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THE GENDER MARKER TOT for FAO – WFP May 30, 2011

THE GENDER MARKER TOT for FAO – WFP May 30, 2011. Linda Pennells – IASC GenCap Adviser. Session Overview. History of the IASC Gender Marker (GM) Purpose of the GM GM Focus Performance of clusters in 2011 roll-out The Gender Code Food Security – Lessons to date

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THE GENDER MARKER TOT for FAO – WFP May 30, 2011

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  1. THE GENDER MARKER TOT for FAO – WFP May 30, 2011 Linda Pennells – IASC GenCap Adviser

  2. Session Overview • History of the IASC Gender Marker (GM) • Purpose of the GM • GM Focus • Performance of clusters in 2011 roll-out • The Gender Code • Food Security – Lessons to date • Role of the FS Cluster Coordinators • Assisting the FS Cluster Coordinators 9. The GM Pay-Off

  3. HISTORY OF THE GENDER MARKER IASC - CAP Sub-Working Group

  4. PURPOSE OF THE GENDER MARKER A SIMPLE and PRACTICAL tool; To measure/track inclusion of gender and GBV throughout the project cycle To enable/to build capacity of humanitarian teams to give voice and agency to male and female beneficiaries.

  5. GENDER MARKER FOCUS Gender Mainstreaming: the different needs of women, girls, boys and men are analyzed. This analysis is reflected in project activities and outcomes Targeted Actions: assisting women, girls, boys or men who suffer discrimination and building gender- specific services GM is now mandatory in CAPs, PFs and ERFs

  6. Gender Marker Coding

  7. Gender Marker Coding

  8. APPLYING A GENDER CODE: WHO AND HOW? Cluster vetting team – Cluster Coordinators ensure competence exists to identify gender codes Support from gender specialists /OCHA OPS and FTS have a ‘field’ for the gender code Humanitarian appeals increasingly have gender and GBV in selection and prioritization criteria Donors starting to shop by gender code already NEEDSACTIVITIESOUTCOMES

  9. CLUSTERS’ PERFORMANCE IN CAP/PF 2011 (CHANGE IN GM CODES FROM CAP 2010 TO CAP 2011 IN SIX COUNTRIES) G

  10. FOOD SECURITY INSIGHTS FROM THE 2011 ROLL-OUT good news: practice is better than projects many projects lack gender analysis / baseline better targeting is possible when WFP-FAO collaborate well women in farming couples are invisible overdependence on FHH activities to get good gender code food for work and training often does not create equal opportunities for men and women

  11. GENDER ANALYSIS Discussion: identify the gender dimensions seed food distribution irrigation channel rehabilitation transport of food and NFIs pest management

  12. GENDER ANALYSIS - Punjab Bootaywala: EUFF equipment distributed saves women 183 hr of work /acre but adds 4 hr to men’s work men get machines/new technology – women get hand tools women spend 2 to 3 hours for each hour men invest in rice production women invest 30+ workdays weeding each acre of cotton laser leveling would save men 14 hr/acre each cotton crop feminization of agricultural day labour Ali Pur: M/F different financial coping skills i.e. goat share-cropping

  13. ROLE of the CLUSTER COORDINATOR gender analysis in the Needs Assessment (NAF) ensuring gender is a priority in the Cluster Response Plan building capacity of IPs to bring gender dimensions into projects ensuring the vetting team assigns accurate gender codes enables monitoring to ensure project implementation fulfills the gender code

  14. HQ SUPPORT to FS CLUSTER gender technical support and mentoring resources for gender analysis equip FAO/WFP staff to be good role models: in design of good gender projects and assigning gender codes - some donors will judge the cluster based on its coordination projects assist cluster to create or customize gender tools (SEAGA –IASC) and to improve project design support for active monitoring of gender outcomes recognize gender leadership in performance reviews

  15. THE GENDER MARKER PAY-OFF • improved targeting to • beneficiaries • potential for more food • production and more • effective food aid • stronger gender • outcomes – using RBM • more cohesive projects • more potential to • attract donors If women had the same access to productive resources on their farms as men, they could increase yields by 20-30% and lift up to 150 million out of hunger. On average men comprise 57% and women 43% of the agricultural labour force in developing countries. Source: SOFA 2010-2011

  16. WEBSITES www.oneresponse.info/gender http://ops.unocha.org www.reliefweb.int/fts

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