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COVID affects various sectors of the economy, including energy. Measuring these effects on the energy sector can help policymakers adopt appropriate protectionist policies. In this paper, the effect of COVID shock on energy and non-energy sectors has been investigated using the DSGE model. For this purpose, two shocks of preferences and shocks of labor supply have been used. This article adds COVID to the model as well as adding energy to the New Keynesian model. The effect of COVID on the energy and non-energy sectors of the two channels of labor supply and consumer preferences has been investigated. The results of the study indicate that consumption, investment, and production in the energy sector have increased under the influence of both shocks. But consumption, investment and production in non-energy sector have declined. Prices and production costs have increased in both sectors. Also, the negative effects of the preferences shock were greater than the negative effects of the labor supply shock.

One of the main approaches in capacity building and strengthening organizational abilities to integrate activities along the supply chains is the integration, creation, and reconfiguration of internal and external capabilities of components based on the theory of dynamic capabilities. The main assumptions of this theory are based on the purposeful strengthening and promotion of organizational capacities to improve the executive capability of human resources. The objective of this study is to provide a model for promoting dynamic capabilities for international markets of Iran's oil and gas industry. The statistical population includes managers and experts in the field of oil and gas working in the affiliated organizations in Iran. Data were collected using a researcher-made questionnaire whose validity was verified by the content method and its reliability was examined and verified by test-retest method with Spearman correlation coefficient of 0.877 and internal consistency was verified using Cronbach's alpha coefficient. Based on the findings, the dynamic capabilities model was formed on 24 primary factors that were classified into 7 main components. In addition, these components were further classified into four main categories based on the competence-emergency matrix. According to the results, "Strategic conducting of capital resources" accounted for 19.78% of explanatory power and was the most important factor in promoting dynamic capabilities. The findings of the present study can be useful for decision-makers to promote competitiveness in terms of dynamic capabilities in Iran's oil and gas industry.

The pipeline project, Nord Stream 2 (NS2), has been an issue of controversies. Russia and Germany consider the project an economic contract, but the United-States and Eastern European countries have concerns about its geopolitical effects. These disputes have created a divide in Europe and have posed a threat to trans-Atlantic relations. The current research suggests NS2 can influence the strategic balance between great powers in the international system, giving energy leverage to Russia against United-States, and consequently to China by strengthening projects like the Belt and Road Initiative (BRI). Our findings put forward that not only NS2, in case of realization, is a source of American decline, but also the debates on the issue are a sign of American struggling for protecting its precarious international position. By placing Europe in front of the United-States, NS2 could be one component of European strategic autonomy (ESA); meanwhile, it may jeopardize ESA by depending on Europe on Russia. Europe’s solution to gain ESA is to use its leverages such as normative one to manage the situation for outcomes like protecting Europe’s unity and economic interests.

Companies have access to a variety of financial resources to implement available profitable investment projects, to settle overdue debts, to increase working capital, and to pay dividends to shareholders. These resources include cash from operating activities and the sale of assets (as intra-organizational sources of financing), borrowing loans from the bank, issuance of bonds, and issuance of new shares (as outside the organization sources of financing). Financing and its effects on the returns and risk of the company choose sources that minimize financing costs. Then, to prioritize the parameters, the hierarchical method, Topsis, and ANP were used. The results of this study indicated that the factors of efficiency, cost, sustainability, being operational, fairness, and transparency have been the most important criteria for choosing the financing method, as well as forming sub-consortia, receiving facilities, issuing participation bonds, establishing investment companies, presence in the securities market, creating a shareholder plan, and finally attracting foreign capital have been identified as financing methods. Also, the transparency of the financing method in the surveyed companies to identify the appropriate financing method had the least importance.

The present study tries to find out the effect of energy consumption on economic growth and emission through applying non-linear framework, the smooth transition regression model, and threshold regression TAR by using the data from1969 to 2017. The results of empirical frameworks indicate that the economic growth is gradually affected by energy consumption and STR model demonstrates the dynamics. However, the changes in energy consumption on emission has taken place faster and the parametric changes have been more severe. In both states, there is one model which consists of two regimes. In this model, the fossil fuel energy consumption growth variable is selected as transition or threshold variable which is optimal model. The fossil fuel energy consumption variable is considered as a policy variable which in both frameworks have been selected in 12 percent level. The results of TAR model revealed that in high regime of fossil fuel consumption, the first lag of fossil fuel consumption and the logarithm of population have impact on emission and in high regime of low fossil fuel consumption, the fist lag on variable growth of fossil fuel consumption and electricity have impact on emission. Also, the results of TAR model indicated that the electricity energy consumption growth in low regime, the growth in electricity consumption and first lag investment affect the economic growth. The fossil fuel consumption in high regime, the growth variables of fossil fuel consumption and investment have impact on the economic growth.

Energy Justice and Sustainable Development Goals: The Case of Common Gas Field Projects of Iran and Qatar Abstract The issue of exploiting shared resources appears a major controversy i.e. each country try to get more out of common field. Energy justice, as a new concept, seeks to apply the principles of justice in the production and exploitation, distribution and use of energy. This study tries to assess the extent to which Iran-Qatar common field is being exploited within the framework of the three tenets of energy justice. This study intends to identify energy justice in terms of having sustainable development indicators in common gas field of Iran and Qatar. We use the concept of Sustainable Development Goals (SDGs), especially from Goals that are related to the concept of energy justice to assess the realization of energy justice. The assessment of the tenets of distributional, procedural and recognition justice shows that energy justice is not pursued in joint exploitation of Iran and Qatar

Information flow is a key parameter in an economic activity and acts as the main factor in the appearance, stability and efficiency of capital markets. The purpose of this study is to investigate the effect of comparability and environmental uncertainty on the expected rate of return in oil, gas and petrochemical firms. The current study applies panel regression method estimator to investigate the relationship between comparability, environmental uncertainty, and the expected rate of return of 500 firm-year observations in oil, gas and petrochemical firms listed in Iran Securities and Stock exchanges for the period of 2009-2018. The results of the research show that the comparability and uncertainty has a significant effect on the expected rate of return. In other words, the results of the research show that the expected rate of return is a function of comparability and it varies in different levels of comparability. Key words: Comparability, Expected rate of return, Uncertainty