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Energy intensity determinants based on structure-oriented cointegration by embedding a knowledge box in a time series
Parisa Esmaeili1, Meysam Rafei2
1Faculty of Economics, Kharazmi University, Tehran, Iran.
Environmental Science and Pollution Research International
|October 1, 2021
Summary
Reducing energy intensity in Iran requires effective policies. Government investment significantly lowers energy intensity, making it the most impactful strategy for optimizing energy consumption and achieving sustainability.
Area of Science:
- Environmental Economics
- Energy Policy
- Sustainable Development
Background:
- High energy consumption in Iran necessitates urgent energy intensity reduction strategies.
- Identifying key economic and policy drivers influencing energy intensity is crucial for effective intervention.
Purpose of the Study:
- To assess the impact of financial development, government investment, oil revenues, and trade openness on energy intensity in Iran.
- To determine the most effective policy levers for reducing energy intensity.
Main Methods:
- Combined Structural Vector Error Correction Model (SVECM) and Directed Acyclic Graphs (DAG).
- Utilized impulse response functions and variance decomposition analysis to examine variable relationships.
Main Results:
- Financial development, government investment, oil revenues, and trade openness were found to influence energy intensity.
- Government investment, oil revenues, and trade openness showed a negative association with energy intensity.
- Financial development exhibited a positive influence on energy intensity.
Conclusions:
- Government investment emerged as the most significant factor in reducing energy intensity.
- Policy recommendations include leveraging oil revenues to boost government investment and trade openness, alongside private sector taxation.
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