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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Autores principales: Jiang Yushi, Dinkneh Gebre Borojo, Miao Miao, Xiaoyun Zhang
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Lenguaje:EN
Publicado: Taylor & Francis Group 2020
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Acceso en línea:https://doaj.org/article/00bd380d99774d5fbea748510caf9fc4
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic aid allocation
poisson pseudo-maximum likelihood (ppml)
gravity model
african countries
china
Business
HF5001-6182
Management. Industrial management
HD28-70
spellingShingle 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
description 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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