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Cambodia: Poverty Assessment

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Pattern and composition of growth between 1993/94 and 2004 ... Kampong Thom. 51.8. 5.9. 32,058. Siem Reap. 4.6. 16. 87,403. Phnom Penh. Poverty Headcount Index ... – PowerPoint PPT presentation

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Title: Cambodia: Poverty Assessment


1
Cambodia Poverty Assessment
  • Preliminary Findings
  • October 13, 2005

2
Outline of the presentation
  • Facts
  • Trends between 1993/94 and 2004
  • State of poverty, 2004
  • Analysis
  • Pattern and composition of growth between 1993/94
    and 2004
  • Reasons behind observed features of poverty, 2004
  • Recommendations

3
The Good News
  • Headcount poverty fell between 1993-94 and 2004
  • from 39 percent to 28 percent, in geographically
    comparable areas
  • Or, a 1 percentage point reduction in headcount
    poverty per year
  • Average real per capita consumption rose
  • from 2,228 riel / day to 2,392 riel / day
    (93-PNH prices) a 32 increase
  • Socio-economic indicators improved
  • for all and especially among the poor
  • In terms of ownership of consumer durables
    housing quality schooling enrollment rates

4
The Not-so-Good News
  • Per capita household consumption grew slowest in
    rural areas and among the poorest
  • by a cumulative 24 in rural areas versus 36 in
    other urban regions and 26 in Phnom Penh
  • by a cumulative 8 for the poorest quintile
    versus the national average of 32
  • Poverty severity, or the depth or shortfall below
    the poverty line, remained largely unchanged
  • from 3.1 percent to 3.3 percent
  • Inequality of consumption rose quite
    significantly
  • Gini coefficient rose from 0.35 to 0.40

5
Results not unexpected,given where growth took
place
  • The engines of growth were primarily urban
    manufacturing, construction, and tourism
  • Concentrated in Siem Reap and Phnom Penh
  • While the poor are concentrated in rural Cambodia
  • Urban-rural linkages were limited, primarily
    remittances
  • 13 of all households received domestic
    remittances
  • Average receipt constituted 8-10 of total
    household consumption

6
and where it did not
  • Low growth in agriculture
  • 3.4 p.a. during 1993-94 and 2004
  • neighboring countries averaged gt 5 p.a. for a
    decade in their early stages of development,
    e.g., Thailand and Malaysia during 70s China
    during 80s and beyond Laos during 90s.
  • Low level of agricultural productivity
  • crop yields labor productivity and land
    productivity have been and still are among the
    lowest in Asia
  • Consequently, slow poverty (headcount) reduction
    rate in rural areas
  • at 22 in rural areas c.f. 60 in Phnom Penh and
    44 in other urban regions (cumulative over 10
    years)
  • Low rural income and high rural poverty headcount

7
Cambodia needs an additional engine
  • An engine that is more pro-poor
  • The agriculture sector
  • Extensive literature of many countries concludes
    that growth in agriculture has the greatest
    poverty reduction impacts, compared to growth in
    secondary and tertiary sectors
  • Almost the entire countrys poor are in rural
    areas
  • And an engine that is more resilient
  • garment industry offshore-outlet nature ?
    susceptible to high exit-and-entry rates
  • tourism peace, security and health in the
    country and the region are requisites

8
The state of poverty in 2004
  • National poverty incidence, covering all areas in
    the country, in 2004 was 35
  • Best informed projection of the national poverty
    incidence, covering all areas in the country, in
    1993 was 47
  • Rural poor made up 91 percent of all poor
  • Rural Tonle Sap and Rural Mountain regions had
    the highest poverty incidence and worst poverty
    severity.

9
Main characteristics of poor in 2004
  • high dependency ratio
  • lack of education
  • remoteness
  • greater dependence on common property resources
    (forestry fishery)
  • less secure ownership of land
  • less access to irrigation

10
Preview of analyses (key results)
  • Secure land title increases productivity
  • Irrigation enhances productivity
  • Smaller farm sizes are more productive
  • The poor rely heavily on common property
    resources
  • Human capital (education) enhances productivity
  • ODA (resource) allocation is not pro-poor (and
    not particularly rural-focused

11
Why is land titling important?
  • Having a secure land title
  • Increases rental value by 57 and sale value by
    38
  • Increases productivity by 70
  • Increases consumption by 24
  • Reason creates incentives to invest in land
  • more willing to undertake higher-risks
    higher-payoff investments (e.g., diversify crops
    invest in perennial trees)

12
Why irrigation is important
  • Having access to irrigation during the dry season
  • Increases land rental value by 26
  • Increases land value by 26
  • Having access to irrigation during the wet season
  • Increases land rental value by 13
  • Increases land value by 16
  • Irrigated land
  • Increases productivity (yields) by 10

13
Smaller farm is more productive, in various
measures
14
The poor rely heavily on common property
resources
15
Diversity of sources of income
US1 4,016 Riel
2,203
2,784
3,684
7,703
16
Why is human capital of this generation of adults
important?
  • Education of household heads
  • increases profitability of crop production
  • increases crop yields
  • increases household consumption

17
ODA allocation is not prioritized by poverty
18
ODA is not particularly rural-focused
19
Summary (potential) recommendations
  • Provide secure land titles
  • Provide irrigation (need further costs-benefit
    analyses)
  • Ensure access to common property resources
  • Replenish human capital of adults, in particular,
    adult literacy programs
  • Provide more rural infrastructure (need further
    costs-benefit analyses)
  • Improve targeting of resources (ODA)

20
End of presentation
21
Salient characteristics of the poor
22
Trends in poverty incidence
23
Is our best-informed estimate of 1993 poverty
incidence reasonable?
24
Non-monetary dimension of poverty selected
socio-economic indicators of the poorest quintile
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