<mods:mods version="3.3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mods:titleInfo><mods:title>Examining the Gender Productivity Gap among Farm Households in Mali</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">A</mods:namePart><mods:namePart type="family">Singbo</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">E</mods:namePart><mods:namePart type="family">Njuguna-Mungai</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">J O</mods:namePart><mods:namePart type="family">Yila</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">K</mods:namePart><mods:namePart type="family">Sissoko</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">R</mods:namePart><mods:namePart type="family">Tabo</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>AbstractThis paper decomposes the gender agricultural productivity gap and measures&#13;
the factors that influence the gap between male and female agricultural&#13;
plot managers in Mali. The Oaxaca–Blinder approach and the recentred influence&#13;
function (RIF) decompositionmethodology are applied to a nationally representative&#13;
survey of Mali. The results show that the agricultural productivity of female plot&#13;
managers is 20.18%lower than that of male plot managers. Additionally, while more&#13;
than half (56%) of the agricultural productivity gap is influenced by female-specific&#13;
structural disadvantages, 44% of the gap is due to an endowment effect. Socioeconomic&#13;
characteristics such as the educational level and age of the plot manager,&#13;
environmental factors and agricultural production practices, i.e., the differential&#13;
use of inputs (organic or inorganic fertiliser and improved seeds) and the use of&#13;
hired female workers seem to affect the female-specific structural disadvantages.&#13;
To reduce or close the gender productivity gap, the underlying causes of femalespecific&#13;
structural disadvantages must be addressed to enable female farmers to&#13;
obtain the same returns as men. Traditional means of addressing the gender gap,&#13;
such as providing education for women in rural areas and facilitating rural women’&#13;
access to extension services and improved seeds, can mitigate the endowment&#13;
deficit. This paper highlights the need to develop a better understanding of the&#13;
factors influencing the structural disadvantages faced by female farmers inMali that&#13;
could feed into the development ofmore effective policies to address the gender gap&#13;
in agricultural productivity, improving productivity and gender equity and reducing&#13;
poverty.</mods:abstract><mods:classification authority="lcc">Agriculture-Farming, Production, Technology, Economics</mods:classification><mods:classification authority="lcc">Gender Research</mods:classification><mods:classification authority="lcc">Mali</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2020</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>Oxford University Press</mods:publisher></mods:originInfo><mods:genre>Article</mods:genre></mods:mods>