TY - BOOK ID - 138217394 TI - Ethiopia Women Agribusiness Leaders Network Impact Evaluation : Baseline Survey Report AU - Ketema, Tigist. AU - Abro, Zewdu. AU - Bastian, Gautam. AU - Carranza, Eliana. AU - Gras, Ombeline. AU - Manchester, Katherine. PY - 2015 PB - Washington, D.C. : The World Bank, DB - UniCat KW - Agribusiness KW - Agriculture KW - Business KW - Business Development Services KW - Business Environment KW - Competitiveness And Competition Policy KW - Consultants KW - Financial Institutions KW - Financial Management KW - Financial Services KW - Gender KW - Gender And Rural Development KW - Innovation KW - Knowledge KW - Microenterprises KW - Private Sector Development KW - Productivity KW - Purchasing Power KW - Small And Medium Size Enterprises KW - Software KW - Value Chains UR - https://www.unicat.be/uniCat?func=search&query=sysid:138217394 AB - The World Bank's Africa region gender innovation lab (GIL) conducted a randomized controlled trial (RCT) impact evaluation of the women in agribusiness leadership network (WALN), a transformational project implemented in Ethiopia by agricultural cooperative development international (ACDI) and volunteers in overseas cooperative assistance (VOCA), and supported by United States Agency for International Development (USAID). WALN, as a project, aims to increase participants' business skills and self-confidence, enabling them to be community leaders and change makers. WALN also seeks to improve agribusiness outcomes by addressing gender differences in productivity, profitability, participation, and leadership in the sector. The ongoing impact evaluation is assessing the impact of participating in WALN activities on the overall performance of the selected high-potential women leaders in the agribusiness sector. In order to assess and interpret the impact evaluation outcomes, it is important to understand the specific business environment, as well as the needs and constraints faced by local entrepreneurs. Outcome data for this impact evaluation is being collected through survey instruments, administrative data, intensive qualitative interviews, and implicit association tests (IATs). ER -