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Review of IFPRI’s Work on  Gender, Nutrition, and Food security in Asia Presentation given to the Asia Foundation: July 29, 2010
Women’s status and reductions in child undernutrition Contributions to reductions in child malnutrition, 1970-95 Source: Smith and Haddad 2000
October 14, 2008
Page  2009 GHI and the Education Subindex of the  2008 Gender Gap Index, 90 Countries
The relationship between GHI and gender inequality varies across regions Page
In South Asia… The strongest correlation with the GHI is with the  health and survival  subindex Four out of 5 countries (except Sri Lanka) rank between 80 th  and 88 th  of 90 countries in the health and survival subindex Linked with the low status of women: Maternal malnutrition linked with low birthweight Micronutrient malnutrition linked with poor prenatal and postnatal health of mothers Page
In Sub-Saharan Africa… Highest correlation of the GHI with gender inequality is in  education Less than a quarter of countries in region met MDG goal of gender parity in primary and secondary enrollment rates in 2005 Page
Child nutrition in South Asia * For age group 6-59 months 1. National Family Health Survey, India, 2005-06 2. Nepal Demographic Health Survey, 2006 3. Bangladesh Demographic Health Survey, 2004 4. Pakistan Demographic Health Survey, 2007 5. Sri Lanka Demographic Health Survey, 2007
Reductions in child underweight from 1988-92 to  2001-2006 Source: Global Hunger Index 2008; Appendix C
Social exclusion and undernutrition in India NFHS Report; India, 2005-06
Social factors and severe stunting in Nepal November 25, 2008
The window of most damage…and of opportunity
Why should we improve early childhood nutrition? % Source: Hoddinott et al. Lancet, 2008
Improving nutrition in early childhood  and adult wage rates Age when exposed to intervention  (months) p < 0.01 p < 0.01 p = 0.41 US$ / hour Source: Hoddinott et al. Lancet 2008
Pathways by which improving early nutrition increases wages BRAIN BRAWN Source: Behrman et al. in press Child development  (early childhood) Height at 3 y Height, strength, CV  resistance  (adulthood)  Schooling 1.2 grade  (women) Cognitive skills (adulthood )(0.25 SD) More skilled jobs
Drivers of maternal and child undernutrition Social  protection and gender policies and interventions are essential to make a difference! Black et al.,  Lancet  2008
SUMMARY: What we know about nutrition in S. Asia Overall levels of undernutrition are high and decline has been slow in the past 15 years throughout the region (except Sri Lanka) There is variability within the region – geographic, income-based, ethnic/social group-based, gender-based, etc. Addressing early childhood nutrition is crucial because of evidence of short term and long term gains The links between gender and nutrition are of particular concern but not often acknowledged in policies and programs
Just as gender relations are diverse across regions,  Asia itself is quite diverse, and gender relations play out differently across Asia South Asia Girls have less schooling   marry and have children early  Norms of female seclusion limit women’s ability to work outside the home Lack of control over assets and incomes reduce women’s bargaining power within the home Boys favored in health- and care –seeking, resulting in mortality differences. East and Southeast Asia More gender-egalitarian allocation of resources, no clear gender differences in nutritional outcomes High labor force participation rates outside the home, but… Women face work-child care tradeoffs 07/30/10
How do gender inequities in the “window of opportunity” lead to poor nutrition? Pre-pregnancy and pregnancy Low education Early marriage Early pregnancy Constraints to use of antenatal services (mobility, access to resources) Poor diets High workloads (at home and at work); lack of rest during pregnancy Domestic violence First two years of life Lack of support from family and community for infant care and breast feeding Resumption of work within and outside home soon after pregnancy Constraints to use of health and nutrition services (mobility, access to resources) Domestic violence* Gender-based differences in infant feeding and care seeking
What can be done about it? What does analytical research tell us? What does impact evaluation research tell us? Learn from IFPRI’s new work program on gender and assets:  (1) analytical methods and (2) impact evaluation I will briefly present results from both tracks of the research program, focusing on Bangladesh 07/30/10
RESULTS FROM ANALYTICAL RESEARCH 07/30/10
