• مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
Mohsen Pourebadollahan Covich; Elham Nobahar; Sakineh Sojoodi; Reza Khalafi
Abstract
In analyzing the efficiency of electricity distribution companies, according to the economies of scale hypothesis, due to the existence of natural monopoly properties, larger firms are expected to be technically more efficient (ceteris paribus). To investigate this issue, this study assessed the technical ...
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In analyzing the efficiency of electricity distribution companies, according to the economies of scale hypothesis, due to the existence of natural monopoly properties, larger firms are expected to be technically more efficient (ceteris paribus). To investigate this issue, this study assessed the technical efficiency, economies of scale, and economies of scope of Iranian electricity distribution companies during 2011-2017 and examined their relationship with company size. For this purpose, the stochastic frontier analysis technique and the input distance function approach were used. The results show that technical efficiency first decreases and then increases with increasing company size. The results also show that economies of scale are present in most companies, although the use of economies of scale decreases as company size increases. Finally, economies of scope were observed in all the companies studied, and their magnitude decreases as company size increases. Therefore, it can be said that the hypothesis of economies of scale implying higher technical efficiency of larger companies, is not confirmed, although the necessary condition for the establishment of a natural monopoly is present in Iranian electricity distribution companies
saeed shavalpour; Elahe Kaviani
Abstract
The paper investigates the effects of oil price fluctuations on the installed capacity of wind energy in developing countries in comparison with the impact of economies of scale and technical learning. To this end, we used rolling regression analysis and data from 2003 to 2015 to calculate annual technical ...
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The paper investigates the effects of oil price fluctuations on the installed capacity of wind energy in developing countries in comparison with the impact of economies of scale and technical learning. To this end, we used rolling regression analysis and data from 2003 to 2015 to calculate annual technical learning rates. Using the panel data regression and autoregressive model based on panel data we analyzed the effect of oil price fluctuations on wind energy installed capacity as the most advanced renewable energy in developing countries. The results show that oil price changes in the long run have a positive but limited impact on the development of renewable energy in developing countries. Oil price shocks, although in the short term and driven by the incentive of developing countries to transfer higher-tech technologies to renewable energy can not in the long term alone, guarantee the development of renewable energy in these countries
Farhad Rahbar; Kioumars Heydari; hadi ghahramani
Abstract
Correct pricing power of the most important tools for comprehensive planning for safe and efficient use of electricity (consumption efficiency) and integrity investments to meet electricity demand (production efficiency) is considered. The purpose of efficiency Justifies pricing based on the first best ...
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Correct pricing power of the most important tools for comprehensive planning for safe and efficient use of electricity (consumption efficiency) and integrity investments to meet electricity demand (production efficiency) is considered. The purpose of efficiency Justifies pricing based on the first best (Price equal to marginal cost). on the other hand, Pricing based on marginal cost, resulting in a deficit (loss) for the firm if the Industry investigated is facing with economies of scale that should be covered. In the present study, the total cost of the long-term function for the electricity industry over the period 1373-1390 to form translog and directly (using the price of inputs and outputs industry) is estimated. Further, by extracting the optimal price based on different scenarios, the deficit resulting from this type of pricing is calculated and the share of the deficit in each of the sectors of production of transmission and distribution is determined. Ramsey pricing, block pricing, Repayment of the facilities derived from government In front obligations of the state for the difference in rates, using Privatization capacity and The installments of private sector With their claim the sale of electricity to the state-owned holding companies are the main solutions that In order to offset that loss, have been proposed.
Mohammad Nabi Shahiki Tash; Ali Norouzi; Ghulam Ali Rahimi
Volume 2, Issue 6 , April 2013, , Pages 75-105
Abstract
In this Study, We applied Translog cost function with four Input (Labor, Capital, Energy and Material) and ISUR[1]method for analysis of the cost structure of 11 most Energy intensive sub sector industries (With 4 Digit ISIC[2]code) of Manufacture of other Non-Metallic Mineral Products (Code26) and Manufacture ...
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In this Study, We applied Translog cost function with four Input (Labor, Capital, Energy and Material) and ISUR[1]method for analysis of the cost structure of 11 most Energy intensive sub sector industries (With 4 Digit ISIC[2]code) of Manufacture of other Non-Metallic Mineral Products (Code26) and Manufacture of Basic Metals (Code 27) during the period 1375-87. Input Share, Economies of Scale, Minimum Efficient Scale, Own-cross price elasticity and Morishima elasticity of substitution were calculated. The important results of this study is the detection of Scale effects, which reveals possibilities for increasing Scales (products) and reducing costs. The result of Cross-price and Morishima Elasticity of substitution shows that all Input substitution elasticities areElastic. This case indicates that the Firm's Manager of Energy intensive industries have a lot of options to substitute one input for the other inputs.
[1]. Iterative Seemingly Unrelated Regressions
[2]. International Standard Industrial Classification
