Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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The purpose of this study is to analyze the effect of public debt on private investment in Sub-Saharan Africa (SSA). To this end, we proceed with the econometric estimation of the data for a panel of 43 SSA countries over the period 2000-2018. All of this data comes from the World Bank (IDS, WDI, WGI) and the IMF (WEO). In order to achieve robust results, three estimation methods are used: the Ordinary Least Squares (OLS) method, the Ordinary Doubles Least Squares (ODLS) method and the Quantile regression method. All other things being equal, the results show that public debt reduces private investment because of credit rationing and higher taxes to honor debt services. However, we find that the debt from China is positively correlated with private investment. Therefore, to reconcile public debt and private investment, SSA countries need to implement appropriate policies that will ensure that public debt is used optimally to further stimulate private investment. Indeed, SSA countries must encourage and monitor the channeling of financial resources to productive activities likely to strengthen private investment.
Alioum Hamadou. 2026. \u201cPublic Debt and Private Investment in Subsaharan Africa\u201d. Global Journal of Human-Social Science - E: Economics GJHSS-E Volume 22 (GJHSS Volume 22 Issue E1): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 101
Country: Cameroon
Subject: Global Journal of Human-Social Science - E: Economics
Authors: Alioum Hamadou (PhD/Dr. count: 0)
View Count (all-time): 145
Total Views (Real + Logic): 1924
Total Downloads (simulated): 36
Publish Date: 2026 01, Fri
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The purpose of this study is to analyze the effect of public debt on private investment in Sub-Saharan Africa (SSA). To this end, we proceed with the econometric estimation of the data for a panel of 43 SSA countries over the period 2000-2018. All of this data comes from the World Bank (IDS, WDI, WGI) and the IMF (WEO). In order to achieve robust results, three estimation methods are used: the Ordinary Least Squares (OLS) method, the Ordinary Doubles Least Squares (ODLS) method and the Quantile regression method. All other things being equal, the results show that public debt reduces private investment because of credit rationing and higher taxes to honor debt services. However, we find that the debt from China is positively correlated with private investment. Therefore, to reconcile public debt and private investment, SSA countries need to implement appropriate policies that will ensure that public debt is used optimally to further stimulate private investment. Indeed, SSA countries must encourage and monitor the channeling of financial resources to productive activities likely to strengthen private investment.
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