Vahid Majed, Hossein Mirshojaeian Hosseini , Samira Riazi ِdoust,
Volume 10, Issue 35 (3-2019)
Abstract
Homogeneity of groups in studies those use cross section and multi-level data is important. Most studies in economics especially panel data analysis need some kinds of homogeneity to ensure validity of results. This paper represents the methods known as clustering and homogenization of groups in cross section studies based on enviro-economics components. For this, a sample of 92 countries which produce the most greenhouse gases including CO2, clustered based on 18 criteria. Those criteria reduced to five primary components using factor analysis. Clustering of countries done by HCPC (Hierarchical Clustering on Principal Component) method. All 92 countries were clustered in 7 different groups. For each group properties of countries indicates the homogeneity of each cluster. In cross section analysis with many sections, especially analysis based on panel data, clustering, increases assurance of expected homogeneity and validity of result.
Shahryar Zaroki,
Volume 10, Issue 36 (6-2019)
Abstract
Given the importance of the issue and the undeniable role of the environment in the community's life, in this research, it is attempted to test the hypothesis of the relationship between the government size and composition of government expenditure (Current and developmental) on carbon dioxide emissions in Iran during 1971-2016 based on autoregressive distributed lag approach. To better explain, the above hypothesis is based on two parts of production (production industries) and Consumable (household, commercial, general; and transportation) has been investigated. Long-run results show that despite the fact that government size does not affect carbon dioxide emissions; the current cost ratio and developmental spending ratio of government respectively have a direct (undesirable) and reverse (favorable) effect on carbon dioxide emissions. In addition, the developmental spending ratio of government in both production and consumable sectors has a reverse effect on the carbon dioxide emissions of these sectors. However, the current cost ratio of government in both sectors does not have a significant effect. Energy intensity has a direct effect on carbon dioxide emissions in general format, and although the energy intensity of the production sector has no significant effect on the carbon dioxide emission ratio in this section but in the consumable sector, energy intensity is associated with direct (undesirable) effects on carbon dioxide emissions.
Ali Takroosta, Parisa Mohajeri, Taymour Mohammadi, Abbas Shakeri , Abdoulrasoul Ghasemi ,
Volume 10, Issue 37 (10-2019)
Abstract
Oil price wild fluctuations impact the economies of developing countries as well as those of developed ones. Focusing on OPEC’s political risks as a proxy of precautionary demand, this study aims to disentangle oil price factors using an SVAR approach for 1994Q1 to 2016Q4. We disentangled oil price shocks into political risks, supplies, global demand for industrial goods and other oil price shocks. Our results highlight that shocks originated from different sources affect oil prices differently in terms of both their lifetime and directions. Besides, it is revealed that the structure of oil market has changed due to the 2008 financial crisis, increased oil price fluctuations, changes in OPEC’s behaviour and accordingly its market power, and the advent of new shale oil technologies, thus affecting oil price sensitivities. Therefore, we found out that OPEC’s political risks affected oil markets way more significantly in 2008-2016.
Alireza Kazerouni, Hosein Asgharpour, Ali Aghamohamadi, Elham Zokaei Alamdari,
Volume 10, Issue 37 (10-2019)
Abstract
This study examines the relationship between per capita income and per capita dioxide emissions in the form of a new definition of the Environmental Kuznets Curve, to investigate how corruption influences the income level at the turning point of the relationship between per capita dioxide emissions and income, in developed and developing countries the period 1994-2013 through the use of a panel data model. Our results support the Environmental Kuznets Curve hypothesis for developed countries and existence of an U-shaped relation for developing countries. We find evidence that the higher the country's degree of corruption, the higher the per capita income at the turning point for developed countries and the lower the per capita income at the turning point for developing countries than when corruption is not accounted for. Also, the share of renewable energy in both groups of countries has a negative and significant effect on per capita dioxide emissions, but the positive effect of urbanization rate in developed countries is significant and in developing countries is not.
