<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.7910/DVN/W0KNMD</identifier><creators><creator><creatorName nameType="Personal">Wilkus, Erin Lynn</creatorName><givenName>Erin Lynn</givenName><familyName>Wilkus</familyName><nameIdentifier nameIdentifierScheme="ORCID">0000-0001-6678-9065</nameIdentifier><affiliation>International Center for Tropical Agriculture - CIAT</affiliation></creator><creator><creatorName nameType="Personal">Francesconi, Gian Nicola</creatorName><givenName>Gian Nicola</givenName><familyName>Francesconi</familyName><nameIdentifier nameIdentifierScheme="ORCID">0000-0002-7590-1140</nameIdentifier><affiliation>International Center for Tropical Agriculture - CIAT</affiliation></creator></creators><titles><title>Enhancing the benefits of value chain development: Addressing gender disparities in Kenyan and Ugandan common bean value chains</title></titles><publisher>Harvard Dataverse</publisher><publicationYear>2017</publicationYear><subjects><subject>Agricultural Sciences</subject><subject>Business and Management</subject><subject>Earth and Environmental Sciences</subject><subject schemeURI="http://aims.fao.org/aos/agrovoc/c_50307" subjectScheme="AGROVOC">Small and medium enterprises</subject><subject schemeURI="http://aims.fao.org/aos/agrovoc/c_34835" subjectScheme="AGROVOC">Gender</subject><subject schemeURI="http://aims.fao.org/aos/agrovoc/c_9fbe9719" subjectScheme="AGROVOC">Value chain</subject><subject schemeURI="http://aims.fao.org/aos/agrovoc/c_165" subjectScheme="AGROVOC">Africa</subject><subject schemeURI="http://aims.fao.org/aos/agrovoc/c_331566" subjectScheme="AGROVOC">Beans</subject><subject subjectScheme="CIAT Region">Africa</subject><subject subjectScheme="CIAT Research Area">Decision and Policy Analysis - DAPA</subject><subject subjectScheme="CIAT Research Area">Agrobiodiversity - AGBIO</subject><subject schemeURI="http://aims.fao.org/aos/agrovoc/c_36390" subjectScheme="AGROVOC">Social sciences</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Organizational">CIAT Data and Research Methods</contributorName><affiliation>International Center for Tropical Agriculture - CIAT</affiliation></contributor><contributor contributorType="Producer"><contributorName nameType="Organizational">International Center for Tropical Agriculture</contributorName></contributor><contributor contributorType="Distributor"><contributorName nameType="Organizational">International Center for Tropical Agriculture</contributorName></contributor></contributors><dates><date dateType="Submitted">2017-06-15</date><date dateType="Updated">2019-07-03</date></dates><resourceType resourceTypeGeneral="Dataset">Survey Data</resourceType><sizes><size>70423</size><size>38109</size><size>2181</size><size>179835</size></sizes><formats><format>application/x-stata</format><format>text/tab-separated-values</format><format>text/tab-separated-values</format><format>application/vnd.openxmlformats-officedocument.wordprocessingml.document</format></formats><version>1.3</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights/></rightsList><descriptions><description descriptionType="Abstract">This study contributed to a better understanding of current gender disparities that can help to ensure future inclusive market development and associated benefits. The analysis is based on empirical evidence from female and male small and medium enterprise (SME) owners along the common bean value chain that served urban and peri-urban bean markets in Kenya and Uganda. The value chain was evaluated based on cross-sectional data collected from 349 interconnected small and medium enterprises (SMEs). SMEs spanned three value chain levels, namely traders and wholesalers, which were dominated by male proprietors, and shopkeepers, which were dominated by female-proprietors</description><description descriptionType="Other">Survey data of SMEs- snowball sampling technique was used to capture SMEs along the common bean value chain. Survey was adapted from the design provided by GRADE and IFPRI, to suite the specific contexts of Uganda and Kenya</description></descriptions><geoLocations/></resource>