Domestic violence and malnutrition in Bangladesh Analysis using nationally representative data set (BDHS 2007) and IFPRI panel (1996/7-2006/7) shows: Attitudes tolerating domestic violence are associated with chronic child malnutrition (BDHS) Experience of domestic violence associated in lower rates of improvement in stunting and women’s own nutritional status (IFPRI panel) Sons of mothers who experience domestic violence do better relative to their sisters (IFPRI panel) 07/30/10
Women’s work and child nutrition in Vietnam and the Philippines Philippines:  women’s participation in nonfarm employment reduces short-run malnutrition (wasting), but has no impact on stunting Vietnam:  women’s work is a constraint to continuation of breastfeeding 07/30/10
Impact of shocks on  men’s and women’s assets, Bangladesh  Most commonly reported shocks, 1996-2006, Bangladesh
Estimating asset growth regressions shows that: Illness shocks reduce women’s assets Dowry and wedding expenses reduce husbands’ assets Since health shocks are the most prevalent shocks, lack of health insurance threatens women’s asset accumulation Implications for health insurance and social policy
RESULTS FROM IMPACT EVALUATIONS 07/30/10
Evaluating long-term impact of agricultural technology in Bangladesh  ( Kumar and Quisumbing 2010) Panel data set based on 957 households surveyed in 1996/7 and 2006/7 in study sites examining impact of new agricultural technologies  in rural Bangladesh 3 technologies/implementation modalities: 1.  improved vegetables for homestead production, disseminated through women’s groups (Saturia) 2.  fishpond technology through women’s groups (Jessore) 3.  fish pond technology targeted to individuals (Mymensingh) Page
Big picture story at the household level  (Kumar and Quisumbing 2009) Biggest gains to early adoption are in the individual fishpond sites, significant positive impacts on hh-level consumption, assets, calorie availability Short-term positive impact of early adoption in vegetables site dissipated in long run; technology is divisible and easy to adopt Short-term positive impact of group fishponds also dissipated over long run; income gains have to be shared by many families However, the story is quite different when we look at indicators of nutritional status, as well as individually owned assets Page
Impacts on nutrient intake and nutritional status (Kumar and Quisumbing 2010) In  individual fishpond   sites, aggregate nutrient availability increased; percentage of hh  members consuming below RDA decreased; stunting decreased; BUT: children’s and women’s BMIs have decreased. In  group fishpond  sites, later adopters did better in terms of nutrient intake, but early adopters realized improvements in long-run nutritional status of children.  However, ZBMI and percentage of kids with ZBMI<-2 increased In the  homestead vegetables  sites, despite reduction in hh food consumption (from expenditure data), there were improvements in nutritional status: increase in vit A and iron for men; reduction in proportion of hh members below iron and vit A RDAs; improvement in stunting rates (girls), women’s BMI and hemoglobin Did emphasis on vegetables, and targeting to women, improve nutrition even if income gains were minimal in the vegetables sites? Page
Impact of agricultural technology on men’s and women’s assets in Bangladesh  (Kumar and Quisumbing 2010) How have the agricultural technology programs contributed to: (1) asset growth of men and women; (2) reduction of the gender asset gap? We use   matching methods  to examine impact of the agricultural technology program over time on household and individual level outcomes,  men’s and women’s assets on average, and men’s and women’s assets within the same household. Three comparisons: NGO members with technology vs. NGO members without technology Early adopters vs. late adopters NGO members vs. non-NGO members We look at changes in husband’s assets relative to changes in wife’s assets  within the same household , focusing on exclusively owned assets Page
Suggestive conclusions  from Bangladesh study Implementation modalities matter :  women’s assets increased more by programs that targeted technologies through women’s groups Even when comparing an identical technology (polyculture fish technology), we find women’s assets increased more, relative to men’s, when women were targeted Nevertheless, the bulk of the household’s assets are controlled by men Intrahousehold impacts may be quite different from household-level impacts; looking at the household level, the individual fishpond program appears to be the big success, but looking at improvements in individual (women’s and children’s) nutritional status, group-based programs were more effective This reinforces the need to look within the household when evaluating impacts of programs and policies Page
