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This study aims to analysis the factors influencing on demand for Vietnam Electricity. In this paper, the author builds the Vietnam Electricity Quantity Demand function based on the Alfred Marshall model. | Application of Alfred Marshall model for estimating Vietnam electricity demand Accounting 6 2020 17 22 Contents lists available at GrowingScience Accounting homepage www.GrowingScience.com ac ac.html Application of Alfred Marshall model for estimating Vietnam electricity demand Ngoc Xuan Vua a Faculty of Economics National Economics University Vietnam CHRONICLE ABSTRACT Article history This study aims to analysis the factors influencing on demand for Vietnam Electricity. In this Received May 19 2019 paper the author builds the Vietnam Electricity Quantity Demand function based on the Alfred Received in revised format June Marshall model. The data used to build this function contains 276 observations from Jan 1995 23 2019 to December 2017 . The author also analyzes the elasticity and the impacts of different factors Accepted June 29 2019 Available online to influence the Vietnam Electricity Quantity demanded. The study uses multiple linear June 29 2019 regression model and the results indicate that all observations were meaningful when the level Keywords of significance was five percent. The results also indicate that demand for electricity will increase Gross Domestic Product GDP over the next few years and policy makers have to take some action for the development of the Elasticity of Demand Ed electricity industry. Power Purchasing Parity PPP Unemployment Rate UR Vietnam Electricity Group EVN 2020 by the authors licensee Growing Science Canada 1. Introduction During the past few years there have been tremendous efforts for electricity demand forecasting in the world. According to Akay and Atak 2007 there is a growing demand for energy supply and more especially for electricity in the world. They used grey prediction with rolling mechanism GPRM method for estimating the Turkey s electricity consumption. Filippini and Pachauri 2004 estimated the seasonal price and income elasticities of electricity demand in the residential sector of all urban areas of India .
