Oil rents shocks and corruption in Iran

Abstract We 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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Publication Details

Journal
Review of Development Economics
Published
2024-08-20
DOI
https://doi.org/10.1111/rode.13149
Citations
3
Primary Topic
Natural Resources and Economic Development
Type
article
Field-Weighted Citation Impact
2.49
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article

Oil rents shocks and corruption in Iran

Reza Zamani, Mohammad Reza Farzanegan
3 citations
Review of Development Economics
Natural Resources and Economic Development
2.49
article

Oil rents shocks and corruption in Iran

Reza Zamani, Mohammad Reza Farzanegan
article en
3 citations

Abstract

Abstract We 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.

Review of Development EconomicsVol. 29(2)
Philipps University of Marburg (DE), Allameh Tabataba'i University (IR)
Peace, Justice and strong institutions
Openalex Percentile: Top 10%
Natural Resources and Economic Development
2.49
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