Presentation on theme: "Mayra Buvinic Director, Gender and Development Group World Bank DIME-GAP C OLLABORATION -- Measuring What Works, What Doesn’t and Why? gender equality."— Presentation transcript:
Mayra Buvinic Director, Gender and Development Group World Bank DIME-GAP C OLLABORATION -- Measuring What Works, What Doesn’t and Why? gender equality as smart economics
Policy level Agency level Empower women to compete in markets Make markets work for women Advance women’s economic empowerment GAP Framework
GAP Framework--at Work in 4 Markets Product MarketsInclude female-owned businesses and farms in supply chains Form women’s business, purchasing, and transport associations Financial MarketsOffer commercial credit lines and financial services for women Support self-help groups and ROSCAs Land MarketsPromote joint titling to land to enable women to access loans Ensure women’s participation in land adjudication and registration processes Labor MarketsCertify good gender practices in firms Provide labor intermediation services to young women Policy Level: Make markets work for women Agency Level: Empower women to compete in markets Infrastructure Increases Access to all 4 Markets
Selective coverage Evidence-based Results-oriented Relies on incentives GAP Guiding Principles
GAP History, Funding & Initiatives GAP is a US$65 million, four-year program, started in January Currently 226 initiatives are underway in research and operations. GAP has invested $1.7 million in DIME collaborations, in ARD and PSD. – Regional IE workshops with TTLs and project Teams, where gender is integrated in learning, and concept note design – Incentive funding to support gender integration in the implementation of projects
6 GAP Allocation by Markets (226 initiatives) As of January 2010 Note: Includes the Adolescent Girls Initiative ($18.3m) and the Results Based Initiatives ($4.8m).
Why does GAP Support DIME? A N EFFECTIVE WAY TO MAINSTREAM GENDER IN LINE WITH THE GAP OBJECTIVES AND PHILOSOPHY Evidence based to influence Bank operations Use of incentives to strengthen gender mainstreaming Generation of substantial gender disaggregated data to support broader policy analysis