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Data Analysis and Technical Assistance Ltd Evaluating the Long-term Impact of Agricultural Technologies in Bangladesh: Household and Intrahousehold Effects  Neha Kumar (IFPRI) Agnes Quisumbing (IFPRI)
Introduction  There is a strong link between gender and malnutrition in Bangladesh Women and children are vulnerable to micronutrient deficiencies owing to higher biological needs and pro-male bias in food distribution Similar to rest of South Asia, low status of women contributes to poor nutritional status of women and children Page 2
Are agricultural technologies a solution? Possibility that vegetable and polyculture fish technologies can improve micronutrient status through: (1) increasing supply of micronutrients to general population; (2) directly improving incomes and intakes of producing households  Different implementation modalities have been used to disseminate these technologies—some targeted to households (husbands by default) and others through women’s groups Page 3
Research questions What are the long-term impacts of improved vegetable and fish technologies on household and individual-level outcomes? Household level outcomes (per capita and per adult equivalent consumption, assets, hh nutrient availability) Individual-level outcomes (nutritional status of men, women, boys, girls) How have different implementation modalities affected the asset portfolios of husbands and wives? What factors explain the differential impact of the interventions on household-level and individual outcomes? Page 4
Long-term vs. short-term impact evaluations Timing of evaluations—how long after the program is introduced, and the duration of exposure of the target group to the program—matters Estimated impacts from short-term impact evaluations may be different from long-term or sustained impact In the case of agricultural technologies, type of technology also matters—whether lumpy (high fixed costs) or divisible (low fixed costs, easily adopted) Page 5
Page 6 Revisiting agricultural technology sites after 10 years 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 7
Impact Assessment Methodology Evaluating impacts of each program on various outcomes (e.g., per capita consumption, food consumption, assets, schooling, nutritional status, etc.) Construct a counterfactual measure: What would outcomes have been without the program? Requires “control group” - a group that that differs from participant group ONLY in that they don’t participate Comparisons:   early adopters vs. late adopters NGO members vs. non-NGO members Use propensity score matching and covariate matching to create this control group “Difference-in-difference” analysis allows us to control for unobservables that don’t change over time
Many of the changes over the last 10 years are quite visible.  Understanding these is the challenge!
Overall, many households have moved out of  poverty
Focus group discussions show that agricultural technologies have improved people’s lives Page 11
Impact estimates Page 12
Household level impacts (difference-in-difference in % change)  Page 13
Summary of long-term impact at the household level from matching exercises Biggest gains to early adoption are in the individual fishpond sites, significant positive impacts on hh-level consumption, assets, calorie availability.  Returns to fixed investment achieved over time.  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 Note that absence of impact or negative impact does not mean that early adopters lost, but rather that the later adopters did better Page 14
Impacts on nutritional status(difference-in-difference in % change)  Page 15
Summary of impacts at the individual level: Nutrient intake and nutritional status In individual fishpondsites, stunting rates for girls increased more for early adopters In group fishpond sites, stunting rates for girls increased more for early adopters In the homestead vegetables sites, despite small income gains, stunting rates of girls decreased, women’s BMI increased Stunting rates for boys decreased in all sites, though not statistically significant Did emphasis on vegetables (iron- and vitamin-A rich food) and  targeting to women improve nutrition (particularly of girls) even if income gains were small in the vegetables sites? Page 16
Impact of early adoption on differential growth of husband’s vs. wife’s assets(H-W, difference in difference) Page 17
Impact of NGO or program membership on differential growth of husband’s vs. wife’s assets(H-W, difference-in-difference) Page 18
Several factors affect long-term impact of agricultural technologies Differences in dissemination and targeting mechanisms may affect what kinds of households—and individuals within households—adopt and benefit from technologies Type of technology: degree to which technology is divisible and easily disseminated Implementation modalities:  women’s assets , nutritional status improved more by programs that targeted technologies through women’s groups Intrahousehold allocation process: who within the household benefits from the technologies This reinforces the need to look within the household when evaluating impacts of programs and policies Page 19
Introducing the Gender and Agricultural Assets Project (GAAP) Page 20
