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CCR “North-South”
                         petence in Research - NC




                                                                    Welfare distributions
                                                                    in space
                                    R




                                                                        Spatial Patterns of Poverty
Swiss National Cen of Comp




                                                                          in Vietnam and Laos
                 nter




                                                                                                        Michael Epprecht
      N




                                                                                      Chiang Mai; October 31 - November 2 2007
                                                                                                                        2,
‘Measuring’ Poverty

 Expenditure approach
 total household per capita consumption,
 including the value of home production

 Poverty Rate
 (share of population below a specific
 ‘poverty line’)
  poverty line )
Spatial aspects of human welfare

  Poverty map of
  Vietnam:
  Vi t

    » Based on 1998 VLSS       Poverty rate
                               (% of population
    » Sample of 6000           below the
                               poverty line)
                                     t li )

      households

        Representative at
     regional level only
Small Area Estimation

Combine information from two data sources to
generate expenditure data for the whole population:
Sample survey data, and Census data
» Use household survey data to predict household per capita
  expenditure using household characteristics
» Apply coefficients to same household characteristics in
  census
         sample survey data set                 census data set
» Aggregate from household to -“small area” such as district
        v1                       v’1
     -       β1                         β1
  or -commune2
        v2   β                -  v’2    β2
        ...                       y       ...                     ^
                                                                  y
                βn                                 βn
    -   vn                            -   v’n
Model applied to Vietnam

Household size and                 Housing
composition
   p                               »   House type
»   Household size                 »   Living area
»   Proportion of elderly
                                   »   Type of roof
»   Proportion of children
                                   »   Type of floor
                                              f fl
»   Proportion of females
                                   »   Type of water source
Education
                                   »   Type of toilet
» Education of head of household
                                   »   Electricity
» Education of spouse
Characteristics of head of         Ownership of assets
household
h    h ld                          » Radio
» Ethnicity                        » Television
» Occupation                       Location
                                   » Urban/Rural
                                   » Elevation and coordinates
Poverty in Vietnam
          and L
            d Laos
Where are the poor?
  ABSOLUTEdensity of
  Population number
  PERCENTAGE of
  people below poverty
  p pp
  population below y
                 p
  line
  poverty line
  (“poverty density”)
  (poverty incidence)
Poverty rates & poverty density

   Althoughg
   upland areas
   have higher
   poverty rate
             rate,
   most of the poor
   live in deltas
   and along coast
      d l          t
   Poverty
   assistance
     ss s ce
   should not be
   limited to
   poorest areas
Poverty in Laos
The geography of poverty and inequality


 Poverty rates highest in
 “remote rural highlands”
                  g
Poverty rates


        ethnic
majorities minorities
Poverty rates



 Spatial variation
 in l ti hi
 i relationships:
Influence of
     annual rainfall
on district-level poverty
incidence.
Conclusions - Methodology

 Poverty mapping method
       y   pp g
  » Statistical method produces
      spatially highly disaggregated estimates of
       p       y g y       gg g
      poverty that
      are generally considered to be more
           g       y
      reliable and consistent than those from
      the administrative reporting system
Conclusions - Methodology

Poverty mapping method (cont.)
      y   pp g         (     )
» But, the method:
    does not produce reliable information below
             p
    the commune/ village level
       combination with local participatory approaches
                              p      p    y pp

    is very data intensive, i.e. cannot easily be
    updated frequently
      limitations of the method in the face of mass
    migration (maps qu c y ou d ed?)
      g    o ( ps quickly outdated?)
Acknowledgements
Vietnam:
    Minot, N.; Baulch, B. and Epprecht, M. (2006)
    Poverty and inequality in Vietnam — Spatial
    Patterns and geographic determinants. IFPRI
    research report #148 International Food Policy
                     #148,
    Research Institute, Washington DC.
    http://www.ifpri.org/PUBS/abstract/rr148.asp
       p        fp     g                       p
Laos:
    DRAFT RESULTS of a project on
    ‘Poverty mapping in Lao PDR’
       please do not quote or reproduce

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Spatial Patterns of Poverty in Vietnam and Laos

  • 1. CCR “North-South” petence in Research - NC Welfare distributions in space R Spatial Patterns of Poverty Swiss National Cen of Comp in Vietnam and Laos nter Michael Epprecht N Chiang Mai; October 31 - November 2 2007 2,
  • 2. ‘Measuring’ Poverty Expenditure approach total household per capita consumption, including the value of home production Poverty Rate (share of population below a specific ‘poverty line’) poverty line )
  • 3. Spatial aspects of human welfare Poverty map of Vietnam: Vi t » Based on 1998 VLSS Poverty rate (% of population » Sample of 6000 below the poverty line) t li ) households Representative at regional level only
  • 4. Small Area Estimation Combine information from two data sources to generate expenditure data for the whole population: Sample survey data, and Census data » Use household survey data to predict household per capita expenditure using household characteristics » Apply coefficients to same household characteristics in census sample survey data set census data set » Aggregate from household to -“small area” such as district v1 v’1 - β1 β1 or -commune2 v2 β - v’2 β2 ... y ... ^ y βn βn - vn - v’n
  • 5. Model applied to Vietnam Household size and Housing composition p » House type » Household size » Living area » Proportion of elderly » Type of roof » Proportion of children » Type of floor f fl » Proportion of females » Type of water source Education » Type of toilet » Education of head of household » Electricity » Education of spouse Characteristics of head of Ownership of assets household h h ld » Radio » Ethnicity » Television » Occupation Location » Urban/Rural » Elevation and coordinates
  • 6. Poverty in Vietnam and L d Laos
  • 7. Where are the poor? ABSOLUTEdensity of Population number PERCENTAGE of people below poverty p pp population below y p line poverty line (“poverty density”) (poverty incidence)
  • 8. Poverty rates & poverty density Althoughg upland areas have higher poverty rate rate, most of the poor live in deltas and along coast d l t Poverty assistance ss s ce should not be limited to poorest areas
  • 10. The geography of poverty and inequality Poverty rates highest in “remote rural highlands” g
  • 11. Poverty rates ethnic majorities minorities
  • 12. Poverty rates Spatial variation in l ti hi i relationships: Influence of annual rainfall on district-level poverty incidence.
  • 13. Conclusions - Methodology Poverty mapping method y pp g » Statistical method produces spatially highly disaggregated estimates of p y g y gg g poverty that are generally considered to be more g y reliable and consistent than those from the administrative reporting system
  • 14. Conclusions - Methodology Poverty mapping method (cont.) y pp g ( ) » But, the method: does not produce reliable information below p the commune/ village level combination with local participatory approaches p p y pp is very data intensive, i.e. cannot easily be updated frequently limitations of the method in the face of mass migration (maps qu c y ou d ed?) g o ( ps quickly outdated?)
  • 15. Acknowledgements Vietnam: Minot, N.; Baulch, B. and Epprecht, M. (2006) Poverty and inequality in Vietnam — Spatial Patterns and geographic determinants. IFPRI research report #148 International Food Policy #148, Research Institute, Washington DC. http://www.ifpri.org/PUBS/abstract/rr148.asp p fp g p Laos: DRAFT RESULTS of a project on ‘Poverty mapping in Lao PDR’ please do not quote or reproduce