• مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
Mansour Zarra Nezhad; Aram Amirnia
Abstract
The main purpose of this study is to investigate the effect of economic and social factors on the emission of carbon dioxide, which has been used as a measure of environmental pollution in Iran for the period of 1352-1397. In order to measure the economic and social factors affecting environmental pollution, ...
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The main purpose of this study is to investigate the effect of economic and social factors on the emission of carbon dioxide, which has been used as a measure of environmental pollution in Iran for the period of 1352-1397. In order to measure the economic and social factors affecting environmental pollution, it is necessary to study the short-term and long-term relationship between fuel oil consumption, urbanization, economic growth, and carbon dioxide emissions in Iran. For this purpose, the autoregression model with extended distribution intervals (ARDL) was used. The results show that the error correction coefficient obtained in this model shows that in each period, 33% of the short-term failure error can be made to achieve a long-term comparison. According to the estimate, the increase in fuel oil consumption, urbanization, and economic growth have a positive effect on carbon dioxide emissions both in the short term and in the long term. Also, the long-term results indicate that with an increase of one percent of gross domestic production, fuel oil consumption and urban population increase carbon dioxide emissions by 0.849, 0.166, and 1.566 percent, respectively. Therefore, the first step to reduce carbon dioxide emissions in the country is to pay attention to the amount of fuel oil consumption, hence policies can be made to use alternative energies such as renewable energies to reduce carbon dioxide emissions.
• مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
Esmaeel Safarzadeh; Ensieh Shad Ostanjin
Abstract
Increasing global warming is the result of the gradual accumulation of greenhouse gases in the living environment. Energy production systems in general and electricity production in particular is one of the effective factors in the production of greenhouse gases. Therefore, on the one hand, environmental ...
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Increasing global warming is the result of the gradual accumulation of greenhouse gases in the living environment. Energy production systems in general and electricity production in particular is one of the effective factors in the production of greenhouse gases. Therefore, on the one hand, environmental considerations and on the other hand, the limitation of fossil resources have made it necessary to change the energy production system and replace fossil fuels. In this regard, the use of renewable energy resources such as hydropower can be a good alternative to fossil fuels. This article has studied the effect of hydropower consumption on Iran's environment. Hence article has estimated the short-run and long-run relationship between hydropower consumption and different measures of environmental degradation including ecological footprint, carbon footprint, and CO2 emission in the Iranian economy during 1980-2018. For this purpose, the Autoregressive distributed lag (ARDL) approach has been used. The estimation of the specified models indicates the existence of a long-run relationship between the variables included in these models and shows that in the short and long run, there is a significant negative relationship between hydropower consumption and carbon dioxide emissions, and carbon footprints. In other words, the use of hydropower in the short and long run reduces the carbon footprint and emissions of carbon dioxide. Hydropower also affects the ecological footprint in the short run.
fotros mohammadhasan; mostafa omidali; amirmohammad galavani
Abstract
The aim of this study is to estimate the domestic balance of natural gas per capita in the Iran, as well as its forecast for the period 2017 - 2037. In this study, with employing dynamic models Autoregressive Distributed Lag (ARDL), at first, long-term and short-term elasticity of per capita natural ...
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The aim of this study is to estimate the domestic balance of natural gas per capita in the Iran, as well as its forecast for the period 2017 - 2037. In this study, with employing dynamic models Autoregressive Distributed Lag (ARDL), at first, long-term and short-term elasticity of per capita natural gas demand in Iran for the period 1981-2016 is estimated. Then with using a hybrid ARDL and ARIMA model, we predict the balance natural gas per capita up to the year 2037. The results show that amount of per capita natural gas demand will reach 4177.36 million cubic meters in 2037, as well as the amount of per capita natural gas supply will reach 3417.26 million cubic meters in this years. For responding this excess demand should be adopting policies to increase production or constrainting natural gas demand.
Hamid Amadeh
Volume 2, Issue 8 , October 2013, , Pages 21-43
Abstract
Due to importance of energy factor in agricultural sector and considering the increasing energy price in recent years, analysis of energy demand is very important. In this paper in order to analyse agricultural energy demand, OLS, FMOLS and Johansen cointegration method and ARDL approach ...
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Due to importance of energy factor in agricultural sector and considering the increasing energy price in recent years, analysis of energy demand is very important. In this paper in order to analyse agricultural energy demand, OLS, FMOLS and Johansen cointegration method and ARDL approach has been used and results of these methods have been compared. Data on energy price index, energy consumption and agricultural value added for priod 1355-1388 were used. Results showed that long run and short run price elasticity of energy consumtion are between -0.3 to -0.327 and -0.09 to -0.102 respectively. Also income elasticity of energy consumption estimated egual to 0.7. Results of OLS estimation of Log-Log model, Johansen cointegration method and ARDL approach are very similar. Because of price inelasticity of energy consumption especially in the shortrun, price policies are not likely to reduce energy consumtion considerably. Price policies can be more effective in the longrun, but this is subject to improvemeats in the energy consumption technology.
Misib Pahlavani; Hajar Asna Ashri; Ali Sardar Shahraki
Volume 2, Issue 7 , July 2013, , Pages 1-15
Abstract
Industrialization leads to emission of carbon dioxide from extensive use of fossil fuels. This study investigates the dynamic relationship between economic growth, trade freedom, coal consumption and carbon dioxide emission in Iran. An autoregressive distributed lag (ARDL) model is designed to study ...
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Industrialization leads to emission of carbon dioxide from extensive use of fossil fuels. This study investigates the dynamic relationship between economic growth, trade freedom, coal consumption and carbon dioxide emission in Iran. An autoregressive distributed lag (ARDL) model is designed to study the short term and long term relationship. After evaluating the model for unit root test, a logistic regression analysis was run on the basic of 1986-2012 data for the economy of Iran. Our findings indicate the existence of a significant correlation between economic growth, trade freedom and coal consumption with carbon dioxide emission. Thus the presence of Environmental Kuznets Curve are confirmed both in the short-run and long-run. Panning for coal consumption reduction can be emphasized as a policy tool for emission reduction.
Sayed Kamal Sadegi; Saeed Ebrahimi
Volume 2, Issue 7 , July 2013, , Pages 43-73
Abstract
Industrialization leads to emission of carbon dioxide from extensive use of fossil fuels. This study investigates the dynamic relationship between economic growth, trade freedom, coal consumption and carbon dioxide emission in Iran. An autoregressive distributed lag (ARDL) model is designed to study ...
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Industrialization leads to emission of carbon dioxide from extensive use of fossil fuels. This study investigates the dynamic relationship between economic growth, trade freedom, coal consumption and carbon dioxide emission in Iran. An autoregressive distributed lag (ARDL) model is designed to study the short term and long term relationship. After evaluating the model for unit root test, a logistic regression analysis was run on the basic of 1986-2012 data for the economy of Iran. Our findings indicate the existence of a significant correlation between economic growth, trade freedom and coal consumption with carbon dioxide emission. Thus the presence of Environmental Kuznets Curve are confirmed both in the short-run and long-run. Panning for coal consumption reduction can be emphasized as a policy tool for emission reduction.
