Somayeh Azami; Hamid Rahmani; Sohrab Delangizan
Abstract
The empirical test of the environmental Kuznets curve (EKC) hypothesis plays an important role in designing a macroeconomic model for sustainable economic development; The purpose of this study is to examine the relationship between growth and carbon dioxide emissions, emphasizing the role of renewable ...
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The empirical test of the environmental Kuznets curve (EKC) hypothesis plays an important role in designing a macroeconomic model for sustainable economic development; The purpose of this study is to examine the relationship between growth and carbon dioxide emissions, emphasizing the role of renewable and fossil energy consumption in developing and developed countries. For this purpose, 26 developed countries and 41 developing countries have been considered in the period of 2000-2021. The results of the Westerland cointegration test (with cross-sectional dependence between countries) in developed countries and the Kao cointegration test (without cross-sectional dependence between countries) in developing countries indicate the existence of a long-term relationship between model variables in both groups of countries. FGLS and PCSE estimators show that in both groups of countries, renewable energy consumption has a positive and significant impact on the quality of the environment, and the absolute value of this impact is greater in developed countries than in developing countries, while this result for Fossil energy is the opposite. The N-shaped growth-pollution relationship is confirmed in both groups of countries. Therefore, it cannot be expected that pollution emissions will decrease in the long term with the increase in production. Therefore, the claim that "economic growth is both the cause and the solution of environmental destruction" is doubtful. This study highlights the importance of promoting green energy in order to achieve sustainable development and combat global warming.
Azita Sheikhbahaie; saeed Daei-Karimzadeh; sara ghobadi
Abstract
The Clean Development Mechanism (CDM) is an international cooperation mechanism that provides developing countries to achieve economic growth by promoting investment in clean energy projects. This study investigates the effect of investments on renewable energy through clean development mechanism in ...
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The Clean Development Mechanism (CDM) is an international cooperation mechanism that provides developing countries to achieve economic growth by promoting investment in clean energy projects. This study investigates the effect of investments on renewable energy through clean development mechanism in a selection of developing countries using the method of differences in differences during the period 2001-2018. The purpose of this study is to compare the spread of renewable energy in countries that accepted the Clean Development Mechanism in comparison with others. The effect of implementing this mechanism in developing countries with poor financial markets compared to developing countries with advanced financial markets is also examined. The results show that the implementation of clean development mechanism in developing countries leads to the expansion of renewable energy. This mechanism can finance clean energy projects and transfer modern technologies to these countries. Also, according to the results, the effect of implementing the clean development mechanism in developing countries with poor financial markets is far more developed than advanced financial markets.
Energy
Nasim Masoudi; nazar dahmardeh; Marziye Esfandiyari
Abstract
The widespread consumption of non-renewable energy, along with the widespread increase in economic activity over the past few decades, has had broad environmental implications. These consequences include rising global temperatures, climate change, rising sea levels, and ultimately escalating international ...
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The widespread consumption of non-renewable energy, along with the widespread increase in economic activity over the past few decades, has had broad environmental implications. These consequences include rising global temperatures, climate change, rising sea levels, and ultimately escalating international disputes. In recent years, some countries have begun extensive efforts to make more use of renewable energy potentials. These efforts have been in line with the greater benefits of using these energies as well as observing international agreements to reduce global temperatures. Indeed, in recent decades sustainable economic growth has become an important goal for most of the world's economies. To this end is necessary to stabilize or reduce greenhouse gas emissions. This necessitates the transition from polluting energy-based economic activities to less environmentally-friendly, technology-based and consumer-friendly economic activities. CO2 was selected by the International Renewable Energy Agency (IRENA) in selected countries using a static, dynamic, and long-term coefficient of combined data over the period 1990–2016. The results of this study showed that technical innovations and non-renewable energies had a positive effect on CO2 emissions, but the effect of renewable energies on CO2 emissions was negative and significant. Also, the effect of economic growth on CO2 emission is Positive and significant.
Energy
ebrahim ghaed; Ali Dehghani; Mohammad Fattahy
Abstract
Abstract: The main objective of this study is to investigate the effect of Types the renewable energy production on Iran’s economic growth during the period of 2008-2017. For this analysis, Vector Autoregressive Model, Johansson-Juselius method and Vector Error Correction Model are used. In accordance ...
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Abstract: The main objective of this study is to investigate the effect of Types the renewable energy production on Iran’s economic growth during the period of 2008-2017. For this analysis, Vector Autoregressive Model, Johansson-Juselius method and Vector Error Correction Model are used. In accordance with the obtained results, the effect of the variables’ coefficients is coincident based on the theoretical foundations and statistically significant. The results indicate that in the long run, the variables of renewable energy investment by the private sector, the power generation from the renewable energy, and the consumption of renewable energies, which are considered as indicators for renewable energies, have a positive and significant effect on the economic growth. The coefficient of the error correction method indicates that about 0.62 of the short-term imbalance is adjusted in each period to achieve the long-term equilibrium. Further, in the long run, a one percentage increase in the labor force variables, renewable energy investment by the private sector, electricity generation from renewable energy, and the Production of Types renewable energies) Wind, Solar, Hydro and geothermal) leads to 0.87, 1.17, 6.44, 4.29, 2.09, 1.78 and 1.56 percentage increase in the economic growth, respectivel and it became clear that It was found that among renewable energy sources, the effect of wind energy on growth is higher than other energies and we have to prioritize investment in wind energy. Therefore, according to the results of the research, the political recommendation is that, considering the process of the types of renewable energy sources in Iran, since wind energy has the greatest effect on economic growth compared to other energy sources. By investing in this unit, the share of renewable energy use in Iran could be increased Key words: Renewable energy, Economic Growth, Vector Error Correction Model and Johansson-Juselius method JEL: O13, C13, G21, C22
Energy
Atefeh Taklif; Teymoor Mohammadi; Mohsen Bakhtiar
Volume 7, Issue 25 , November 2016, , Pages 147-161
Abstract
In this paper, optimal development of Iran’s power sector over a long-term period from 2015 to 2050 is investigated. In this paper a system-engineering optimization model (MESSAGE) has been used to explore the medium to long-term power supply options. Minimization of the total system costs for ...
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In this paper, optimal development of Iran’s power sector over a long-term period from 2015 to 2050 is investigated. In this paper a system-engineering optimization model (MESSAGE) has been used to explore the medium to long-term power supply options. Minimization of the total system costs for the whole study period is the criterion used for optimization of the MESSAGE model. The main focus of this study is analyzing penetration of renewable energy sources under different scenarios. The main scenarios are defined based on the fossil fuel prices and demand changes. Moreover, the sensitivity analysis is performed to evaluate the impact of the discount rate on the main results. The results indicate that the total installed capacity would be 160 GW in 2050 under an optimistic scenario, while BAU scenario calls for 250 GW capacity in the same year. The share of renewable energy sources and nuclear power plants would achieve to 25% and 15% under the optimistic condition. The findings reveal that development of green technologies requires a reasonable discount rate below 8%.
