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Poverty transitions, shocks, and
consumption in rural Bangladesh,
       1996-97 to 2006-07
              Agnes Quisumbing
       Poverty, Health, and Nutrition Division
     International Food Policy Research Institute
Introduction
• Bangladesh → impressive reductions in poverty in the
  last decade
• Population living in poverty: fell from 51% in 1995 to
  40% in 2005 (BBS 2006)
• Substantial improvements in non-monetary indicators
  of the poorest (Sen and Hulme, 2006).
• However, more than 36 million people live below the
  food poverty line (BBS, 2006)
• Reducing poverty—and lifting the extreme poor out of
  poverty—remains a major development challenge
Casual observation suggests that there have been
    many changes over the past decade…
And some of these changes are more subtle…but
                quite important
Some individuals/households have clearly been
  able to move out of poverty, and others, not.




Why are some people
still in poverty, while
others been able to
move out?
Understanding poverty dynamics in rural
                     Bangladesh

We use data from the CPRC-DATA-IFPRI longitudinal
study (1996/97 to 2006/07) to:
    –     estimate poverty transition categories (chronic poor, moving
         up, falling into poverty, never poor)
    –    analyze the determinants of belonging to a given poverty
         transition category
    –    analyze the determinants of per capita consumption
We take into account the role of initial household
characteristics and shocks
We also draw on qualitative work undertaken prior to the
survey, and after the survey, to enrich our interpretation of
results
Data available at: http://www.ifpri.org/dataset/chronic-poverty-and-long-term-
impact-study-bangladesh
Poverty and poverty transition categories

                                Agricultural technology
                                (1996-2006)


Poverty headcount
Poverty in baseline survey      62%

Poverty in 2006/2007            13%
Poverty transitions
Chronic poor                    11%
Falling into poverty            2%
Moving out of poverty           51%
Never poor                      36%
Initial household characteristics affect chronic
          poverty and hh consumption


• The probability of chronic poverty is negatively
  associated with schooling & the value of non-land
  assets

• Higher proportions of young children and older
  people are also associated with being chronically
  poor and lower per capita consumption
Most common shocks experienced by households
       over the last 10 years, 1996-2006
Shocks also affect chronic poverty and household
                  consumption
• Death of the main income
  earner and illness-related
  income loss have the
  biggest negative impact
  on per capita
  consumption

• Floods are not significant
  —possibly because of
  effective emergency
  assistance mechanisms
The double whammy
       Life histories interviews are useful
       both for triangulating the poverty
       transitions observed in the
       household survey data and for
       understanding the drivers of
       consumption changes and
       movements into and out of poverty.

       Life histories showed that the
       combination of dowry expenses
       and illness expenses (associated
       with aging parents) pushed
       households into chronic poverty
Policy implications--1
• Need for policy interventions to increase
  access to and improve quality of
  education
• Need to provide poor with opportunities to
  build up and trade up assets and protect
  asset base from shocks
• Required protection from shocks may
  differ for men and women: women’s
  assets tend to be drawn down by illness
  shocks
Policy implications--2
• How to address issue of dowries and illness shocks
• Addressing dowries is controversial, although worldwide
  dowries have tended to decline as investments in girls’
  human capital increase (can we wait?)
• Providing instruments to cope with illness is less
  controversial (microinsurance)
• NGOs and civil society organizations may pave the way
  in changing gender norms around dowries, and in
  providing ways to manage risk

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Why Poverty Persists by Agnes Quisumbing

  • 1. Poverty transitions, shocks, and consumption in rural Bangladesh, 1996-97 to 2006-07 Agnes Quisumbing Poverty, Health, and Nutrition Division International Food Policy Research Institute
  • 2. Introduction • Bangladesh → impressive reductions in poverty in the last decade • Population living in poverty: fell from 51% in 1995 to 40% in 2005 (BBS 2006) • Substantial improvements in non-monetary indicators of the poorest (Sen and Hulme, 2006). • However, more than 36 million people live below the food poverty line (BBS, 2006) • Reducing poverty—and lifting the extreme poor out of poverty—remains a major development challenge
  • 3. Casual observation suggests that there have been many changes over the past decade…
  • 4. And some of these changes are more subtle…but quite important
  • 5. Some individuals/households have clearly been able to move out of poverty, and others, not. Why are some people still in poverty, while others been able to move out?
  • 6. Understanding poverty dynamics in rural Bangladesh We use data from the CPRC-DATA-IFPRI longitudinal study (1996/97 to 2006/07) to: – estimate poverty transition categories (chronic poor, moving up, falling into poverty, never poor) – analyze the determinants of belonging to a given poverty transition category – analyze the determinants of per capita consumption We take into account the role of initial household characteristics and shocks We also draw on qualitative work undertaken prior to the survey, and after the survey, to enrich our interpretation of results Data available at: http://www.ifpri.org/dataset/chronic-poverty-and-long-term- impact-study-bangladesh
  • 7. Poverty and poverty transition categories Agricultural technology (1996-2006) Poverty headcount Poverty in baseline survey 62% Poverty in 2006/2007 13% Poverty transitions Chronic poor 11% Falling into poverty 2% Moving out of poverty 51% Never poor 36%
  • 8. Initial household characteristics affect chronic poverty and hh consumption • The probability of chronic poverty is negatively associated with schooling & the value of non-land assets • Higher proportions of young children and older people are also associated with being chronically poor and lower per capita consumption
  • 9. Most common shocks experienced by households over the last 10 years, 1996-2006
  • 10. Shocks also affect chronic poverty and household consumption • Death of the main income earner and illness-related income loss have the biggest negative impact on per capita consumption • Floods are not significant —possibly because of effective emergency assistance mechanisms
  • 11. The double whammy Life histories interviews are useful both for triangulating the poverty transitions observed in the household survey data and for understanding the drivers of consumption changes and movements into and out of poverty. Life histories showed that the combination of dowry expenses and illness expenses (associated with aging parents) pushed households into chronic poverty
  • 12. Policy implications--1 • Need for policy interventions to increase access to and improve quality of education • Need to provide poor with opportunities to build up and trade up assets and protect asset base from shocks • Required protection from shocks may differ for men and women: women’s assets tend to be drawn down by illness shocks
  • 13. Policy implications--2 • How to address issue of dowries and illness shocks • Addressing dowries is controversial, although worldwide dowries have tended to decline as investments in girls’ human capital increase (can we wait?) • Providing instruments to cope with illness is less controversial (microinsurance) • NGOs and civil society organizations may pave the way in changing gender norms around dowries, and in providing ways to manage risk

Hinweis der Redaktion

  1. Work done jointly with CPRC and DATA, worked closely with Bob Baulch and Peter Davis
  2. The little girl on the right is carrying her school materials. More girls are going to school.
  3. Our poverty rates lower than BBS, possibly b/c our hhs are not landless
  4. What does the distribution of shocks look like? Can classify into life-cycle events, idiosyncratic, covariate shocks
  5. There are seasonal floods as well as major floods—this particular flood did not attract a lot of attention (August 2007)
  6. This family is sitting on a demographic time bomb—marriageable daughters and aging parents
  7. Intervention run by NGO to provide scholarships conditional on delayed age at marriage. Pop Council is also evaluating impact of secondary school stipend on age at marriage