• سیاستگذاریهای اقتصادی و مالی در حوزههای فوقالذکر در سطوح ملی، منطقهای و جهانی
Abbas Memarnejad; sheyda Nematollahi Sarvestani; Teimor Mohammadi
Abstract
The implementation of the mechanism of carbon border adjustments or carbon tariffs as a tool to deal with carbon leakage and reducing the competitiveness of production, was implemented by the European Union in October 2023 under the transitional phase and it will be implemented under the definitive phase ...
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The implementation of the mechanism of carbon border adjustments or carbon tariffs as a tool to deal with carbon leakage and reducing the competitiveness of production, was implemented by the European Union in October 2023 under the transitional phase and it will be implemented under the definitive phase from January 2026. Some countries, including the United States of America and Japan, have also predicted similar policies. This is while developing and developed countries have committed to take measures to combat climate change and reduce carbon emissions based on the Paris Agreement. This shows the concern of countries applying carbon tariffs because of carbon leakage even after the creation of the Paris Agreement. Considering that the European Union has announced that it will first apply carbon tariffs to energy industries, this study uses the GTAP-E model to investigate the change in the amount of carbon dioxide emissions in Iran's industries as a result of the imposing of carbon tariffs by the European Union, the Japan, the United States of America and all regions on Iran's energy intensive industries. The statistical of the research includes 141 regions and 65 section in the GTAP10 data base that published in 2019. The estimation of the model shows that under all four scenarios, the amount of production and carbon dioxide emissions will decrease in the energy-intensive industries sector and the entire industries of Iran.
• مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
Seyyed Mohammad Ghaem Zabihi; Rasta Kamalian; Fatemeh Akbari; Ali Akbar Naji Meidani
Abstract
The current study has studied the threshold effects of energy consumption structure and GDP per capita variables on carbon emissions from 2002 to 2019 for 37 selected countries (with middle to high-income levels) using the non-linear approach of Panel Smooth Transition Regression Models. For this purpose, ...
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The current study has studied the threshold effects of energy consumption structure and GDP per capita variables on carbon emissions from 2002 to 2019 for 37 selected countries (with middle to high-income levels) using the non-linear approach of Panel Smooth Transition Regression Models. For this purpose, two separate models have been estimated by considering energy consumption structure transfer and GDP per capita variables. The results indicate a non-linear relationship between the studied variables in both models. The estimation results of both models show that GDP per capita (in the threshold state of energy consumption structure) and energy consumption structure (in the threshold state of GDP per capita) positively affect carbon emissions. Also, urbanization and trade openness have a positive effect on carbon emissions in both models. Thus, the results show that increasing efficiency in energy consumption and GDP per capita structure can significantly reduce carbon emissions. These findings point to the importance of optimizing energy policies and the crucial role of changes in the economic structure in managing greenhouse gas emissions.
Alireza Taghipour
Abstract
With the change in policy by the Iranian Ministry of Petroleum in 2017 to outsource the operation and maintenance of oil and gas units to the private sector, the O&M outsourcing contract framework has drawn more attention than ever.This study first explores the current state of O&M contracts, ...
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With the change in policy by the Iranian Ministry of Petroleum in 2017 to outsource the operation and maintenance of oil and gas units to the private sector, the O&M outsourcing contract framework has drawn more attention than ever.This study first explores the current state of O&M contracts, in conjunction with the laws and regulations, and wraps up that the Ministry of Petroleum has an inherent duty to comprehensively outsourcing these operations to the private sector. The next step points out that the vast majority of Operation contracts, which are always claimed as O&M contracts, are basically manpower contracts.The next step is to categorise these contracts into two categories: independent and integrated. This study divided independent categories into seven categories: manpower, inspection, packaging, KPI packaging, hybrid, and full coverage. In opposed to the current method of making independent O&M contracts in the oil and gas industry, the results showed that optimal O&M outsourcing takes place through integrated contracts in which the operation is a partial part of that contract.Furthermore, a review of the framework of integrated upstream contracts, particularly the Iranian Upstream Petroleum Contract (IPC), and some types of integrated downstream contracts, such as the EPC+O&M and the FIDIC DBO model, conclusively demonstrates that "Build Operation and Transfer" and "Rehabilitate, Operate, Transfer" contracts are one of the most effective methods of outsourcing these operations.
سیاستگذاریهای اقتصادی و مالی در حوزههای فوقالذکر در سطوح ملی، منطقهای و جهانی
Majid Aghaei
Abstract
One influential factor in this relationship is the abundance of natural resources and its level of dependency. The impact of natural resource abundance on the relationship between financial development and renewable energy technology deployment can vary based on the financial system's development level ...
