TY - JOUR
T1 - Effects of public debt on public infrastructure investment in Ghana
AU - Frimpong, Benjamin
AU - Fumey, Abel
AU - Nketiah-Amponsah, Edward
N1 - Publisher Copyright:
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2024
Y1 - 2024
N2 - Though studies abound on the relationship between public debt and other macroeconomic variables, research on the effects of public debt on government infrastructure investment, particularly in Ghana has not received much scholarly attention. Therefore, this relationship is explored in this study by using the Non-linear Autoregressive Distributed Lagged (NARDL) model for an annual dataset from 1983 to 2020. The findings indicate a positive correlation between foreign debt and infrastructure investments in both the short-run and the long-run suggesting that foreign debt have more significant impact on public infrastructure investment than domestic debt, highlighting the crucial role of foreign debt in financing Ghana’s infrastructure investments. In the long-run, the study finds a positive asymmetric link between foreign debt and public infrastructure. In particular, a rise in public infrastructure investment by 3.1% increases external debt by 1.3% as foreign debt has a higher effect on public infrastructure investment in the long term. Additionally, public expenditure has a positive effect on public infrastructure investment in the long run whereby a 1% increase in public spending leads to 2.06% rise in public infrastructure investments. The study further identifies a positive asymmetric impact of public debt on public infrastructure investment in Ghana. For policy purposes, the study suggests that government directs public debts to economic projects through capital formation, rather than for consumption purposes. It further advocates for prudent debt management by investing more in capital projects to enhance production and good returns.
AB - Though studies abound on the relationship between public debt and other macroeconomic variables, research on the effects of public debt on government infrastructure investment, particularly in Ghana has not received much scholarly attention. Therefore, this relationship is explored in this study by using the Non-linear Autoregressive Distributed Lagged (NARDL) model for an annual dataset from 1983 to 2020. The findings indicate a positive correlation between foreign debt and infrastructure investments in both the short-run and the long-run suggesting that foreign debt have more significant impact on public infrastructure investment than domestic debt, highlighting the crucial role of foreign debt in financing Ghana’s infrastructure investments. In the long-run, the study finds a positive asymmetric link between foreign debt and public infrastructure. In particular, a rise in public infrastructure investment by 3.1% increases external debt by 1.3% as foreign debt has a higher effect on public infrastructure investment in the long term. Additionally, public expenditure has a positive effect on public infrastructure investment in the long run whereby a 1% increase in public spending leads to 2.06% rise in public infrastructure investments. The study further identifies a positive asymmetric impact of public debt on public infrastructure investment in Ghana. For policy purposes, the study suggests that government directs public debts to economic projects through capital formation, rather than for consumption purposes. It further advocates for prudent debt management by investing more in capital projects to enhance production and good returns.
KW - Chris Jones, Aston University, UK
KW - Economics
KW - Finance
KW - Ghana
KW - government expenditure
KW - infrastructure investment
KW - Macroeconomics
KW - non-linear ARDL
KW - Public debt
UR - http://www.scopus.com/inward/record.url?scp=85197445741&partnerID=8YFLogxK
U2 - 10.1080/23322039.2024.2363460
DO - 10.1080/23322039.2024.2363460
M3 - Article
AN - SCOPUS:85197445741
SN - 2332-2039
VL - 12
JO - Cogent Economics and Finance
JF - Cogent Economics and Finance
IS - 1
M1 - 2363460
ER -