The driving factors of Chinese aid allocation to African countries
We investigate the driving factors of Chinese aid allocation to 44 African countries for the periods 2003–2017. The Poisson pseudo-maximum likelihood (PPML) procedure is applied to estimate the gravity model of aid and loan allocation as it can solve zero-valued observations and heterogeneity proble...
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Taylor & Francis Group
2020
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oai:doaj.org-article:00bd380d99774d5fbea748510caf9fc42021-12-02T15:59:51ZThe driving factors of Chinese aid allocation to African countries2331-197510.1080/23311975.2020.1812219https://doaj.org/article/00bd380d99774d5fbea748510caf9fc42020-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311975.2020.1812219https://doaj.org/toc/2331-1975We investigate the driving factors of Chinese aid allocation to 44 African countries for the periods 2003–2017. The Poisson pseudo-maximum likelihood (PPML) procedure is applied to estimate the gravity model of aid and loan allocation as it can solve zero-valued observations and heterogeneity problems prevalent in the panel data set. An aggregate indicator is derived for the quality of governance using principal component analysis. We controlled for aggregate Chinese aid and loans separately because a significant share of aid allocation China commits to African countries is repayable long-term loans. Controlling for source and destination countries’ motives of aid and loan allocation, our findings provide evidence that Chinese aid and loan flow to African countries is significantly determined by African countries’ and China’s strategic, economic and commercial factors. The results further examine the importance of China-Africa trade and Chinese FDI, China’s international support and foreign policy considerations in China’s aid and loan allocation policy to African countries. Additionally, it gives a detailed analysis of the aid-institution paradox.Jiang YushiDinkneh Gebre BorojoMiao MiaoXiaoyun ZhangTaylor & Francis Grouparticleaid allocationpoisson pseudo-maximum likelihood (ppml)gravity modelafrican countrieschinaBusinessHF5001-6182Management. Industrial managementHD28-70ENCogent Business & Management, Vol 7, Iss 1 (2020) |
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aid allocation poisson pseudo-maximum likelihood (ppml) gravity model african countries china Business HF5001-6182 Management. Industrial management HD28-70 |
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aid allocation poisson pseudo-maximum likelihood (ppml) gravity model african countries china Business HF5001-6182 Management. Industrial management HD28-70 Jiang Yushi Dinkneh Gebre Borojo Miao Miao Xiaoyun Zhang The driving factors of Chinese aid allocation to African countries |
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We investigate the driving factors of Chinese aid allocation to 44 African countries for the periods 2003–2017. The Poisson pseudo-maximum likelihood (PPML) procedure is applied to estimate the gravity model of aid and loan allocation as it can solve zero-valued observations and heterogeneity problems prevalent in the panel data set. An aggregate indicator is derived for the quality of governance using principal component analysis. We controlled for aggregate Chinese aid and loans separately because a significant share of aid allocation China commits to African countries is repayable long-term loans. Controlling for source and destination countries’ motives of aid and loan allocation, our findings provide evidence that Chinese aid and loan flow to African countries is significantly determined by African countries’ and China’s strategic, economic and commercial factors. The results further examine the importance of China-Africa trade and Chinese FDI, China’s international support and foreign policy considerations in China’s aid and loan allocation policy to African countries. Additionally, it gives a detailed analysis of the aid-institution paradox. |
format |
article |
author |
Jiang Yushi Dinkneh Gebre Borojo Miao Miao Xiaoyun Zhang |
author_facet |
Jiang Yushi Dinkneh Gebre Borojo Miao Miao Xiaoyun Zhang |
author_sort |
Jiang Yushi |
title |
The driving factors of Chinese aid allocation to African countries |
title_short |
The driving factors of Chinese aid allocation to African countries |
title_full |
The driving factors of Chinese aid allocation to African countries |
title_fullStr |
The driving factors of Chinese aid allocation to African countries |
title_full_unstemmed |
The driving factors of Chinese aid allocation to African countries |
title_sort |
driving factors of chinese aid allocation to african countries |
publisher |
Taylor & Francis Group |
publishDate |
2020 |
url |
https://doaj.org/article/00bd380d99774d5fbea748510caf9fc4 |
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