Abstract
dc:description.abstract<p>This dissertation examines the relationship between development aid and human development in recipient countries. The primary function of this research is to determine which types of aid are most effective in improving human development. To accomplish this goal, I use a fixed effects regression analysis to examine the following aid types in individual chapters of the dissertation: Total Aid, Donor-specific aid, Sectoral Aid, Conditional Aid, and aid flowing from Multilateral, Bilateral, and Private sources. This analysis produced mixed results, indicating that some types of aid have a positive and significant impact on human development, some have a negative and significant impact, and some have no impact. However, even when there is a statistically significant relationship between the two variables, the impact is so small that it is not substantively significant.</p>
Degree
thesis:*- Name thesis:degree_name
- Political Science, PhD
- Level thesis:degree_level
- Open Access Dissertation
- Discipline thesis:degree_discipline
- School of Social Science, Politics, and Evaluation
- Year dc:date.available
- 2023
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Shaffer, Lauren Candia
- Contributors dc:contributor
-
- Sallama Shaker
- Yi Feng
Subjects
dc:subject × 8Identifiers
dc:identifier.*- Repository record dc:identifier
- https://scholarship.claremont.edu/cgu_etd/560
- OAI identifier oai:identifier
- oai:scholarship.claremont.edu:cgu_etd-1582