This paper adopts a quantitative and qualitative lens, through which we explore the economic relationship between the region of Sub-Saharan Africa and China as a consequence of Chinese Foreign direct investments (FDI). Primarily, the paper’s direction, analysis, and discussions are dictated by the usage of primary and secondary data. Our primary data is constructed as a panel data set including GDP for 38 countries alongside the Chinese FDIs for each country during the period 2003-2021. Our secondary data includes already existing papers on topics related to our purpose and the data found in them. The main points include the economic development of Sub-Saharan Africa, the subsequent enforced Chinese economic policy, and further the gains China see from their strides into the region. In order to prove our hypothesis and research questions we've used econometric models.The panel data was used to conduct several time series regressions, where we further used different models and tests to get the best possible result Due to the fact that our regression shows a significant and positive correlation between economic growth in the region as a result of Chinese FDI, we can establish that past research is reinforced. Through the used model we’re enabled to look at the individual effects of every country in the region. In addition, by comparing these effects with the level of corruption and which type of income group the countries belong to, we can further highlight the fact that China tends to invest in countries who can offer something in return. Examples of such cases could be South Africa and Angola who are two of the biggest receivers of Chinese FDI in the region, which we, throughout the paper, attribute to the fact that they have an abundance of natural resources.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-194539 |
Date | January 2023 |
Creators | Pettersson, Axel, Patel, Rushil |
Publisher | Linköpings universitet, Nationalekonomi, Linköpings universitet, Filosofiska fakulteten |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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