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Data collection in difficult environments:
measuring economic recovery in post-
        conflict Bougainville

               Satish Chand
               UNSW@ADFA
Three messages
1. Data for policymaking absent in most post-
   conflict situations
2. This deficiency undermines capacity to ‘prevent,
   prepare for, and respond to disasters’ (APCOE
   mission)
3. The data deficiency can be addressed.
Papua New Guinea – Where?
2500


                                     Per Capita Income by Province in Papua New Guinea (1983)

2000




1500




1000




 500




   0
                        Central
                 Gulf




                                                                                         EHP




                                                                                                                                                            ENB
                                                                  Enga
                                                      Oro




                                                                                                        Madang




                                                                                                                                                      NIP
                                   NCD




                                                                                                                                           Manus




                                                                                                                                                                    WNB
                                                                                               Morobe




                                                                                                                                                                          NSP
                                          Milne Bay




                                                                         WHP
                                                            SHP




                                                                                                                              West Sepik
                                                                                Chimbu




                                                                                                                 East Sepik
       Western




                                  Papua                             Highlands                           Momase                                     Islands Region
Economic impact of the conflict




                                                         Toniva, Kieta


Panguna, in 1989, accounted for:
                         • 45 percent of PNG’s export income;
                         • 17 percent of internally generated govt. revenues; and,
                         • 12 percent of GDP.
At the height of conflict, one third (approx. 70K) of population were in care centres.
Evidence of a rebound in economic activity: By how much?




  Rebound in the economy! How much?

                                              26/02/2011
Gold smelting
The Gold Smelter                     The product




 Approx. 2Kg smelted per week @ $57/gram = $114,000.
Green gold!
Access to basic services




Private versus public provision of basic services
The Research Team: Well Trained Locals
Survey locations
Survey Sites: Arawa




                               Pre-crisis # houses: 1850
                               Post-crisis (02/2011) #: 740

23/02/2011
Data collected on
•   Income – how much and source?
•   Investments – age and types of housing?
•   Own or rent house?
•   Access to basic services
     • Education/Health?
     • Water
     • Telephone
     • Electricity
     • Toilets
     • TV
Interview in progress




                 21/02/2011
Table 1: Summary statistics
Variable                         Obs Mean Std. Dev. Min        Max
Age of household head             181    45       11      20         81

Male household head               181   58%      0.49     0          1

Moved house due to conflict       179   30%      0.46     0          1

Number of people per house        181   5.70     3.03     1          16

Number of males per house         180   2.85     1.76     0          9


Number of dependents per house    179   1.78     1.70     0          8

Number in school per house        179   1.89     1.84     0          8

Proportion owning house           181   56%      0.50     0          1

Year house built                  112   1996    13.77   1960     2011

Weekly household income           180   416      317    <100     >1000
Table 2: Population distribution by age
        Age group                              Females                 Males                percent                 Cum %


        1yr -5yrs                                   50                     53                 10.2%                 10.2%

        6yrs - 10yrs                                53                     58                 10.9%                 21.1%

        11yrs - 15 yrs                              55                     74                 12.7%                 33.8%

        16yrs - 20yrs                               81                     59                 13.8%                 47.6%

        21yrs-25yrs                                 61                     55                 11.4%                 59.1%

        26yrs - 30yrs                               42                     42                  8.3%                 67.4%

        31yrs - 35 yrs                              41                     38                  7.8%                 75.1%

        36yrs - 40yrs                               26                     23                  4.8%                 80.0%

        41yrs - 45yrs                               24                     21                  4.4%                 84.4%

        46yrs - 50yrs                               30                     26                  5.5%                 89.9%
        51yrs+                                      49                     53                 10.1%                100.0%



Calculated from a total population of 1,014 individuals made up of 502 males and 512 females from the 181 households surveyed.
NSO Census 2000, table 1.6 North Solomons Urban Population less than 15 years = 34.8 percent (rural = 43.8%).
Table 3: Zero years of schooling