Purpose To  reduce the gap between men’s and women’s control and ownership of assets, broadly defined, by evaluating howand how well agricultural development programs build women’s assets IFPRI and ILRI as lead research institutions Three-year project, supported by the Bill and Melinda Gates Foundation
Why assets? Control over and ownership of assets is a critical component to well-being Increasing control/ownership of assets help create pathways out of poverty more than measures that aim to increase incomes or consumption alone
Different types of assets matter Natural capital Physical capital Financial capital Human capital Social capital Political capital Tangible and Intangible assets
Why look at control of assets? Who controls assets within the household matters Households do not pool resources nor share the same preferences Who receives resources determines impact of policy Evidence from many countries that increasing resources controlled by women improves child health and nutrition, agricultural productivity, income growth
Why does a gender gap in assets persist? We know a lot about:  how to target women with development interventions how to improve participation what to do to increase the chances that they will benefit from agdevt projects, including working with men to change attitudes and behaviors that limit women’s economic opportunities.  But these methods are still not widely used in development projects Have not been addressing gender gap in assets
Research and evaluation Evaluate8-10 agricultural development projects identify the projects’ impacts on women’s assets clarify which strategies have been successful in reducing gender gaps in asset access and ownership Participatory process between implementors and evaluation partners Use existing baseline surveys and new targeted studies (qualitative and quantitative) to document men’s and women’s assets and the change in those levels over the life of the project
Capacity building and dissemination Provide training and technical assistance to program staff in methods to identify and address gender disparities in assets. Contribute to a development toolkit to reduce gender asset disparities and help to place gender considerations at the center of agricultural development.
See http://genderassets.wordpress.com Watch this space!

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Equity and Nutrition Through Agriculture_Quisumbing_5.10.11

  • 1. Data Analysis and Technical Assistance Ltd Evaluating the Long-term Impact of Agricultural Technologies in Bangladesh: Household and Intrahousehold Effects Neha Kumar (IFPRI) Agnes Quisumbing (IFPRI)
  • 2. Introduction There is a strong link between gender and malnutrition in Bangladesh Women and children are vulnerable to micronutrient deficiencies owing to higher biological needs and pro-male bias in food distribution Similar to rest of South Asia, low status of women contributes to poor nutritional status of women and children Page 2
  • 3. Are agricultural technologies a solution? Possibility that vegetable and polyculture fish technologies can improve micronutrient status through: (1) increasing supply of micronutrients to general population; (2) directly improving incomes and intakes of producing households Different implementation modalities have been used to disseminate these technologies—some targeted to households (husbands by default) and others through women’s groups Page 3
  • 4. Research questions What are the long-term impacts of improved vegetable and fish technologies on household and individual-level outcomes? Household level outcomes (per capita and per adult equivalent consumption, assets, hh nutrient availability) Individual-level outcomes (nutritional status of men, women, boys, girls) How have different implementation modalities affected the asset portfolios of husbands and wives? What factors explain the differential impact of the interventions on household-level and individual outcomes? Page 4
  • 5. Long-term vs. short-term impact evaluations Timing of evaluations—how long after the program is introduced, and the duration of exposure of the target group to the program—matters Estimated impacts from short-term impact evaluations may be different from long-term or sustained impact In the case of agricultural technologies, type of technology also matters—whether lumpy (high fixed costs) or divisible (low fixed costs, easily adopted) Page 5
  • 6. Page 6 Revisiting agricultural technology sites after 10 years 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)
  • 8. Impact Assessment Methodology Evaluating impacts of each program on various outcomes (e.g., per capita consumption, food consumption, assets, schooling, nutritional status, etc.) Construct a counterfactual measure: What would outcomes have been without the program? Requires “control group” - a group that that differs from participant group ONLY in that they don’t participate Comparisons: early adopters vs. late adopters NGO members vs. non-NGO members Use propensity score matching and covariate matching to create this control group “Difference-in-difference” analysis allows us to control for unobservables that don’t change over time
  • 9. Many of the changes over the last 10 years are quite visible. Understanding these is the challenge!
