Driving economic growth in African countries: Do Chinese OFDI sectors matter?
Published In: Social Science Quarterly (Wiley-Blackwell), 2024, v. 105, n. 3. P. 726 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Fambo, Houlda; Shunqi, Ge 3 of 3
Abstract
Background: Recent years have witnessed a growing interest among academics and policymakers in understanding the mechaninsms through which Chinese outward direct investment (OFDI) impact economic growth in Africa. Method: This study utilzes a dataset spanning 41 African countries from 2005 to 2020,employing panel‐corrected standard error (PCSE) and quantile regression. Objective: This study explore the mechanisms through which Chinese OFDI stock contributes to economic growth in Africa,with a particular focus on financial development and transport infrastructure. Results: The results indicate a significant and positive impact of the interaction between Chinese OFDI stock and both financial development and transport infrastructure on economic growth. The subregional analysis reveals varying correlations across regions, while the quantile regression analysis demonstrates a stronger effect on economic growth as we move to higher quantiles. Conclusion: The study underscores the importance of enhancing infrastructure and financial sector development to attract more Chinese OFDI and maximize its positive impact of economic growth in African nations. Hence, we recommend that African countries improve the infrastructure and financial sector of their country to attract more chinese OFDI and also enhance its effectiveness on their economic growth. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Social Science Quarterly (Wiley-Blackwell). 2024/05, Vol. 105, Issue 3, p726
- Document Type:Article
- Subject Area:Economics
- Publication Date:2024
- ISSN:0038-4941
- DOI:10.1111/ssqu.13376
- Accession Number:177532334
- Copyright Statement:Copyright of Social Science Quarterly (Wiley-Blackwell) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.