Ahmad Sadraei Javaheri; Ali Hussein Ostadzad
Abstract
This paper aims at estimating the efficiency of hydroelectric power plants (renewable energy resources) and thermal power plant (non-renewable energy resources) in Iranian provinces. Data Envelopment Analysis (DEA) approaches is applied to estimate the efficiency. The network is modeled as a linear system ...
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This paper aims at estimating the efficiency of hydroelectric power plants (renewable energy resources) and thermal power plant (non-renewable energy resources) in Iranian provinces. Data Envelopment Analysis (DEA) approaches is applied to estimate the efficiency. The network is modeled as a linear system with multiple inputs and one output. Fuel cost, labor force, operation cost are used as inputs. Electrical energy delivered per year is used in the model as output. The study offers some detailed policies to improve the efficiency of the plants. Mean technical efficiency of hydroelectric power plant in 2011 and 2010 are 62% and 53%, respectively. Mean technical efficiency of thermal power plant in 2011 and 2010 is 82% and 77%, respectively. The results of the study indicate that mean technical efficiency of thermal power plant in 2010 and 2011 is higher than efficiency of hydroelectric power plants.
Vahid Shahabinejad; Mohammad Reza Zare Mehrjerdi; Morteza Yaghoubi
Abstract
The aim of this paper is to analyze total factor productivity (TFP) growth and its components in Asian countries applying Stochastic Frontier Analysis (SFA) to the time series data of 44 Asian countries from 2000 to 2010. Using Battese and Coelli approach, TFP is divided into technical efficiency change ...
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The aim of this paper is to analyze total factor productivity (TFP) growth and its components in Asian countries applying Stochastic Frontier Analysis (SFA) to the time series data of 44 Asian countries from 2000 to 2010. Using Battese and Coelli approach, TFP is divided into technical efficiency change and technical change. TFP decomposition using SFA method for the years 1998 to 2007 indicates that in 75 % of these economies, the role of technical change in productivity growth is negative. Only in 11 countries technical change had a positive role in productivity growth. The growth of TFP shows that Japan has the highest productivity growth (2.55 %) and Saudi Arabia, Korea and Hong Kong are located in subsequent positions. Furthermore, due to the lowest technical progress, newly independent countries, such as Armenia, Azerbaijan, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan have the slowest TFP growth.