Iranian Energy Economics

Abstract This qualitative study investigated the impact of utilizing renewable energy sources in football stadiums. The research focused on experts in sustainable development, stadium managers, and technical engineers involved in the Iranian Football Premier League from 2019 to 2020. Data analysis was conducted using qualitative content analysis methods. Research participants were selected through purposeful and snowball sampling methods, ultimately leading to 12 interviews that reached theoretical saturation. The analysis resulted in 44 open codes, which were further categorized into three key concepts: environmental management, improving the social and cultural situation, and enhancing the economic status. These categories encompassed areas such as reducing environmental risks, managing energy resources and pollution, improving social attitudes and welfare services, urban beautification, reducing organizational costs, promoting the stadium's brand, and generating income. Given global environmental crises and the impact of sports on the environment, it is recommended that government officials, policymakers, and sports managers support the utilization of renewable energy sources like solar and wind energy in football stadiums. These actions are necessary for sustainable development and carbon-free sports.

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 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.

Abstract With the increase in electricity consumption in the country over the last few years, despite the strategic nature of the steel industry in the country, the supply of electricity for steel companies has faced serious problems; In this study, we have first examined the strategies for improving the quality and increasing the production rate of Gol Gohar Steel Company through forming a SWOT matrix. Then, considering that sustainable electricity supply is identified as the key strategy to achieve this goal, using multi-criteria decision-making methods, different power plants are ranked for electricity supply of this company. For this purpose, using two main indicators of maintenance planning, i.e. reliability and availability, the options have been evaluated, and the ranking of power plants has been done using different methods: AHP, EDAS, TOPSIS, and MAUT. Also, for the weighting of criteria, two methods of forming a pairwise comparison matrix (PCM) and Shannon's method have been used. The results indicate that among the three power plants—Kahnouj, Goharan, and Samangan—the power supply from the Samangan power plant will be the most reliable for the Golgohar company. Specifically, in three out of four decision-making methods, the Samangan power plant was identified as the best option, while it ranked second in the remaining method. Additionally, the Kahnouj power plant and the Goharan power plant were identified as the second and third-best options, respectively.

Abstract Today, almost 80% of the world's energy is produced from fossil fuels, which significantly release environmental pollution. Since economic growth in Iran is mostly achieved through fossil fuels, a study was conducted to explain the relationship between Iran's gross domestic product and total energy demand using the framework of the EKC, this study first highlights some points about pollution and energy consumption And then it deals with the sustainable development and EKC, in the experimental model part, ARDL model is estimated as the chosen method by conducting relevant tests, and then in the second part, using dynamic systems, the model is estimated period 2000-2045. The result indicates that Iran is in the first stage of the Kuznets curve and 59% of changes in energy demand are due to changes in GDP. For this purpose, the policy recommendation that can be considered in this article is education and public awareness of the dangers of using fossil fuels and investing in renewable systems, which on the one hand leads to economic growth and leads to the transition from the first stage of the EKC.

Abstract In the process of globalization, the interdependence between countries increases, and changes in economic policies introduce uncertainty shocks to both domestic and foreign economies. In oil-dependent countries, fluctuations in global oil prices significantly impact income and Gross Domestic Product (GDP). This study examines the impact of uncertainty in global economic policies and oil prices on Iraq's economic growth from 2008 to 2022. The research employs the nonlinear Autoregressive Distributed Lag (NARDL) econometric model. The results indicate that an increase in the uncertainty of global economic policies leads to a decrease in Iraq's economic growth in the short term, with this effect persisting in the long term. Conversely, a reduction in the uncertainty of global economic policies leads to an increase in Iraq's economic growth over both timeframes. Regarding oil prices, a reduction in uncertainty in the short term (at the first lag) fosters economic growth; however, at the second lag, it has a negative impact. In the long term, a decrease in oil price uncertainty contributes to an increase in economic growth. An increase in oil price uncertainty does not significantly affect economic growth in the short term; however, in the long term, it leads to a decline in Iraq's economic growth. These findings highlight the asymmetry in the effects of economic policies and oil prices on Iraq’s economic growth.

Abstract Abstract

The industrial sector, especially energy-intensive industries, is considered one of the most important polluting sectors. Given that the industrial sector itself includes several production sub-sectors and the pollution caused by them is different, first the amount of carbon dioxide emissions at the level of all two-digit ASIC codes during the years 2004-2022 has been estimated. Then, the industry that emitted the highest amount of carbon dioxide (the industry producing non-metallic mineral products) was considered as a polluting industry, and the factors affecting the carbon dioxide emissions of that industry were identified. The results of the present study, using Bootstrap regression estimation during the period under study, show that the amount of carbon dioxide emissions emitted by the non-metallic mineral industry is a positive function of the amount of energy carrier consumed, physical capital intensity, and human capital intensity, and a negative function of the intensity of human resource skills, industry capital expenditures, and research & development expenditures.