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One influential factor in this relationship is the abundance of natural resources and its level of dependency. The impact of natural resource abundance on the relationship between financial development and renewable energy technology deployment can vary based on the financial system's development level in different countries. Given the importance of this topic, this study seeks to investigate the influence of financial development on the development of renewable energy technologies in two distinct groups of rich in natural resources countries, characterized by differing levels of financial system development (20 developed resource-rich countries with developed and less developed financial systems, and 25 developing resource-rich countries with developed and less developed financial systems). The examination and empirical testing of this relationship, along with its contributing factors, have been conducted using the Two-Stage Generalized Method of Moments (GMM) Estimators by Arellano and Bond, and Blundell and Bond, over the period from 2000 to 2021. Based on the results, financial development has demonstrated a positive impact on the deployment of renewable energy technologies across all studied countries, underscoring the undeniable role of financial development in renewable energy development. Furthermore, according to the research findings, the abundance of natural resources in resource-rich developed countries has not only led to a reduction in the capacity of renewable energy technologies installation but also has facilitated the deployment of renewable energy technologies, especially in resource-rich developed countries with advanced financial markets.
• مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
Fariborz PARTOVIRAD; Teimor Mohammadi; abbas shkeri; morteza khorsandi
Abstract
Forecasting electricity demand is one of the most important issues of the electrical energy system. Considering the structural changes in electricity demand and the stylized facts of electricity consumption in different sectors of demand, forecasting the amount of electricity demand will clarify the ...
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Forecasting electricity demand is one of the most important issues of the electrical energy system. Considering the structural changes in electricity demand and the stylized facts of electricity consumption in different sectors of demand, forecasting the amount of electricity demand will clarify the prospects of changes in the Iran's electric energy system in the medium and long term. By using new approaches, this prediction will have higher reliability. In this research, using the state-space approach and combining it with Markov regime switching, the main sources of uncertainties were included in the model. By using the data of electric energy feed-in the system to supply electricity demand and the average real price of electricity and temperature and the number of customers in the ten-year period of 2013-2022, the parameters of the model were estimated based on the state-space approach and Markov regime switching. State-space approach in the form of time-varying parameters and Markov switching approach in the form of variance fluctuations were included in the model. The results showed that the model based on this integrated approach gives a more accurate prediction than the classical model of electricity demand. The standard error of the estimated equations is reduced to 0.1 (in the competing model, the standard error of the corresponding equation is 0.03, and in the integrated approach, it is 0.002 for peak and 0.004 off-peak periods). The sensitivity of electricity demand to the real price of electricity and temperature changes is decreasing and the demand for marginal costumer is increasing.
سیاستگذاریهای اقتصادی و مالی در حوزههای فوقالذکر در سطوح ملی، منطقهای و جهانی
musa khoshkalam khosroshahi; zahra moradi
Abstract
Energy is always a widely used input in the production sector and used in the distribution and consumption of many goods and services, which should be used optimally. One of the indicators showing the optimal use of energy input is the energy intensity index. Obviously, the lower the energy intensity, ...
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Energy is always a widely used input in the production sector and used in the distribution and consumption of many goods and services, which should be used optimally. One of the indicators showing the optimal use of energy input is the energy intensity index. Obviously, the lower the energy intensity, it means that less energy has been used for each unit of production of goods and services. Several factors can be mentioned that affect energy intensity, of which innovation is one of the key ones. Therefore, the purpose of this article is to investigate the influence of several factors on energy intensity in selected countries of the MENA region during the period of 2010-2020, with an emphasis on innovation and its two sub-indices (Information and communication technology and Access to finance). To achieve the goal of the research, the panel data model (panel data) for 13 selected MENA countries and the GMM estimation method have been used. The results show that the influence of control variables including "government final consumption expenditure", "energy price" and "trade openness" on energy intensity is negative and significant. The estimation findings of the first model indicate a negative and significant effect of the overall innovation index on energy intensity, and the estimation results of the second and third models also indicate a negative and significant effect of the innovation sub-indices (information and communication technology and financial access) on the energy intensity of the selected countries in the period. is under investigation.
• مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
reza bakhshi
Abstract
The need for development is increasing and the demand for energy is rising. The construction of new power plants has become necessary to meet this growing demand. To protect the environment and conserve finite fossil fuels, renewable energy sources are crucial to the transition to green energy production. ...
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The need for development is increasing and the demand for energy is rising. The construction of new power plants has become necessary to meet this growing demand. To protect the environment and conserve finite fossil fuels, renewable energy sources are crucial to the transition to green energy production. Examining the impact of energy production on the environment is crucial, and not just in terms of financial, economic and geographical factors. The aim of this study is to understand the contribution of renewable and non-renewable power plants to the total emissions generated over a one-year operating period. The RETscreen analysis software was used to estimate the emission coefficient and a cost-benefit analysis method was used to evaluate the environmental impact. The value of each ton of carbon dioxide and the discount rate for environmental effects are key factors in estimating the emission coefficient of the different energy systems. Renewable energy systems have an emission coefficient of zero, while gas turbine systems, two-way gas engines, two-way biogas engines and coal-fired steam turbines have emission coefficients of 700, 747, 45 and 1,509 billion rials, respectively.
