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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