Volume 5, Issue 18 (3-2015)                   jemr 2015, 5(18): 47-86 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Naderi R, Pourkazemi M H, farahanifard S. Ramsey Pricing Method for Natural Gas in Household Sector and Fuzzy Regression Estimation Method. jemr. 2015; 5 (18) :47-86
URL: http://jemr.khu.ac.ir/article-1-911-en.html
Abstract:   (4455 Views)
Public pricing of products is one of the most important economicalissues, since any changes in the pricing, affects both the welfare ofconsumers and quantity of goods and Services which are produced.
In this paper which is done for natural gas pricing  in Iran, the purpose is giving a price that the government can consider it as a suitable choice for using in subsidies targeting project. These prices have two advantages: first, they try to maximum the social economical welfare (summation of producer and consumer surplus) second, this method solve the problem that the producer has in covering their costs (by marginal cost pricing) because of increasing returns to scale.
This paper deals with the optimal gas pricing in household sector in Iran by the Ramsey method of pricing.
In this regard we have used fuzzy regression (because of its accuracy and devoid of classic regression restrictions) and the data from 1977 to 2011 for estimating production function and returns to scale in natural gas production side. Also for estimating demand function and elasticity we have used ARDL method and data from 1350 to 1389. The results shows that the current prices aren’t optimum and despite implementation of subsidies targeting project the prices are low.
Full-Text [PDF 671 kb]   (951 Downloads)    
Type of Study: Applicable | Subject: انرژی، منابع و محیط زیست
Received: 2013/12/21 | Accepted: 2014/11/16 | Published: 2015/03/1

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


© 2019 All Rights Reserved | Journal of Economic Modeling Research

Designed & Developed by : Yektaweb