                                                        Number of        Number of           Proportion w/o
 Birth year                                               Females           Males                 schooling



 1982 or earlier                                                    6               0                       2%



 Between 1983 and1991                                               2               2                       2%



 Between 1992 and 2005                                            12               33                       13%
Notes: 35 percent of those between 6 and 10 years of age as of 2011 were not in school => displacement of
young by older children in primary schools.
Source: Calculated from survey of 181 households comprising 911 individuals born in
 or before 2005 from Arawa, Buka, Buin and Selau (data collected in February 2011).
Figure 2: Highest schooling for 20+ yr population
              150




                                                                    117

                                               103
              100
Frequency




                                                                               77


                                                          58
                50




                                                               25         24                       22
                                    16 16 16                                             14
                                                     11                             10        10
                        8
                            5
                                2                                     1                                 1   1   1
                    0




                        0                 5                       10                          15                20
                                                               Yschool

                            Pr(6 year-old completing Year 12) = 11 percent!
Investments: Three types of houses!




 Material = 1          Material = 3
Construction activity over time-
              4
              3
                    Buka & Selau
Frequency




              2
              1
              0




                  1980   1990            2000   2010
                                Ybuilt
Preliminary findings
1. Approx half of urban population < 20yrs of age.
2. One in three urban children of 6~10yrs not in school
3. Per capita income for urban Bougainville = K3,863 at
   2010 prices (or K783 at 1983 prices).
4. Large regional disparities in rates of and prospects
   for economic growth
5. Ex-combatants turned entrepreneurs in post-
   conflict Bougainville – a growing constituency for
   peace.
Fun of fieldwork in difficult environments
Conclusions
1. Data can be collected in difficult environments.
2. Involvement of local authorities crucial for
   success.
3. Costs of data collection are high - sampling and
   a staggered approach to surveys.
4. Honesty/transparency/publicity helps with
   fieldwork.
5. Local graduate students are invaluable for all of
   the above!

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Satish Chand - Data collection in difficult environments:measuring economic recovery in post-conflict Bougainville