Mohammad Sayadi, Nasim Karimi,
Volume 10, Issue 38 (12-2019)
Abstract
The main objective of this study is modeling the dependency structure between the returns of oil markets, exchange rate and stocks of chemical products in Iran. For this purpose, the theory of Vine Copula functions is used to investigate the dependency structure. In addition to consider a linear relationship between financial markets in Iran, the nonlinear dependency structure of these markets is also estimated, and their dependence on their upper or lower tails is determined. The study period includes daily data (5 working days) from December 2008 to July 2017. Modeling of marginal distributions of GJR-GARCH models has been used. Then, using the Copula-GARCH approach, the structure of dependency between returns and the calculating of the Value at Risk (VaR) of crude oil, exchange rate and stock of the chemical product group returns have been investigated. Finally, the required back-test is performed on the basis of the loss function. The study findings show that both pairs of modeling returns are related to the same upper and lower tails. In addition, there is a same structural dependency on the distribution of the vine copula between the indexes of chemical products and the nominal exchange rate on the condition of the price of crude oil, which indicates the spillover between markets. Due to that spillover effect is the main source of financial risk, the structural dependence on the basis of vine copula functions makes accurate and reliable calculation of portfolio risk based on the VaR criterion.
Ali Kiani, Karim Eslamloueyan, Phd Roohollah Shahnazi, Parviz Rostamzadeh,
Volume 10, Issue 38 (12-2019)
Abstract
In recent years, some research has focused on the importance of the origin of an oil shock for macroeconomic dynamics in both oil-exporting and importing countries. The existing literature lacks a proper open Stochastic Dynamic General Equilibrium (DSGE) framework to investigate the effect of the origins of oil shocks on macro variables in a two-country model consisting of an oil-exporting county and an oil-importing country. To this end, we develop and solve a new Keynesian DSGE model to show how the different oil shocks originating from oil supply or oil demand, might have diverse impacts on key macroeconomic variables in oil-exporting and importing counties. For the case study, we use data from Iran as an example of an oil-exporting country that trades with the rest of the world. Our DSGE model is estimated by using the Bayesian method for the period 1986:1-2017:4. The result shows that an oil shock originated from the shortage of oil supply (an exogenous decrease in Iran's oil production) decreases total production, non-oil trade, employment, inflation and consumption in this oil-exporting country. While a negative oil supply shock increases production costs and reduces production and consumption in Iran. However, an oil shock originated from an increase in the demand for oil raises output, non-oil trade, employment, consumption, and inflation in Iran as an oil-exporting country while a demand-side oil shock boosts production and increases inflation in this country.
Seyed Parviz Jalili Kamju, Ramin Khochiani,
Volume 11, Issue 39 (3-2020)
Abstract
Solving the Water conflict and optimal allocation of common water resources are the most important service of cooperative game theory to water economics. Zayandehrud basin is the most important disputed basin in several neighboring provinces in the first class basin of Iran's central plateau. The purpose of this research is to use the game theory with application of Bankruptcy approach (conflicting claims) in order to optimally allocate surface and underground water resources in the Zayandehrud basin, with regard to Zayandehrud need(tourism sector demand), water transfer to Yazd and Kashan, Gavkhoni wetland water use and demand of three sectors: drinking, mining, and agriculture. In order to estimate the river natural water right (tourism sector demand), the Montana method (tenant) was used under three different scenarios: weak, acceptable and optimal tenant during the period 1963-2017, which was 77.7, 130.5, and 466.5 m3 respectively yearly estimated. The conflicting claims theory in various scenarios for the river water right (tourism sector) showed that in all three proposed scenarios based on five different bankruptcy theory rules, Proportional, Constrained Equal Wards, Constrained Equal Losses, Talmud, Random Arrival, CEA rule was the most desirable method for 5 sectors (except agriculture). In order to choose a more equitable method, the Gini coefficient and the Lorenz curve were used which indicated that CEA rule has less inequality than other rules. Thus, regard to the increasing demand gap in the Zayandehrud Basin, water allocation based on the criteria of bankruptcy theory is proposed.
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 (12-2023)
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.
Dr. Mahboubeh Jafari, Ms Fatemeh Rashidi, Dr. دهقان شبانی Dehghan Shabani,
Volume 14, Issue 54 (2-2024)
Abstract
Promoting electricity generation from renewable energy sources has emerged as a cornerstone of sustainable development strategies worldwide to mitigate greenhouse gas emissions and address the pressing challenges of climate change. This study aims to investigate the nonlinear relationship between the Productive Capacity Index (PCI) and renewable electricity generation across a sample of selected developing countries during the period 2000–2022. To this end, the dynamic panel threshold model proposed by Kremer et al. (2013) is utilized, as it enables the analysis of nonlinear interactions among variables in panel data while addressing potential endogeneity. Our findings reveal a non-linear relationship between PCI and renewable electricity generation. Importantly, the influence of PCI on the share of electricity generated from renewable sources intensifies beyond a specific threshold value. This implies that as PCI levels increase, their impact on clean energy production becomes more significant, emphasizing the importance of advancing productive capacities to accelerate the transition to renewable energy. Furthermore, the results underscore the critical role of several key factors in enhancing renewable electricity generation. Rising geopolitical risks, improved financial development, greater trade openness, and an increased share of gross fixed capital formation in GDP are identified as pivotal drivers that positively contribute to the expansion of renewable electricity generation. Conversely, weak environmental policies can significantly hinder this progress. Furthermore, the Dumitrescu and Hurlin (2012) panel causality test confirms the existence of a bidirectional causal relationship between the share of renewable electricity generation and the other explanatory variables. This study highlights the critical need to build and strengthen productive capacity to support the growth of renewable energy. The findings provide a valuable foundation for informed decision-making by policymakers and planners in developing nations.
