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Benefit Incidence Analysis of Government Spending on Public-Private Partnership Schooling under Universal Secondary Education Policy in Uganda/ Created by Wokadala.J

By: Contributor(s): Material type: TextTextSeries: Africa education review ; Volume 12 , number 3 ,Pretoria; Unisa Press and Routledge, 2015Content type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
Subject(s): Online resources: Summary: The study establishes whether government spending on private universal secondary education (USE) schools is equitable across quintiles disaggregated by gender and by region in Uganda. The study employs benefit incidence analysis tool on the Uganda National Panel Survey (UNPS 2009/10) data to establish the welfare impact of public subsidy on different households. The results reveal that the richer households benefit more from the subsidy than the poor. Similar patterns are evident across gender and regions. However, the subsidy as a share of total household spending is higher (49%) for poor households than the richer (6%). The contrast in the findings could be because the richer seem to have more school going children and thus spend more on each student. The concentration curves reveal that there are minimal achievements by the state funding to redistribute incomes to the poor.
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Item type Current library Call number Vol info Copy number Status Notes Date due Barcode
Journal Article Journal Article Main Library - Special Collections L81.A33 AFR (Browse shelf(Opens below)) vol 12,no 3,pages 381 SP24821 Not for loan For in-house use only

The study establishes whether government spending on private universal secondary education (USE) schools is equitable across quintiles disaggregated by gender and by region in Uganda. The study employs benefit incidence analysis tool on the Uganda National Panel Survey (UNPS 2009/10) data to establish the welfare impact of public subsidy on different households. The results reveal that the richer households benefit more from the subsidy than the poor. Similar patterns are evident across gender and regions. However, the subsidy as a share of total household spending is higher (49%) for poor households than the richer (6%). The contrast in the findings could be because the richer seem to have more school going children and thus spend more on each student. The concentration curves reveal that there are minimal achievements by the state funding to redistribute incomes to the poor.

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