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.
Yaser Feizabadi; Fatemeh Maleki
Volume 5, 17(2) , October 2015, , Pages 80-69
Abstract
Development trend has different stages in different countries so that countries are divided into different categories such as developed, less developed or undeveloped. The development process of different rural areas is not also the same within a country. The aim of this study is to rank and then compare ...
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Development trend has different stages in different countries so that countries are divided into different categories such as developed, less developed or undeveloped. The development process of different rural areas is not also the same within a country. The aim of this study is to rank and then compare the development degree of rural areas of Iran`s provinces using the factor analysis and numerical taxonomy methods in two years 2004 and 2014. The results of the comparison between provinces in 2004 demonstrate nine provinces as developed, eight provinces as moderately developed, four provinces as less developed, and five as under-developed, dozens of other provinces were considered heterogeneous, while the results in 2014 recognize six provinces as developed, eight provinces as moderately developed, six provinces as less developed, six provinces as under-developed and five provinces were considered inconsistent with other provinces. In general, the degree of inequality in rural areas has declined (0.017) slightly after one decade. So production rise within the agricultural sector accompanied by appropriate income distribution among villagers has been advised.