| Description |
1 online resource (269 p.) |
| Contents |
Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of contents -- Preface -- Acknowledgements -- Author Biography -- Abbreviations -- Part 1 Background, Concepts, and Definitions -- 1 Introduction -- 1.1 Global South or Developing World? -- 1.2 Demographic Shifts across the Developing World -- 1.3 The Demographic Payoff: A Myth or Reality? -- 1.4 Public Policy Challenges Arising from Shifting Demographic Patterns -- 1.5 Critical Review of Global and National Policy Responses -- 1.6 Why This Book Was Written -- References |
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2 Origins and Concept of Social Area Classification -- 2.1 Conceptual Clarifications -- 2.2 Pre-1980s History of Area Classifications -- 2.3 Area Classifications in the 1980s and 1990s -- 2.4 Post-2000 Area Classifications -- 2.5 Criticisms Levied against the Social Sorting of People in Small Geographic Areas -- 2.5.1 Scale -- 2.5.2 True Representativeness -- 2.5.3 Statistical Biasing Effect -- 2.5.4 Longevity of Socioeconomic Data Inputs -- 2.5.5 Overstating Capabilities of Area Classifications -- 2.5.6 Ethical Issues -- 2.6 Conclusion -- References |
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3 Public Policy Prospects of Small Area Classifications for Developing Countries -- 3.1 Unmasking Subnational Population Disparities -- 3.2 Evidence-Based Decision-Making -- 3.3 Transparent Resource Allocation -- 3.4 Targeting of Policy Interventions -- 3.5 Monitoring the Impacts of National Policies -- 3.6 Public Sector Social Marketing -- 3.7 Differential Communication Strategies -- 3.8 Geographic Forecasting of Social and Economic Futures -- 3.9 Conclusion -- References -- 4 Reasons for Slow Proliferation of Area Classification across Developing Countries |
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4.1 Lack of Publicity of the Benefits of Area Classifications -- 4.2 Institutional and Organizational Weaknesses -- 4.3 Cultural Constraints -- 4.4 Physical Infrastructure versus Spatial Data Infrastructure -- 4.5 Analytical Capacity and Costs -- 4.6 Local Security and Safety Conditions -- 4.7 Existence of Data -- 4.8 Access to Data -- 4.9 Quality of Data -- 4.10 Mitigating Barriers -- 4.11 Conclusion -- References -- Part 2 Underlying Techniques and Deployment Approaches -- 5 Building Blocks: Spatial Data Preparation -- 5.1 Clarifying and Defining the Purpose of Classification |
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5.1.1 General-Purpose versus Bespoke Small Area Classifications -- 5.1.2 Other Purposes -- 5.2 Principles for Selecting Initial Input Variables -- 5.2.1 Theoretical Relevance -- 5.2.2 Objectivity -- 5.2.3 Policy Relevance -- 5.2.4 Measurability and Replicability -- 5.2.5 Auditability -- 5.2.6 Coverage -- 5.2.7 Comparability -- 5.2.8 Flexibility -- 5.2.9 Updatability -- 5.2.10 Longevity -- 5.3 Quality Control and Reduction of Initial Variables -- 5.3.1 Principal Components Analysis -- 5.3.2 Missing Values, Small Sample Sizes, and Creating Composite Variables |
| Notes |
Description based upon print version of record |
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5.3.3 Internal Consistency and Reliability of Variables |
| Form |
Electronic book
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| ISBN |
9781000289398 |
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1000289397 |
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