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:: Volume 14, Issue 53 (Summer 1396 2017) ::
QEER 2017, 14(53): 61-103 Back to browse issues page
Identification of Factors that Influence Iran's Provincial Energy Intensity Index: A Spatial Dynamic Panel Data Approach
Abstract:   (675 Views)
Among the important factors that cause differences in energy intensity between countries and amongst regions in a country is their geographical location.  Inter-provincial and cross-country empirical studies can correctly model energy intensity by relying on spatial characteristics and eliminating estimation biasses.  Energy intensity in Iranian province is influenced by such spatial factors as climate, size and existence of industrial poles. This study investigates the factors that affect the energy intensity index in Iranian provinces and estimates spatial autocorolation over the period 2000-2013. For this purpose, we estimate an emprical model using panel data and determine the relevant coefficients by applying spatial panel econometric techniques and the quasi-maximum likelihood (QMLE) method.  Our model estimates the regional spatial elasticity of energy intensity to be 0.55. Therefore, to reduce energy intensity at the  provincial level we need to act regionaly. The most important policy recommendations of this study for scholars and policymakers are detailed in the paper.
JEL Classification: Q43, R11, O14, C33.
Keywords: Energy Intensity Index, Industrialization, Urbanization, Iran's provinces, Spatial Panel Econometric.
Full-Text [PDF 1510 kb]   (405 Downloads)    
Type of Study: Research | Subject: Panel Data
Received: 2016/10/27 | Accepted: 2017/06/28 | Published: 2017/09/20
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Identification of Factors that Influence Iran's Provincial Energy Intensity Index: A Spatial Dynamic Panel Data Approach. QEER. 2017; 14 (53) :61-103
URL: http://iiesj.ir/article-1-774-en.html

Volume 14, Issue 53 (Summer 1396 2017) Back to browse issues page
فصلنامه مطالعات اقتصاد انرژی Quarterly Energy Economics Review
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