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The purpose of this paper is to assess the impact of corruption on inter-temporal social welfare in Africa. From a sample of 34 countries over the period 2002-2017, an ordinary least squares panel estimation of the model leads to the following results: (i) any increase of one point of the level of corruption leads directly to a reduction of just over two points in adjusted net saving per capita in Africa. This result confirms the moralistic theory which highlights the fact that by abrading the productive base of the economy, corruption thus contributes to the deterioration of inter-temporal social welfare in Africa. (ii) These results also show a positive influence of lagging GDP per capita, a negative influence of natural resource revenue and the Central Africa sub region membership, on the adjusted net saving rate per capita.
mbouandi_njikam_mouhamed. 2020. \u201cEvaluation De L’incidence De La Corruption Sur Le Bien-Etre Intertemporel En Afrique\u201d. Global Journal of Management and Business Research - B: Economic & Commerce GJMBR-B Volume 20 (GJMBR Volume 20 Issue B11): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
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Total Score: 101
Country: Unknown
Subject: Global Journal of Management and Business Research - B: Economic & Commerce
Authors: Mbouandi Njikam Mouhamed (PhD/Dr. count: 0)
View Count (all-time): 170
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Publish Date: 2020 11, Mon
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The purpose of this paper is to assess the impact of corruption on inter-temporal social welfare in Africa. From a sample of 34 countries over the period 2002-2017, an ordinary least squares panel estimation of the model leads to the following results: (i) any increase of one point of the level of corruption leads directly to a reduction of just over two points in adjusted net saving per capita in Africa. This result confirms the moralistic theory which highlights the fact that by abrading the productive base of the economy, corruption thus contributes to the deterioration of inter-temporal social welfare in Africa. (ii) These results also show a positive influence of lagging GDP per capita, a negative influence of natural resource revenue and the Central Africa sub region membership, on the adjusted net saving rate per capita.
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