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Paper Information

Journal:   IRANIAN JOURNAL OF ECONOMIC STUDIES   SPRING 2012 , Volume 1 , Number 1; Page(s) 111 To 125.
 
Paper: 

INVESTIGATING THE FACTORS AFFECTING ENERGY CONSUMPTION IN THE IRANIAN AGRICULTURAL SECTOR USING PARAMETRIC AND NONPARAMETRIC METHODS

 
 
Author(s):  ZARE MEHRJERDI MOHAMAD REZA*, ZIAABADI MARYAM, IRANI KERMANI FATEMEH
 
* SHAHID BAHONAR UNIVERSITY OF KERMAN
 
Abstract: 

In order to study energy consumption in Iran's agricultural sector, a Genetic algorithm concept was used to calculate significant factors affecting energy consumption between 1974 and 2008. Then, durability or "stability" of variables was assessed through econometric method (Augmented Dickey-Fuller test). In addition, long-term and short-term relationships of energy consumption were estimated using Vector Error Correction Model (VECM). Results of this study reveal that intensity of energy consumption variables in agricultural sector and Gross Domestic Product (GDP) are of great importance and have a considerable impact on energy consumption in agricultural sector of Iran. Therefore, these factors can be beneficial for policies of energy consumption conservation in agriculture sector.

 
Keyword(s): ENERGY, GENETIC ALGORITHM, AGRICULTURE, VECM, IRAN
 
References: 
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