Evaluation of food and cash transfers targeted to women (Ahmed et al. 2010)  Four transfer programs are studied:  Income-Generating Vulnerable Group Development (IGVGD):  “Only food”  Food Security Vulnerable Group Development (FSVGD):  “Food-cash combination”   Food for Asset-creation (FFA) component of the Integrated Food Security (IFS) program:  “Food-cash combination”   Rural Maintenance Program (RMP):  “Only cash”   Page
Monthly Value of Transfers Per Beneficiary (6-month average) Page
Composition of Transfer Value by Commodity Type Page
Impact on women’s empowerment outcomes (method:  propensity score matching)  Participating in either FFA or RMP has positive outcomes on many indicators of women’s empowerment RMP tends to have a large, positive impact on many outcomes FFA has a negative marginal impact relative to RMP for married women, but a positive impact on some outcomes for widows But how cost-effective are the programs? Page
Cost of increasing participation in food decisionmaking by 1% (taka) Page
Impact on decisions on food:  cost-effectiveness RMP is more cost-effective in increasing women’s participation in decision making on food expenditures It costs three times more for FFA to increase women’s participation in food decision making compared to RMP Page
Cost of increasing percentage of women taking NGO loans by 1% (taka) Page
Impact on taking NGO loans:  Cost-effectiveness IGVGD is the most cost effective in terms of the taka cost of increasing the percentage taking NGO loans by 1 percent:  only 6 taka, compared to 12 for FFA, 20 for RMP, and 45 for FSVGD But this also reflects differences in program priorities.  As mentioned earlier, taking NGO loans appears to be less of a priority for FSVGD. Page
Concluding remarks from cash-food evaluation The large positive impacts of FFA and RMP compared to the other two programs are probably due to the size of transfers, which are about twice those given in IGVGD and FSVGD Nevertheless, given differences in costs between programs, RMP is more cost-effective in increasing women’s participation in decision making over food, whereas IGVGD is more cost-effective in graduating poor women to the microfinance system Differences in cost-effectiveness performance will have to be weighed vis-à-vis program objectives Compared to a “food only” program, there seem to be some advantages to having cash However, compared to a “cash only” program, the advantages of having food are received only by widows.  Married women who participate in public works programs do better with cash. Page
Concluding remarks from cash-food evaluation, cont’d Why does receiving food not appear to strengthen women’s bargaining power within the household?  Seems to go against conventional wisdom Some explanations: The main food based program had much lower transfers than the cash-based program The economy has become more diversified, and cash is important Receiving cash allows women to expand their area of decisionmaking beyond their traditional roles as food providers and caregivers For widows and those who are divorced or separated, however, having direct control of some food may be important. Page
Caveats--1 Six blind men (or women) and the elephant Page
Caveats--2 Gender-related outcomes are very nuanced Statistical and econometric analysis can only tell you so much Gender relations change, and what may be an indicator of empowerment before may no longer be relevant over time Improvement of gender-related outcomes needs to be viewed in the context of overall program objectives Learn from both evaluations and feedback from beneficiaries and program officials to improve design and implementation Page

More Related Content

Gender nutrition food security in asia af final

  • 1. Review of IFPRI’s Work on Gender, Nutrition, and Food security in Asia Presentation given to the Asia Foundation: July 29, 2010
  • 2. Women’s status and reductions in child undernutrition Contributions to reductions in child malnutrition, 1970-95 Source: Smith and Haddad 2000
  • 4. Page 2009 GHI and the Education Subindex of the 2008 Gender Gap Index, 90 Countries
  • 5. The relationship between GHI and gender inequality varies across regions Page
  • 6. In South Asia… The strongest correlation with the GHI is with the health and survival subindex Four out of 5 countries (except Sri Lanka) rank between 80 th and 88 th of 90 countries in the health and survival subindex Linked with the low status of women: Maternal malnutrition linked with low birthweight Micronutrient malnutrition linked with poor prenatal and postnatal health of mothers Page
  • 7. In Sub-Saharan Africa… Highest correlation of the GHI with gender inequality is in education Less than a quarter of countries in region met MDG goal of gender parity in primary and secondary enrollment rates in 2005 Page
