List of Articles Q32

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  1 - Factors Causing Oil Price Shocks With Emphasis on the Behavior of Large Producers
  Jalal Dehnavi Mir Hossein Mousavi
  10.30495/eco.2022.1951429.2621
  The aim of the article is to present a new approach to the analysis of oil price shocks and, of course, a better explanation of oil wars. To achieve the goal, the structural vector autoregression model based on the Kilian (2009) model has been used with the aim of model More

  The aim of the article is to present a new approach to the analysis of oil price shocks and, of course, a better explanation of oil wars. To achieve the goal, the structural vector autoregression model based on the Kilian (2009) model has been used with the aim of modeling oil market shocks during the period of 1985-2019. The results showed that the recent price war, due to the significant growth of the US oil supply (supply shock) and its simultaneous with the spread of the corona virus (demand shock), has caused a sharp decrease in the price of oil and shortened the price war period.  Manuscript profile
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  2 - The Effects of Mining Sector and Mining Industries Development on Government Revenue and Income of Households in Iran
  davoud behboudi mohammad mehdi barghi oskoee Robab Mohammadi khaneghahi
  Abstract The aim of this study is to investigate the effects of an increase in the investment and productivity of the mining sector on government revenue and income of households in Iran. For this respect, a dynamic computable general equilibrium (DCGE) model and socia More

  Abstract The aim of this study is to investigate the effects of an increase in the investment and productivity of the mining sector on government revenue and income of households in Iran. For this respect, a dynamic computable general equilibrium (DCGE) model and social accounting matrix (SAM) for Iran for year 1390 is used. The results showed that increasing in mining sector investment and improving its total factor productivity positively affected government revenue and income of households in both urban and rural groups. The results also reveal that the development in the mining sector in Iran has the least effect on the income of rural households and the most effect on income of urban households. Based on the results, it is necessary for policymakers to adopt policies to increase investment and improve the total factor productivity of the mining sector. Manuscript profile
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  3 - Providing and analysis of green financing model of companies through the banking industry in establishing a sustainable environment
  عباسعلی شیخ پرویز سعیدی ابراهیم عباسی آرش نادریان
  10.30495/fed.2022.691508
  Abstract Environmental protection and sustainable environmental development are important concerns of human societies and the main unquestionable. Banks, considering the environmental risks in financing companies, play an essential role in protecting the environment an More

  Abstract Environmental protection and sustainable environmental development are important concerns of human societies and the main unquestionable. Banks, considering the environmental risks in financing companies, play an essential role in protecting the environment and moving towards a green economy. As one of the dimensions of green banking, green financing is an innovative financial instrument that tries to improve the environmental balance with the industries' development and economic growth. The present research aimed to design and analyze the financing model of companies through the Iranian banking industry in establishing a sustainable environment, which has a three-step approach. First, by interviewing 16 experts and encode, 77 components in the form of 21 categories were identified based on Grounded data theory, and the model related to design and hypotheses were identified. And next, the structural equation modeling method was used to evaluate the model-fitting and hypotheses test, which showed the significant results of the measuring and structural models, the optimal model fitting, and hypotheses confirmation. Then, by using the interpretive structural modeling method, the components of green financing were prioritized, in this stage, 20 components with the highest frequency of code were entered, and finally, the priority of the components was recognized in 6 levels. Manuscript profile