Showing 6 results for Manzoor
Dr Davoode Manzoor, Mohammad Kazem Safakish,
Volume 2, Issue 4 (6-2011)
Abstract
Increase in environmental pollutions of fossil fuels calls for policies stimulating clean technology deployment especially in the transportation sector. To evaluate the efficacy of these policies we should explore the preferences of consumers regarding different technologies. In this paper we use a discrete choice approach used in “Canadian Integrated Model system” (SIMS) to identify the behavioral components. This model has a hybrid top-down bottom-up structure. For this purpose we estimate a multi-nominal logit model (MNL) for different automobile technologies and different transportation modes based on preferences revealed by a sample of 250 Tehran citizens. Then, we evaluate the effects of economic, technological and environmental policies on market share of different automobile technologies and air pollution in Tehran. These policies include gasoline price increase, pollution tax, limitations on single passenger cars and limitations on use of gasoline driven cars. According to this analysis, technology based policies can effectively correct the market shares towards clean traffic technologies
Dr Manzoor Davod, Hossein Rezaee,
Volume 2, Issue 6 (12-2011)
Abstract
This paper aims to determine the optimum price of electricity during restructuring process. We maximized social welfare function subject to market equilibrium, maximum production capacity of each group of power plants, maximum demand of each consumer type and the potential of electricity export and import. The model was run using 2007 monthly and annual data by means of GAMS optimization software. The calculated electricity shadow price for the year 2007 was 371.2 per KWh. To get more exact results we run the model for each month separately. The results show that the price of electricity in spring and summer is lower than fall and winter, for marginal cost of power provision in winter rises. This is due to substitution of gas by gasoil and other liquid fuels and also reduction of hydropower production. For both intervals the actual price has a significant deviation from optimum price in Iranian power market.
Davood Manzoor, Marziyeh Bahalou Horeh,
Volume 6, Issue 21 (10-2015)
Abstract
Many countries all over the world will see widespread demographic changes in the decades to come. The demographic change will affect the economy and the labor market of these countries. In this paper we employ a multi-sector computable general equilibrium model to study the impacts of demographic change on the welfare, employment and activity level of economic sectors in Iran. The model includes seven economic sector and two types of labor-skilled and unskilled. We also considere the choice between leisure and work and labor mobility in the model. The model is calibrated based on the 2001 Micro consistent matrix. Results demonstrate that in the youth period, employment and activity level of sectors will increase. Furthermore, the increase in activity level will lead to an increase in income and welfare. When the population ages, on the other hand, welfare, employment and activity level of sectors will diminish.
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Sajad Rajabi, Davood Manzoor,
Volume 10, Issue 35 (3-2019)
Abstract
In this paper, the Expanding extraction method of Dietzenbacher & Lahr (2013) is used and in the form of Input-Output general equilibrium model. The article assesses and evaluates the importance of the energy sector and its sub-sections in the Iranian economy based on Iranian input-output table of 2017 that is updated by RAS approach. In this way, the 10% reduction in the supply of coal, crude oil and natural gas, electricity and gas consumed has been investigated in four scenarios. Additionally, in the fifth scenario, by aggregating energy subsectors into one sector, the 10% reduction in the supply of energy in interaction with 75 sectors is measured. The results of this simulated model show that by reducing the supply of energy sector, "Manufacture of coke and refined petroleum products" will drop by 9% in value. Respectively, "Transport via pipeline" and "Manufacture of chemicals and chemical products" reduced by 4% and 2% in value added
Davood Manzoor, Sajad Rajabi, Reza Ranjbaran,
Volume 12, Issue 43 (3-2021)
Abstract
With the outbreak of the coronavirus in countries around the world and its rapid spread, governments have decided to impose restrictions and social distancing. Restrictions and closures of businesses and economic activities, and changes in supply and demand patterns during this period, have exacerbated concerns among economists. This article deals with the issue of changing primary energy consumption in 18 countries in the MENA region. To this end, 10 different scenarios of the future state of the disease and its limitations have been considered. The results show that according to the best scenario (rapid and complete improvement of the epidemic), Libya with 4.38% and Iraq with 3.39% will have the largest decrease, and according to the worst-case scenario (explosive disease exacerbation and complete quarantine), Libya with 12.6% and Syria with 12.3% will have the greatest reduction in primary energy consumption. The three countries, Syria, Lebanon, and Iran, also had the most differences in the pessimistic and optimistic scenario. Also, taking into account the total changes in the primary energy consumption of these 18 countries, according to the most optimistic scenario, the primary energy consumption will be reduced by 1.5% and according to the worst-case scenario, it will be reduced by 8.8%.
Davood Manzoor,
Volume 12, Issue 46 (12-2021)
Abstract
Higher Education (HE) in Iran have been subject to a major expansion and massification in the recent years, in a way that number of students approximately tripled from 2006 to 2016. This would have possibly affected labor market or unemployment rate of the country. Considering both provincial and national level, this study investigates the relationship between HE expansion and unemployment rate in the recent era (2006-2018) empirically. In this regard, number of assignments, students, and the state budget allocated to HE institutions are taken as variables indicating HE expansion so that their relationship with unemployment rate can be explored. The empirical methodology of this study in national level is to consider trends and calculating correlations for different lags. In provincial level, Granger causality and dynamic panel data regression with systemic GMM estimators are utilized as methods of the analysis. The results show a positive significant correlation exists between the state budget of HE and unemployment rate. Moreover, in provincial level, number of students and assignments Granger cause unemployment in some lags. Dynamic panel data model with numerous specifications also approve a positive significant relationship between HE expansion in provinces and their unemployment rate, however, the effect is not the same considering different models, especially for number of students.
