Original Research

A conductive effect of aid volatility on health poverty in aid-recipient countries

Qinglong Xiong, Lanyong Liu, Hai Long
South African Journal of Economic and Management Sciences | Vol 27, No 1 | a5183 | DOI: https://doi.org/10.4102/sajems.v27i1.5183 | © 2024 Hai Long, Qinglong Xiong, Lanyong Liu | This work is licensed under CC Attribution 4.0
Submitted: 08 June 2023 | Published: 19 January 2024

About the author(s)

Qinglong Xiong, School of Economics, Management and Law, Jiangxi Science and Technology Normal University, Nanchang, China
Lanyong Liu, School of Economics, Management and Law, Jiangxi Science and Technology Normal University, Nanchang, China
Hai Long, International College, Krirk University, Bangkok, Thailand

Abstract

Background: Aid volatility has been frequently discussed but its effect on health poverty has not.

Aim: The aim of this study is to evaluate the effect of aid volatility on residential health in recipient countries.

Setting: Panel data from 91 recipient countries around the world from 1989 to 2017 were analysed.

Method: The Random Forest algorithm in machine learning was used.

Results: It reveals a conductive effect of aid volatility on public health, as aid volatility accounts for approximately 2.2%, 3.6%, 2.5% significance in child mortality, maternal mortality and life expectancy, respectively. Positive volatility causes more child mortality than negative volatility, while it causes less maternal mortality, although both kinds of volatility have a significant effect on life expectancy. Additionally, multinational aid volatility has a greater impact than bilateral volatility. The age dependency ratio affects maternal health and public life expectancy, while foreign aid and aid volatility are not crucial.

Conclusion: The donor nations or institutions should keep their aid growth-rate stable in order to ensure sustainable development in both the local economy and public health, while the recipient nations are encouraged to address these issues by developing their economy internally.

Contribution: According to a conductive effect framework developed during the research, theoretically, an indirect relationship between aid volatility and the health poverty level of recipient countries exists.


Keywords

foreign aid; aid volatility; health poverty; aid-recipient countries; machine learning method

JEL Codes

F35: Foreign Aid; I18: Government Policy • Regulation • Public Health

Sustainable Development Goal

Goal 1: No poverty

Metrics

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