اخبار و اعلانات

 آمار

تعداد نشریات24
تعداد شماره‌ها859
تعداد مقالات7,631
تعداد مشاهده مقاله13,515,242
تعداد دریافت فایل اصل مقاله11,637,831
Zare Mehrjerdi, Mohamad Reza, Ziaabadi, Maryam, Irani-Kermani, Fatemeh. (1391). Investigating the Factors Affecting Energy Consumption in the Iranian Agricultural Sector Using Parametric and Nonparametric Methods. , 1(1), 111-125. doi: 10.22099/ijes.2012.591
Mohamad Reza Zare Mehrjerdi; Maryam Ziaabadi; Fatemeh Irani-Kermani. "Investigating the Factors Affecting Energy Consumption in the Iranian Agricultural Sector Using Parametric and Nonparametric Methods". , 1, 1, 1391, 111-125. doi: 10.22099/ijes.2012.591
Zare Mehrjerdi, Mohamad Reza, Ziaabadi, Maryam, Irani-Kermani, Fatemeh. (1391). 'Investigating the Factors Affecting Energy Consumption in the Iranian Agricultural Sector Using Parametric and Nonparametric Methods', , 1(1), pp. 111-125. doi: 10.22099/ijes.2012.591
Zare Mehrjerdi, Mohamad Reza, Ziaabadi, Maryam, Irani-Kermani, Fatemeh. Investigating the Factors Affecting Energy Consumption in the Iranian Agricultural Sector Using Parametric and Nonparametric Methods. , 1391; 1(1): 111-125. doi: 10.22099/ijes.2012.591

Investigating the Factors Affecting Energy Consumption in the Iranian Agricultural Sector Using Parametric and Nonparametric Methods

Iranian Journal of Economic Studies
مقاله 7، دوره 1، شماره 1، تیر 2012، صفحه 111-125    اصل مقاله (242.41 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22099/ijes.2012.591
نویسندگان
Mohamad Reza Zare Mehrjerdi* 1؛ Maryam Ziaabadi2؛ Fatemeh Irani-Kermani3
1Professor of Economics in Shahid Bahonar University of Kerman
2M.S in agricultural economics in Shahid Bahonar University of Kerman
3faculty member, economics dept., Shahid Bahonar university of Kerman. Iran
چکیده
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.
کلیدواژه‌ها
Keywords: Energy؛ Genetic Algorithm؛ Agriculture؛ VECM؛ Iran JEL Classification: Q1؛ Q43؛ Q49
آمار
تعداد مشاهده مقاله: 2,668
تعداد دریافت فایل اصل مقاله: 1,729


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب