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Spatial Patterns of Growth and Poverty Changes in Peru (1993-2005) Javier Escobal Carmen Ponce
OVERVIEW ,[object Object],[object Object],[object Object],[object Object]
Motivation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Methodological Approach ,[object Object],[object Object],[object Object],[object Object]
Main Findings:  Poverty 1993 - 2005 1993 2005 Poverty Rates Poverty Rates
Cambios Provinciales Pobreza Spatial Correlation Patterns are evident Poverty Rate Changes 1993-2005
District Characteristics according to Poverty Dynamics Patterns
¿How much of the inequality of the wellbeing distribution ca be accounted by differences in asset endowments and geographic related variables?  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Poverty has a Spatial Dimension Note: All statistics are significant at 1% 0.8675 Altitude 0.3385 0.4631 0.4995 Access to drinkable water 0.3409 0.5658 0.5964 Access to electricity 0.5144 0.6484 0.6585 Head of HH Education (more than secondary) 0.4222 0.2167 0.3663 Gini 0.5719 0.7094 0.5327 Poverty 0.4667 0.7338 0.6095 Per-capita Expenditure Change  1993-2005 2005 1993   Spatial Correlation (Moran Statistics for Selected Variable)
Regional Gaps can not be fully explained taking into account assets and geography
Spatial pattern is persistent even after controlling for private, public assets and geography
Spatial persistence of Inequality ,[object Object]
When one acknowledges that rate of return to asset are location specific … Marginal Impact of Electricity over Per-Capita Expenditure Growth Marginal Impact of reduction in time to markets over Per-Capita Expenditure Growth
Conclusions ,[object Object],[object Object],[object Object],[object Object]
Conclusions ,[object Object],[object Object],[object Object],[object Object]
To explore the role of Institutions we are doing in-depth analysis in 2 Territories Groups
[object Object]

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Spatial Patterns of Growth and Poverty Changes in Peru (1993-2005) IAAE 2009

  • 1. Spatial Patterns of Growth and Poverty Changes in Peru (1993-2005) Javier Escobal Carmen Ponce
  • 2.
  • 3.
  • 4.
  • 5. Main Findings: Poverty 1993 - 2005 1993 2005 Poverty Rates Poverty Rates
  • 6. Cambios Provinciales Pobreza Spatial Correlation Patterns are evident Poverty Rate Changes 1993-2005
  • 7. District Characteristics according to Poverty Dynamics Patterns
  • 8.
  • 9. Poverty has a Spatial Dimension Note: All statistics are significant at 1% 0.8675 Altitude 0.3385 0.4631 0.4995 Access to drinkable water 0.3409 0.5658 0.5964 Access to electricity 0.5144 0.6484 0.6585 Head of HH Education (more than secondary) 0.4222 0.2167 0.3663 Gini 0.5719 0.7094 0.5327 Poverty 0.4667 0.7338 0.6095 Per-capita Expenditure Change 1993-2005 2005 1993   Spatial Correlation (Moran Statistics for Selected Variable)
  • 10. Regional Gaps can not be fully explained taking into account assets and geography
  • 11. Spatial pattern is persistent even after controlling for private, public assets and geography
  • 12.
  • 13. When one acknowledges that rate of return to asset are location specific … Marginal Impact of Electricity over Per-Capita Expenditure Growth Marginal Impact of reduction in time to markets over Per-Capita Expenditure Growth
  • 14.
  • 15.
  • 16. To explore the role of Institutions we are doing in-depth analysis in 2 Territories Groups
  • 17.