• 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..
Seyed Kamal Sadeghi; Seyed Mehdi Mousavian
Volume 3, Issue 12 , October 2014, , Pages 91-116
Abstract
It is clear that any planning and policy making about economic growth as one of the macroeconomic purpose’s, need to special consideration to the environment and its relationship with production. therefore, in this study, we employ a maximum entropy Bootstrap to assessment the causality between ...
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It is clear that any planning and policy making about economic growth as one of the macroeconomic purpose’s, need to special consideration to the environment and its relationship with production. therefore, in this study, we employ a maximum entropy Bootstrap to assessment the causality between carbon emissions and economic growth more accurate in comparison to conventional hypothesis tests based on asymptotic theory. We employ simulation based inference to investigate the causal relationship between carbon emissions and economic growth in Iran for the 1973–2010 period, both in a bivariate and a multivariate framework by including energy consumption per capita, financial development and openness variables in the model. In bivariate model, Our results indicate that there is uni-directional causality from GDP per capita to carbon emissions per capita while multivariate framework shows no evidence of a causal relation between carbon emissions and growth. Results indicate that there is uni-directional causality from GDP per capita to energy consumption per capita. So we can employ environmental policies without any reduction of economic growth.
