Improving Gender Responsive Data
Collection and use in Africa; Rationale
and Review of Progress
Hannah Nyota
ReSAKSS-ECA
G...
Outline
• Definitions
• Rationale for gender statistics
• Agricultural gender data collection initiatives
• African initia...
Definitions
• Gender-social construction
of the roles and responsibilities
of males and females
(Quisumbing, 1996.)
• Gend...
Definitions contd’
Components of gender statistics;
• Sex-disaggregated data - data collected
primarily by biological and ...
Rationale for gender data in agriculture and
rural development
• In Africa, women constitute 50% of the agricultural
workf...
Cont’d
• Gender statistics provide the inter-linkages to
understand gender related challenges in food
security, market acc...
Why are gender statistics important?
• Provide evidence and unbiased foundation for gender responsive policies
and interve...
Agricultural gender data collection
initiatives
• Several initiatives developed for generating
and analyzing gender-releva...
Socio-Economic and Gender Analysis
(SEAGA) framework
Developed by FAO work to provide a gender perspective
in data collect...
Cont’d
• Uses a combination of quantitative and
qualitative methods for collecting gender-
relevant information
• Gender r...
Key questions of the SEAGA:
• Who does what?
• Who owns what?
• Who has access to/controls what?
• Who knows what?
• Who b...
Global strategy to Improve Agricultural
and Rural Statistics
Developed through joint collaboration between MoA, NSO,
inter...
Key aspects of the global strategy
• Analysis of agric issues should show clear
interaction between the economic, social a...
Agri gender toolkit/database
A statistical toolkit for supporting the production and analysis of
gender statistics in agri...
Data items from the
Agri-Gender database
Emphasis/scope Data categories
Roles and contributions of men and
women in the ag...
Gender and Agricultural Statistics
Framework (GASF)
• Developed by FAO and pilot tested in several
South East Asian countr...
Stages of the GASF
African initiatives
• Only one framework developed; Africa
Programme on Gender Statistics (APGS)
• APGS-brings together cu...
Conclusion
• Despite providing guidance on gender integration, these
initiatives don’t factor in measurement issues, count...
Thank you!
www.resakss.org
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Presentation by Hannah Nyota-Gender workshop September 2013

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Giving the rationale and progress made so far with regard to improvement of gender responsive data collection and use in Africa

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Presentation by Hannah Nyota-Gender workshop September 2013

  1. 1. Improving Gender Responsive Data Collection and use in Africa; Rationale and Review of Progress Hannah Nyota ReSAKSS-ECA Gender Framework Workshop Intercontinental Hotel, Nairobi 04/09/2013
  2. 2. Outline • Definitions • Rationale for gender statistics • Agricultural gender data collection initiatives • African initiatives • Conclusion
  3. 3. Definitions • Gender-social construction of the roles and responsibilities of males and females (Quisumbing, 1996.) • Gender statistics- separate data on women and men, boys and girls across a wide range of topics and areas, reflecting mostly quantitatively, the scope of diverse realities for different population groups (UNECE, 2010).
  4. 4. Definitions contd’ Components of gender statistics; • Sex-disaggregated data - data collected primarily by biological and physical attributes (FAO,2005) • Gender-sensitive indicators-information derived from sex-disaggregated data to assess gender relations in the population(FAO,2005).
  5. 5. Rationale for gender data in agriculture and rural development • In Africa, women constitute 50% of the agricultural workforce (Doss&FAO,2011) • Existence of gender disparities in access to and control of productive resources - land, seeds, water, agricultural extension services, training, credit(FAO,2011) • Narrowing the gender gaps in agriculture would increase agricultural output, enhance food security and reduce poverty
  6. 6. Cont’d • Gender statistics provide the inter-linkages to understand gender related challenges in food security, market access and economic productivity. • African countries face technical and institutional constraints in generating and using gender data • Isolated and scattered efforts to develop tools/framework but not very successful
  7. 7. Why are gender statistics important? • Provide evidence and unbiased foundation for gender responsive policies and interventions; • Monitor and evaluate policies and livelihood interventions with a gender outlook; • Increase awareness, convince policy makers/statistical bodies and promote change • For the achievement of national, regional and international goals for promoting gender equality; SDGs, MDGs, Beijing Platform for Action, among others • To reveal gender based differences in roles/activities, access to and control of resources, constraints, opportunities and benefits at the micro-level
  8. 8. Agricultural gender data collection initiatives • Several initiatives developed for generating and analyzing gender-relevant information for agriculture and rural development • A lot of work by FAO- SEAGA, Agri-gender toolkit, GASF etc.
  9. 9. Socio-Economic and Gender Analysis (SEAGA) framework Developed by FAO work to provide a gender perspective in data collection schemes, formulated upon 3 guiding principles (FAO,2010); • the importance of gender roles and relations • the need to prioritize disadvantaged people on policy agendas • the crucial need for multi-stakeholder consultative processes
  10. 10. Cont’d • Uses a combination of quantitative and qualitative methods for collecting gender- relevant information • Gender relations analysed at the micro, meso and macro levels • Help identify relevant gender-based indicators and sex-disaggregated data variables.
  11. 11. Key questions of the SEAGA: • Who does what? • Who owns what? • Who has access to/controls what? • Who knows what? • Who benefits?
  12. 12. Global strategy to Improve Agricultural and Rural Statistics Developed through joint collaboration between MoA, NSO, international statistical bodies and government institutions. Articulated around three pillars : • Identification of a minimum set of core data and national priorities • Integration of agriculture into national statistical systems • Sustainability of agricultural statistics through governance and capacity building
  13. 13. Key aspects of the global strategy • Analysis of agric issues should show clear interaction between the economic, social and environmental dimensions • Integration of gender issues in the three dimensions
  14. 14. Agri gender toolkit/database A statistical toolkit for supporting the production and analysis of gender statistics in agriculture Reflect upon the; • Roles and contribution of men and women farmers in the agricultural sector • Socio-economic status of agricultural populations in rural settings • Efforts made to address issues of food security, poverty alleviation, gender equality and women empowerment (FAO, 2007).
  15. 15. Data items from the Agri-Gender database Emphasis/scope Data categories Roles and contributions of men and women in the agricultural sector Agricultural population and households Access to productive resources Production and productivity Labour and time-use Efforts to address development issues Destination of agricultural produce Income and expenditures Membership in agricultural/farmer organizations Food security Poverty indicators Source: FAO, 2007
  16. 16. Gender and Agricultural Statistics Framework (GASF) • Developed by FAO and pilot tested in several South East Asian countries. • Is unique as it combines several other frameworks in its 5 stages of data collection and use. • GASF gives an overview of data collection and analysis systems and describes different types of activities involved in the production of gender statistics in agriculture
  17. 17. Stages of the GASF
  18. 18. African initiatives • Only one framework developed; Africa Programme on Gender Statistics (APGS) • APGS-brings together current and planned initiatives aimed at the development of gender statistics to avoid duplication of efforts and optimize the use of available resources • Indexes exist e.g. African Gender and Development Index (AGDI) by UN
  19. 19. Conclusion • Despite providing guidance on gender integration, these initiatives don’t factor in measurement issues, country context • Gender analysis is important to capture the contributions of both genders at all levels • For evidence based policy making, there is need for gender statistics;
  20. 20. Thank you! www.resakss.org

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