  • 8. Child nutrition in South Asia * For age group 6-59 months 1. National Family Health Survey, India, 2005-06 2. Nepal Demographic Health Survey, 2006 3. Bangladesh Demographic Health Survey, 2004 4. Pakistan Demographic Health Survey, 2007 5. Sri Lanka Demographic Health Survey, 2007
  • 9. Reductions in child underweight from 1988-92 to 2001-2006 Source: Global Hunger Index 2008; Appendix C
  • 10. Social exclusion and undernutrition in India NFHS Report; India, 2005-06
  • 11. Social factors and severe stunting in Nepal November 25, 2008
  • 12. The window of most damage…and of opportunity
  • 13. Why should we improve early childhood nutrition? % Source: Hoddinott et al. Lancet, 2008
  • 14. Improving nutrition in early childhood and adult wage rates Age when exposed to intervention (months) p < 0.01 p < 0.01 p = 0.41 US$ / hour Source: Hoddinott et al. Lancet 2008
  • 15. Pathways by which improving early nutrition increases wages BRAIN BRAWN Source: Behrman et al. in press Child development (early childhood) Height at 3 y Height, strength, CV resistance (adulthood) Schooling 1.2 grade (women) Cognitive skills (adulthood )(0.25 SD) More skilled jobs
  • 16. Drivers of maternal and child undernutrition Social protection and gender policies and interventions are essential to make a difference! Black et al., Lancet 2008
  • 17. SUMMARY: What we know about nutrition in S. Asia Overall levels of undernutrition are high and decline has been slow in the past 15 years throughout the region (except Sri Lanka) There is variability within the region – geographic, income-based, ethnic/social group-based, gender-based, etc. Addressing early childhood nutrition is crucial because of evidence of short term and long term gains The links between gender and nutrition are of particular concern but not often acknowledged in policies and programs
  • 18. Just as gender relations are diverse across regions, Asia itself is quite diverse, and gender relations play out differently across Asia South Asia Girls have less schooling  marry and have children early Norms of female seclusion limit women’s ability to work outside the home Lack of control over assets and incomes reduce women’s bargaining power within the home Boys favored in health- and care –seeking, resulting in mortality differences. East and Southeast Asia More gender-egalitarian allocation of resources, no clear gender differences in nutritional outcomes High labor force participation rates outside the home, but… Women face work-child care tradeoffs 07/30/10
  • 19. How do gender inequities in the “window of opportunity” lead to poor nutrition? Pre-pregnancy and pregnancy Low education Early marriage Early pregnancy Constraints to use of antenatal services (mobility, access to resources) Poor diets High workloads (at home and at work); lack of rest during pregnancy Domestic violence First two years of life Lack of support from family and community for infant care and breast feeding Resumption of work within and outside home soon after pregnancy Constraints to use of health and nutrition services (mobility, access to resources) Domestic violence* Gender-based differences in infant feeding and care seeking
  • 20. What can be done about it? What does analytical research tell us? What does impact evaluation research tell us? Learn from IFPRI’s new work program on gender and assets: (1) analytical methods and (2) impact evaluation I will briefly present results from both tracks of the research program, focusing on Bangladesh 07/30/10
  • 21. RESULTS FROM ANALYTICAL RESEARCH 07/30/10
  • 22. Domestic violence and malnutrition in Bangladesh Analysis using nationally representative data set (BDHS 2007) and IFPRI panel (1996/7-2006/7) shows: Attitudes tolerating domestic violence are associated with chronic child malnutrition (BDHS) Experience of domestic violence associated in lower rates of improvement in stunting and women’s own nutritional status (IFPRI panel) Sons of mothers who experience domestic violence do better relative to their sisters (IFPRI panel) 07/30/10
  • 23. Women’s work and child nutrition in Vietnam and the Philippines Philippines: women’s participation in nonfarm employment reduces short-run malnutrition (wasting), but has no impact on stunting Vietnam: women’s work is a constraint to continuation of breastfeeding 07/30/10
  • 24. Impact of shocks on men’s and women’s assets, Bangladesh Most commonly reported shocks, 1996-2006, Bangladesh
  • 25. Estimating asset growth regressions shows that: Illness shocks reduce women’s assets Dowry and wedding expenses reduce husbands’ assets Since health shocks are the most prevalent shocks, lack of health insurance threatens women’s asset accumulation Implications for health insurance and social policy
