TY - JOUR
T1 - Can resource windfalls reduce corruption?
T2 - The role of term limits
AU - Raveh, Ohad
AU - Tsur, Yacov
N1 - Publisher Copyright:
© 2023 Elsevier Inc.
PY - 2023/10
Y1 - 2023/10
N2 - Can resource windfalls reduce corruption? We find that, in democratic regimes with unlimited reelection, the answer is in the affirmative, contrasting a widely held view. The reason is that resource windfalls increase future graft prospects, motivating opportunistic incumbents to postpone their planned embezzlement, which in turn requires them to seek reelection and behave well in order to increase the reelection chances. Term limits mitigate, and may even reverse, this effect by inducing opportunistic incumbents that otherwise would seek reelection to step down. We test the model's predictions using a panel of U.S. states over the period 1976–2007. Our identification strategy rests on constitutionally-entrenched differences in gubernatorial term limits, and geographically-based cross-state differences in natural resource endowments. Our baseline estimates point at a sizeable impact. We find that a one standard deviation increase in resource windfalls decreases the average corruption level in states with no term limits by 20%, but increases average corruption in states with term limits by 10%. These results suggest that the nature of political institutions is important for understanding the nexus between resource windfalls and corruption.
AB - Can resource windfalls reduce corruption? We find that, in democratic regimes with unlimited reelection, the answer is in the affirmative, contrasting a widely held view. The reason is that resource windfalls increase future graft prospects, motivating opportunistic incumbents to postpone their planned embezzlement, which in turn requires them to seek reelection and behave well in order to increase the reelection chances. Term limits mitigate, and may even reverse, this effect by inducing opportunistic incumbents that otherwise would seek reelection to step down. We test the model's predictions using a panel of U.S. states over the period 1976–2007. Our identification strategy rests on constitutionally-entrenched differences in gubernatorial term limits, and geographically-based cross-state differences in natural resource endowments. Our baseline estimates point at a sizeable impact. We find that a one standard deviation increase in resource windfalls decreases the average corruption level in states with no term limits by 20%, but increases average corruption in states with term limits by 10%. These results suggest that the nature of political institutions is important for understanding the nexus between resource windfalls and corruption.
KW - Corruption
KW - Reelection
KW - Resource windfalls
KW - Signaling
KW - Term limits
UR - http://www.scopus.com/inward/record.url?scp=85174682520&partnerID=8YFLogxK
U2 - 10.1016/j.jeem.2023.102891
DO - 10.1016/j.jeem.2023.102891
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AN - SCOPUS:85174682520
SN - 0095-0696
VL - 122
JO - Journal of Environmental Economics and Management
JF - Journal of Environmental Economics and Management
M1 - 102891
ER -