• مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
Seyyed Mohammad Ghaem Zabihi; Rasta Kamalian; Fatemeh Akbari; Ali Akbar Naji Meidani
Abstract
The current study has studied the threshold effects of energy consumption structure and GDP per capita variables on carbon emissions from 2002 to 2019 for 37 selected countries (with middle to high-income levels) using the non-linear approach of Panel Smooth Transition Regression Models. For this purpose, ...
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The current study has studied the threshold effects of energy consumption structure and GDP per capita variables on carbon emissions from 2002 to 2019 for 37 selected countries (with middle to high-income levels) using the non-linear approach of Panel Smooth Transition Regression Models. For this purpose, two separate models have been estimated by considering energy consumption structure transfer and GDP per capita variables. The results indicate a non-linear relationship between the studied variables in both models. The estimation results of both models show that GDP per capita (in the threshold state of energy consumption structure) and energy consumption structure (in the threshold state of GDP per capita) positively affect carbon emissions. Also, urbanization and trade openness have a positive effect on carbon emissions in both models. Thus, the results show that increasing efficiency in energy consumption and GDP per capita structure can significantly reduce carbon emissions. These findings point to the importance of optimizing energy policies and the crucial role of changes in the economic structure in managing greenhouse gas emissions.
Reza Darisavi Bahmanshir; Ali Akbar Naji Meidani; Ali Akbar Naji Meidani; Narges Salehnia
Abstract
The purpose of this study was to investigate the effect of technology changes and environmental constraints on the estimated oil demand function of non-OECD countries that import oil from Iran based on symmetric and asymmetric specification. For this purpose, data from the 1970 to 2014 period were used ...
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The purpose of this study was to investigate the effect of technology changes and environmental constraints on the estimated oil demand function of non-OECD countries that import oil from Iran based on symmetric and asymmetric specification. For this purpose, data from the 1970 to 2014 period were used by non-OECD non-OECD oil importers from Iran, including Russia, South Africa, China, and India. Given the first-order difference between the variables studied, the modified least squares method (FMOLS) was used to estimate. The results of this study showed that imposing environmental limitations on carbon dioxide reductions in oil-importing countries from Iran could reduce oil demand from oil-importing countries from Iran. Also, the results showed that improving technology in the selected countries of the oil importer from Iran will increase the demand for these oil products.
