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:: Volume 2, Issue 3 (Quarterly Journal Of Energy Policy and Planning Research 2016) ::
2016, 2(3): 33-59 Back to browse issues page
Industrial Electricity Demand in Selected Provinces of Iran: A Dynamic Panel Data Model
Vida Varahrami * , Nafiseh Shateri
Abstract:   (5178 Views)

In this study, we have used panel data to estimate the demand for electrical energy in industrial sector for selected provinces (Tehran, Isfahan, Khuzestan, Markazi and Hormozgan) during period 2001-2013. Variables used in this model include real value added of industrial sector in the selected provinces, real price of petroleum products as a substitute variable, real price of electricity and number of industrial subscribers. The results of the model indicate that in the short run by increasing electricity price by one percent, the electricity demand is reduced by five percent. Petroleum products act as complementary goods for electricity. There is a significant positive relationship between electricity demand and number of subscribers and value added of the industrial sector.

Keywords: Industrial Electricity Demand, Prices Elasticities, Dynamic Panel Data model
Full-Text [PDF 800 kb]   (1663 Downloads)    
Type of Study: Research | Subject: Special
Received: 2017/06/12 | Accepted: 2017/06/12 | Published: 2017/06/12
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varahrami V, Shateri N. Industrial Electricity Demand in Selected Provinces of Iran: A Dynamic Panel Data Model . Quarterly Journal of Energy Policy and Planning Research 2016; 2 (3) :33-59
URL: http://epprjournal.ir/article-1-246-en.html


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Volume 2, Issue 3 (Quarterly Journal Of Energy Policy and Planning Research 2016) Back to browse issues page
مجله پژوهش های برنامه ریزی و سیاستگذاری انرژی Journal of Energy Planning And Policy Research
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