Green, Clean, and Mean? China’s Foreign Direct Investment in Sub-Saharan Africa Economy
type: CreativeWork
description: 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: 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.
author: Okoma, Makuochukwu
keywords: China, Clean, Economy, Foreign Direct Investment, Green, Sub-Saharan Africa, Economics, Political Science
date published: 2022-01-01T08:00:00Z
date modified: 2026-07-24T01:40:15Z
provider: Claremont Graduate University
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Claremont Graduate University