Closing the Knowledge Gap on Gender in Agriculture

Quisumbing, Agnes R.; Meinzen‐Dick, Ruth; Raney, Terri; Croppenstedt, André; Behrman, Julia A.; Peterman, Amber

doi:10.1007/978-94-017-8616-4_1

Cited by 108 publications

(90 citation statements)

References 30 publications

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“…The scientific literature provides evidence for gender-biased agricultural capacity, resulting from gendered household domains, such as the cultivation of different crops by women and men, gendered focus on different steps of food production and processing in the household, or contact to extension (Peterman et al 2010;Quisumbing et al 2014). Such gender differences may translate into different observation accuracies for different traits.…”

Section: Computational Resourcesmentioning

confidence: 99%

The accuracy of farmer-generated data in an agricultural citizen science methodology

Steinke

Etten

Zelan

2017

Agron. Sustain. Dev.

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Over the last decades, participatory approaches involving on-farm experimentation have become more prevalent in agricultural research. Nevertheless, these approaches remain difficult to scale because they usually require close attention from well-trained professionals. Novel large-N participatory trials, building on recent advances in citizen science and crowdsourcing methodologies, involve large numbers of participants and little researcher supervision. Reduced supervision may affect data quality, but the "Wisdom of Crowds" principle implies that many independent observations from a diverse group of people often lead to highly accurate results when taken together. In this study, we test whether farmergenerated data in agricultural citizen science are good enough to generate valid statements about the research topic. We experimentally assess the accuracy of farmer observations in trials of crowdsourced crop variety selection that use triadic comparisons of technologies (tricot). At five sites in Honduras, 35 farmers (women and men) participated in tricot experiments. They ranked three varieties of common bean (Phaseolus vulgaris L.) for Plant vigor, Plant architecture, Pest resistance, and Disease resistance. Furthermore, with a simulation approach using the empirical data, we did an orderof-magnitude estimation of the sample size of participants needed to produce relevant results. Reliability of farmers' experimental observations was generally low (Kendall's W 0.174 to 0.676). But aggregated observations contained information and had sufficient validity (Kendall's tau coefficient 0.33 to 0.76) to identify the correct ranking orders of varieties by fitting Mallows-Bradley-Terry models to the data. Our sample size simulation shows that low reliability can be compensated by engaging higher numbers of observers to generate statistically meaningful results, demonstrating the usefulness of the Wisdom of Crowds principle in agricultural research. In this first study on data quality from a farmer citizen science methodology, we show that realistic numbers of less than 200 participants can produce meaningful results for agricultural research by tricot-style trials.

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Section: Computational Resourcesmentioning

confidence: 99%

The accuracy of farmer-generated data in an agricultural citizen science methodology

Steinke

Etten

Zelan

2017

Agron. Sustain. Dev.

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“…Development interventions have paid insufficient attention to socially differentiated access and control over assets (Meinzen-Dick et al 2011a; Quisumbing et al 2014). In our study, respondents initially associated higher well-being with greater access to assets (Table 2).…”

Section: Discussionmentioning

confidence: 99%

Understanding adaptive capacity and capacity to innovate in social–ecological systems: Applying a gender lens

Cohen

Lawless

Dyer

et al. 2016

Ambio

109

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Development policy increasingly focuses on building capacities to respond to change (adaptation), and to drive change (innovation). Few studies, however, focus specifically on the social and gender differentiation of capacities to adapt and innovate. We address this gap using a qualitative study in three communities in Solomon Islands; a developing country, where rural livelihoods and well-being are tightly tied to agriculture and fisheries. We find the five dimensions of capacity to adapt and to innovate (i.e. assets, flexibility, learning, social organisation, agency) to be mutually dependant. For example, limits to education, physical mobility and agency meant that women and youth, particularly, felt it was difficult to establish relations with external agencies to access technical support or new information important for innovating or adapting. Willingness to bear risk and to challenge social norms hindered both women’s and men’s capacity to innovate, albeit to differing degrees. Our findings are of value to those aspiring for equitable improvements to well-being within dynamic and diverse social–ecological systems.

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“…In a volume of papers prepared for the above-mentioned report, Quisumbing et al (2012) argue that the motivations for closing the gender gap are not mutually exclusive; rather, they reinforce each other. Closing the gender gap in assets-allowing women to own and control productive assets-both increases women's productivity and increases their self-esteem.…”

Section: Kes Be Kes Enqullal Be-egrwa Tihedalechmentioning

confidence: 99%

Policy Reform Toward Gender Equality in Ethiopia: Little by Little the Egg Begins to Walk

Kumar

Quisumbing

2012

SSRN Journal

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Closing the Knowledge Gap on Gender in Agriculture

Cited by 108 publications

References 30 publications

The accuracy of farmer-generated data in an agricultural citizen science methodology

The accuracy of farmer-generated data in an agricultural citizen science methodology

Understanding adaptive capacity and capacity to innovate in social–ecological systems: Applying a gender lens

Policy Reform Toward Gender Equality in Ethiopia: Little by Little the Egg Begins to Walk

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