  • 26. RESULTS FROM IMPACT EVALUATIONS 07/30/10
  • 27. Evaluating long-term impact of agricultural technology in Bangladesh ( Kumar and Quisumbing 2010) Panel data set based on 957 households surveyed in 1996/7 and 2006/7 in study sites examining impact of new agricultural technologies in rural Bangladesh 3 technologies/implementation modalities: 1. improved vegetables for homestead production, disseminated through women’s groups (Saturia) 2. fishpond technology through women’s groups (Jessore) 3. fish pond technology targeted to individuals (Mymensingh) Page
  • 28. Big picture story at the household level (Kumar and Quisumbing 2009) Biggest gains to early adoption are in the individual fishpond sites, significant positive impacts on hh-level consumption, assets, calorie availability Short-term positive impact of early adoption in vegetables site dissipated in long run; technology is divisible and easy to adopt Short-term positive impact of group fishponds also dissipated over long run; income gains have to be shared by many families However, the story is quite different when we look at indicators of nutritional status, as well as individually owned assets Page
  • 29. Impacts on nutrient intake and nutritional status (Kumar and Quisumbing 2010) In individual fishpond sites, aggregate nutrient availability increased; percentage of hh members consuming below RDA decreased; stunting decreased; BUT: children’s and women’s BMIs have decreased. In group fishpond sites, later adopters did better in terms of nutrient intake, but early adopters realized improvements in long-run nutritional status of children. However, ZBMI and percentage of kids with ZBMI<-2 increased In the homestead vegetables sites, despite reduction in hh food consumption (from expenditure data), there were improvements in nutritional status: increase in vit A and iron for men; reduction in proportion of hh members below iron and vit A RDAs; improvement in stunting rates (girls), women’s BMI and hemoglobin Did emphasis on vegetables, and targeting to women, improve nutrition even if income gains were minimal in the vegetables sites? Page
  • 30. Impact of agricultural technology on men’s and women’s assets in Bangladesh (Kumar and Quisumbing 2010) How have the agricultural technology programs contributed to: (1) asset growth of men and women; (2) reduction of the gender asset gap? We use matching methods to examine impact of the agricultural technology program over time on household and individual level outcomes, men’s and women’s assets on average, and men’s and women’s assets within the same household. Three comparisons: NGO members with technology vs. NGO members without technology Early adopters vs. late adopters NGO members vs. non-NGO members We look at changes in husband’s assets relative to changes in wife’s assets within the same household , focusing on exclusively owned assets Page
  • 31. Suggestive conclusions from Bangladesh study Implementation modalities matter : women’s assets increased more by programs that targeted technologies through women’s groups Even when comparing an identical technology (polyculture fish technology), we find women’s assets increased more, relative to men’s, when women were targeted Nevertheless, the bulk of the household’s assets are controlled by men Intrahousehold impacts may be quite different from household-level impacts; looking at the household level, the individual fishpond program appears to be the big success, but looking at improvements in individual (women’s and children’s) nutritional status, group-based programs were more effective This reinforces the need to look within the household when evaluating impacts of programs and policies Page
  • 32. Evaluation of food and cash transfers targeted to women (Ahmed et al. 2010) Four transfer programs are studied: Income-Generating Vulnerable Group Development (IGVGD): “Only food” Food Security Vulnerable Group Development (FSVGD): “Food-cash combination” Food for Asset-creation (FFA) component of the Integrated Food Security (IFS) program: “Food-cash combination” Rural Maintenance Program (RMP): “Only cash” Page
  • 33. Monthly Value of Transfers Per Beneficiary (6-month average) Page
  • 34. Composition of Transfer Value by Commodity Type Page
  • 35. Impact on women’s empowerment outcomes (method: propensity score matching) Participating in either FFA or RMP has positive outcomes on many indicators of women’s empowerment RMP tends to have a large, positive impact on many outcomes FFA has a negative marginal impact relative to RMP for married women, but a positive impact on some outcomes for widows But how cost-effective are the programs? Page
