Saeed Sadzada Mogadam; Zin al-Abedin Sadeghi; Ahmad Quds Elahi
Volume 2, Issue 6 , April 2013, , Pages 107-127
Abstract
This paper intends to estimate the energy demand function in industry section based on the two-stage optimization approach. Consequently, it defines the substitution elasticity between inputs. Energy demand estimation in various sections makes it feasible to define energy policies. At the first phase ...
Read More
This paper intends to estimate the energy demand function in industry section based on the two-stage optimization approach. Consequently, it defines the substitution elasticity between inputs. Energy demand estimation in various sections makes it feasible to define energy policies. At the first phase the key influential factors on the energy demand function estimation in industry section which is one of high consumption section, were defined and at the next phase the elements of energy demand were determined through logit function and seemingly unrelated regression estimation and price and substitution elasticity were calculated.
Shahram Golestani; Saeed Sadrzadeh Moghadam; Safieh Azimzadeh
Volume 1, Issue 3 , July 2012, , Pages 17-34
Abstract
One of the most important steps in establishing industrial plants, is location studies for determining the best location of industries. Because of the long run impact of this decision, and it’s significant impact on the economy, environment and society. Thanks to vast oil reserves, Iran is the ...
Read More
One of the most important steps in establishing industrial plants, is location studies for determining the best location of industries. Because of the long run impact of this decision, and it’s significant impact on the economy, environment and society. Thanks to vast oil reserves, Iran is the fourth oil producer in the world. Insufficiency of refining capacity and increasing domestic demand for oil products, have made Iran an importer of oil product like gasoline. Running petroleum production at full capacity is very important and in this way the expansion of existing refineries or building new plants (construction of oil refineries) are appropriate plans ahead. Given the high costs of constructing oil refineries in the country by the state-owned oil industry, building a new refinery is too important in order to choose mechanism that minimizes the total costs. So Determining the best and most suitable place for building a new refinery is very important. This study using both GIS and econometric likelihood linear models like logit and probit seeks to determine the optimal location for establishing an oil refinery in various geographical areas of the country. In this study, some geographical criteria such as slope and elevation of land are used in the GIS section then all areas is studied and the areas that had the initial condition have been screened. Finally, using the logit and probit models, the suitable areas were analyzed based on economic criteria and final ranking has been done.
