Artikel
Foreign aid, poverty and economic growth in developing countries: A dynamic panel data causality analysis
This article examines the causal relationship between foreign aid, poverty, and economic growth in 82 developing countries for the period 1981-2013. Taking advantage of the recently developed dynamic panel data estimation techniques, the paper tests for both panel unit roots and cointegration before employing the panel vector error-correction model (VECM) Granger causality test. The main findings are that in the short run, there is evidence of (a) a bidirectional causal relationship between economic growth and poverty; (b) a unidirectional causal relationship from economic growth to foreign aid; and (c) unidirectional causality from poverty to foreign aid. In the long-run, the study found that (a) foreign aid tends to converge to its long-run equilibrium path in response to changes in economic growth and poverty; and (b) both economic growth and poverty jointly Granger cause foreign aid.
- Sprache
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Englisch
- Erschienen in
-
Journal: Cogent Economics & Finance ; ISSN: 2332-2039 ; Volume: 7 ; Year: 2019 ; Issue: 1 ; Pages: 1-17 ; Abingdon: Taylor & Francis
- Klassifikation
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Wirtschaft
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
Foreign Aid
Measurement and Analysis of Poverty
- Thema
-
dynamic panel data analysis
economic growth
foreign aid
Granger causality
official development assistance (ODA)
poverty
vector error-correction model (VECM)
- Ereignis
-
Geistige Schöpfung
- (wer)
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Mahembe, Edmore
Odhiambo, Nicholas M.
- Ereignis
-
Veröffentlichung
- (wer)
-
Taylor & Francis
- (wo)
-
Abingdon
- (wann)
-
2019
- DOI
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doi:10.1080/23322039.2019.1626321
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
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Objekttyp
- Artikel
Beteiligte
- Mahembe, Edmore
- Odhiambo, Nicholas M.
- Taylor & Francis
Entstanden
- 2019
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