<mets:mets OBJID="eprint_11767" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mets="http://www.loc.gov/METS/" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mets:metsHdr CREATEDATE="2023-07-05T14:08:00Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>OAR@ICRISAT</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_11767_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>Using Seasonal Forecast as an Adaptation Strategy: Gender Differential Impact on Yield and Income in Senegal</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">N S</mods:namePart><mods:namePart type="family">Diouf</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">M</mods:namePart><mods:namePart type="family">Ouedraogo</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">I</mods:namePart><mods:namePart type="family">Ouedraogo</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">G</mods:namePart><mods:namePart type="family">Ablouka</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">Zougmoré</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>The use of seasonal forecast has been demonstrated as a good option to reduce the effects&#13;
of climate variability in sub-Saharan African countries. However, its use, benefits and interests may&#13;
be different depending on gender. This paper aims at analyzing the gender differential impact of&#13;
the use of seasonal forecast on the main crop yields (rice, maize, sorghum, millet and groundnut)&#13;
and farm income in Senegal. We collected data from 1481 farmers (44% women) in four regions&#13;
of Senegal. We applied the counterfactual outcomes framework of modern evaluation theory to&#13;
estimate the local average treatment effect (LATE) of the use of the seasonal forecast on crop yield&#13;
and farm income. The results showed a significant impact of the use of the seasonal forecast (SF) in&#13;
the main crop yields and the agricultural income for farmers in Senegal. This impact varies according&#13;
to the sex and the type of the crops. The users (men and women) of the seasonal forecast gained&#13;
on average 158 kg/ha and 140 kg/ha more yield than the non-users, respectively, for millet and rice&#13;
crops. The impact of the use of SF is greater for men on millet (202.7 kg/ha vs. 16.7 kg/ha) and rice&#13;
(321.33 kg/ha vs.</mods:abstract><mods:classification authority="lcc">Crop Yield</mods:classification><mods:classification authority="lcc">Agricultural Statistics</mods:classification><mods:classification authority="lcc">Agriculture-Farming, Production, Technology, Economics</mods:classification><mods:classification authority="lcc">Gender Research</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2020-10</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>MDPI</mods:publisher></mods:originInfo><mods:genre>Article</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_eprint_11767"><mets:rightsMD ID="rights_eprint_11767_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
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