  • 36. Cost of increasing participation in food decisionmaking by 1% (taka) Page
  • 37. Impact on decisions on food: cost-effectiveness RMP is more cost-effective in increasing women’s participation in decision making on food expenditures It costs three times more for FFA to increase women’s participation in food decision making compared to RMP Page
  • 38. Cost of increasing percentage of women taking NGO loans by 1% (taka) Page
  • 39. Impact on taking NGO loans: Cost-effectiveness IGVGD is the most cost effective in terms of the taka cost of increasing the percentage taking NGO loans by 1 percent: only 6 taka, compared to 12 for FFA, 20 for RMP, and 45 for FSVGD But this also reflects differences in program priorities. As mentioned earlier, taking NGO loans appears to be less of a priority for FSVGD. Page
  • 40. Concluding remarks from cash-food evaluation The large positive impacts of FFA and RMP compared to the other two programs are probably due to the size of transfers, which are about twice those given in IGVGD and FSVGD Nevertheless, given differences in costs between programs, RMP is more cost-effective in increasing women’s participation in decision making over food, whereas IGVGD is more cost-effective in graduating poor women to the microfinance system Differences in cost-effectiveness performance will have to be weighed vis-à-vis program objectives Compared to a “food only” program, there seem to be some advantages to having cash However, compared to a “cash only” program, the advantages of having food are received only by widows. Married women who participate in public works programs do better with cash. Page
  • 41. Concluding remarks from cash-food evaluation, cont’d Why does receiving food not appear to strengthen women’s bargaining power within the household? Seems to go against conventional wisdom Some explanations: The main food based program had much lower transfers than the cash-based program The economy has become more diversified, and cash is important Receiving cash allows women to expand their area of decisionmaking beyond their traditional roles as food providers and caregivers For widows and those who are divorced or separated, however, having direct control of some food may be important. Page
  • 42. Caveats--1 Six blind men (or women) and the elephant Page
  • 43. Caveats--2 Gender-related outcomes are very nuanced Statistical and econometric analysis can only tell you so much Gender relations change, and what may be an indicator of empowerment before may no longer be relevant over time Improvement of gender-related outcomes needs to be viewed in the context of overall program objectives Learn from both evaluations and feedback from beneficiaries and program officials to improve design and implementation Page

Editor's Notes

  1. Draws heavily on work of Purnima Menon (PHND) and Anjor Baskar from NDO; Neha Kumar (PHND), Ahkter Ahmed (PHND)
  2. Almost 10 years ago, IFPRI colleagues Lisa Smith and Lawrence Haddad pointed to the big contribution that improvements in women’s education and women’s status made to reductions in child malnutrition worldwide
  3. More recent findings…Every year since 2007, IFPRI computes the new Global Hunger Index. Last year, correlated this with the GGI index produced by the World Economic Forum. Overall, there is a strong, negative correlation between gender equality and global hunger. Component with highest correlation with global hunger is the education sub-index, followed by the health sub-index.
  4. Strongest correlation is with education…with a notable regional exception.
  5. If we look at the trends in the underlying components, we see a relatively steady decline in under five mortality rates over the last 15 years or so.
  6. But social exclusion—in its various forms—is highly correlated with malnutrition
  7. Most growth faltering occurs between 0 to 24 months. Kids start off close to normal (0 SD) but then deteriorate.
  8. I may be preaching to the choir, but…
  9. Negative effect on hours, positive (insig) effect on total income. But, productivity. 0-2 had greatest impact
  10. The India State Hunger Index 2008 findings highlight the continued overall severity of the hunger situation in India, while revealing the variability in hunger across states within India. It is indeed alarming that not a single state in India is either low or moderate in terms of their hunger index scores; most states have a “serious” hunger problem, and one state, Madhya Pradesh, has an extremely alarming hunger problem
  11. And even within Asia, the link between gender and nutrition is mediated by differences in social, economic, and cultural conditions. Why does this matter in terms of child nutrition? Why do we care?