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Capacity building in poverty mapping

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First map was conducted in 2002 using household survey of 1998 and census 1999. ... GIS variables were collected but we dont know whether it is the most recent data ... – PowerPoint PPT presentation

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Title: Capacity building in poverty mapping


1
Capacity building in poverty mapping
Country proposal Vietnam
Members Mr. Tran Ngoc Truong Mr. Gian Thanh
Cong Ms. Lo Thi Duc Mr. Le Trung Hieu
2
I. Background information
1. Progress in Poverty mapping
  • Poverty mapping tasks completed
  • - First map was conducted in 2002 using
    household survey of 1998 and census 1999.
  • - Update of poverty map using more recent data
    of household survey in 2002 and 2004
  • - Construction of HCM city poverty maps using
    household survey in 2004 and HCM census in 2004
    (10 sample with household characteristics)

3
I. Background information
  • Poverty mapping task in progress
  • - Verification of National poverty maps and HCM
    poverty maps.
  • - Analysis on the panel data of 2002 and 2004 in
    combination with other data sources to assess the
    time-variation to update the poverty maps using
    these two sources of household survey
  • - Update of National poverty maps using (i)
    household survey in 2004 and agriculture census
    in 2006 and (ii) household survey in 2006 and
    agriculture census in 2006.

4
I. Background information
  • 2. Collaborators
  • Information Center for Agriculture and Rural
    Development
  • Ministry of Planning and Investment
  • Ministry of Finance
  • Institute of Economics
  • General Statistical Office
  • Institute of Labor Science and Social Affairs
  • National Economics University
  • The World Bank in Vietnam

5
I. Background information
  • 3. Software used and method of analysis
  • Software
  • STATA and POVMAP Analytical software
  • Arcview-GIS Mapping software
  • Methodology Small-area estimation.
  • 4. Expected time for completing poverty maps One
    year
  • In which data collection and setup (code
    matching, variables selection...) take time

6
I. Background information
  • 5. Status/ plan of integrating GIS
  • GIS variables were collected but we dont know
    whether it is the most recent data and it is
    available at lower level
  • 6. Support from Planning Ministry and other
    related ministries
  • Staffs from these agencies are member of poverty
    task force that directly involve in poverty
    mapping analysis

7
I. Background information
  • 7. View of our agency about this training
    program
  • Capacity building
  • Background knowledge on statistics and
    econometric
  • Knowledge on statistical(STATA) and poverty
    mapping software (POVMAP)
  • Hands-on skills
  • English fluency
  • Experience sharing with Asian countries

8
II. Outputs of the first training
  • 1. Report Presentation on identification of data
    sources and common variables selection
  • 2. Identification of census and survey data
  • 3. Whole set of training materials including
    Course materials, Povmap manual, do file and
    dataset for Nepal case, country presentation of
    Thailand by NSO and CDD and dataset used
  • 4. Knowledge learned in this training (i)
    Background knowledge on poverty analysis,
    statistics and econometric (ii) Knowledge of
    statistical and poverty mapping software (iii)
    Intensive training expertise from two teachers
    Experiences from presentation of host country
    Thailand and Nepal (iv) Experiences from
    discussion among other Asian countries (v)
    Hands-on skills

9
II. Outputs of the first training
  • Next visit to GIC
  • Preferred starting dates Middle of February
  • Tasks to be completed
  • - Completion of common variables selection
    incorporating GIS variables
  • - Construction of precise expenditure/income
    equations
  • - Construction of poverty maps for Vietnam using
    latest data of census and survey

10
III. Key activities
  • 1. Collect survey and census data
  • - Survey data Latest survey is in 2006
  • - Census data Latest census is Rural
    Agriculture and Fishery Census in 2006. This
    census covers only rural population and
    agriculture household in urban area.
  • 2. Preparation of STATA or SPSS files
  • All data files are available in STATA format

11
III. Key activities
  • 3. Identification of common variables and
    matching
  • - Households specific variables demographic,
    land, housing and assets, type of economic
    activities, education, occupation and
    employment...
  • - It should be noted that questionnaire in
    general is not the same between census and
    survey. Some variables need to be redefined to
    be comparable.
  • - Matching Administrative codes are completely
    different between census and survey.
  • This task is time consuming since the manual
    recoding at lowest level should be done for
    around 10 thousand communes

12
III. Key activities
  • 4. Preparation of GIS data files
  • - Data on GIS variables need to be collected in
    the year corresponding to the year of census and
    survey data.
  • - Main variables would be Elevation, slope,
    roads, number of markets, number of
    school/university/health care center, climate
    (rainfall, temperature, humidity...), ect
  • 5. Weekly reporting whole team progress to staffs
    of GIC

13
III. Key activities
  • 6. Invitation letters
  • It will be sent to GIC staff as soon as we
    complete the construction of datasets.
  • The date of visit is preferred to be around
    second week after New Year but it should be
    agreed with the GIC staffs.

14
III. Key activities
  • 7. Working in-country with staffs
  • - Detailed schedule will be sent to GIC staffs
    before country visit. Hands on training is
    necessary during implementation at all steps
  • 8. Pick up activities from the first
    presentation that we need to complete
  • - Understanding of questionnaires in both
    census and survey
  • - Select and compare common variables from
    census and survey
  • - Collect GIS variables
  • - Matching codes between census and survey

15
III. Key activities
  • 9. Other relevant activities
  • - Getting permission on accessing both census
    and survey data
  • - Updating the latest version of map shape file
    for spatial demonstration of poverty rates at all
    level of aggregation
  • - Matching codes between data files and map
    shape file

16
IV. Constraints to complete the activities
  • Access to data requires permission from data
    providing agency (GSO), fair amount of fund would
    be needed for data purchase
  • Code matching manually takes much time
  • It is still controversial whether poverty
    analysis should be based on income or expenditure
    approach. As opposed to Worldbank approach, the
    government prefers using income to calculate
    poverty measures

17
V. Proposed working arrangement
  • Poverty mapping team is set up which includes
    staffs from GSO and ILSSA.
  • Technical supports would be provided by experts
    from GIC.
  • Each member works independently on the specific
    tasks allocated. It is expected that two members
    will work on same task and share/compare the
    outputs to each other.
  • All members will gather every week to discuss on
    the outputs. During the implementation, technical
    assistance from GIC staffs is needed in terms of
    providing instruction and comments.
  • Besides, communication among members would mostly
    be via email.

18
6. Communication
  • The poverty mapping team will maintain the
    frequent contact with GIC staffs via email.
  • It is expected that for every three weeks GIC
    staffs will write a summary report on the
    progress of the work done by the team and
    suggestion for the next step.

19
poverty mapping
Thanks for your attention!
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