Exploring Variations in Rural District Development Factors

 
The Causes of Differing District
Development in Rural PNG
 
Colin Filer, Jon Fraenkel, 
Terence Wood
 
terence.wood@anu.edu.au
 
Some parts of 
rural
 PNG are more developed than others
 
Under 5 mortality (per 1000), 1995-99
 
Sometimes even remarkable variation 
within provinces
 
Under 5 mortality (per 1000), 1995-99
 
It’s an interesting practical question:
 
If we can learn the secret of successful district’s success, perhaps we
can adopt in other places?
 
It’s an interesting theoretical question (what causes development?):
 
Natural endowments (logs, mines)?
Environment more broadly?
Colonial history?
Pre-colonial/social institutions (cooperation)?
Ethno-linguistic fragmentation (cooperation)?
 
But it’s hard to research: 
need data!
 
What explains the variation?
 
Preliminary
 findings
 
Method
OLS regressions on 
rural
 districts, province fixed effects as robustness tests
 
Resource
endowments
& colonial
history don’t
matter much
 
Access
matters;
poor land
doesn’t
 
Rural districts with more languages have (a lot) lower development outcomes
 
(Not as robust) but Austronesian areas appear to have higher development outcomes
 
Tentative
 findings
 
Social factors/cooperation (languages, Austronesian) have
a big impact on district development
 
Access matters too.
 
History, land quality, logs and mines don’t matter as much.
 
But we need better data
Slide Note

Hi my name is Terence Wood I’m here to talk about the causes of differing levels of development in rural PNG.

I’m going to start by introducing an interesting fact: when we look at important aspects of development, like education, poverty, and under 5 mortality there is an incredible amount of variation between different rural districts in PNG.

Having introduced this fact I’m going to offer some explanations as to why the variation exists based on development economics and econometric analysis of data from PNG.

Before I go any further I want to emphasis 3 points:

This analysis is looking at rural areas and small towns. For data reasons Lae and Port Moresby are excluded.

All my findings today are preliminary. There is a lot more work to be done.

I am working as part of a team. And I am deeply indebted to my fellow team members Jon Fraenkel and Colin Filer. If I say anything stupid today it is not their fault. If I say anything intelligent it is thanks to them.

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The causes of differing district development in rural Papua New Guinea (PNG) are investigated, highlighting various factors influencing development outcomes such as natural endowments, colonial history, social institutions, and ethno-linguistic fragmentation. Preliminary findings suggest that social factors like language diversity and Austronesian heritage significantly impact district development, while access remains a crucial determinant. Improved data collection is needed for more conclusive results.

  • Rural Development
  • Papua New Guinea
  • Social Factors
  • Districts
  • Development Outcomes

Uploaded on Aug 01, 2024 | 4 Views


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  1. The Causes of Differing District Development in Rural PNG Colin Filer, Jon Fraenkel, Terence Wood terence.wood@anu.edu.au

  2. Some parts of rural PNG are more developed than others Menya, 226 Kundiawa, 26 Under 5 mortality (per 1000), 1995-99

  3. Sometimes even remarkable variation within provinces Madang Districts 152 124 118 96 71 54 Mid-Ramu Rai Bundi Bogia Sumkar Madang Under 5 mortality (per 1000), 1995-99

  4. What explains the variation? It s an interesting practical question: If we can learn the secret of successful district s success, perhaps we can adopt in other places? It s an interesting theoretical question (what causes development?): Natural endowments (logs, mines)? Environment more broadly? Colonial history? Pre-colonial/social institutions (cooperation)? Ethno-linguistic fragmentation (cooperation)? But it s hard to research: need data!

  5. Method OLS regressions on rural districts, province fixed effects as robustness tests Preliminary findings Enrolment -0.54** 9.60** -0.10 -4.05 1.25 1.10 8.41 -15.38** -1.91 35.69 -0.00 82 0.44 Mortality 1.53* -14.99 -0.10 7.84 -2.35 -4.45 -3.53 53.35* 3.78 -69.39 -0.00 83 0.37 Poverty 0.01*** -0.08* -0.00 -0.01 -0.07* 0.06* 0.08 0.18*** -0.05 -0.09 -0.00 83 0.48 Number of languages Is Austronesian Years colonised Government or church mission Logging? Mining? Coastal? % bad road access % on poor quality land % in town Population 2000 Observations R2 Resource endowments & colonial history don t matter much Access matters; poor land doesn t

  6. Rural districts with more languages have (a lot) lower development outcomes

  7. (Not as robust) but Austronesian areas appear to have higher development outcomes

  8. Tentative findings Social factors/cooperation (languages, Austronesian) have a big impact on district development Access matters too. History, land quality, logs and mines don t matter as much. But we need better data

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