Does corruption facilitate growth? : a cross-national study in a non-linear framework

Shrabani Saha; Girijasankar Mallik; Dimitrios Vortelinos

doi:10.1177/2277978717727174

Does corruption facilitate growth? : a cross-national study in a non-linear framework

Shrabani Saha, Girijasankar Mallik, Dimitrios Vortelinos

Western Sydney University

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

The article examines the corruption–growth relationship in a non-linear framework using panel fixed effects (FE) and system generalized methods of moments (SGMM) model for over 110 countries for the period 1984–2009. The results reveal that the least corrupt countries enjoy higher growth rates, whereas highly corrupt countries experience low growth. Furthermore, corruption has a positive and significant effect on economic growth up to a certain level and thereafter it reduces growth. The results are robust under various methodology and an alternative measure of corruption. JEL Classification: D73, O47, O50.

Original language	English
Pages (from-to)	178-193
Number of pages	16
Journal	South Asian Journal of Macroeconomics and Public Finance
Volume	6
Issue number	2
DOIs	https://doi.org/10.1177/2277978717727174
Publication status	Published - 1 Dec 2017

Bibliographical note

Publisher Copyright:
© 2017, © 2017 SAGE Publications.

Keywords

corruption
growth

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1177/2277978717727174

Cite this

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abstract = "The article examines the corruption–growth relationship in a non-linear framework using panel fixed effects (FE) and system generalized methods of moments (SGMM) model for over 110 countries for the period 1984–2009. The results reveal that the least corrupt countries enjoy higher growth rates, whereas highly corrupt countries experience low growth. Furthermore, corruption has a positive and significant effect on economic growth up to a certain level and thereafter it reduces growth. The results are robust under various methodology and an alternative measure of corruption. JEL Classification: D73, O47, O50.",

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AB - The article examines the corruption–growth relationship in a non-linear framework using panel fixed effects (FE) and system generalized methods of moments (SGMM) model for over 110 countries for the period 1984–2009. The results reveal that the least corrupt countries enjoy higher growth rates, whereas highly corrupt countries experience low growth. Furthermore, corruption has a positive and significant effect on economic growth up to a certain level and thereafter it reduces growth. The results are robust under various methodology and an alternative measure of corruption. JEL Classification: D73, O47, O50.

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Does corruption facilitate growth? : a cross-national study in a non-linear framework

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

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