Showing 4 results for Fotros
Dr Mohammad Hassan Fotros, Javad Baraty,
Volume 1, Issue 1 (10-2010)
Abstract
The power sector in Iran accounts for a share of 28.2 percent of the total CO2 emissions, so it is the biggest emitter of greenhouse gases. This study uses Logarithmic Mean Divisia Index (LMDI) technique to examine the role of five factors (economic growth, fuel intensity, electricity intensity, structure and quality of fuel) influencing CO2 emissions of the Power Plant sector in the period 1997-2008. Thermal efficiency and the fuel mix effects have been analyzed to determine the factors affecting changes in CO2 emissions index. The results show that the economic growth has the highest effect on the increase of CO2 emissions in the power sector during the whole period of study. Then, fuel quality effect, fuel intensity effect and the structure of production effect respectively, have influenced the growth of CO2 emissions. Changes in fuel mix have had the greatest effect on the increase of CO2 emission index, especially for the period 1387-83. Emission index displays that combined cycle power plant has the least emission index among all types of thermal power plants and hence it is the most suitable thermal power plant for the environment amongst thermal power plants .
Phd Mohammad Hassan Fotros, Hossein Yari, Reza Maboudi,
Volume 4, Issue 12 (7-2013)
Abstract
Dominance of arid and semiarid climate in a vast area of Iran along with the water consumption growth necessitates a more sophisticated planning, a more efficient operation towards an optimal allocation and conservation of water resources in the country. In recent decades many countries, including Iran, have adopted increasing block tariffs for domestic water management. This policy is based on a progressive tariffs applied to control and manage the residential water consumption.
In this paper, we developed a panel data model to investigate the impact of increasing block pricing on the residential water consumption during 2004-2008. The average and marginal price models of demand for residential water have been estimated to examine the effects of households’ income and the climate conditions on the residential water consumption. Results show that the increasing block pricing system has not efficiently controlled the residential water consumption in Iran.
Nader Mehregan, Mohammad Hassan Fotros, Ali Akbar Gholizadeh, Younes Teymourei,
Volume 7, Issue 24 (6-2016)
Abstract
This paper considers spatial distribution of industrial activities and effective factors on such a distribution. Ellison and Glaeser’s spatial concentration index, has been used for measureing spatial distribution of industry. This index has been calculated by Ad-value variable for 30 provinces of Iran and for period of 2006-2013. So, The spatial panel data model has been used in order to stimate impact of effective factors on spatial concentration. Results of this paper, show that distribution of industrial activities between provinces is strongly unequal. Azarbaijan Sharghi, Markazi, Ghazvin and Tehran provinces by 0.03, 0.04, 0.05 and 0.06 for EG index, are the most industrial provinces respectively. Boushehr, Hormozgan and Ilam provinces with 0.68, 0.28 and 0.26 for EG index are the worst industrial provinces. Also, Results from estimating model show that spatial dependance of provinces is equal to 0.31. Increasing return to scale and transportation costs, each one by 0.07 and 0.001 for coefficient in model, are effective on spatial distribution of industry.
Samaneh Mohamadkhani, Mohammad Hassan Fotros, Mohamad Mowlaei,
Volume 11, Issue 41 (10-2020)
Abstract
The importance of non-oil exports and their role in the economic growth and development of countries has always been discuss as an important issue in the economy. Meanwhile, the role of high-tech exports in the growth of developed countries has been significant and developing countries, in order to succeed in the growth of production and export of their industrial goods under the constraint of globalization, have no choice but to increase production and export of high-tech products, use more advanced production techniques and save on production costs. This is especially true in the case of Iran, which has always faced the problem of macroeconomic indicators due to its dependence on oil revenues and the destructive impact of oil revenues on political and economic issues, especially the issue of oil sanctions. In this regard, the aim of the present study was to investigate the factors affecting the export of high-tech products based on the four-digit ISIC codes in Iran in the period 1397-1375 using the ARDL Panel method.
The results of the study show that the costs of domestic research and development, foreign accumulation of research and development and commercialization in the short and long term, and the degree of openness of the economy and human capital in the long run have a positive and significant effect on high-tech exports in Iran. Also, the exchange rate in the short term has no meaningless effect and in the long run has no negative and significant effect, and inventions in the short and long term have no significant effect on the export of these products.
