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        <dc:title>What Does Gender Yield Gap Tell Us about Smallholder Farming in Developing Countries?</dc:title>
        <dc:creator>Nchanji, E B</dc:creator>
        <dc:creator>Collins, O A</dc:creator>
        <dc:creator>Katungi, E</dc:creator>
        <dc:creator>Nduguru, A</dc:creator>
        <dc:creator>Kabungo, C</dc:creator>
        <dc:creator>Njuguna, E M</dc:creator>
        <dc:creator>Ojiewo, C O</dc:creator>
        <dc:subject>Smallholder Farmers</dc:subject>
        <dc:subject>Agriculture-Farming, Production, Technology, Economics</dc:subject>
        <dc:subject>Gender Research</dc:subject>
        <dc:description>This study examines the extent of the productivity gap between male and female bean&#13;
producers, its discriminatory nature and implications for the policymakers in agriculture in Tanzania.&#13;
Generally, women are distinctively “invisible” in agriculture, due to social norms and even from the&#13;
national agricultural policy perspective. Their discrimination arises from uncounted and unaccounted&#13;
for farm work, and their productivity is reduced by triple roles, limited access to education, having&#13;
triple effects on access to technology, training and land rights. In research, issues of concern to them&#13;
such as nutritious food crops, varietal selection on important attributes, household food security,&#13;
convenient home storage and small-scale processing are widely ignored through unfavourable&#13;
policy design. Given the above discriminatory issues surrounding women in agriculture, they are&#13;
hypothesised to be less productive and often lag behind male counterparts in crop production.&#13;
To test the above hypothesis, a three-stage stratified sampling method was used to collect crosssectional&#13;
data in 2016 across four regions of Tanzania. Then, an Oaxaca-Blinder decomposition&#13;
method (at means) was used to apportion the sources of the difference between men and women&#13;
into explained and unexplained variations. Further improvements through the newly developed&#13;
Re-Centered Influence Functions (RIFs) remarkably improved outcomes as the differences were&#13;
analysed through unconditional partial effects on quantiles. Using a counterfactual approach and&#13;
correcting for selection bias, the model provided consistent estimates for easy comparison of the two&#13;
groups. Besides this, it emerged that interventions such as providing improved bean seed varieties&#13;
and training farmers on good agricultural practices reduced the gender yield gap and provided&#13;
a potential avenue for addressing the discrimination observed in productivity among males and&#13;
females. Controlling for selection bias also improved the model, but the real discrimination was&#13;
observed at the 50th percentile, where the majority of the respondents lay within. However, if a&#13;
female’s age, family size, additional years of schooling and discretion to spend income from beans&#13;
were taken away, they would be worse off. Our study finds that females comprised 25 percent&#13;
of the sample, had 6 percent lower productivity, provided 64.70 percent on-farm labour and had&#13;
0.32 hectares less land compared to males, ceteris paribus. Access to improved varieties contributed to a&#13;
35.4 percent improved productivity compared to growing indigenous/local varieties. The implication&#13;
is that the gender yield gap can be reduced significantly if efforts are focused on preventing or&#13;
correcting factors causing discrimination against women.</dc:description>
        <dc:publisher>MDPI</dc:publisher>
        <dc:date>2020-12</dc:date>
        <dc:type>Article</dc:type>
        <dc:type>PeerReviewed</dc:type>
        <dc:format>application/pdf</dc:format>
        <dc:language>en</dc:language>
        <dc:identifier>http://oar.icrisat.org/11695/1/sustainability-13-00077-v2.pdf</dc:identifier>
        <dc:identifier>  Nchanji, E B and Collins, O A and Katungi, E and Nduguru, A and Kabungo, C and Njuguna, E M and Ojiewo, C O  (2020) What Does Gender Yield Gap Tell Us about Smallholder Farming in Developing Countries?  Sustainability, 13 (1).  pp. 1-18.  ISSN 2071-1050     </dc:identifier>
        <dc:relation>https://doi.org/10.3390/su13010077</dc:relation>
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