Title: Capacity building in poverty mapping
1Capacity building in poverty mapping
Country proposal Vietnam
Members Mr. Tran Ngoc Truong Mr. Gian Thanh
Cong Ms. Lo Thi Duc Mr. Le Trung Hieu
2I. 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)
3I. 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.
4I. 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
5I. 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
6I. 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
7I. 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
8II. 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
9II. 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
10III. 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
-
11III. 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
12III. 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
13III. 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.
14III. 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
15III. 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
16IV. 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
17V. 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.
186. 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.
19poverty mapping
Thanks for your attention!