Arbeitspapier
Economic sanctions, energy efficiency, and environmental impacts: Evidence from Iranian industrial sub-sectors
Improving energy efficiency is vital for curtailing energy consumption and can have substantial impacts on alleviating carbon emissions. This study investigates the impact of sanctions on Iran's energy efficiency across different industrial sub-sectors from 2015 to 2019. We compute a sanctions index for each industrial sub-sector by using Principal Component Analysis (PCA). This index measures how much each sub-sector has been affected by sanctions. Additionally, energy efficiency is measured using the Directional Distance Function (DDF) method, considering the environmental impacts as undesirable outputs. We examine the effect of the degree of the sanctions indicator on energy efficiency using feasible generalized least squares (FGLS) estimation, controlling for other drivers of efficiency. Our results show a one standard deviation increase in sanctions index results in a decline of about 3% in sub-industrial energy efficiency.
- Language
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Englisch
- Bibliographic citation
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Series: MAGKS Joint Discussion Paper Series in Economics ; No. 03-2024
- Classification
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Wirtschaft
Energy: Demand and Supply; Prices
Econometric and Statistical Methods: Other
Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
International Conflicts; Negotiations; Sanctions
Industry Studies: Transportation and Utilities: General
- Subject
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Energy Efficiency
Directional Distance Function
Sanctions
Sectoral effects
FGLS
Iran
- Event
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Geistige Schöpfung
- (who)
-
Jabari, Leyla
Salem, Ali Asghar
Zamani, Omid
Farzanegan, Mohammad Reza
- Event
-
Veröffentlichung
- (who)
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Philipps-University Marburg, School of Business and Economics
- (where)
-
Marburg
- (when)
-
2024
- Handle
- Last update
-
10.03.2025, 11:44 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Jabari, Leyla
- Salem, Ali Asghar
- Zamani, Omid
- Farzanegan, Mohammad Reza
- Philipps-University Marburg, School of Business and Economics
Time of origin
- 2024
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