  • 1. Data collection in difficult environments: measuring economic recovery in post- conflict Bougainville Satish Chand UNSW@ADFA
  • 2. Three messages 1. Data for policymaking absent in most post- conflict situations 2. This deficiency undermines capacity to ‘prevent, prepare for, and respond to disasters’ (APCOE mission) 3. The data deficiency can be addressed.
  • 3. Papua New Guinea – Where?
  • 4. 2500 Per Capita Income by Province in Papua New Guinea (1983) 2000 1500 1000 500 0 Central Gulf EHP ENB Enga Oro Madang NIP NCD Manus WNB Morobe NSP Milne Bay WHP SHP West Sepik Chimbu East Sepik Western Papua Highlands Momase Islands Region
  • 5. Economic impact of the conflict Toniva, Kieta Panguna, in 1989, accounted for: • 45 percent of PNG’s export income; • 17 percent of internally generated govt. revenues; and, • 12 percent of GDP. At the height of conflict, one third (approx. 70K) of population were in care centres.
  • 6. Evidence of a rebound in economic activity: By how much? Rebound in the economy! How much? 26/02/2011
  • 7. Gold smelting The Gold Smelter The product Approx. 2Kg smelted per week @ $57/gram = $114,000.
  • 9. Access to basic services Private versus public provision of basic services
  • 10. The Research Team: Well Trained Locals
  • 12. Survey Sites: Arawa Pre-crisis # houses: 1850 Post-crisis (02/2011) #: 740 23/02/2011
  • 13. Data collected on • Income – how much and source? • Investments – age and types of housing? • Own or rent house? • Access to basic services • Education/Health? • Water • Telephone • Electricity • Toilets • TV
  • 14. Interview in progress 21/02/2011
  • 15.
  • 16. Table 1: Summary statistics Variable Obs Mean Std. Dev. Min Max Age of household head 181 45 11 20 81 Male household head 181 58% 0.49 0 1 Moved house due to conflict 179 30% 0.46 0 1 Number of people per house 181 5.70 3.03 1 16 Number of males per house 180 2.85 1.76 0 9 Number of dependents per house 179 1.78 1.70 0 8 Number in school per house 179 1.89 1.84 0 8 Proportion owning house 181 56% 0.50 0 1 Year house built 112 1996 13.77 1960 2011 Weekly household income 180 416 317 <100 >1000
  • 17. Table 2: Population distribution by age Age group Females Males percent Cum % 1yr -5yrs 50 53 10.2% 10.2% 6yrs - 10yrs 53 58 10.9% 21.1% 11yrs - 15 yrs 55 74 12.7% 33.8% 16yrs - 20yrs 81 59 13.8% 47.6% 21yrs-25yrs 61 55 11.4% 59.1% 26yrs - 30yrs 42 42 8.3% 67.4% 31yrs - 35 yrs 41 38 7.8% 75.1% 36yrs - 40yrs 26 23 4.8% 80.0% 41yrs - 45yrs 24 21 4.4% 84.4% 46yrs - 50yrs 30 26 5.5% 89.9% 51yrs+ 49 53 10.1% 100.0% Calculated from a total population of 1,014 individuals made up of 502 males and 512 females from the 181 households surveyed. NSO Census 2000, table 1.6 North Solomons Urban Population less than 15 years = 34.8 percent (rural = 43.8%).
  • 18. Table 3: Zero years of schooling Number of Number of Proportion w/o Birth year Females Males schooling 1982 or earlier 6 0 2% Between 1983 and1991 2 2 2% Between 1992 and 2005 12 33 13% Notes: 35 percent of those between 6 and 10 years of age as of 2011 were not in school => displacement of young by older children in primary schools. Source: Calculated from survey of 181 households comprising 911 individuals born in or before 2005 from Arawa, Buka, Buin and Selau (data collected in February 2011).
  • 19. Figure 2: Highest schooling for 20+ yr population 150 117 103 100 Frequency 77 58 50 25 24 22 16 16 16 14 11 10 10 8 5 2 1 1 1 1 0 0 5 10 15 20 Yschool Pr(6 year-old completing Year 12) = 11 percent!
  • 20. Investments: Three types of houses! Material = 1 Material = 3
  • 21. Construction activity over time- 4 3 Buka & Selau Frequency 2 1 0 1980 1990 2000 2010 Ybuilt
  • 22. Preliminary findings 1. Approx half of urban population < 20yrs of age. 2. One in three urban children of 6~10yrs not in school 3. Per capita income for urban Bougainville = K3,863 at 2010 prices (or K783 at 1983 prices). 4. Large regional disparities in rates of and prospects for economic growth 5. Ex-combatants turned entrepreneurs in post- conflict Bougainville – a growing constituency for peace.
  • 23. Fun of fieldwork in difficult environments
  • 24. Conclusions 1. Data can be collected in difficult environments. 2. Involvement of local authorities crucial for success. 3. Costs of data collection are high - sampling and a staggered approach to surveys. 4. Honesty/transparency/publicity helps with fieldwork. 5. Local graduate students are invaluable for all of the above!

Notes de l'éditeur

  1. Create both a snapshot as the baseline for future comparisonsAnd a time profile on key variables.
  2. The slide that shocks Bougainvilleans most!They ask where are we now?They ask how far did we fall?NSP popln 1980 Census = 125,506Estimated total population for Buka &amp; Mainland in 2010: 260~300K.Estimated households: 50KAssumed population growth rate: 2.5~3.0 percent Naional Census conducted in July 2011 but with limited coverage of Bougainville (&amp; PNG).
  3. Snapshot as of February 2011
  4. Snapshot as of February 2011
  5. Time profile on access to primary schoolingOne 27 year old in Year 10 in Buin High School