Perceptions of Beneficiaries of Informal Social Protection Initiatives in Uganda
An Exploratory Factor Analysis Approach
Bibliographic Data
| ID | 6452090 |
|---|---|
| Authors | Stellah Lubinga (0000-0002-1857-8236, School of Public Management and Administration University of Pretoria Pretoria South Africa), Moses Herbert Lubinga (0000-0002-6608-8776, Markets and Economic Research Centre National Agricultural Marketing Council Pretoria South Africa, corresponding author), Masiya Tyanai (School of Public Management and Administration University of Pretoria Pretoria South Africa), Rodney Asilla (School of Public Management and Administration University of Pretoria Pretoria South Africa) |
| Year | 2024 |
| Volume | 59 |
| Issue | 5 |
| Pages | 828-841 |
| Publication date | 2024-10-06 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Policy and Administration (JOURNAL) |
| Journal identifiers | ISSN: 0144-5596 • E-ISSN: 1467-9515 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/spol.13086 |
| OpenAlex | W4403202414 |
| Language | EN |
| Citations received | 1 |
| References cited | 49 |
Informal social protection interventions are instrumental in improving people's welfare through fostering income growth and enabling self‐sufficiency. Whereas the success of some informal social protection initiatives has been acknowledged and documented, there is limited knowledge of the factors influencing the performance of informal social protection initiatives, especially in developing countries like Uganda. In this study, we identify and isolate the perceived factors influencing the performance of informal social protection initiatives. We use exploratory factor analysis on a sample of 130 beneficiaries of two informal social protection interventions in the Alebtong and Kampala districts of Uganda. Findings reveal that the performance of informal social protection interventions is perceived to be influenced by three categories of factors, collectively accounting for 62.4% of the total dataset variance which is more than the threshold of 50%. The factors are beneficiary empowerment, welfare enhancement and coverage and equality. Each factor encompasses a cluster of variables that collectively capture the essential dimensions of individual perceptions concerning the effect of informal social protection initiatives. This research offers valuable insights into how the beneficiaries perceive informal social protection initiatives, shedding light on the nuanced factors contributing to their effectiveness in Uganda
Business · Data science · Economic growth · Economics · Exploratory analysis · Exploratory factor analysis · Perception · Social protection · Socioeconomics · Sociology · Computer Science · HIV/AIDS Impact and Responses · Income, Poverty, and Inequality · Marketing · Poverty, Education, and Child Welfare · Psychology
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Exploratory Factor Analysis
Scaling Procedures
A Note on the Multiplying Factors for Various χ2 Approximations
Factor Retention Decisions in Exploratory Factor Analysis
Factor Analysis as a Tool for Survey Analysis
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A Rationale and Test for the Number of Factors in Factor Analysis
The Varimax Criterion for Analytic Rotation in Factor Analysis
An Index of Factorial Simplicity
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The Application of Electronic Computers to Factor Analysis
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Welfare beyond Borders
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Revisiting Asian economic integration
How Inclusive are the Local Economic Impacts of Social Protection in Uganda
Cash transfers amid shocks
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Social Protection in Africa
Changing Welfare Regimes in East and Southeast Asia
Comparing formal and informal social protection
Principles and Practice of Structural Equation Modeling
When is a correlation matrix appropriate for factor analysis? Some decision rules
Comparison of five rules for determining the number of components to retain
Building resilience to climate risks through social protection
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |