Hassan Daliri,
Volume 11, Issue 39 (3-2020)
Abstract
This study examines the Kuznets environmental curve among D8 countries in the period 1961–2016. The Kuznets environmental curve shows the reversed U-shaped relationship between economic growth and environmental degradation. In this paper, two methods of time series estimation and smooth panel transition estimation were used to test the hypothesis of this relationship. Also, the ecological footprint index was used as an indicator of environmental degradation. The time series estimation results show that there is a nonlinear relationship in all D8 countries but the classical Kuznets hypothesis was confirmed only in Malaysia, Egypt and Turkey and in other countries the relationship was not inverted U. In Iran, the relationship between GDP per capita and the per capita ecological footprint is N-shaped, and at the GDP levels of $5864 and $10514, the relationship between the two variables will change. On the other hand, testing of the Kuznets hypothesis by using panel smooth transition models showed that there was a nonlinear relationship between GDP and ecological footprint in D8 countries with a threshold. There was a direct relationship between ecological footprint and GDP per capita when economic growth below 8.3 percent and reverse relationship when economic growth above 8.3 percent
Seyed Reza Mirnezami, Sajad Rajabi, Fazel Moridi Farimani,
Volume 11, Issue 41 (10-2020)
Abstract
Reducing or eliminating subsidies for the electricity sector in the economy is a good way to control the daily consumption of electricity and balance the cost of supply and demand players. By increasing or decreasing electricity subsidies, indirect taxes are reduced or increased. Under these conditions, assuming the stability of primary inputs and the stability of power generation technology and based on input-output modeling, the effects of rising electricity prices on the prices of manufactured goods in the 75 economic sectors were measured. The results of this simulation, which was performed under three models of electricity price increase of 7%, 16%, and 23%, show that the "communications", "manufacturing of food products" and "manufacturing of non-classified non-metallic mineral products" sectors are the highest. Taking into account the total benefits of increasing the price and its socio-economic costs for residential subscribers, the scenario of "increasing the tariff price of residential subscribers by 7%", "increasing the tariff price of public consumption by 16%", "increasing the tariff price of Water and Agriculture Production subscribers by 16%", "Increasing the tariff price of Industrial and Mining Production Subscribers by 23%" and finally "Increasing the tariff price of Other Uses Subscribers by 23%" can be a proposed tariff in increasing the price of electricity.
Davood Manzoor, Sajad Rajabi, Reza Ranjbaran,
Volume 12, Issue 43 (3-2021)
Abstract
With the outbreak of the coronavirus in countries around the world and its rapid spread, governments have decided to impose restrictions and social distancing. Restrictions and closures of businesses and economic activities, and changes in supply and demand patterns during this period, have exacerbated concerns among economists. This article deals with the issue of changing primary energy consumption in 18 countries in the MENA region. To this end, 10 different scenarios of the future state of the disease and its limitations have been considered. The results show that according to the best scenario (rapid and complete improvement of the epidemic), Libya with 4.38% and Iraq with 3.39% will have the largest decrease, and according to the worst-case scenario (explosive disease exacerbation and complete quarantine), Libya with 12.6% and Syria with 12.3% will have the greatest reduction in primary energy consumption. The three countries, Syria, Lebanon, and Iran, also had the most differences in the pessimistic and optimistic scenario. Also, taking into account the total changes in the primary energy consumption of these 18 countries, according to the most optimistic scenario, the primary energy consumption will be reduced by 1.5% and according to the worst-case scenario, it will be reduced by 8.8%.
Abolghasem Golkhandan, Sahebe Mohammadian Mansour,
Volume 12, Issue 46 (12-2021)
Abstract
Based on theoretical foundations and empirical studies in the field of the relationship between natural resources and internal conflict, 4 states can be imagined: a. Positive relationship between natural resources abundance and internal conflict (hypothesis of political resources curse) b. positive relationship between natural resources scarcity and internal conflict (hypothesis of political resources endowment) c. Non-linear relationship between natural resources and internal conflict (combination of state A and B) d. Absence of relationship. Based on this, the main purpose of this article is to investigate the relationship between natural resources types and internal conflict risk in the MENAP region countries during the period of 2000-2019 using the System Generalized Method of Moments (SGMM). For this purpose, the index of the percentage share of total natural resource rent from GDP and eight separate indicators including: the percentage share of oil, natural gas, coal, forest and mining rent from GDP, the percentage share of fuel export and the export of ore and metals from the export of goods and the percentage share of arable land in the total area have been used. The results show that there is a U-shaped relationship between the total rent of natural resources and the internal conflict risk; In other words, countries with a shortage of natural resources as well as countries with an abundance of natural resources have a higher internal conflict risk than other countries. This U-shaped relationship is also confirmed for oil rent and fuel export. Also, coal and forest rent have a meaningless effect and arable land has an inverted U effect on the internal conflict risk in the studied countries. The evaluation of the marginal effect of the total rent of natural resources on the internal conflict risk shows that its value varies from -0.08 to 0.1. According to the other results, per capita income and democracy have a negative and significant effect, and population and religious and racial tensions have a positive and significant effect on the internal conflict risk.
Navid Salek, Morteza Khorsandi,
Volume 13, Issue 47 (5-2022)
Abstract
The price of crude oil is one of the factors affecting economic indicators. Therefore, the prediction of oil prices and the accuracy of the applied methods have always been discussed by economists. In this study, the effect of all effective variables on the supply and demand of crude oil based on McAvoy's competitive theory is investigated, and the supply and demand are estimated using the system of simultaneous equations and conventional statistical methods. Then, using algebraic operations and the assumption of equality of oil supply and demand in the long term, the long-term potential of oil supply and demand is extracted with respect to each of the variables in the model. Based on the results, the world's gross domestic product (GDP) has the greatest impact on oil prices with a demand potential of 0.6039, and the world's military and security tensions have the least impact with a demand potential of –0.0110. After estimating the model, the prediction accuracy of three combined mothod is compared with conventional and single-variable methods of neural network and ARIMA. These three combined methods are: (a) neural network and system of simultaneous equations, (b) ARIMA and system of simultaneous equations, (c) neural network and ARIMA and system of simultaneous equations. The results showed that the combined method of ARIMA and simultaneous equation system provides better reslts for 5-year forecasts while the combined method of neural network and ARIMA and simultaneous equation system shows better results for 10-year forecasts.
Edris Karimi, Zahra Faturechi,
Volume 13, Issue 48 (9-2022)
Abstract
Today, benefits from energy sources, especially non-renewable sources, can have various effects on economic indicators, and for this reason, it has risks for the economy and society. One of these important economic indicators is income inequality, which over time leads to many problems for societies. In this research, the effect of dependence on non-renewable natural resources on the income inequality of developed countries has been investigated. This dependence has been re-examined by separating non-renewable resources into fossil and non-fossil resources. The data of the study was collected from 25 developed countries during the years 1990 to 2019, and after making sure that no false regressions occurred during the estimation, an econometric study was conducted between the variables. According to the short-term and long-term estimation results obtained from the consolidated group average approach, it was determined that although in the short-term dependence on natural resources has no effect on income distribution, in the long-term two variables dependence on total non-renewable natural resources and dependence on fossil non-renewable natural resources have a negative effect and Significant as well as the variable of dependence on non-renewable non-fossil natural resources had a negative and insignificant effect on inequality. It was also determined that the control variables used such as: education, globalization and institutional quality can reduce income inequality in developed countries.
