• مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
Zahra Dehghan Shabani; Ebrahim Hadian; masoumeh mousavi
Abstract
Air pollution concerns, climate change, and sustainable development necessitate the discussion of the dynamics of energy intensity. Nowadays, energy convergence is widely used as a tool for considering the dynamics of energy intensity. The energy intensity convergence in manufacturing industries is suitable ...
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Air pollution concerns, climate change, and sustainable development necessitate the discussion of the dynamics of energy intensity. Nowadays, energy convergence is widely used as a tool for considering the dynamics of energy intensity. The energy intensity convergence in manufacturing industries is suitable to assess whether there is a knowledge spillover between manufacturing industries and whether government policies have been effective for reducing energy intensity in manufacturing industries. The purpose of the study is to examine energy intensity convergence in Iranian manufacturing industries. To do that, we collected data from nine manufacturing industries from 1995 to 2015 and employed the generalized method of moments in panel data (GMM) technique. The results of the model estimation show that there is convergence of energy intensity in the manufacturing industries.
• مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
Ahmad Sadraei javaheri; Elaheh Abbaspour Kazerouni
Abstract
Energy is one of the essential inputs in production that due to inefficient and inappropriate use of its resources, its consumption has increased significantly. In this regard, the identification of factors affecting energy consumption in the provinces is important. This study aims to investigate the ...
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Energy is one of the essential inputs in production that due to inefficient and inappropriate use of its resources, its consumption has increased significantly. In this regard, the identification of factors affecting energy consumption in the provinces is important. This study aims to investigate the effect of urbanization on energy consumption in Iranian provinces. To do so, we used the STIRPAT model to design the econometric model. The spatial error econometric model in panel data was used to estimate the effect of urbanization on energy consumption in 28 Iranian provinces from 2002 to 2015. The results show that the relationship between urbanization and energy consumption is inverted U-shaped. This finding indicates that an increase in urbanization first causes to increase and then decreases energy consumption.
