The Devil is in the Details: On the Robust Determinants of Development Aid in G5 Sahel Countries
Nimonka Bayale () and
Brigitte Kanga Kouassi ()
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Nimonka Bayale: Economic Studies and Regional Integration Directorate
Brigitte Kanga Kouassi: University of Kara
Comparative Economic Studies, 2022, vol. 64, issue 4, No 4, 646-680
Abstract This paper introduces model uncertainty into the empirical study on the determinants of development aid at the regional level. This is done by adopting a panel Bayesian model averaging approach applied on the data of G5 Sahel countries, spanning the period 1980–2018. Our results suggest that among the regressors considered, those reflecting terrorist attacks, trade stakes including military expenditure, socioeconomic prospects and institutional conditions tend to receive high posterior inclusion probabilities. Then, the study explores the relationship between these regressors and foreign aid by employing the fully modified ordinary least squares (FMOLS), the continuously updated fully modified (CUP-FM), the dynamic ordinary least squares (DOLS) long-run estimators and the Dumitrescu and Hurlin’s (2012) panel causality test. Results highlight three concerns that may justify aid flows toward G5 Sahel countries: (a) peace and security purposes, (b) economic interest of donors and (c) recipient economic needs. The paper recommends that the Sahel countries should strengthen international cooperation for security and peace in compliance with the goal 16 of the 2030 Agenda for sustainable development of the United Nations (UN) and the goal 13 of the African Union’s (AU) Agenda 2063.
Keywords: Bayesian model averaging; Foreign aid; Instability; Security and Peace; G5 Sahel (search for similar items in EconPapers)
JEL-codes: C11 F35 F51 H56 P26 (search for similar items in EconPapers)
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