Mr Reza Etesami, Mr Mostafa Lashkari, Dr Mohsen Madadi, Dr Reza Ashrafganjoei, Dr Mashallah Mashinchi,
Volume 14, Issue 54 (2-2024)
Abstract
Although many factors in economic growth and development are scientific, but the global impact and energy consumption have a prominent role in the economy according to the evidence. In the meantime, we should not ignore the consequences of environmental destruction. In the present study, the effect of uncertainty of globalization and energy consumption on CO2 gas emission has been investigated with the help of fuzzy regression model with symmetric and asymmetric coefficient for the time period of 1369-1400. According to the average scale of the phased vessel model, the three boundaries and the bottom are calculated for each of the investigated changes under different uncertainty conditions using the particle swarm algorithm. Examining the effect of the limits related to the uncertainty of globalization and energy consumption on the amount of CO2 gas emissions indicates that as the degree of membership approaches 0.1 to the degree of membership 0.9, first, the amount of CO2 gas emissions up to be Membership increased by 0.4 and then decreased in a downward trend of CO2 emissions. This impressive trend is also true for the middle and lower limits. From this, it can be stated that the effect of the uncertainty of energy consumption on the amount of CO2 emissions is similar to an inverted U. It is noteworthy that the trend of energy consumption compared to globalization increases the amount of CO2 emissions, so it can be said that the amount of CO2 emissions is not the result of the refugee hypothesis.
Dr Mohammad Hosein Karim, Dr Mohammad Sayadi, Mr Saeed Solgi, Mr Mohammadreza Ariafar,
Volume 14, Issue 54 (2-2024)
Abstract
The main purpose of this study is to investigate the effect of factors affecting the ecological footprint with an emphasis on the role of energy consumption intensity in Iran using the Vector Autoregression Model with Variable Parameters Over Time (TVP-VAR). The ecological footprint reflects the environmental constraints of communities and the extent to which the environment is destroyed by exceeding these limitations. Due to the increasing intensity of energy consumption, Iran is faced with a significant ecological footprint in its economic activities, which requires the root causes of the factors affecting it. Other research variables include the degree of urbanization, human development, financial development, trade openness, and GDP per capita in the period from 1990 to 2021. The results show that increasing the intensity of energy consumption causes a positive and significant increase over time on the ecological footprint. The effect of other research variables on the ecological footprint was also in accordance with theoretical expectations. These findings emphasize that the type and source of energy consumed, as well as the production processes, play an important role in this relationship. Also, the analyses show that environmental sustainability decreases with increasing energy consumption and the ecological footprint of
Ebrahim Ghaed, Mohammad Taher Ahmadi Shadmehri, Mahdi Khodaparast Mashhadi, Narges Salehnia,
Volume 15, Issue 56 (8-2024)
Abstract
The main purpose of this study is to predicting the effects of fiscal policies on greenhouse emissions in Iran from 1991 to 2021. To achieve this, bayesian model averaging (BMA) and Bayesian vector autoregression (BVAR) approaches were employed. The results indicate that out of 14 fiscal policy variables, the top five models with the highest posterior probabilities were identified using the aforementioned methods. The most effective models included variables such as financial asset acquisitions, oil revenues, corporate taxes, wealth taxes, current expenditures, and other revenues. Subsequently, the impact of these variables on CO2 emissions was analyzed over 10 periods using the BVAR method. The impulse response function results revealed that shocks to the financial asset acquisitions, oil revenues, wealth taxes, current expenditures, and other revenues had positive effects on CO2 emissions, with the most significant impact stemming from shocks to financial asset acquisitions. Conversely, only shocks to the corporate taxes demonstrated a negative effect. Additionally, the variance decomposition of CO2 emission forecast errors indicated that the oil revenues and wealth taxes played the most significant roles in explaining forecast errors, with their contributions increasing during intermediate periods.
