PROGRESS IN GEOGRAPHY ›› 2020, Vol. 39 ›› Issue (5): 766-778.doi: 10.18306/dlkxjz.2020.05.006

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Spatial relationship of country allocation of aid to Africa between China and OECD

SHAO Jing, WANG Maojun*()   

  1. College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
  • Received:2019-03-07 Revised:2019-06-16 Online:2020-05-28 Published:2020-07-28
  • Contact: WANG Maojun E-mail:maojunw@yeah.net
  • Supported by:
    National Natural Science Foundation of China(41571154);National Natural Science Foundation of China(41771183)

Abstract:

China's aid to Africa (Aid) has received increasing attention from the international community as this aid is breaking the original aid pattern in this continent, but existing literatures paid little attention to the spatial relationship of aid to Africa between China and the OECD (Organization for Economic Co-operation and Development). Based on the data of Aid from China and ODA (Official Development Assistance) from OECD to 44 countries in Africa from 2001 to 2012, this study analyzed the geographical distribution features and the spatial evolution of the Aid and the ODA, and identified quantitatively their spatial convergence relationship by constructing a static panel regression model. The results show that: 1) The temporal change was synchronistic with significant increase in the amount of aid, and timing correlation was obvious as the changes of rank-size distribution of African countries tended to converge. 2) There exited homogeneity in spatial distribution, the degree of spatial match was high, and the main recipient countries were similar. 3) In addition to the consistency of response mode, there was a steady and significant positive relationship between the Aid and the ODA, and the degree of response to the ODA from the Aid was more sensitive and marked. 4) The influencing factors were similar, especially manifested in terms of GDP per capita and the incidence of malnutrition.

Key words: Aid, ODA, spatial convergence, static panel regression model