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Improving the targeting of social programs in Ghana
- Available as
- Online
- Summary
-
This study provides a diagnostic of the benefit incidence and targeting performance of a large number of social programs in Ghana. Both broad-based programs (such as spending for education and heal...
This study provides a diagnostic of the benefit incidence and targeting performance of a large number of social programs in Ghana. Both broad-based programs (such as spending for education and health, and subsidies for food, oil-related products and electricity) as well as targetd programs (such as LEAP, the indigent exemption under the NHIS, school lunches and uniforms, or fertilizer subsidies) are considered. In addition, the study provides tools and recommendations for better targeting of those programs in the future. The tools include new maps and data sets for geographic targeting accordi
Details
- Creator
- edited by Quentin Wodon
- Format
- Books
- Language
- English
- Contributors
- Publication
-
- Washington D.C. : World Bank, [2012]
- copyright 2012
- Series
- Physical Details
-
- pages cm
- data file
- ISBNs
- 9781283637978, 1283637979, 9780821396063, 0821396064, 0821395939
- OCLC
- ocn813285838
- Description based upon print version of record.
- English
- Contents; Acknowledgments; Acronyms and Abbreviations; Chapter 1: Improving Targeting in Ghana: A Brief Overview; Tables; Table 1.1: Summary results on the share of the benefits from various programs accruing to the poor; PART I: SYNTHESIS OF THE STUDY; Chapter 2: How Well Targeted Are Ghana's Social Programs?; Introduction; Table 2.1: Ghana's progress towards the Millennium Development Goals; Objective, Limits, and Structure of the Study; Programs and Subsidies Well (or Potentially Well) Targeted to the Poor
- Table 2.2: Programs and subsidies with a large share of benefits accruing to the poorPrograms and Subsidies Relatively Evenly Distributed in the Population as a Whole; Table 2.3: Programs with benefits relatively evenly distributed in the population; Programs and Subsidies Benefiting the Poor but Only to a Limited Extent; Table 2.4: Programs with some limited benefits accruing to the poor; Programs and Subsidies Benefiting Mostly the Nonpoor; Choosing Indicators for Geographic Targeting; Table 2.5: Programs with benefits accruing mostly to nonpoor households; Figures
- Figure 2.1a: Proportion of children suffering from stuntingFigure 2.1b: Proportion of children suffering from wasting; Figure 2.1c: Proportion of children suffering from underweight; Figure 2.1d: Proportion of children suffering from severe stunting; Figure 2.1e: Proportion of children suffering from severe wasting; Figure 2.1f: Proportion of children suffering from severe underweight; Figure 2.1g: Net enrolment in primary education; Figure 2.1h: Literacy of 15-24 age of year; Figure 2.1i: Ratio of girls to boys in primary education; Figure 2.1j: Ratio of girls to boys in secondary education
- Figure 2.1k: Maternal mortality for 100,000 lives birthsFigure 2.1l: Proportion of births attended by skilled health personnel; Comparing Geographic Targeting in Levels and in Changes Due to Shocks; Comparing Geographic, Proxy Means-Testing, and Community-Based Targeting; Using Targeting Mechanisms for Non-State Providers of Services and Programs; Policy Recommendations; PART II: ANALYSIS BY SOCIAL PROGRAM; Chapter 3: Principles of Targeting-A Brief Review; Benefits of Targeting; Costs of Targeting; Figure 3.1: Targeting poverty alleviation transfer; Measuring Targeting Performance
- Classifying Targeting MethodsChapter 4: A New Poverty Map for Ghana; Objective of the Poverty Map; Methodology for the Construction of the Poverty Map; Reliability of the Poverty Map Estimates; Table 4.1: Poverty measures based on GLSS5 and CWIQ 2003, by strata; Figure 4.1: Poverty headcount accuracy, by administrative level; Figure 4.2: Relationship between poverty headcount and coefficient of variation; Conclusion; Figure 4.3: District-level poverty headcount and poverty gap; Chapter 5: A Food Insecurity Map for Ghana; Estimation of a Food Insecurity Map Based on Caloric Intake
- Reliability of the Food Insecurity Map Estimates