Showing 4 results for Nazemi
Ali Nazemi, Phd Rahman Khoshakhlagh, Phd Mostafa Emadzadeh, Phd Alimorad Sharifi,
Volume 2, Issue 4 (6-2011)
Abstract
The Iranian electricity market is undergoing the first decade of restructuring. Effective competition in wholesale electricity market is a necessary feature of successful electricity industry restructuring. The paper examines the degree of competition in the Iranian electricity market during March to September 2009. The competitive benchmark analysis has been used to simulate producer’s behavior as a price taker firms and compare the competitive market results with actual market outcomes. The competitive benchmark has been calculated through generation costs of producers. Moreover, the possibility of execution market power has been considered by structural index. The finding indicates that the Iranian electricity market has a considerable potential to exercise power market and there were significant departure from competitive behavior during 2009.
Ali Nazemi, Shadi Khalil Moghaddam, Majid Feshari,
Volume 6, Issue 22 (12-2015)
Abstract
In recent years, the sudden increase in environmental awareness has resulted in more attention to this sector. On this basis, the economic load distribution models, that previously observed merely the minimization of the cost of production and determination of optimal arrangement of producers based on minimization of the total cost, are now facing a fundamental change in execution and modeling. Based on this, the optimal arrangement of producers will now be determined based on two objectives of a minimum cost of production and a minimum environmental pollution. Obviously, with the situation in mind, the problem changes from a single- objective one to a multi-objective problem. The present study takes into account the question of optimal economic and environmental distribution, and its goal is to determine the optimal arrangement of producers in a situation where both the economic and environmental objectives are achieved. The model has been implemented by E-Constraint algorithm. The modeling in this study has been performed for the practical development in Esfahan Electricity Inc. market, in 2012. The results from this model show that the real performance of the market is different from the economic and environmental optimums. The results show the fact that because of the disregard for the environmental costs, the real deviation of performance from the optimum condition is practically much more serious and extensive in the environmental sector.
Ali Nazemi, Reihaneh Azhdar, Majid Feshari, Shima Nouri,
Volume 7, Issue 26 (12-2016)
Abstract
In this study, the effect of fare changes on commuters' motivation to change their travel time in the Tehran subway during peak hours was evaluated. A sample of 432 Tehran metro passengers who commuted between 6:30 and 9 am was studied, and their preferences were examined. The main question in this article is whether fare changes could affect passenger behavior. We evaluated fare changes and influencing factors using discrete choice models, including Probit regression models. The results indicated that commuters who received an allowance from their workplace were more willing to change their departure time. People with flexible schedules were not attracted to fare changes, as they perceived little benefits from this adjustment. The findings of this study suggest that increasing fares during the morning peak is not an effective measure. They indicate that people are more motivated when being rewarded rather than punished. Moreover, some commuters might decide to use a different mode of transportation for commuting instead of taking an earlier subway trip, which would have a negative implication for morning transportation.
Ali Mirzaei, Ali Nazemi, Siab Mamipour,
Volume 12, Issue 45 (11-2021)
Abstract
Achieving reality-based valuation of innovative companies is an undeniable challenge for the founders and investors of innovation. The purpose of this study is to model a logical, innovative and scalable approach to valuing innovative companies. In this way, by selecting the Earning Before Interest and Tax (EBIT) of the studied innovative company, as a state variable and simulating its future income flows based on Arithmetic Brownian Motion (ABM) standard and using the framework of Real Option Valuation (ROV) method, the valuation model was created. The accuracy and efficiency of this model was proved by extracting the data of the fiscal years from 1392 to 1395 of Gamron Petro Industry Exchange Company and comparing the results of the model with the market value of the company in Tehran Stock Exchange. On the other hand, in order to test the effect of real interest rate on the model results, by defining three different values of real interest rate, the effect of real interest rate fluctuation on the model evaluation results was investigated. Thus, the high flexibility of the model using the method of real option valuation is fully reflected in the research results.