  • 10. Overall, many households have moved out of poverty
  • 11. Focus group discussions show that agricultural technologies have improved people’s lives Page 11
  • 13. Household level impacts (difference-in-difference in % change) Page 13
  • 14. Summary of long-term impact at the household level from matching exercises Biggest gains to early adoption are in the individual fishpond sites, significant positive impacts on hh-level consumption, assets, calorie availability. Returns to fixed investment achieved over time. 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 Note that absence of impact or negative impact does not mean that early adopters lost, but rather that the later adopters did better Page 14
  • 15. Impacts on nutritional status(difference-in-difference in % change) Page 15
  • 16. Summary of impacts at the individual level: Nutrient intake and nutritional status In individual fishpondsites, stunting rates for girls increased more for early adopters In group fishpond sites, stunting rates for girls increased more for early adopters In the homestead vegetables sites, despite small income gains, stunting rates of girls decreased, women’s BMI increased Stunting rates for boys decreased in all sites, though not statistically significant Did emphasis on vegetables (iron- and vitamin-A rich food) and targeting to women improve nutrition (particularly of girls) even if income gains were small in the vegetables sites? Page 16
  • 17. Impact of early adoption on differential growth of husband’s vs. wife’s assets(H-W, difference in difference) Page 17
  • 18. Impact of NGO or program membership on differential growth of husband’s vs. wife’s assets(H-W, difference-in-difference) Page 18
  • 19. Several factors affect long-term impact of agricultural technologies Differences in dissemination and targeting mechanisms may affect what kinds of households—and individuals within households—adopt and benefit from technologies Type of technology: degree to which technology is divisible and easily disseminated Implementation modalities: women’s assets , nutritional status improved more by programs that targeted technologies through women’s groups Intrahousehold allocation process: who within the household benefits from the technologies This reinforces the need to look within the household when evaluating impacts of programs and policies Page 19
  • 20. Introducing the Gender and Agricultural Assets Project (GAAP) Page 20
  • 21. Purpose To reduce the gap between men’s and women’s control and ownership of assets, broadly defined, by evaluating howand how well agricultural development programs build women’s assets IFPRI and ILRI as lead research institutions Three-year project, supported by the Bill and Melinda Gates Foundation
  • 22. Why assets? Control over and ownership of assets is a critical component to well-being Increasing control/ownership of assets help create pathways out of poverty more than measures that aim to increase incomes or consumption alone
  • 23. Different types of assets matter Natural capital Physical capital Financial capital Human capital Social capital Political capital Tangible and Intangible assets
  • 24. Why look at control of assets? Who controls assets within the household matters Households do not pool resources nor share the same preferences Who receives resources determines impact of policy Evidence from many countries that increasing resources controlled by women improves child health and nutrition, agricultural productivity, income growth
  • 25. Why does a gender gap in assets persist? We know a lot about: how to target women with development interventions how to improve participation what to do to increase the chances that they will benefit from agdevt projects, including working with men to change attitudes and behaviors that limit women’s economic opportunities. But these methods are still not widely used in development projects Have not been addressing gender gap in assets
  • 26. Research and evaluation Evaluate8-10 agricultural development projects identify the projects’ impacts on women’s assets clarify which strategies have been successful in reducing gender gaps in asset access and ownership Participatory process between implementors and evaluation partners Use existing baseline surveys and new targeted studies (qualitative and quantitative) to document men’s and women’s assets and the change in those levels over the life of the project
  • 27. Capacity building and dissemination Provide training and technical assistance to program staff in methods to identify and address gender disparities in assets. Contribute to a development toolkit to reduce gender asset disparities and help to place gender considerations at the center of agricultural development.

Editor's Notes

  1. Our poverty rates lower than BBS, possibly b/c our hhs are not landless
  2. However, the picture is quite different once we look at intrahousehold impacts on nutritional status
  3. A negative number means that wives’ assets are growing faster than husbands’ assets—gender asset inequality is going down
  4. We are thinking about a large range of assets: human capital, physical, etc.