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.
Hassan Heidari; Davoud Hamidi Razi
Volume 5, Issue 19 , June 2015, , Pages 56-41
Abstract
The purposes of this paper are the investigation of convergence hypothesis for GDP per labor in the presence of spatial dependence, and estimation of the spatial spillover effects of economic growth among the 11 adjacent countries of Caspian Sea during 1990 to 2010. Hence, the spatial Solow model has ...
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The purposes of this paper are the investigation of convergence hypothesis for GDP per labor in the presence of spatial dependence, and estimation of the spatial spillover effects of economic growth among the 11 adjacent countries of Caspian Sea during 1990 to 2010. Hence, the spatial Solow model has been estimated in the framework of spatial dynamic panel data. The results indicate that conditional beta convergence hypothesis is true for the countries under investigation and every country with average speed of 26.2% moves in the balanced growth path towards its own steady state. Moreover, according to the spatial Durbin model, there is a positive spatial autocorrelation of per labor GDP among adjacent countries of Caspian Sea; if the weighted average of neighboring countries per capita labor GDP of a country increases one percent, average per capita income of the country's labor force will raise 0.75 percent. Deepening regional cooperation and the development of common markets in order to gain more economic benefits are the two important policy proposed in this study.
