{"id":{"repo_id":"claremont","oai_identifier":"oai:scholarship.claremont.edu:cgu_etd-1582"},"canonical_url":"https://search.dev.ndltd.org/etd/claremont/oai:scholarship.claremont.edu:cgu_etd-1582","repository":{"repo_id":"claremont","name":"Claremont Graduate University","base_url":"https://scholarship.claremont.edu/do/oai/"},"display":{"title":"The Impact of Development Aid on Human Development","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>","abstract_html":"&lt;p&gt;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.&lt;/p&gt;","abstract_has_math":false,"creators":["Shaffer, Lauren Candia"],"institution":null,"degree_name":"Political Science, PhD","degree_level":"Open Access Dissertation","degree_discipline":"School of Social Science, Politics, and Evaluation","degree_department":null,"school":null,"contributors":["Sallama Shaker","Yi Feng"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-01-01T08:00:00Z","date_published":"2023-01-01T08:00:00Z","updated_at":"2026-07-24T01:40:22Z","subjects":["Aid","Development aid","Human development","Poverty","Recipient countries","Economics","International Relations","Political Science"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarship.claremont.edu/cgu_etd/560","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Sallama Shaker","Yi Feng"]},{"key":"dc:creator","label":"Author","values":["Shaffer, Lauren Candia"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2023-10-19T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["School of Social Science, Politics, and Evaluation"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Open Access Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Political Science, PhD"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Aid","Development aid","Human development","Poverty","Recipient countries","Economics","International Relations","Political Science"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarship.claremont.edu/cgu_etd/560"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<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>"]},{"key":"dc:title","label":"Title","values":["The Impact of Development Aid on Human Development"]}]}],"canonical_facts":{"dc:contributor":["Sallama Shaker","Yi Feng"],"dc:creator":["Shaffer, Lauren Candia"],"dc:date.available":["2023-10-19T07:00:00Z"],"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>"],"dc:identifier":["https://scholarship.claremont.edu/cgu_etd/560"],"dc:subject":["Aid","Development aid","Human development","Poverty","Recipient countries","Economics","International Relations","Political Science"],"dc:title":["The Impact of Development Aid on Human Development"],"thesis:degree_discipline":["School of Social Science, Politics, and Evaluation"],"thesis:degree_level":["Open Access Dissertation"],"thesis:degree_name":["Political Science, PhD"]},"updated_at":"2026-07-24T01:40:22Z"}