Mr Hossein Hafezi, Mr Siab Mamipour,
Volume 13, Issue 49 (12-2022)
Abstract
Climate change has emerged as a significant global challenge, with its impact increasing rapidly in recent decades. The consumption of fossil fuels, which leads to the emission of greenhouse gases like CO2, is a major contributor to climate change. Iran, ranked as the sixth most polluted country in the world, emitted a staggering 745 million tons of CO2 in 2020. Notably, the power plants sector in Iran accounts for roughly 30% of its total carbon emissions. As a result, the main objective of this paper is to engage in long-term planning for electricity supply and demand in Iran, aiming to reduce carbon emissions in line with the country's obligations under the Paris Agreement. To achieve this goal, we utilized the MESSAGE model to design an electricity generation system that takes into account the potential of renewable sources from 2021 to 2050. Additionally, the ARDL model was employed to estimate electricity demand under various scenarios, including subsidy reforms. These predictions were then incorporated into the long-term planning process for Iran's electricity supply system. The findings of the ARDL model highlight that the subsidy reform strategy leads to a 10% decrease in electricity demand throughout the planning period, indicating effective control over the demand side. On the other hand, the MESSAGE model's findings reveal that Iran's ability to fulfill its responsibilities under the Paris Agreement heavily relies on the utilization of renewable potentials across different regions in power supply planning. While carbon dioxide emissions in Iran's electrical sector are not expected to be reduced in the near future (2020 to 2030). However, in the long term (2040 to 2050), significant reductions in CO2 emissions can be achieved. According to the findings, if the electricity system in Iran is designed in accordance with a chosen scenario that incorporates green technologies and subsidy reforms, the share of renewable technologies can increase from 6% in 2020 to 15%, 50%, and 78% in 2030, 2040, and 2050, respectively. Consequently, carbon emissions in the power generation sector can be reduced by 20% and 54% in 2040 and 2050, respectively, compared to 2020 levels.
Maryam Hajipour Apourvari, Mehdi Nejati, Mojtaba Bahmani, Sayyed Abdolmajid Jalaee,
Volume 14, Issue 51 (5-2023)
Abstract
The increase in greenhouse gas emissions is one of the crises in today's world. Because it doubles global warming and environmental pollution. The increase in greenhouse gas emissions has encouraged many countries to substitute renewable energy instead of fossil fuel. The effective use of green energy such as renewable energy and nuclear energy is highly dependent on the technology used in the production of this type of energy. For this reason, the aim of this study is to investigate the impact of importing information and communication technology goods on renewable energy production in Iran. In this research, has been used the Computable general equilibrium model based on the social accounting matrix of 2014. The results show that in all scenarios, the production of fossil electricity in both peak and base times, as well as the production of ICT goods, will decrease because with the release of the import of these goods, foreign ICT goods will replace domestic ones and the production of these goods will be domestic. Also, the production of other sectors has increased and the largest increase is related to the gas sector. By applying the first scenario (10 to 100% change in tariff, without change in the productivity of production factors related to the production of renewable energies), with the further reduction of the tariff, the production of renewable electricity will also decrease in both peak and base times, but when The fact that the import of ICT goods is accompanied by a 3, 5 and 7 percent increase in the productivity of the production factors related to the production of renewable energies (scenarios two to four) will increase the production of renewable electricity in the base load. The production of renewable electricity at peak load has decreased in all scenarios and the results do not change with the increase in efficiency. By reducing the tariff on the import of ICT goods, the amount of CO2 emissions will decrease. Also, as the productivity of the production factors related to the sector of renewable energy production increases, CO2 decreases to a greater extent. It should be noted that with the reduction of the tariff on the import of ICT goods, the price of the goods has decreased in the investigated sectors. As a result, reduce the pollution caused by the consumption of fossil fuels and use them optimally.
Hayedeh Nourozi, Rouhollah Shahnazi, Ebrahim Hadian, Zakaria Farajzadeh,
Volume 14, Issue 53 (11-2024)
Abstract
Economy and environment are two interdependent systems; In recent decades, the global environment, as the most important global public good, has been heavily influenced by the negative external effects of economic growth, including climate change. In order to internalize these external effects, the use of tracking tax is a recommended method. One of the most important models designed for the integrated study of economy and climate is the Nordhaus RICE model; Of course, with the limitation that in this economic growth model, it is included exogenously. In this study, the aim of endogenizing the economic growth of the RICE model and determining the tax rate in 6 scenarios including 1) the base scenario 2) the optimal emission control rate application scenario 3) the 2°C temperature limit scenario 4) the discounted Stern scenario 5) the calibrated Stern scenario and 6) Copenhagen scenario. The results show that in the endogenous growth model, the ratio of taxes to net domestic production and CO2 emissions should increase over time. In all scenarios of Iran's endogenous growth model (except the base scenario), tax increases between 2022 and 2122 will reduce industrial CO2 emissions and reduce atmospheric carbon concentration. Finally, by applying the specified optimal tax in all scenarios, temperature changes have increased by less than two degrees Celsius.
