p
Understanding diversity in gender norms within farming communities:A Q-methodology approach applied in Uganda
Womenâs and menâs opportunities are influenced by gender norms which shape their respective behaviours, roles and decision-making power. Gender norms thus influence farming outcomes and the ability of women and men to secure their livelihood objectives. We study gender norms and normative change in a smallholder farming community in Uganda. We argue that gender norms operate in sets and that multiple sets of gender norms may co-exist in the same location. To empirically demonstrate this, we employ mixed methods centred around the use of Q-methodology and further consisting of a survey, focus group discussions and individual interviews. In our study, 80 participants (50% men) ranked 40 statements pertaining to gender norms. Factor analysis yielded three different groups each representing a distinct âsetâ of gender norms representing varying appreciations for womenâs agency amongst other things. Survey data analysis found that participantsâ âgenderâ and âwealth statusâ were associated with these sets. We explored gender normative change through our qualitative tools and build an analytical framework in which we plot the three groups to help visualize and comprehend gender normative change processes. We conclude that the three groups can be understood as being part of messy normative change processes. Dynamic interplay between these groups is likely to act as a mechanism for change. Our findings and unique methodological approach provide useful entry-points for identifying sets of gender norms in particular locations. This opens the door to delivering gender transformative research, interventions and policies tailored to the diverse needs of women and men.</p