درخت حوزه‌های تخصصی

The purpose of this research is selecting the Most Effective Strategic Capability for Sustainable Development under Risk and Uncertainty in the Oil Industry by Rough Set Theory. The research methodology is qualitative and quantitative. The target population in the qualitative section included 14 industrial management specialists at the university level and in the quantitative section 32 senior managers in companies active in the Oil Industry. In this research, were used Meta-synthesis and Delphi analysis methods were used to identify the components and propositions of the research and in a small part, the analytical approaches of Ruff collection. The results showed that among the 15 final statements of risk and uncertainty in the Oil Industry, the risk of change in domestic law relative to political / economic diplomacy in the development of infrastructure for the Oil Industry X5 as the most important risk statement and uncertainty in the field. Political and legal risks that have been identified as a measure of the strategic viability of sustainable development. Finally, it was found that, despite the most probable risks selected in this study, namely the risk of changes in domestic law to political / economic diplomacy in the development of infrastructure of the Oil Industry "X5" Existence of sanctions of the world powers "X1" Strategic capabilities of sustainable economic development is the most important feature that should be considered in the country's inflationary conditions.

Understanding of the interplay between IP rights and competition law in the context of technology transfer in the Iranian oil industry is a point that is discussed in this article. While intellectual property rights enjoy a historic record and appropriate rules in this regard, the competition rights in Iran are taking their initial steps. This imbalance stems from the root of the formation of the legal system of oil in Iran based on contractual frameworks over time. The point to be made in this article is that technology transfer can be expected to take place when the type and purpose of technology transfer have already been defined by legal organizations in relation to the relevant industries. Also, the general targeting in the upstream laws alone cannot meet the legal requirements for the transfer of appropriate technology. Therefore, when even one of the mentioned factors does not exist, one cannot expect constructive interaction in the above-mentioned legal systems.

The present study investigates the impact of macroeconomic and bank-specific variables on non-performing loans (NPLs). To avoid the identification problem, two models are employed to address this impact. The first one tests the effect of macroeconomic variables including the growth of oil revenues, inflation, and the growth of GDP without the oil sector on the growth of NPLs. Data is quarterly over the period 2004:3 to 2019:3. The transition variable in this setup is the growth of oil revenues and its threshold is 9 percent, which divides the sample into oil booms and oil recessions. According to the results, inflation has a significant positive effect on NPLs. During the oil boom, oil revenues decrease the NPLs. Due to the immense size of the government and its current and capital expenditures, when oil revenues are lower, the government forces banks to allocate loans to finance projects with long maturity. Furthermore, the present study used PSTR to test the impact of bank-specific variables consisting of interest rate spread, loan loss provision, loan to deposit ratio, and NPLs. To do so, monthly data of 10 banks is used over 2016:04 to 2020:12. The transition variable is the interest rate spread at 1 percent, which categorizes the banks into two groups of good and bad. Good banks collect deposits with a low-interest rate and allocate high-rate loans with less chance of default. So, interest spread is the most important prominent determinant of decreasing NPLs, while the loan to deposit ratio is dependent on the banks belonging to which group. For good banks, the loan to deposit ratio decreases the NPLs, while for bad banks, it worsens the growth of NPLs.

Economic growth is the most common goal in any economy, and capital is one of the most important determinants of growth. In the last few decades, the use of securities in various countries' capital markets has expanded and has become an essential part of the economic system supplying the capital need for investors and other institutions. This study aims to analyze the effect of securities used to finance banks (securitization) on economic growth. For this purpose, the theoretical analysis method is used in the framework of a Dynamic Stochastic General Equilibrium (DSGE) model. The theoretical model used is based on Frank Ramsey's (1928) economic growth model. To transform this model into a suitable model for research, the shadow banking system and securitization have been added. The model is then simulated using the calibration method and using the real data of the US economy; then, the macroeconomic changes and fluctuations created by bank securities are explained and analyzed. According to the research findings, issuing securities by banks will lead to slower economic growth. Therefore, it is recommended to avoid the use of securitization in banking.