Energy Management and Engineering
Mohammad Mottaghi
Abstract
Iran is one of the most important oil and gas producing countries in the world with 153.8 billion barrels of crude oil and 33.5 billion cubic meters of gas accounting for 9.3% and 18% share of the total oil and gas reservoirs respectively. Rich hydrocarbon reservoirs along with a special geographical ...
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Iran is one of the most important oil and gas producing countries in the world with 153.8 billion barrels of crude oil and 33.5 billion cubic meters of gas accounting for 9.3% and 18% share of the total oil and gas reservoirs respectively. Rich hydrocarbon reservoirs along with a special geographical location are of the most important competitive advantages of Iran. The oil value chain has a special place in the social, economic structure and the level of the development of Iran. In policy-making, especially in global equations and in the long run, where uncertainty is an integral part, it is necessary to pay attention to this area. As a strategic knowledge, future studies can play an important role in mapping the future. In the current study, the possible and plausible futures of Iran’s fossil energies (oil and gas) in the 2035 horizon are presented in the form of four scenarios. In an environment where variables are dynamic and constantly changing, and uncertainty is high, using scenario building methods is preferable for long-term horizons. In this work, 30 drivers with a high uncertainty and impact on the future of Iran’s oil and gas were produced. Using the cross-impact analysis model and the balanced impact model, out of 41,472 possible scenarios, 10 scenarios with the maximum compatibility were obtained and presented in four scenarios: a clean scenario (low carbon), a bipolar Middle East scenario, a cooperation and development scenario, and a postponed dream scenario.
Accounting
Mohsen Rashidi
Abstract
The purpose of this study is to investigate the effect of comparability and environmental uncertainty on the expected rate of return. The current study utilizes panel regression method estimator to investigate the relationship between comparability, environmental uncertainty, and the expected rate of ...
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The purpose of this study is to investigate the effect of comparability and environmental uncertainty on the expected rate of return. The current study utilizes 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 to 2018. The results show that the comparability and uncertainty have a significant effect on the expected rate of return. In other words, the expected rate of return is a function of comparability, and it varies at different levels of comparability.
