درخت حوزه‌های تخصصی

This study was conducted to determine the effect of the asymmetric oil price shock, tax revenues, resource curse, stock market, and business cycles of Iran by using the structural vector auto regression model (SVAR) for the 1984-2018 period. According to results of the estimated SVAR model, an impulse imposed by the duration of sanctions on oil exports led to an 89% increase in production gap, and impulses caused by liquidity and stock price led to 86% and 53% rises in production gap, respectively. Variation in oil and foreign exchange earnings results in different and even conflicting changes in foreign and domestic sectors of the economy, which subsequently affect the economic performance positively or negatively. Regarding economic structure and principles, a constant increased exchange rate leads to economic growth while a cross-sectional increment in exchange rate does not lead to any economic prosperity. Increased exchange rate and decreased domestic money weakness will increase foreign debt, which in turn causes liquidity shortage. Overall, the liquidity shortage of economic firms has a negative impact on the return of stock and business cycles. Hence, policymakers must pay considerable attention to macroeconomic indicators.

The purpose of this study is to level the optimal analytical topics for evaluating the cost of petrochemical stock in the capital market. In this study, which was synthetic and inductive-deductive in terms of data collection method, 12 accounting and financial management specialists at the university level participated as panel members in the quality department. In fact, in the qualitative part, which used meta-synthesis and Delphi analysis, the aim was to identify the optimal analytical themes for the valuation of cost-effective stocks and then, in a small section with the participation of 16 petrochemical brokers, to classify the identified statements in the form of a total interpretive structural modelling based on impact priority. Therefore, relying on meta-synthesis analysis, 12 studies were first evaluated as the basis for evaluation to determine the optimal analytical themes of cost-based stock valuation based on critical evaluation, based on which 11 themes were selected propositions and entered into Delphi analysis to determine theoretical adequacy. In this stage, 3 propositions were removed during the two stages of Delphi analysis and a total of 8 analytical propositions of stock valuation were economically entered into the quantitative analysis section, ie total interpretive structural analysis. In this section, the results show the most influential analytical themes of cost-effective stock valuation in the petrochemical industry, two statements of normal stock market price analysis based on the current rated price of "K2" and a focus on the net asset value is "K3", which is at the fourth level of this model.

The oil market is affected by the supply of oil by oil-producing countries. The Organization of the Petroleum Exporting Countries (OPEC) was established in the 1960s to balance oil prices in favor of oil-producing countries. OPEC has gone through a period of convergence and divergence since its inception under political-economic events and crises. In turn, this convergence and divergence have had a significant impact on oil production, supply, and prices in the oil market. OPEC members form a diverse range of population, size, reserves, output, gross domestic product, ideology, and type of relationship with world powers. This diversity, along with internal tensions, leads to different approaches on energy markets and production quotas, which has affected the interests of all producing countries. Thus, this study aims to assess the convergence relationship between OPEC members on the strength of this organization on the market. To reach this aim, we have used a qualitative method of descriptive and analytical type using library resources and documents. Findings show that any lack of convergence and understanding between OPEC members has led to increased supply in the oil market and fluctuating prices. These price fluctuations seriously damage the economies of exporting countries.

Khorasan Razavi Province suffers from the most critical groundwater resources in Iran, i.e. the groundwater decline has reached 1 m; 34 out of 37 water plains are banned in Khorasan Razavi Province. Recently, Mashhad plain has been fighting with the crisis of drought and water scarcity. Illegal harvesting from groundwater resources and the warming trend caused by change in climate have exacerbated the crisis. Comprehensive water resources management, assuming the complicated nature of water-related issues, rapid growth of population, water requirement for a variety of purposes, and limited water resources, requires novel methods to stack up technical, economic, environmental, social, and logical perspectives in an integrated forum. One of the tools for comprehensive water resources management is utilizing hydro-economic models to simulate the present status of drainage basins and evaluate the impacts of different scenarios and policies. The current study used a hydro-economic model to simulate the hydrological status of Mashhad plain and evaluate the impacts of different scenarios. Then, the agent-based model (ABM) was used in order to reach an agreement with stakeholders on executing different conservation scenarios. The hydro-economic model results revealed that reducing the water demand of the agricultural sector and, as a result, surface and groundwater consumption is possible through following adaptation scenarios. Implementing various adaptation scenarios may alter the present cultivation pattern. Moreover, the ABM results showed a significant difference between the volume of available water, due to the execution of strategies, and water demand, bringing about the lack of farmers’ cooperation regarding the implementation of conservation scenarios. However, through applying some incentive policies, a number of representative farmers may agree to pursue adaptation scenarios.

One of the variables affecting the behavior of enterprises is the exchange rate. Uncertainty about the amount of exchange rate volatillity for each firm is considered as a risk. The aim of this study is to explain a model to investigate the effect of exchange rate shocks on the financial sustainability of export-oriented companies. In this regard, the data on exchange rate, tax, oil revenue and export variables on financial sustainability was collected for 19 groups of companies from 2008 to 2019. To achieve the research goal, the Panel Vector Autoregressive Model (PANEL VAR) using the generalized method of moments (GMM) was used to analyzed the data. Then the results were interpreted using the Impulse Response Function and variance decomposition. The results of the IRF show that the effect of exchange rate volatility on the financial sustainability variable is initially negative, but has a positive effect over time and is neutralized after several periods. The same goes for an impulse equal to a standard deviation in tax. Also, the oil revenues and exports impulse have negative and positive effects on financial sustainability, respectively. According to the results of variance decomposition, it can be said that the effect of exchange rate on financial sustainability is greater than the effect of sustainability on exchange rate, because the exchange rate shocks have more explanatory power for sustainability fluctuations.