This dissertation is an investigative study that utilized the Panel Vector Autoregressive (PVAR) model that examines the impact of China’s Foreign Direct Investment on the environment and economy of Sub-Saharan Africa (SSA). In evaluating this impact, 43 SSA countries were analyzed and subdivided into various income levels; three arguments were proposed and tested.First is China’s FDI in SSA, “green.” Does China’s FDI lead to sustainable growth and development for the environment in SSA.? Second, does China’s FDI clean up pollution through the reduction of Carbon dioxide (CO2) emissions? Lastly, does it lead to economic growth and development in SSA? The results of this analysis confirm and are consistent with other research findings that China is neither green nor clean but may lead to economic growth in the SSA, however statistically insignificant. Conversely, this research also proves that variables like education, government expenditure, and population growth lead to statistically significant economic growth. Furthermore, using the Granger Causality, it would be proved that GDP growth and CO2 emissions cause China’s FDI into SSA.
","abstract_html":"<p>This dissertation is an investigative study that utilized the Panel Vector Autoregressive (PVAR) model that examines the impact of China’s Foreign Direct Investment on the environment and economy of Sub-Saharan Africa (SSA). In evaluating this impact, 43 SSA countries were analyzed and subdivided into various income levels; three arguments were proposed and tested.First is China’s FDI in SSA, “green.” Does China’s FDI lead to sustainable growth and development for the environment in SSA.? Second, does China’s FDI clean up pollution through the reduction of Carbon dioxide (CO2) emissions? Lastly, does it lead to economic growth and development in SSA? The results of this analysis confirm and are consistent with other research findings that China is neither green nor clean but may lead to economic growth in the SSA, however statistically insignificant. Conversely, this research also proves that variables like education, government expenditure, and population growth lead to statistically significant economic growth. Furthermore, using the Granger Causality, it would be proved that GDP growth and CO2 emissions cause China’s FDI into SSA.</p>","abstract_has_math":false,"creators":["Okoma, Makuochukwu"],"institution":null,"degree_name":"Political Science and Economics, PhD interfield","degree_level":"Open Access Dissertation","degree_discipline":"School of Social Science, Politics, and Evaluation","degree_department":null,"school":null,"contributors":["Mark Abdollahian","Melissa Rogers"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-01-01T08:00:00Z","date_published":"2022-01-01T08:00:00Z","updated_at":"2026-07-24T01:40:15Z","subjects":["China","Clean","Economy","Foreign Direct Investment","Green","Sub-Saharan Africa","Economics","Political Science"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarship.claremont.edu/cgu_etd/462","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Mark Abdollahian","Melissa Rogers"]},{"key":"dc:creator","label":"Author","values":["Okoma, Makuochukwu"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2023-03-19T07:00:00Z"]},{"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 and Economics, PhD interfield"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["China","Clean","Economy","Foreign Direct Investment","Green","Sub-Saharan Africa","Economics","Political Science"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarship.claremont.edu/cgu_etd/462"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This dissertation is an investigative study that utilized the Panel Vector Autoregressive (PVAR) model that examines the impact of China’s Foreign Direct Investment on the environment and economy of Sub-Saharan Africa (SSA). In evaluating this impact, 43 SSA countries were analyzed and subdivided into various income levels; three arguments were proposed and tested.First is China’s FDI in SSA, “green.” Does China’s FDI lead to sustainable growth and development for the environment in SSA.? Second, does China’s FDI clean up pollution through the reduction of Carbon dioxide (CO2) emissions? Lastly, does it lead to economic growth and development in SSA? The results of this analysis confirm and are consistent with other research findings that China is neither green nor clean but may lead to economic growth in the SSA, however statistically insignificant. Conversely, this research also proves that variables like education, government expenditure, and population growth lead to statistically significant economic growth. Furthermore, using the Granger Causality, it would be proved that GDP growth and CO2 emissions cause China’s FDI into SSA.
"]},{"key":"dc:title","label":"Title","values":["Green, Clean, and Mean? China’s Foreign Direct Investment in Sub-Saharan Africa Economy"]}]}],"canonical_facts":{"dc:contributor":["Mark Abdollahian","Melissa Rogers"],"dc:creator":["Okoma, Makuochukwu"],"dc:date.available":["2023-03-19T07:00:00Z"],"dc:description.abstract":["This dissertation is an investigative study that utilized the Panel Vector Autoregressive (PVAR) model that examines the impact of China’s Foreign Direct Investment on the environment and economy of Sub-Saharan Africa (SSA). In evaluating this impact, 43 SSA countries were analyzed and subdivided into various income levels; three arguments were proposed and tested.First is China’s FDI in SSA, “green.” Does China’s FDI lead to sustainable growth and development for the environment in SSA.? Second, does China’s FDI clean up pollution through the reduction of Carbon dioxide (CO2) emissions? Lastly, does it lead to economic growth and development in SSA? The results of this analysis confirm and are consistent with other research findings that China is neither green nor clean but may lead to economic growth in the SSA, however statistically insignificant. Conversely, this research also proves that variables like education, government expenditure, and population growth lead to statistically significant economic growth. Furthermore, using the Granger Causality, it would be proved that GDP growth and CO2 emissions cause China’s FDI into SSA.
"],"dc:identifier":["https://scholarship.claremont.edu/cgu_etd/462"],"dc:subject":["China","Clean","Economy","Foreign Direct Investment","Green","Sub-Saharan Africa","Economics","Political Science"],"dc:title":["Green, Clean, and Mean? China’s Foreign Direct Investment in Sub-Saharan Africa Economy"],"thesis:degree_discipline":["School of Social Science, Politics, and Evaluation"],"thesis:degree_level":["Open Access Dissertation"],"thesis:degree_name":["Political Science and Economics, PhD interfield"]},"updated_at":"2026-07-24T01:40:15Z"}