Poverty and inequality in Vietnam: spatial patterns and geographic determinants Minot, Nicholas

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Author
Minot, Nicholas
Subjects
Poverty - Vietnam.; Vietnam - Economic conditions - 1975-; Poverty - Econometric models.
Contents
  • Background
  • Data and methods
  • 2.1 Data
  • 2.2 Methods to estimate the incidence of poverty
  • 2.3 Methods to estimate other measures of poverty
  • 2.4 Methods to estimate measures of inequality
  • 2.5 Limitations of the analysis
  • 2.6 Methods in global spatial regression analysis
  • 2.7 Methods in local spatial regression analysis
  • Spatial patterns in poverty and inequality
  • 3.1 Household characteristics correlated with per capita expenditure
  • 3.2 Incidence of poverty
  • 3.3 Spatial patterns in other measures of poverty
  • 3.4 Spatial patterns in inequality
  • 3.5 Relationships between income, poverty, and inequality
  • 3.6 Relationship with MOLISA poverty estimates
  • Geographic determinants of poverty
  • 4.1 Geographic factors
  • 4.2 Estimation issues
  • 4.3 Global model of rural poverty
  • 4.4 Global model of urban poverty
  • Spatial variation in determinants of poverty
  • 5.1 Model description
  • 5.2 Results
  • Summary and conclusions
  • 6.1 Summary
  • 6.2 Conclusions
  • 6.3 Implications for policy and programs
  • 6.4 Implications for future research
  • References
  • Annex A: using GIS derived variables for statistical analysis
  • List of tables
  • Table 1. Selected household data sets for Vietnam
  • Table 2. Household characteristics in both the census and the VLSS
  • Table 3. Explanatory variables used in spatial regression analysis
  • Table 4. Rural and urban regression models of per capita expenditure
  • Table 5. Statistical significance of groups of variables
  • Table 6. Comparison of poverty estimates at national and regional levels
  • Table 7. Estimated poverty rate (p0) for urban and rural areas by province
  • Table 8. Decomposition of inequality into between province and within provinces
  • Table 9. Decomposition of inequality into between and within districts
  • Table 10. Agro-climatic and socio-economic factors that may affect poverty rate
  • Table 11. Diagnostic tests for spatial dependence in rural poverty
  • Table 12. Inclusive model of the geographic determinants of rural poverty
  • Table 13. Selective model of the geographic determinants of rural poverty
  • Table 14. Diagnostic tests for spatial dependence in urban poverty
  • Table 15. Inclusive model of the geographic determinants of urban poverty
  • Table 16. Selective model of the geographic determinants of urban poverty
  • Table 17. List of variables used in geographically-weighted regression analysis error!
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  • Table 18. Summary results of global model
  • Table 19. Summary results of global and local models.
Bookmark
http://trove.nla.gov.au/work/57460
Work ID
57460

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