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Review of Development Economics
Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
EconStor
Article . 2024
License: CC BY
Data sources: EconStor
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Oil rents shocks and corruption in Iran

Authors: Mohammad Reza Farzanegan; Reza Zamani;

Oil rents shocks and corruption in Iran

Abstract

AbstractWe investigate the response of the news‐based corruption reflection index to positive shocks in oil rents in Iran. Using annual data spanning from 1962 to 2019, we employ the vector autoregressive model and analyze generalized impulse responses. Our findings reveal a statistically significant and positive (increasing) response of corruption to positive oil rent shocks. The primary mechanisms through which this relationship operates encompass inflation, increased military expenditures, and the erosion of democratic institutions. Our results demonstrate robustness when subjected to alternative corruption measurements, and when considering the role of internal conflict. The outcomes remain consistent regardless of the variable order in the estimation process. Additionally, we offer context from Iran and expound on clientelism in public investment projects, providing insight into how oil rents may contribute to corruption.

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Keywords

ddc:330, vector autoregressive (VAR) model, corruption, Iran, oil rents, resource curse

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
hybrid