Mosab Abdollahi Arani; Nasrin Mansouri; siavoshe jani; Nooshin Aghyee
Abstract
In recent decades, the risks and environmental damage caused by economic growth, population growth and energy consumption have become more apparent. Meanwhile, one of the new advances in the study of the relationship between economic factors affecting environmental quality is the attention to the spatial ...
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In recent decades, the risks and environmental damage caused by economic growth, population growth and energy consumption have become more apparent. Meanwhile, one of the new advances in the study of the relationship between economic factors affecting environmental quality is the attention to the spatial nature of environmental phenomena. Therefore, the aim of this study was to model the relationship between carbon dioxide (CO2) emissions and economic growth along with other influential factors. CO2 emissions as a criterion for environmental pollution in Iran have been studied using the Spatial Durbin Model (SDM) and in the framework of spatial panel data among the provinces of Iran during the period 2003-2017. The results of this study show that in total, real GDP per capita increases CO2 emissions at the provincial level, because the positive real GDP per capita coefficient is larger than the negative real GDP per capita coefficient of space. Another very important variable in increasing CO2 emissions in the provinces is the intensity of energy consumption and its spatial interruption, which has the highest significant and positive coefficients in the model of this paper. Also, the weighted price of provincial energy and its space interruption have had a significant and negative effect on CO2 emissions. Although increasing the degree of urbanization has not had a significant effect on CO2 emissions in the same province, but increasing the degree of urbanization in neighboring provinces has increased CO2 emissions. Finally, the spatial interruption coefficient of the dependent variable is significant and positive, which shows that the increase in CO2 emissions in neighboring provinces has increased CO2 emissions in the same province.
mohamad jafari; ali HASANVAND; Younes Goli
Abstract
The economic growth gap between countries is one of the most important economic realities, and it is important to recognize the main causes. In this regard, the present study uses the statistical evidence of 91 countries over 2003-2017 and the analysis of the spatial theil index to estimate the components ...
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The economic growth gap between countries is one of the most important economic realities, and it is important to recognize the main causes. In this regard, the present study uses the statistical evidence of 91 countries over 2003-2017 and the analysis of the spatial theil index to estimate the components of the economic growth gap of countries. The results show that the share of neighborhood effects in determining the economic growth gap is more than the share of productivity difference. Also, the share of spatial effects in the growth difference of European countries and the share of productivity difference in the growth difference of Asian countries has been higher than other factors. In addition, the economic growth of European countries is convergent and Asian countries is divergent. According to the estimated model by GMM approach, industrialization is one of the main factors for the difference in economic growth of countries. Therefore, with the development of industry and increasing productivity, Iranian economy can be to converge to the top economies.